Articles | Volume 13, issue 4
https://doi.org/10.5194/essd-13-1547-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-1547-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
15 Apr 2021
Data description paper |
| 15 Apr 2021
| 15 Apr 2021
ADHI: the African Database of Hydrometric Indices (1950–2018)
HydroSciences Montpellier, Univ. Montpellier, CNRS, IRD,
Montpellier, France
Nathalie Rouché
HydroSciences Montpellier, Univ. Montpellier, CNRS, IRD,
Montpellier, France
Jean-Emmanuel Paturel
HydroSciences Montpellier, Univ. Montpellier, CNRS, IRD,
Montpellier, France
Gil Mahé
HydroSciences Montpellier, Univ. Montpellier, CNRS, IRD,
Montpellier, France
Jean-François Boyer
HydroSciences Montpellier, Univ. Montpellier, CNRS, IRD,
Montpellier, France
Ernest Amoussou
Département de Géographie et Aménagement du Territoire
(DGAT) de l'Université de Parakou (UP), BP 123 Parakou, Bénin
Ansoumana Bodian
Laboratoire Leïdi “Dynamique des Territoires et
Développement”, Université Gaston Berger (UGB), BP 234, Saint
Louis, Sénégal
Honoré Dacosta
Département de Géographie-FLSH, Université Cheikh Anta
Diop de Dakar, Dakar, Sénégal
Hamouda Dakhlaoui
LMHE, Ecole Nationale des Ingénieurs de Tunis, University of
Tunis El Manar, BP 37, 1002 Tunis le Belvédère, Tunisia
Ecole Nationale d'Architecture et d'Urbanisme, University of
Carthage, Rue El Quods, 2026, Sidi Bou Said, Tunisia
Alain Dezetter
HydroSciences Montpellier, Univ. Montpellier, CNRS, IRD,
Montpellier, France
Denis Hughes
Institute for Water Research, Rhodes University, South Africa
Lahoucine Hanich
L3G Laboratory, Earth Sciences Department, Faculty of Sciences &
Techniques, Cadi Ayyad University, BP 459, 40000 Marrakech, Morocco
Center for Remote Sensing Applications, Mohammed VI Polytechnic University (UM6P), Benguérir, Morocco
Christophe Peugeot
HydroSciences Montpellier, Univ. Montpellier, CNRS, IRD,
Montpellier, France
Raphael Tshimanga
Congo Basin Water Resources Research Center (CRREBaC), University of
Kinshasa, Kinshasa, Democratic Republic of the Congo
Patrick Lachassagne
HydroSciences Montpellier, Univ. Montpellier, CNRS, IRD,
Montpellier, France
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Serigne Bassirou Diop, Job Ekolu, Yves Tramblay, Bastien Dieppois, Stefania Grimaldi, Ansoumana Bodian, Juliette Blanchet, Ponnambalam Rameshwaran, Peter Salamon, and Benjamin Sultan
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Christophe Cudennec, Ernest Amoussou, Yonca Cavus, Pedro L. B. Chaffe, Svenja Fischer, Salvatore Grimaldi, Jean-Marie Kileshye Onema, Mohammad Merheb, Maria-Jose Polo, Eric Servat, and Elena Volpi
Proc. IAHS, 385, 501–511, https://doi.org/10.5194/piahs-385-501-2025, https://doi.org/10.5194/piahs-385-501-2025, 2025
Ather Abbas, Yuan Yang, Ming Pan, Yves Tramblay, Chaopeng Shen, Haoyu Ji, Solomon H. Gebrechorkos, Florian Pappenberger, Jong Cheol Pyo, Dapeng Feng, George Huffman, Phu Nguyen, Christian Massari, Luca Brocca, Tan Jackson, and Hylke E. Beck
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Our study evaluated 23 precipitation datasets using a hydrological model at global scale to assess their suitability and accuracy. We found that MSWEP V2.8 excels due to its ability to integrate data from multiple sources, while others, such as IMERG and JRA-3Q, demonstrated strong regional performances. This research assists in selecting the appropriate dataset for applications in water resource management, hazard assessment, agriculture, and environmental monitoring.
Marjorie Beate Kreis, Jean-Denis Taupin, Nicolas Patris, Patrick Lachassagne, Virginie Vergnaud-Ayraud, Julien Daniel Pierre Burte, Christian Leduc, and Eduardo Sávio Passos Rodrigues Martins
Proc. IAHS, 385, 393–398, https://doi.org/10.5194/piahs-385-393-2024, https://doi.org/10.5194/piahs-385-393-2024, 2024
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Ansoumana Bodian, Papa Malick Ndiaye, Serigne Bassirou Diop, Lamine Diop, Alain Dezetter, Andrew Ogilvie, and Koffi Djaman
Proc. IAHS, 385, 415–421, https://doi.org/10.5194/piahs-385-415-2024, https://doi.org/10.5194/piahs-385-415-2024, 2024
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Yetchékpo Patrick Gbohoui, Roland Yonaba, Tazen Fowé, Bernadin Elégbédé Manou, Taofic Bacharou, Yvon-Carmen Hountondji, Ernest Amoussou, Luc O. Sintondji, Jean-Emmanuel Paturel, Harouna Karambiri, and Hamma Yacouba
Proc. IAHS, 385, 435–441, https://doi.org/10.5194/piahs-385-435-2024, https://doi.org/10.5194/piahs-385-435-2024, 2024
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Abderraouf Hzami, Oula Amrouni, Essam Heggy, Gil Mahé, and Hechmi Missaoui
Proc. IAHS, 385, 377–385, https://doi.org/10.5194/piahs-385-377-2024, https://doi.org/10.5194/piahs-385-377-2024, 2024
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Marc Auriol Amalaman, Gil Mahé, Béh Ibrahim Diomande, Armand Zamblé Tra Bi, Nathalie Rouché, Zeineddine Nouaceur, and Benoit Laignel
Proc. IAHS, 385, 365–370, https://doi.org/10.5194/piahs-385-365-2024, https://doi.org/10.5194/piahs-385-365-2024, 2024
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Rodric Mérimé Nonki, Ernest Amoussou, Raphael Muamba Tshimanga, Djan'na Koubodana Houteta, Domiho Japhet Kodja, Franck Eitel Kemgang Ghomsi, and André Lenouo
Proc. IAHS, 385, 319–326, https://doi.org/10.5194/piahs-385-319-2024, https://doi.org/10.5194/piahs-385-319-2024, 2024
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This research aims to evaluate the feasibility of using multiple rainfall-runoff hydrologic models Génie Rural à 4, 5, 6 paramètres Journalier (GR4J, GR5J, and GR6J) in the Upper Benue River (UBR) in Northern Cameroon. By using the Michel's calibration algorithm, we found that the composite criterion is the most sustainable objective function for model optimization. An honest evaluation empirically proves that the GR6J model performs better than the other two models follow by GR5J.
Domiho Japhet Kodja, Gandomè Mayeul Leger Davy Quenum, Houteta Djan'na Koubodana, Ernest Amoussou, Isaiah Sewanu Akoteyon, Arsène Sègla Josué Akognongbé, Mahougnon Fidèle Ahéhéhinnou Yêdo, Gil Mahé, Jean-Emmanuel Paturel, Expédit Wilfrid Vissin, and Constant Houndénou
Proc. IAHS, 385, 359–364, https://doi.org/10.5194/piahs-385-359-2024, https://doi.org/10.5194/piahs-385-359-2024, 2024
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The results showed that there is an variability in the spatial distribution of extreme indices with an upward and downward trend of dry and wet rainfall periods in West Africa in both historical and projected periods. Thus, the results revealed that the spatio- temporal variability of extreme rainfall can have repercussions on the hydrological functioning of watersheds, water availability and water-dependent activities.
Papa Malick Ndiaye, Ansoumana Bodian, Serigne Bassirou Diop, Lamine Diop, Alain Dezetter, Andrew Ogilvie, and Koffi Djaman
Proc. IAHS, 385, 305–311, https://doi.org/10.5194/piahs-385-305-2024, https://doi.org/10.5194/piahs-385-305-2024, 2024
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The analyze of the trends of ET0 at the scale of the Senegal, Gambia and Casamance river basins using reanalyze data of NASA/POWER over 1984–2019 shows that ET0 increases significantly in 32% of the Senegal basin and decreases in less than 1% of it. In the Casamance and Gambia basins, the annual ET0 drops by 65% and 18%, respectively. Temperature and relative humidity show an increasing trend over all basins while wind speed and radiation decrease, confirming the so-called "evaporation paradox".
Koffi Claude Alain Kouadio, Siélé Silué, Ernest Amoussou, Kouakou Lazare Kouassi, Arona Diedhiou, Talnan Jean Honoré Coulibaly, Salomon Obahoundjé, Sacré Regis Didi, and Houebagnon Saint Jean Coulibaly
Proc. IAHS, 385, 39–45, https://doi.org/10.5194/piahs-385-39-2024, https://doi.org/10.5194/piahs-385-39-2024, 2024
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Hydropower (HP) is the 2nd source of energy in Côte d'Ivoire. However water resource for HP is threatened by climate change (CC). Therefore the hydro potential and production are impacted. This study investigates the impacts of future CC in the White Bandama watershed using hydrological modelling coupled with GIS analysis. It emerges that in the future an upward trend in flows will be recorded. This could contribute to the siltation of dams and an increase in the risk of flooding in the basin.
Laurent Pascal Diémé, Christophe Bouvier, Ansoumana Bodian, and Alpha Sidibé
Proc. IAHS, 385, 175–180, https://doi.org/10.5194/piahs-385-175-2024, https://doi.org/10.5194/piahs-385-175-2024, 2024
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This study aims at proposing a modelling of flows and overflows of structures at fine resolution (5 m) for rainfall intensities of different return periods. The overflow points of the network are identified by the difference between the maximum flow and the capacity of the network to evacuate floods. The results of the simulations show that the drainage network appears to be overflowing for rare frequency rainfall events (100 years). The method seems adaptable to different contexts.
Christian Yao, Modeste Kacou, Ehouman Serge Koffi, Amidou Dao, Clément Dutremble, Maurice Guilliod, Bamory Kamagaté, Jean-Louis Perrin, Christian Salles, Luc Neppel, Jean-Emmanuel Paturel, Eric Pascal Zahiri, and Luc Séguis
Proc. IAHS, 385, 259–265, https://doi.org/10.5194/piahs-385-259-2024, https://doi.org/10.5194/piahs-385-259-2024, 2024
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Rainfall causes material damage and human losses in Abidjan, Côte d'Ivoire, every year. This study shows that the period of the 60 wettest days of the long rainy season is more exposed to the risk of flooding than the rest of the year because the rains are more spatially extensive and heavier. The increase in the number of floods in recent years is probably due to the recovery of rainfall after the drought of the 80s associated with the sharp increase in urbanization of the District.
Jean-Emmanuel Paturel, Bérenger Kouacou, Franck Lohou, Frédéric Pons, Kouakou Dje, Naky Coulibaly, Harouna Karambiri, Valérie Borrell, Andrew Ogilvie, and Eric Servat
Proc. IAHS, 385, 219–224, https://doi.org/10.5194/piahs-385-219-2024, https://doi.org/10.5194/piahs-385-219-2024, 2024
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In 2011, the XVI World Meteorological Congress urged Members to make every effort to prevent the deterioration of climate-relevant data and to make these data available to support climate change analyses and relevant climate services. In response to the WMO call, we used the NUNIEAU software which allows the digitization of different types of paper documents by automatic recognition. This software has been used on rainfall pluviograms in Burkina Faso and Côte d'Ivoire.
Golab Moussa Omar, Jean-Emmanuel Paturel, Christian Salles, Gil Mahé, Mohamed Jalludin, Frédéric Satgé, Mohamed Ismail Nour, and Abdillahi Hassan Hersi
Proc. IAHS, 385, 59–64, https://doi.org/10.5194/piahs-385-59-2024, https://doi.org/10.5194/piahs-385-59-2024, 2024
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The Republic of Djibouti is a small country in the Horn of Africa and as with most regions of Africa, rain gauges are sparse. This study aims to compare at different time steps (annual, monthly, and daily) 15 rainfall estimation products (P-datasets) to 5 reference ground-based rainfall stations, over the period of 1980–1990. To classify the reliability of these products, several metrics were considered, the Kling Gupta Efficiency (KGE) and the Heidle Skills Scores (HSS at daily time step).
Ernest Amoussou, Félix Toundé Amoussou, Aymar Yaovi Bossa, Domiho Japhet Kodja, Henri Sourou Totin Vodounon, Constant Houndénou, Valérie Borrell Estupina, Jean-Emmanuel Paturel, Gil Mahé, Christophe Cudennec, and Michel Boko
Proc. IAHS, 385, 141–146, https://doi.org/10.5194/piahs-385-141-2024, https://doi.org/10.5194/piahs-385-141-2024, 2024
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The objective is to assess the causes of exceptional floods in the Ouémé basin using the HEC-RAS model. The results of the calculation made it possible to characterize: the losses and damage due to human settlement on the banks and agricultural production in the flood zone, the flooded extent and the height of submersion depend on the return period, most of the Flood waters converge towards the west of the basin (low risk) and towards the east around the Damè-Wogon depression (high risk).
Nils Poncet, Philippe Lucas-Picher, Yves Tramblay, Guillaume Thirel, Humberto Vergara, Jonathan Gourley, and Antoinette Alias
Nat. Hazards Earth Syst. Sci., 24, 1163–1183, https://doi.org/10.5194/nhess-24-1163-2024, https://doi.org/10.5194/nhess-24-1163-2024, 2024
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High-resolution convection-permitting climate models (CPMs) are now available to better simulate rainstorm events leading to flash floods. In this study, two hydrological models are compared to simulate floods in a Mediterranean basin, showing a better ability of the CPM to reproduce flood peaks compared to coarser-resolution climate models. Future projections are also different, with a projected increase for the most severe floods and a potential decrease for the most frequent events.
Lorenzo Alfieri, Andrea Libertino, Lorenzo Campo, Francesco Dottori, Simone Gabellani, Tatiana Ghizzoni, Alessandro Masoero, Lauro Rossi, Roberto Rudari, Nicola Testa, Eva Trasforini, Ahmed Amdihun, Jully Ouma, Luca Rossi, Yves Tramblay, Huan Wu, and Marco Massabò
Nat. Hazards Earth Syst. Sci., 24, 199–224, https://doi.org/10.5194/nhess-24-199-2024, https://doi.org/10.5194/nhess-24-199-2024, 2024
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This work describes Flood-PROOFS East Africa, an impact-based flood forecasting system for the Greater Horn of Africa. It is based on hydrological simulations, inundation mapping, and estimation of population and assets exposed to upcoming river floods. The system supports duty officers in African institutions in the daily monitoring of hydro-meteorological disasters. A first evaluation shows the system performance for the catastrophic floods in the Nile River basin in summer 2020.
Laurent Strohmenger, Eric Sauquet, Claire Bernard, Jérémie Bonneau, Flora Branger, Amélie Bresson, Pierre Brigode, Rémy Buzier, Olivier Delaigue, Alexandre Devers, Guillaume Evin, Maïté Fournier, Shu-Chen Hsu, Sandra Lanini, Alban de Lavenne, Thibault Lemaitre-Basset, Claire Magand, Guilherme Mendoza Guimarães, Max Mentha, Simon Munier, Charles Perrin, Tristan Podechard, Léo Rouchy, Malak Sadki, Myriam Soutif-Bellenger, François Tilmant, Yves Tramblay, Anne-Lise Véron, Jean-Philippe Vidal, and Guillaume Thirel
Hydrol. Earth Syst. Sci., 27, 3375–3391, https://doi.org/10.5194/hess-27-3375-2023, https://doi.org/10.5194/hess-27-3375-2023, 2023
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We present the results of a large visual inspection campaign of 674 streamflow time series in France. The objective was to detect non-natural records resulting from instrument failure or anthropogenic influences, such as hydroelectric power generation or reservoir management. We conclude that the identification of flaws in flow time series is highly dependent on the objectives and skills of individual evaluators, and we raise the need for better practices for data cleaning.
Yves Tramblay, Patrick Arnaud, Guillaume Artigue, Michel Lang, Emmanuel Paquet, Luc Neppel, and Eric Sauquet
Hydrol. Earth Syst. Sci., 27, 2973–2987, https://doi.org/10.5194/hess-27-2973-2023, https://doi.org/10.5194/hess-27-2973-2023, 2023
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Mediterranean floods are causing major damage, and recent studies have shown that, despite the increase in intense rainfall, there has been no increase in river floods. This study reveals that the seasonality of floods changed in the Mediterranean Basin during 1959–2021. There was also an increased frequency of floods linked to short episodes of intense rain, associated with a decrease in soil moisture. These changes need to be taken into consideration to adapt flood warning systems.
Benjamin M. Kitambo, Fabrice Papa, Adrien Paris, Raphael M. Tshimanga, Frederic Frappart, Stephane Calmant, Omid Elmi, Ayan Santos Fleischmann, Melanie Becker, Mohammad J. Tourian, Rômulo A. Jucá Oliveira, and Sly Wongchuig
Earth Syst. Sci. Data, 15, 2957–2982, https://doi.org/10.5194/essd-15-2957-2023, https://doi.org/10.5194/essd-15-2957-2023, 2023
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The surface water storage (SWS) in the Congo River basin (CB) remains unknown. In this study, the multi-satellite and hypsometric curve approaches are used to estimate SWS in the CB over 1992–2015. The results provide monthly SWS characterized by strong variability with an annual mean amplitude of ~101 ± 23 km3. The evaluation of SWS against independent datasets performed well. This SWS dataset contributes to the better understanding of the Congo basin’s surface hydrology using remote sensing.
Benjamin Kitambo, Fabrice Papa, Adrien Paris, Raphael M. Tshimanga, Stephane Calmant, Ayan Santos Fleischmann, Frederic Frappart, Melanie Becker, Mohammad J. Tourian, Catherine Prigent, and Johary Andriambeloson
Hydrol. Earth Syst. Sci., 26, 1857–1882, https://doi.org/10.5194/hess-26-1857-2022, https://doi.org/10.5194/hess-26-1857-2022, 2022
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This study presents a better characterization of surface hydrology variability in the Congo River basin, the second largest river system in the world. We jointly use a large record of in situ and satellite-derived observations to monitor the spatial distribution and different timings of the Congo River basin's annual flood dynamic, including its peculiar bimodal pattern.
Yves Tramblay and Pere Quintana Seguí
Nat. Hazards Earth Syst. Sci., 22, 1325–1334, https://doi.org/10.5194/nhess-22-1325-2022, https://doi.org/10.5194/nhess-22-1325-2022, 2022
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Monitoring soil moisture is important during droughts, but very few measurements are available. Consequently, land-surface models are essential tools for reproducing soil moisture dynamics. In this study, a hybrid approach allowed for regionalizing soil water content using a machine learning method. This approach proved to be efficient, compared to the use of soil property maps, to run a simple soil moisture accounting model, and therefore it can be applied in various regions.
Rajae El Aoula, Gil Mahé, Nadia Mhammdi, Abdellatif Ezzahouani, Ilias Kacimi, and Kenza Khomsi
Proc. IAHS, 384, 163–168, https://doi.org/10.5194/piahs-384-163-2021, https://doi.org/10.5194/piahs-384-163-2021, 2021
Jean Hounkpè, Djigbo F. Badou, Aymar Y. Bossa, Yacouba Yira, Julien Adounkpè, Eric A. Alamou, Emmanuel A. Lawin, Luc O. C. Sintondji, Abel A. Afouda, and Ernest Amoussou
Proc. IAHS, 384, 219–224, https://doi.org/10.5194/piahs-384-219-2021, https://doi.org/10.5194/piahs-384-219-2021, 2021
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Floods are natural disasters that widely affect people, goods, and ecosystems. Some efforts have been made in predicting floods at a short-term range. However, the usefulness of flood prediction increases as the time lead increases. This work investigated covariates useful for flood prediction several months ahead. Very good relationships were found between flood discharge and some climate indexes which could serve as a basis for seasonal flood forecasting in West Africa.
Yacouba Yira, Aymar Yaovi Bossa, Ernest Amoussou, Djigbo Félicien Badou, Jean Hounkpè, and Kpade Ozias Laurentin Hounkpatin
Proc. IAHS, 384, 275–281, https://doi.org/10.5194/piahs-384-275-2021, https://doi.org/10.5194/piahs-384-275-2021, 2021
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This study addresses the importance of integrating the effect of land use on soil infiltration rate into land use change impact modeling. Based on field measurements; soil parameterization is computed in a hydrological model using a refined soil map integrating land use change impact of soil infiltration rate and a classic soil map not considering this interaction. The results show that integrating land use related effects on soil properties renders LULC change scenarios more plausible.
Oula Amrouni and Gil Mahé
Proc. IAHS, 384, 133–139, https://doi.org/10.5194/piahs-384-133-2021, https://doi.org/10.5194/piahs-384-133-2021, 2021
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Our multidisciplinary study reveals an alarming trend of beach retreat reaching −20 m ± 0.15 m yr−1 after the human-induced change over the hydrological network where ~ 50 % of sediment discharge has been trapped upstream the dams. Accros the semi arid north African coasts, the rapid shoreline retreat is due to the decreasing of sediment fluvial discharge trapped by the dam infrastrcture.
Gil Mahé, Gamal Abdo, Ernest Amoussou, Telesphore Brou, Stephan Dietrich, Ahmed El Tayeb, Henny van Lanen, Mohamed Meddi, Anil Mishra, Didier Orange, Thi Phuong Quynh Le, Raphael Tshimanga, Patrick Valimba, Santiago Yepez, Andrew Ogilvie, and Oula Amrouni
Proc. IAHS, 384, 5–18, https://doi.org/10.5194/piahs-384-5-2021, https://doi.org/10.5194/piahs-384-5-2021, 2021
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The FRIEND-Water program (FWP) is the oldest and the most transverse program within the UNESCO IHP. It allows large communities of hydrologists to collaborate across borders on common shared data and scientific topics, addressed through 8 large world regions. Research priorities evolve according to the projections given by the member States during the IHP councils. FWP further activities follow the IHP IX program with the support of the Montpellier UNESCO Category II Center ICIREWAD.
Valentin Brice Ebodé, Gil Mahé, and Ernest Amoussou
Proc. IAHS, 384, 247–253, https://doi.org/10.5194/piahs-384-247-2021, https://doi.org/10.5194/piahs-384-247-2021, 2021
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The objective of this article is to assess recent trends of hydroclimatic quantities in Ogooue basin in the context of climate change. For this, the rainfall and discharges data of this basin were analyzed using the Pettitt test. The results of this study reveal a statistically significant decrease in runoff that the Pettitt test situates in 1972–73, but nothing like that for rainfall at this same time scale.
Valentin Brice Ebodé, Gil Mahé, and Ernest Amoussou
Proc. IAHS, 384, 261–267, https://doi.org/10.5194/piahs-384-261-2021, https://doi.org/10.5194/piahs-384-261-2021, 2021
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La sécheresse observée en Afrique tropicale vers la fin des années 1960, a également affecté le bassin de la Bénoué en Afrique centrale, avec une persistance remarquable qui s’est répercutée sur les écoulements. Les ruptures à la baisse ont été mises en évidence dans les séries hydropluviométriques de ce bassin au pas de temps annuel en 1970–71 (pluies) et 1971–72 (débits). Les déficits associés à cette rupture sont de −2,9 % pour les pluies et −14,2 % pour les débits.
Yetchékpo Patrick Gbohoui, Jean-Emmanuel Paturel, Tazen Fowe, Harouna Karambiri, and Hamma Yacouba
Proc. IAHS, 384, 269–273, https://doi.org/10.5194/piahs-384-269-2021, https://doi.org/10.5194/piahs-384-269-2021, 2021
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Studying the impact of global change on water resources is essential for the West African Sahel (WAS), which is known for its fragility. In the Sahelian part of the Nakanbé watershed, located in Burkina Faso, the impact study indicated that environmental change and its interactions were the main drivers of runoff change over the period 1965-1994. Our results show that appropriate environmental management strategies could contribute to sustainable land and water resources management in the WAS.
Eliézer Iboukoun Biao, Ezéchiel Obada, Eric Adéchina Alamou, Josué Esdras Zandagba, Amédée Chabi, Ernest Amoussou, Julien Adounkpe, and Abel Afouda
Proc. IAHS, 384, 57–62, https://doi.org/10.5194/piahs-384-57-2021, https://doi.org/10.5194/piahs-384-57-2021, 2021
Lamboni Batablinlè, Lawin E. Agnidé, Kodja Domiho Japhet, Amoussou Ernest, and Vissin Expédit
Proc. IAHS, 384, 283–288, https://doi.org/10.5194/piahs-384-283-2021, https://doi.org/10.5194/piahs-384-283-2021, 2021
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The impact of climate change on precipitation and water availability is of major concern for policy makers in the Mono Basin of West Africa, whose economy mainly depends on rainfed agriculture and hydropower generation. The objective of this study is to project rainfall, flows and evapotranspiration (ET) in the future period and understand their changes across Mono River Basin.
Salomon Obahoundje, Ernest Amoussou, Marc Youan Ta, Lazare Kouakou Kouassi, and Arona Diedhiou
Proc. IAHS, 384, 343–347, https://doi.org/10.5194/piahs-384-343-2021, https://doi.org/10.5194/piahs-384-343-2021, 2021
Sakaros Bogning, Frédéric Frappart, Gil Mahé, Adrien Paris, Raphael Onguene, Fabien Blarel, Fernando Niño, Jacques Etame, and Jean-Jacques Braun
Proc. IAHS, 384, 181–186, https://doi.org/10.5194/piahs-384-181-2021, https://doi.org/10.5194/piahs-384-181-2021, 2021
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This paper investigates links between rainfall variability in the Ogooué River Basin (ORB) and El Niño Southern Oscillation (ENSO) in the Pacific Ocean. Recent hydroclimatology studies of the ORB and surrounding areas resulting in contrasting conclusions about links between rainfall variability and ENSO. Then, this work uses cross-wavelet and wavelet coherence analysis to highlight significant links between ENSO and rainfall in the ORB.
Ernest Amoussou, Gil Mahe, Oula Amrouni, Ansoumana Bodian, Christophe Cudennec, Stephan Dietrich, Domiho Japhet Kodja, and Expédit Wilfrid Vissin
Proc. IAHS, 384, 1–4, https://doi.org/10.5194/piahs-384-1-2021, https://doi.org/10.5194/piahs-384-1-2021, 2021
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This short paper is the preface of the PIAHS volume of the IAHS/UNESCO FRIEND-Water conference of Cotonou in November 2021.
Houteta Djan'na Koubodana, Kossi Atchonouglo, Julien G. Adounkpe, Ernest Amoussou, Domiho Japhet Kodja, Dambré Koungbanane, Koba Yaovi Afoudji, Yao Lombo, and Kossi E. Kpemoua
Proc. IAHS, 384, 63–68, https://doi.org/10.5194/piahs-384-63-2021, https://doi.org/10.5194/piahs-384-63-2021, 2021
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This study aims to assess simulated surface runoff before and after dam construction in the Mono catchment (West Africa) using two lumped models: GR4J (Rural Engineering with 4 Daily Parameters) and IHACRES (Identification of unit Hydrographs and Component flows from Rainfall, Evapotranspiration and Stream data) over two different periods (1964–1986 and 1988–2010). Daily rainfall, mean temperature, evapotranspiration and discharge in situ data were collected for the period 1964–2010.
Golab Moussa Omar, Jean-Emmanuel Paturel, Christian Salles, Gil Mahé, and Mohamed Jalludin
Proc. IAHS, 384, 225–231, https://doi.org/10.5194/piahs-384-225-2021, https://doi.org/10.5194/piahs-384-225-2021, 2021
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Le district de Djibouti est situé dans le bassin versant de l’Oued Ambouli qui par sa nappe aquifère procure la source principale d’alimentation en eau potable de la ville de Djibouti, mais est aussi à l’origine de crues rares et brèves avec de lourds bilans humains et économiques Le développement du district se traduit par une expansion urbaine et un développement des activités qui accentuent le risque inondation.
Rodric M. Nonki, André Lenouo, Clément Tchawoua, Christopher J. Lennard, and Ernest Amoussou
Proc. IAHS, 384, 337–342, https://doi.org/10.5194/piahs-384-337-2021, https://doi.org/10.5194/piahs-384-337-2021, 2021
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This study aims to assess the potential impacts of climate change on hydropower potential of the Lagdo dam. The results reveal that under global warming, the hydropower potential of the dam will decrease which is the result of the reduced precipitation and increase of PET, thus decrease in streamflow in the basin. This result will be take into account for future development planning in the basin.
Coffi Justin Noumon, Domiho Japhet Kodja, Ernest Amoussou, Luc O. Sintondji, Daouda Mama, and Euloge K. Agbossou
Proc. IAHS, 384, 99–105, https://doi.org/10.5194/piahs-384-99-2021, https://doi.org/10.5194/piahs-384-99-2021, 2021
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Le comblement et l’eutrophisation des retenues d’eau constituent des contraintes majeures pour les usages qu’en font les populations riveraines. L’étude bathymétrique a révélé une diminution moyenne de 0,116 m/an. Ce comblement s’explique par l’érosion, la dégradation du couvert végétal et le surpâturage. Les mesures directes de la qualité physique : le pH, la température et l’oxygène dissous ont permis d’évaluer le risque d’eutrophisation. Les eaux sont dans un état eutrophe.
Clément Outrequin, Anne Alexandre, Christine Vallet-Coulomb, Clément Piel, Sébastien Devidal, Amaelle Landais, Martine Couapel, Jean-Charles Mazur, Christophe Peugeot, Monique Pierre, Frédéric Prié, Jacques Roy, Corinne Sonzogni, and Claudia Voigt
Clim. Past, 17, 1881–1902, https://doi.org/10.5194/cp-17-1881-2021, https://doi.org/10.5194/cp-17-1881-2021, 2021
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Continental atmospheric humidity is a key climate parameter poorly captured by global climate models. Model–data comparison approaches that are applicable beyond the instrumental period are essential to progress on this issue but face a lack of quantitative relative humidity proxies. Here, we calibrate the triple oxygen isotope composition of phytoliths as a new quantitative proxy of continental relative humidity suitable for past climate reconstructions.
Louise Mimeau, Yves Tramblay, Luca Brocca, Christian Massari, Stefania Camici, and Pascal Finaud-Guyot
Hydrol. Earth Syst. Sci., 25, 653–669, https://doi.org/10.5194/hess-25-653-2021, https://doi.org/10.5194/hess-25-653-2021, 2021
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Soil moisture is a key variable related to droughts and flood genesis, but little is known about the evolution of soil moisture under climate change. Here, using a simulation approach, we show that changes in soil moisture are driven by changes in precipitation intermittence rather than changes in precipitation intensity or in temperature.
El Mahdi El Khalki, Yves Tramblay, Christian Massari, Luca Brocca, Vincent Simonneaux, Simon Gascoin, and Mohamed El Mehdi Saidi
Nat. Hazards Earth Syst. Sci., 20, 2591–2607, https://doi.org/10.5194/nhess-20-2591-2020, https://doi.org/10.5194/nhess-20-2591-2020, 2020
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In North Africa, the vulnerability to floods is high, and there is a need to improve the flood-forecasting systems. Remote-sensing and reanalysis data can palliate the lack of in situ measurements, in particular for soil moisture, which is a crucial parameter to consider when modeling floods. In this study we provide an evaluation of recent globally available soil moisture products for flood modeling in Morocco.
Fatima Hara, Mohammed Achab, Anas Emran, and Gil Mahe
Proc. IAHS, 383, 159–162, https://doi.org/10.5194/piahs-383-159-2020, https://doi.org/10.5194/piahs-383-159-2020, 2020
Ali Hadour, Gil Mahé, and Mohamed Meddi
Proc. IAHS, 383, 61–68, https://doi.org/10.5194/piahs-383-61-2020, https://doi.org/10.5194/piahs-383-61-2020, 2020
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The downward of rainfall trend occurred in the study area in 1972, affecting a few coastal stations. In 1976, this decline extended to the South West and throughout the coastal region. In 1980, the drop covered the entire basin. This decline has resulted in an estimated deficit of 30 % on average in the eastern region, the coastal region and the Mina. However, the central part of the basin experienced a 20 % decrease compared to the period before the break (1968–1980).
Domiho Japhet Kodja, Arsène J. Sègla Akognongbé, Ernest Amoussou, Gil Mahé, E. Wilfrid Vissin, Jean-Emmanuel Paturel, and Constant Houndénou
Proc. IAHS, 383, 163–169, https://doi.org/10.5194/piahs-383-163-2020, https://doi.org/10.5194/piahs-383-163-2020, 2020
Zhongbo Yu, Chunhui Lu, Jianyuan Cai, Dazheng Yu, Gil Mahe, Anil Mishra, Christophe Cudennec, Henny A. J. Van Lanen, Didier Orange, and Abou Amani
Proc. IAHS, 383, 3–4, https://doi.org/10.5194/piahs-383-3-2020, https://doi.org/10.5194/piahs-383-3-2020, 2020
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The 8th Global FRIEND conference highlighted the advance in hydrological science and innovation in water management. 52 accepted papers cover study areas in precipitation and climate impact; observation, analysis and simulations of hydrologic processes; floods in the changing environments; drought monitoring and analysis; water resources and environmental impacts. The outcome of the conference presented in the proceedings will be shared and discussed widely among UNESCO IHP networks.
Yves Tramblay, Louise Mimeau, Luc Neppel, Freddy Vinet, and Eric Sauquet
Hydrol. Earth Syst. Sci., 23, 4419–4431, https://doi.org/10.5194/hess-23-4419-2019, https://doi.org/10.5194/hess-23-4419-2019, 2019
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In the present study the flood trends have been assessed for a large sample of 171 basins located in southern France, which has a Mediterranean climate. Results show that, despite the increase in rainfall intensity previously observed in this area, there is no general increase in flood magnitude. Instead, a reduction in the annual number of floods is found, linked to a decrease in soil moisture caused by the increase in temperature observed in recent decades.
Pauline Rivoire, Yves Tramblay, Luc Neppel, Elke Hertig, and Sergio M. Vicente-Serrano
Nat. Hazards Earth Syst. Sci., 19, 1629–1638, https://doi.org/10.5194/nhess-19-1629-2019, https://doi.org/10.5194/nhess-19-1629-2019, 2019
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In order to define a dry period, a threshold for wet days is usually considered to account for measurement errors and evaporation. In the present study, we compare the threshold of 1 mm d−1, the most commonly used threshold, to a time-varying threshold describing evapotranspiration to compare how the risk of extreme dry spells is estimated with both thresholds. Results indicate that considering a fixed threshold can underestimate extreme dry spells during the extended summer.
Basile Hector, Jean-Martial Cohard, Luc Séguis, Sylvie Galle, and Christophe Peugeot
Hydrol. Earth Syst. Sci., 22, 5867–5888, https://doi.org/10.5194/hess-22-5867-2018, https://doi.org/10.5194/hess-22-5867-2018, 2018
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The hydrological functioning of western African headwater wetlands remains poorly understood, despite their potential for small-scale farming and their role in streamflow production. We found that land cover changes significantly affect water budgets, and pedo-geological features control dry season baseflow. These are the results of virtual experiments with a physically based critical zone model evaluated against streamflow, evapotranspiration, soil moisture, water table and water storage data.
Youssouph Sane, Geremy Panthou, Ansoumana Bodian, Theo Vischel, Thierry Lebel, Honore Dacosta, Guillaume Quantin, Catherine Wilcox, Ousmane Ndiaye, Aida Diongue-Niang, and Mariane Diop Kane
Nat. Hazards Earth Syst. Sci., 18, 1849–1866, https://doi.org/10.5194/nhess-18-1849-2018, https://doi.org/10.5194/nhess-18-1849-2018, 2018
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Urbanization, resulting from a sharply increasing demographic pressure and the development of infrastructure, has made the population of many tropical areas more vulnerable to extreme rainfall hazards. Characterizing extreme rainfall distribution is thus becoming an overarching need in hydrological applications. Using 14 tipping-bucket rain-gauge series, this study provides IDF curves and uncertainties over Senegal. Climate change requires warning end-users that they should be used with care.
Martin Tshikeba Kabantu, Raphael Muamba Tshimanga, Jean Marie Onema Kileshye, Webster Gumindoga, and Jules Tshimpampa Beya
Proc. IAHS, 378, 51–57, https://doi.org/10.5194/piahs-378-51-2018, https://doi.org/10.5194/piahs-378-51-2018, 2018
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This study was done in order to promote the use of remote sensing products when dealing water resources in the Congo river basin. It is the first step of a large research on the evaluation of the performance of remote sensing products on water resources modeling in the Congo river basin.
Nadia Oosthuizen, Denis A. Hughes, Evison Kapangaziwiri, Jean-Marc Mwenge Kahinda, and Vuyelwa Mvandaba
Proc. IAHS, 378, 11–16, https://doi.org/10.5194/piahs-378-11-2018, https://doi.org/10.5194/piahs-378-11-2018, 2018
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Input data (and model parameters) are significant sources of uncertainty that should be quantified. In southern Africa, water use data are among the most unreliable sources of model input data because available databases generally consist of only licensed information and actual use is generally unknown. The study assesses how uncertainty impacts the estimation of surface water resources of the Mogalakwena and Shashe sub-basins when using the databases that are currently available.
Vuyelwa Mvandaba, Denis Hughes, Evison Kapangaziwiri, Jean-Marc Mwenge Kahinda, and Nadia Oosthuizen
Proc. IAHS, 378, 17–22, https://doi.org/10.5194/piahs-378-17-2018, https://doi.org/10.5194/piahs-378-17-2018, 2018
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Channel transmission losses play a significant role in the water balance of the Limpopo River Basin, therefore understanding loss processes and quantifying the impact on water resources is integral for advancing knowledge and improving water resource management. Using three functions of the Pitman Model, loss simulations were conducted and results indicate that all three functions are able to simulate losses,albeit with differing magnitudes. Better quantification requires reliable observed data.
David Gwapedza, Andrew Slaughter, Denis Hughes, and Sukhmani Mantel
Proc. IAHS, 377, 19–24, https://doi.org/10.5194/piahs-377-19-2018, https://doi.org/10.5194/piahs-377-19-2018, 2018
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The paper investigates the use of GIS to come up with model parameters. This is part of a process of simplifying model use. The findings show that existing GIS data can be used for estimating model parameters as the outcomes of the research show that model outputs are consistent with previously estimated measures. This research is part of a development of a model which can estimate soil loss and sediment delivery at broad spatial and temporal scales to improve catchment management.
Thouraya Benmoussa, Oula Amrouni, Laurent Dezileau, Gil Mahé, and Saâdi Abdeljaouad
Proc. IAHS, 377, 77–81, https://doi.org/10.5194/piahs-377-77-2018, https://doi.org/10.5194/piahs-377-77-2018, 2018
Ernest Amoussou, Henri S. Totin Vodounon, Expédit W. Vissin, Gil Mahé, and Marc Lucien Oyédé
Proc. IAHS, 377, 91–96, https://doi.org/10.5194/piahs-377-91-2018, https://doi.org/10.5194/piahs-377-91-2018, 2018
Fatma Kotti, Laurent Dezileau, Gil Mahé, Hamadi Habaieb, Malik Bentkaya, Claudine Dieulin, and Oula Amrouni
Proc. IAHS, 377, 67–76, https://doi.org/10.5194/piahs-377-67-2018, https://doi.org/10.5194/piahs-377-67-2018, 2018
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This study was designed to prove that the coastal changes of the Gulf of Tunis are mainly driven by the changes of the hydrological regime of the Medjerda river due to dams. We sampled cores of sediments in the low valley just before the sea, and analyzed them. They show the dramatic reduction of sediment supply after 1981, date of construction of the largest dam of Sidi Salem, and the disappearance of sand in the fluvial sediments.
Gil Mahe, Kate Heal, Akhilendra B. Gupta, and Hafzullah Aksoy
Proc. IAHS, 377, 1–1, https://doi.org/10.5194/piahs-377-1-2018, https://doi.org/10.5194/piahs-377-1-2018, 2018
Delphine J. Leroux, Thierry Pellarin, Théo Vischel, Jean-Martial Cohard, Tania Gascon, François Gibon, Arnaud Mialon, Sylvie Galle, Christophe Peugeot, and Luc Seguis
Hydrol. Earth Syst. Sci., 20, 2827–2840, https://doi.org/10.5194/hess-20-2827-2016, https://doi.org/10.5194/hess-20-2827-2016, 2016
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Water is one of the most valuable resources and has an undeniable influence on every aspect of life. Being a very good indicator of the water cycle, the soil water content can be monitored by satellites from space. The region studied here is located in Benin, West Africa, where people have to face major water-related risks every year during the monsoon season. By adjusting the model simulations with satellite observations, river discharge and water table levels have greatly been improved.
Kenza Khomsi, Gil Mahe, Yves Tramblay, Mohamed Sinan, and Maria Snoussi
Nat. Hazards Earth Syst. Sci., 16, 1079–1090, https://doi.org/10.5194/nhess-16-1079-2016, https://doi.org/10.5194/nhess-16-1079-2016, 2016
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The study investigates trends in mean and extreme rainfall, run-off, temperature and their relationship with large-scale atmospheric circulation. It focuses on two Moroccan watersheds; Bouregreg and Tensift, using data from 1977 to 2003. Results do not show a homogeneous behaviour in the catchments; the influence of the large-scale atmospheric circulation is different and a clear spatial dependence of the trend analysis is linked to the distance from the coast and the mountains.
Demetris Koutsoyiannis, Günter Blöschl, András Bárdossy, Christophe Cudennec, Denis Hughes, Alberto Montanari, Insa Neuweiler, and Hubert Savenije
Hydrol. Earth Syst. Sci., 20, 1081–1084, https://doi.org/10.5194/hess-20-1081-2016, https://doi.org/10.5194/hess-20-1081-2016, 2016
D. A. Hughes
Proc. IAHS, 371, 23–28, https://doi.org/10.5194/piahs-371-23-2015, https://doi.org/10.5194/piahs-371-23-2015, 2015
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Flow regimes of rivers will be different in the future, but how different is uncertain. Water resources decisions will rely on practical simulation tools that are sensitive to changes, can assimilate change information and flexible enough to accommodate new understanding. This paper presents some tools that can address these issues in southern Africa. Appropriate tools are available but we need more reliable forcing and model validation data and methods for making decisions with uncertain data.
J. Fabre, D. Ruelland, A. Dezetter, and B. Grouillet
Proc. IAHS, 371, 43–48, https://doi.org/10.5194/piahs-371-43-2015, https://doi.org/10.5194/piahs-371-43-2015, 2015
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Socio-economic and hydroclimatic data were integrated in a modeling framework to simulate water resources and demand. We successfully modeled water stress changes in space and time in two basins over the past 40 years, and explained changes in discharge by separating human and hydroclimatic trends. The framework was then applied under 4 combinations of climate and water use scenarios at the 2050 horizon. Results showed that projected water uses are not sustainable under climate change scenarios.
F. Raynaud, V. Borrell-Estupina, S. Pistre, S. Van-Exter, N. Bourgeois, A. Dezetter, and E. Servat
Proc. IAHS, 369, 55–60, https://doi.org/10.5194/piahs-369-55-2015, https://doi.org/10.5194/piahs-369-55-2015, 2015
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During a flood event over a karst watershed, the karst may attenuate surface floods by absorbing water or contribute to the surface flood by direct contribution of karst waters in the rivers and by diffuse resurgence along the hillslopes. If it is possible to monitor each known outlet of a karst system, the diffuse contribution is yet difficult to assess. We present here a new, original method to do it, based on chemical analysis and a hydraulic study.
S. Taibi, M. Meddi, and G. Mahé
Proc. IAHS, 369, 175–180, https://doi.org/10.5194/piahs-369-175-2015, https://doi.org/10.5194/piahs-369-175-2015, 2015
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Cette étude vise à analyser les tendances des pluies extrêmes dans un bassin semi-aride du Nord de l’Algérie et leur relation avec les types de circulation atmosphérique. Les pluies totales et l’intensité journalière ont connu une baisse significative durant la période 1971-2010 montre des tandis que leur fréquence ne montre pas de changement significatif.
L’oscillation méditerranéenne est le type de circulation qui influence la variabilité des pluies extrêmes du bassin du Chéliff
P. Hublart, D. Ruelland, A. Dezetter, and H. Jourde
Hydrol. Earth Syst. Sci., 19, 2295–2314, https://doi.org/10.5194/hess-19-2295-2015, https://doi.org/10.5194/hess-19-2295-2015, 2015
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This study aimed at reducing structural uncertainty in the conceptual modelling of a semi-arid Andean catchment. A multiple-hypothesis framework was combined with a multi-criteria assessment scheme to characterize both model non-uniqueness and model inadequacy. This led to retaining eight model structures as a representation of the minimum structural uncertainty that could be obtained with this modelling framework.
J. Fabre, D. Ruelland, A. Dezetter, and B. Grouillet
Hydrol. Earth Syst. Sci., 19, 1263–1285, https://doi.org/10.5194/hess-19-1263-2015, https://doi.org/10.5194/hess-19-1263-2015, 2015
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Socioeconomic and hydro-climatic data were used to model water resources, water demand and their interactions in two river basins. By using an integrative framework we successfully modeled variations in water stress over the past 40 years, accounting for climate and human pressures and changes in water management strategies over time. We explained past changes in discharge by separating human and hydro-climatic trends. This work will help assess future water stress and design adaptation plans.
F. Lohou, L. Kergoat, F. Guichard, A. Boone, B. Cappelaere, J.-M. Cohard, J. Demarty, S. Galle, M. Grippa, C. Peugeot, D. Ramier, C. M. Taylor, and F. Timouk
Atmos. Chem. Phys., 14, 3883–3898, https://doi.org/10.5194/acp-14-3883-2014, https://doi.org/10.5194/acp-14-3883-2014, 2014
O. Mamadou, J. M. Cohard, S. Galle, C. N. Awanou, A. Diedhiou, B. Kounouhewa, and C. Peugeot
Hydrol. Earth Syst. Sci., 18, 893–914, https://doi.org/10.5194/hess-18-893-2014, https://doi.org/10.5194/hess-18-893-2014, 2014
A. Richard, S. Galle, M. Descloitres, J.-M. Cohard, J.-P. Vandervaere, L. Séguis, and C. Peugeot
Hydrol. Earth Syst. Sci., 17, 5079–5096, https://doi.org/10.5194/hess-17-5079-2013, https://doi.org/10.5194/hess-17-5079-2013, 2013
Y. Tramblay, S. El Adlouni, and E. Servat
Nat. Hazards Earth Syst. Sci., 13, 3235–3248, https://doi.org/10.5194/nhess-13-3235-2013, https://doi.org/10.5194/nhess-13-3235-2013, 2013
Y. Tramblay, D. Ruelland, S. Somot, R. Bouaicha, and E. Servat
Hydrol. Earth Syst. Sci., 17, 3721–3739, https://doi.org/10.5194/hess-17-3721-2013, https://doi.org/10.5194/hess-17-3721-2013, 2013
Related subject area
Hydrology
Mapping the world's inland surface waters: an upgrade to the Global Lakes and Wetlands Database (GLWD v2)
One year of high-frequency monitoring of groundwater physico-chemical parameters in the Weierbach experimental catchment, Luxembourg
Discrete global grid system-based flow routing datasets in the Amazon and Yukon basins
GRILSS: opening the gateway to global reservoir sedimentation data curation
A worldwide event-based debris flow barrier dam dataset from 1800 to 2023
CAMELS-DK: hydrometeorological time series and landscape attributes for 3330 Danish catchments with streamflow observations from 304 gauged stations
An in situ daily dataset for benchmarking temporal variability of groundwater recharge
CAMELS-FR dataset: a large-sample hydroclimatic dataset for France to explore hydrological diversity and support model benchmarking
Features of Italian large dams and their upstream catchments
Gridded rainfall erosivity (2014–2022) in mainland China using 1 min precipitation data from densely distributed weather stations
OLIGOTREND, towards a global database of multi-decadal chlorophyll-a and water quality timeseries for rivers, lakes and estuaries
High-resolution hydrometeorological and snow data for the Dischma catchment in Switzerland
A 3-hour, 1-km surface soil moisture dataset for the contiguous United States from 2015 to 2023
CAMELS-IND: hydrometeorological time series and catchment attributes for 228 catchments in Peninsular India
LakeBeD-US: a benchmark dataset for lake water quality time series and vertical profiles
HERA: a high-resolution pan-European hydrological reanalysis (1951–2020)
BCUB – a large-sample ungauged basin attribute dataset for British Columbia, Canada
Comprehensive inventory of large hydropower systems in the Italian Alpine Region
Northern Hemisphere in situ snow water equivalent dataset (NorSWE, 1979–2021)
ESA CCI Soil Moisture GAPFILLED: An independent global gap-free satellite climate data record with uncertainty estimates
Lena River biogeochemistry captured by a 4.5-year high-frequency sampling program
CAMELS-DE: hydro-meteorological time series and attributes for 1582 catchments in Germany
Observational partitioning of water and CO2 fluxes at National Ecological Observatory Network (NEON) sites: a 5-year dataset of soil and plant components for spatial and temporal analysis
An integrated high-resolution bathymetric model for the Danube Delta system
A benchmark dataset for global evapotranspiration estimation based on FLUXNET2015 from 2000 to 2022
Benchmark dataset for hydraulic simulations of flash floods in the French Mediterranean region
CIrrMap250: annual maps of China's irrigated cropland from 2000 to 2020 developed through multisource data integration
HANZE v2.1: an improved database of flood impacts in Europe from 1870 to 2020
A Copernicus-based evapotranspiration dataset at 100 m spatial resolution over four Mediterranean basins
Gridded dataset of nitrogen and phosphorus point sources from wastewater in Germany (1950–2019)
A 1985–2023 time series dataset of absolute reservoir storage in Mainland Southeast Asia (MSEA-Res)
A globally sampled high-resolution hand-labeled validation dataset for evaluating surface water extent maps
Satellite-based near-real-time global daily terrestrial evapotranspiration estimates
Multivariate characterisation of a blackberry–alder agroforestry system in South Africa: hydrological, pedological, dendrological and meteorological measurements
CAMELS-AUS v2: updated hydrometeorological timeseries and landscape attributes for an enlarged set of catchments in Australia
SHIFT: a spatial-heterogeneity improvement in DEM-based mapping of global geomorphic floodplains
First comprehensive stable isotope dataset of diverse water units in a permafrost-dominated catchment on the Qinghai–Tibet Plateau
LamaH-Ice: LArge-SaMple DAta for Hydrology and Environmental Sciences for Iceland
High-resolution mapping of monthly industrial water withdrawal in China from 1965 to 2020
Optimal feature selection for improved ML based reconstruction of Global Terrestrial Water Storage Anomalies
Evapotranspiration evaluation using three different protocols on a large green roof in the greater Paris area
Simbi: historical hydro-meteorological time series and signatures for 24 catchments in Haiti
CAMELE: Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration Data
A hydrogeomorphic dataset for characterizing catchment hydrological behavior across the Tibetan Plateau
Deriving a Transformation Rate Map of Dissolved Organic Carbon over the Contiguous U.S.
A synthesis of Global Streamflow Characteristics, Hydrometeorology, and Catchment Attributes (GSHA) for large sample river-centric studies
FOCA: a new quality-controlled database of floods and catchment descriptors in Italy
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A global dataset of the shape of drainage systems
An extensive spatiotemporal water quality dataset covering four decades (1980–2022) in China
Bernhard Lehner, Mira Anand, Etienne Fluet-Chouinard, Florence Tan, Filipe Aires, George H. Allen, Philippe Bousquet, Josep G. Canadell, Nick Davidson, Meng Ding, C. Max Finlayson, Thomas Gumbricht, Lammert Hilarides, Gustaf Hugelius, Robert B. Jackson, Maartje C. Korver, Liangyun Liu, Peter B. McIntyre, Szabolcs Nagy, David Olefeldt, Tamlin M. Pavelsky, Jean-Francois Pekel, Benjamin Poulter, Catherine Prigent, Jida Wang, Thomas A. Worthington, Dai Yamazaki, Xiao Zhang, and Michele Thieme
Earth Syst. Sci. Data, 17, 2277–2329, https://doi.org/10.5194/essd-17-2277-2025, https://doi.org/10.5194/essd-17-2277-2025, 2025
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The Global Lakes and Wetlands Database (GLWD) version 2 distinguishes a total of 33 non-overlapping wetland classes, providing a static map of the world’s inland surface waters. It contains cell fractions of wetland extents per class at a grid cell resolution of ~500 m. The total combined extent of all classes including all inland and coastal waterbodies and wetlands of all inundation frequencies – that is, the maximum extent – covers 18.2 × 106 km2, equivalent to 13.4 % of total global land area.
Karl Nicolaus van Zweel, Laurent Gourdol, Jean François Iffly, Loïc Léonard, François Barnich, Laurent Pfister, Erwin Zehe, and Christophe Hissler
Earth Syst. Sci. Data, 17, 2217–2229, https://doi.org/10.5194/essd-17-2217-2025, https://doi.org/10.5194/essd-17-2217-2025, 2025
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Our study monitored groundwater in a Luxembourg forest over a year to understand water and chemical changes. We found seasonal variations in water chemistry, influenced by rainfall and soil interactions. These data help predict environmental responses and manage water resources better. By measuring key parameters like pH and dissolved oxygen, our research provides valuable insights into groundwater behaviour and serves as a resource for future environmental studies.
Chang Liao, Darren Engwirda, Matthew G. Cooper, Mingke Li, and Yilin Fang
Earth Syst. Sci. Data, 17, 2035–2062, https://doi.org/10.5194/essd-17-2035-2025, https://doi.org/10.5194/essd-17-2035-2025, 2025
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Discrete global grid systems, or DGGS, are digital frameworks that help us organize information about our planet. Although scientists have used DGGS in areas like weather and nature, using them in the water cycle has been challenging because some core datasets are missing. We created a way to generate these datasets. We then developed the datasets in the Amazon and Yukon basins, which play important roles in our planet's climate. These datasets may help us improve our water cycle models.
Sanchit Minocha and Faisal Hossain
Earth Syst. Sci. Data, 17, 1743–1759, https://doi.org/10.5194/essd-17-1743-2025, https://doi.org/10.5194/essd-17-1743-2025, 2025
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Trustworthy and independently verifiable information on declining storage capacity or sedimentation rates worldwide is sparse and suffers from inconsistent metadata and curation to allow global-scale archiving and analyses. The Global Reservoir Inventory of Lost Storage by Sedimentation (GRILSS) dataset addresses this challenge by providing organized, well-curated, and open-source data on sedimentation rates and capacity loss for 1013 reservoirs in 75 major river basins across 54 countries.
Haiguang Cheng, Kaiheng Hu, Shuang Liu, Xiaopeng Zhang, Hao Li, Qiyuan Zhang, Lan Ning, Manish Raj Gouli, Pu Li, Anna Yang, Peng Zhao, Junyu Liu, and Li Wei
Earth Syst. Sci. Data, 17, 1573–1593, https://doi.org/10.5194/essd-17-1573-2025, https://doi.org/10.5194/essd-17-1573-2025, 2025
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After reviewing 2519 literature and media reports, we compiled the first comprehensive global dataset of 555 debris flow barrier dams (DFBDs) from 1800 to 2023. Our dataset meticulously documents 38 attributes of DFBDs, and we have utilized Google Earth for validation. Additionally, we discussed the applicability of landslide dam stability and peak-discharge models to DFBDs. This dataset offers a rich foundation of data for future studies on DFBDs.
Jun Liu, Julian Koch, Simon Stisen, Lars Troldborg, Anker Lajer Højberg, Hans Thodsen, Mark F. T. Hansen, and Raphael J. M. Schneider
Earth Syst. Sci. Data, 17, 1551–1572, https://doi.org/10.5194/essd-17-1551-2025, https://doi.org/10.5194/essd-17-1551-2025, 2025
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We developed a CAMELS-style dataset in Denmark, which contains hydrometeorological time series and landscape attributes for 3330 catchments (304 gauged). Many catchments in CAMELS-DK are small and at low elevations. The dataset provides information on groundwater characteristics and dynamics, as well as quantities related to the human impact on the hydrological system in Denmark. The dataset is especially relevant for developing data-driven and hybrid physically informed modeling frameworks.
Pragnaditya Malakar, Aatish Anshuman, Mukesh Kumar, Georgios Boumis, T. Prabhakar Clement, Arik Tashie, Hitesh Thakur, Nagaraj Bhat, and Lokendra Rathore
Earth Syst. Sci. Data, 17, 1515–1528, https://doi.org/10.5194/essd-17-1515-2025, https://doi.org/10.5194/essd-17-1515-2025, 2025
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Groundwater dynamics depend on groundwater recharge, but daily benchmark data of recharge are scarce. Here we present a daily groundwater recharge per unit specified yield (RpSy) data at 485 US groundwater monitoring wells. RpSy can be used to validate the temporal consistency of recharge products from land surface and hydrologic models and facilitate assessment of recharge-driver functional relationships in them.
Olivier Delaigue, Guilherme Mendoza Guimarães, Pierre Brigode, Benoît Génot, Charles Perrin, Jean-Michel Soubeyroux, Bruno Janet, Nans Addor, and Vazken Andréassian
Earth Syst. Sci. Data, 17, 1461–1479, https://doi.org/10.5194/essd-17-1461-2025, https://doi.org/10.5194/essd-17-1461-2025, 2025
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This dataset covers 654 rivers all flowing in France. The provided time series and catchment attributes will be of interest to those modelers wishing to analyze hydrological behavior and perform model assessments.
Giulia Evangelista, Paola Mazzoglio, Daniele Ganora, Francesca Pianigiani, and Pierluigi Claps
Earth Syst. Sci. Data, 17, 1407–1426, https://doi.org/10.5194/essd-17-1407-2025, https://doi.org/10.5194/essd-17-1407-2025, 2025
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This paper presents the first comprehensive dataset of 528 large dams in Italy. It contains structural characteristics of the dams, such as coordinates, reservoir surface areas and volumes, together with a range of geomorphological, climatological, extreme rainfall, land cover and soil-related attributes of their upstream catchments.
Yueli Chen, Yun Xie, Xingwu Duan, and Minghu Ding
Earth Syst. Sci. Data, 17, 1265–1274, https://doi.org/10.5194/essd-17-1265-2025, https://doi.org/10.5194/essd-17-1265-2025, 2025
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Rainfall erosivity maps are crucial for identifying key areas of water erosion. Due to the limited historical precipitation data, there are certain biases in rainfall erosivity estimates in China. This study develops a new rainfall erosivity map for mainland China using 1 min precipitation data from 60 129 weather stations, revealing that areas exceeding 4000 MJ mm ha−1 h−1yr−1 of annual rainfall erosivity are mainly concentrated in southern China and on the southern Tibetan Plateau.
Camille Minaudo, Andras Abonyi, Carles Alcaraz, Jacob Diamond, Nicholas J. K. Howden, Michael Rode, Estela Romero, Vincent Thieu, Fred Worrall, Qian Zhang, and Xavier Benito
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-58, https://doi.org/10.5194/essd-2025-58, 2025
Revised manuscript accepted for ESSD
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Many waterbodies undergo nutrient decline globally, called oligotrophication, but a comprehensive dataset to understand ecosystem responses is lacking. The OLIGOTREND database comprises multi-decadal chlorophyll-a and nutrient timeseries from rivers, lakes, and estuaries with 4.3 million observations from 1,894 unique measurement locations. The database provides empirical evidence for oligotrophication responses with a spatial and temporal coverage exceeding previous efforts.
Jan Magnusson, Yves Bühler, Louis Quéno, Bertrand Cluzet, Giulia Mazzotti, Clare Webster, Rebecca Mott, and Tobias Jonas
Earth Syst. Sci. Data, 17, 703–717, https://doi.org/10.5194/essd-17-703-2025, https://doi.org/10.5194/essd-17-703-2025, 2025
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In this study, we present a dataset for the Dischma catchment in eastern Switzerland, which represents a typical high-alpine watershed in the European Alps. Accurate monitoring and reliable forecasting of snow and water resources in such basins are crucial for a wide range of applications. Our dataset is valuable for improving physics-based snow, land surface, and hydrological models, with potential applications in similar high-alpine catchments.
Haoxuan Yang, Jia Yang, Tyson E. Ochsner, Erik S. Krueger, Mengyuan Xu, and Chris B. Zou
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-55, https://doi.org/10.5194/essd-2025-55, 2025
Revised manuscript accepted for ESSD
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We developed a 3-hour, 1-km surface soil moisture dataset for the contiguous United States from 2015 to 2023 using the spatio-temporal fusion method. This dataset effectively combines the distinct advantages of two long-term SSM datasets, which is also the first hour-level 1-km soil moisture dataset at the continental US scale. The new dataset could provide new insight into the fast changes in soil moisture along with drought and wet spell occurrences.
Nikunj K. Mangukiya, Kanneganti Bhargav Kumar, Pankaj Dey, Shailza Sharma, Vijaykumar Bejagam, Pradeep P. Mujumdar, and Ashutosh Sharma
Earth Syst. Sci. Data, 17, 461–491, https://doi.org/10.5194/essd-17-461-2025, https://doi.org/10.5194/essd-17-461-2025, 2025
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We introduce CAMELS-IND (Catchment Attributes and MEteorology for Large-sample Studies – India), which provides daily hydrometeorological time series and static catchment attributes representing the location, topography, climate, hydrological signatures, land use, land cover, soil, geology, and anthropogenic influences for 472 catchments in Peninsular India to foster large-sample hydrological studies in India and promote the inclusion of Indian catchments in global hydrological research.
Bennett J. McAfee, Aanish Pradhan, Abhilash Neog, Sepideh Fatemi, Robert T. Hensley, Mary E. Lofton, Anuj Karpatne, Cayelan C. Carey, and Paul C. Hanson
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-27, https://doi.org/10.5194/essd-2025-27, 2025
Revised manuscript accepted for ESSD
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LakeBeD-US is a dataset of lake water quality data collected by multiple long-term monitoring programs around the United States. This dataset is designed to foster collaboration between lake scientists and computer scientists to improve predictions of water quality. By offering a way for computer models to be tested against real-world lake data, LakeBeD-US offers opportunities for both sciences to grow and to give new insights into the causes of water quality changes.
Aloïs Tilloy, Dominik Paprotny, Stefania Grimaldi, Goncalo Gomes, Alessandra Bianchi, Stefan Lange, Hylke Beck, Cinzia Mazzetti, and Luc Feyen
Earth Syst. Sci. Data, 17, 293–316, https://doi.org/10.5194/essd-17-293-2025, https://doi.org/10.5194/essd-17-293-2025, 2025
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This article presents a reanalysis of Europe's river streamflow for the period 1951–2020. Streamflow is estimated through a state-of-the-art hydrological simulation framework benefitting from detailed information about the landscape, climate, and human activities. The resulting Hydrological European ReAnalysis (HERA) can be a valuable tool for studying hydrological dynamics, including the impacts of climate change and human activities on European water resources and flood and drought risks.
Daniel Kovacek and Steven Weijs
Earth Syst. Sci. Data, 17, 259–275, https://doi.org/10.5194/essd-17-259-2025, https://doi.org/10.5194/essd-17-259-2025, 2025
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We made a dataset for British Columbia describing the terrain, soil, land cover, and climate of over 1 million watersheds. The attributes are often used in hydrology because they are related to the water cycle. The data are meant to be used for water resources problems that can benefit from lots of watersheds and their attributes. The data and instructions needed to build the dataset from scratch are freely available. The permanent home for the data is https://doi.org/10.5683/SP3/JNKZVT.
Andrea Galletti, Soroush Zarghami Dastjerdi, and Bruno Majone
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-521, https://doi.org/10.5194/essd-2024-521, 2025
Revised manuscript accepted for ESSD
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We propose IAR-HP, a detailed inventory of large hydropower systems in Italy's Alpine Region, aimed at improving hydrological modeling for climate impact studies by providing the most relevant information with a consistent level of detail. It includes structural, geographical, and operational data for over 300 hydropower plants and their related reservoirs and water intakes. Validated through modeling, IAR-HP accurately reproduces observed hydropower, capturing 96.2 % of actual production.
Colleen Mortimer and Vincent Vionnet
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-602, https://doi.org/10.5194/essd-2024-602, 2025
Revised manuscript accepted for ESSD
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In situ observations of snow water equivalent (SWE) are critical for climate applications and resource management. NorSWE is a dataset of in situ SWE observations covering North America, Finland and Russia over the period 1979–2021. It includes >11 million observations from >10 thousand different locations compiled from nine different sources. Snow depth and derived bulk snow density are included when available.
Wolfgang Preimesberger, Pietro Stradiotti, and Wouter Dorigo
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-610, https://doi.org/10.5194/essd-2024-610, 2025
Revised manuscript accepted for ESSD
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We introduce the official ESA CCI Soil Moisture GAPFILLED climate data record. A univariate interpolation algorithm is applied to predict missing data points without relying on ancillary variables. The dataset includes gap-free uncertainty estimates for all predictions and was validated with independent in situ reference measurements. The data are recommended for applications, which require global long-term gap-free satellite soil moisture data.
Bennet Juhls, Anne Morgenstern, Jens Hölemann, Antje Eulenburg, Birgit Heim, Frederieke Miesner, Hendrik Grotheer, Gesine Mollenhauer, Hanno Meyer, Ephraim Erkens, Felica Yara Gehde, Sofia Antonova, Sergey Chalov, Maria Tereshina, Oxana Erina, Evgeniya Fingert, Ekaterina Abramova, Tina Sanders, Liudmila Lebedeva, Nikolai Torgovkin, Georgii Maksimov, Vasily Povazhnyi, Rafael Gonçalves-Araujo, Urban Wünsch, Antonina Chetverova, Sophie Opfergelt, and Pier Paul Overduin
Earth Syst. Sci. Data, 17, 1–28, https://doi.org/10.5194/essd-17-1-2025, https://doi.org/10.5194/essd-17-1-2025, 2025
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The Siberian Arctic is warming fast: permafrost is thawing, river chemistry is changing, and coastal ecosystems are affected. We aimed to understand changes in the Lena River, a major Arctic river flowing to the Arctic Ocean, by collecting 4.5 years of detailed water data, including temperature and carbon and nutrient contents. This dataset records current conditions and helps us to detect future changes. Explore it at https://doi.org/10.1594/PANGAEA.913197 and https://lena-monitoring.awi.de/.
Ralf Loritz, Alexander Dolich, Eduardo Acuña Espinoza, Pia Ebeling, Björn Guse, Jonas Götte, Sibylle K. Hassler, Corina Hauffe, Ingo Heidbüchel, Jens Kiesel, Mirko Mälicke, Hannes Müller-Thomy, Michael Stölzle, and Larisa Tarasova
Earth Syst. Sci. Data, 16, 5625–5642, https://doi.org/10.5194/essd-16-5625-2024, https://doi.org/10.5194/essd-16-5625-2024, 2024
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The CAMELS-DE dataset features data from 1582 streamflow gauges across Germany, with records spanning from 1951 to 2020. This comprehensive dataset, which includes time series of up to 70 years (median 46 years), enables advanced research on water flow and environmental trends and supports the development of hydrological models.
Einara Zahn and Elie Bou-Zeid
Earth Syst. Sci. Data, 16, 5603–5624, https://doi.org/10.5194/essd-16-5603-2024, https://doi.org/10.5194/essd-16-5603-2024, 2024
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Quantifying water and CO2 exchanges through transpiration, evaporation, net photosynthesis, and soil respiration is essential for understanding how ecosystems function. We implemented five methods to estimate these fluxes over a 5-year period across 47 sites. This is the first dataset representing such large spatial and temporal coverage of soil and plant exchanges, and it has many potential applications, such as examining the response of ecosystems to weather extremes and climate change.
Lauranne Alaerts, Jonathan Lambrechts, Ny Riana Randresihaja, Luc Vandenbulcke, Olivier Gourgue, Emmanuel Hanert, and Marilaure Grégoire
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-529, https://doi.org/10.5194/essd-2024-529, 2024
Revised manuscript accepted for ESSD
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We created the first comprehensive, high-resolution, and easily-accessible bathymetry dataset for the three main branches of the Danube Delta. By combining four data sources, we obtained a detailed representation of the riverbed, with resolutions ranging from 2 to 100 m. This dataset will support future studies on water and nutrient exchanges between the Danube and the Black Sea, and provide insights into the Delta’s buffer role within the understudied Danube-Black Sea continuum.
Wangyipu Li, Zhaoyuan Yao, Yifan Qu, Hanbo Yang, Yang Song, Lisheng Song, Lifeng Wu, and Yaokui Cui
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-460, https://doi.org/10.5194/essd-2024-460, 2024
Revised manuscript accepted for ESSD
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Due to shortcomings such as extensive data gaps and limited observation durations in current ground-based latent heat flux (LE) datasets, we developed a novel gap-filling and prolongation framework for ground-based LE observations, establishing a benchmark dataset for global evapotranspiration (ET) estimation from 2000 to 2022 across 64 sites at various time scales. This comprehensive dataset can strongly support ET modelling, water-carbon cycle monitoring, and long-term climate change analysis.
Juliette Godet, Pierre Nicolle, Nabil Hocini, Eric Gaume, Philippe Davy, Frederic Pons, Pierre Javelle, Pierre-André Garambois, Dimitri Lague, and Olivier Payrastre
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-472, https://doi.org/10.5194/essd-2024-472, 2024
Revised manuscript accepted for ESSD
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This paper describes a dataset that includes input, output, and validation data for the simulation of flash flood hazards and three specific flash flood events in the French Mediterranean region. This dataset is particularly valuable as flood mapping methods often lack sufficient benchmark data. Additionally, we demonstrate how the hydraulic method we used, named Floodos, produces highly satisfactory results.
Ling Zhang, Yanhua Xie, Xiufang Zhu, Qimin Ma, and Luca Brocca
Earth Syst. Sci. Data, 16, 5207–5226, https://doi.org/10.5194/essd-16-5207-2024, https://doi.org/10.5194/essd-16-5207-2024, 2024
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This study presented new annual maps of irrigated cropland in China from 2000 to 2020 (CIrrMap250). These maps were developed by integrating remote sensing data, irrigation statistics and surveys, and an irrigation suitability map. CIrrMap250 achieved high accuracy and outperformed currently available products. The new irrigation maps revealed a clear expansion of China’s irrigation area, with the majority (61%) occurring in the water-unsustainable regions facing severe to extreme water stress.
Dominik Paprotny, Paweł Terefenko, and Jakub Śledziowski
Earth Syst. Sci. Data, 16, 5145–5170, https://doi.org/10.5194/essd-16-5145-2024, https://doi.org/10.5194/essd-16-5145-2024, 2024
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Knowledge about past natural disasters can help adaptation to their future occurrences. Here, we present a dataset of 2521 riverine, pluvial, coastal, and compound floods that have occurred in 42 European countries between 1870 and 2020. The dataset contains available information on the inundated area, fatalities, persons affected, or economic loss and was obtained by extensive data collection from more than 800 sources ranging from news reports through government databases to scientific papers.
Paulina Bartkowiak, Bartolomeo Ventura, Alexander Jacob, and Mariapina Castelli
Earth Syst. Sci. Data, 16, 4709–4734, https://doi.org/10.5194/essd-16-4709-2024, https://doi.org/10.5194/essd-16-4709-2024, 2024
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This paper presents the Two-Source Energy Balance evapotranspiration (ET) product driven by Copernicus Sentinel-2 and Sentinel-3 imagery together with ERA5 climate reanalysis data. Daily ET maps are available at 100 m spatial resolution for the period 2017–2021 across four Mediterranean basins: Ebro (Spain), Hérault (France), Medjerda (Tunisia), and Po (Italy). The product is highly beneficial for supporting vegetation monitoring and sustainable water management at the river basin scale.
Fanny J. Sarrazin, Sabine Attinger, and Rohini Kumar
Earth Syst. Sci. Data, 16, 4673–4708, https://doi.org/10.5194/essd-16-4673-2024, https://doi.org/10.5194/essd-16-4673-2024, 2024
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Nitrogen (N) and phosphorus (P) contamination of water bodies is a long-term issue due to the long history of N and P inputs to the environment and their persistence. Here, we introduce a long-term and high-resolution dataset of N and P inputs from wastewater (point sources) for Germany, combining data from different sources and conceptual understanding. We also account for uncertainties in modelling choices, thus facilitating robust long-term and large-scale water quality studies.
Shanti Shwarup Mahto, Simone Fatichi, and Stefano Galelli
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-441, https://doi.org/10.5194/essd-2024-441, 2024
Revised manuscript accepted for ESSD
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The MSEA-Res database offers an open-access dataset tracking absolute water storage for 185 large reservoirs across Mainland Southeast Asia from 1985–2023. It provides valuable insights into how reservoir storage has grown by 130 % between 2008 and 2017, driven by dams in key river basins. Our data also reveal how droughts, like the 2019–2020 event, significantly impacted water reservoirs. This resource can aid water management, drought planning, and research globally.
Rohit Mukherjee, Frederick Policelli, Ruixue Wang, Elise Arellano-Thompson, Beth Tellman, Prashanti Sharma, Zhijie Zhang, and Jonathan Giezendanner
Earth Syst. Sci. Data, 16, 4311–4323, https://doi.org/10.5194/essd-16-4311-2024, https://doi.org/10.5194/essd-16-4311-2024, 2024
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Global water resource monitoring is crucial due to climate change and population growth. This study presents a hand-labeled dataset of 100 PlanetScope images for surface water detection, spanning diverse biomes. We use this dataset to evaluate two state-of-the-art mapping methods. Results highlight performance variations across biomes, emphasizing the need for diverse, independent validation datasets to enhance the accuracy and reliability of satellite-based surface water monitoring techniques.
Lei Huang, Yong Luo, Jing M. Chen, Qiuhong Tang, Tammo Steenhuis, Wei Cheng, and Wen Shi
Earth Syst. Sci. Data, 16, 3993–4019, https://doi.org/10.5194/essd-16-3993-2024, https://doi.org/10.5194/essd-16-3993-2024, 2024
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Timely global terrestrial evapotranspiration (ET) data are crucial for water resource management and drought forecasting. This study introduces the VISEA algorithm, which integrates satellite data and shortwave radiation to provide daily 0.05° gridded near-real-time ET estimates. By employing a vegetation index–temperature method, this algorithm can estimate ET without requiring additional data. Evaluation results demonstrate VISEA's comparable accuracy with accelerated data availability.
Sibylle Kathrin Hassler, Rafael Bohn Reckziegel, Ben du Toit, Svenja Hoffmeister, Florian Kestel, Anton Kunneke, Rebekka Maier, and Jonathan Paul Sheppard
Earth Syst. Sci. Data, 16, 3935–3948, https://doi.org/10.5194/essd-16-3935-2024, https://doi.org/10.5194/essd-16-3935-2024, 2024
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Agroforestry systems (AFSs) combine trees and crops within the same land unit, providing a sustainable land use option which protects natural resources and biodiversity. Introducing trees into agricultural systems can positively affect water resources, soil characteristics, biomass and microclimate. We studied an AFS in South Africa in a multidisciplinary approach to assess the different influences and present the resulting dataset consisting of water, soil, tree and meteorological variables.
Keirnan J. A. Fowler, Ziqi Zhang, and Xue Hou
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-263, https://doi.org/10.5194/essd-2024-263, 2024
Revised manuscript accepted for ESSD
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This paper presents Version 2 of the Australian edition of the Catchment Attributes and Meteorology for Large-sample Studies (CAMELS) series of datasets. CAMELS-AUS v2 comprises data for an increased number (561) of catchments, each with with long-term monitoring, combining hydrometeorological time series with attributes related to geology, soil, topography, land cover, anthropogenic influence and hydroclimatology. It is freely downloadable from https://zenodo.org/doi/10.5281/zenodo.12575680.
Kaihao Zheng, Peirong Lin, and Ziyun Yin
Earth Syst. Sci. Data, 16, 3873–3891, https://doi.org/10.5194/essd-16-3873-2024, https://doi.org/10.5194/essd-16-3873-2024, 2024
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We develop a globally applicable thresholding scheme for DEM-based floodplain delineation to improve the representation of spatial heterogeneity. It involves a stepwise approach to estimate the basin-level floodplain hydraulic geometry parameters that best respect the scaling law while approximating the global hydrodynamic flood maps. A ~90 m resolution global floodplain map, the Spatial Heterogeneity Improved Floodplain by Terrain analysis (SHIFT), is delineated with demonstrated superiority.
Yuzhong Yang, Qingbai Wu, Xiaoyan Guo, Lu Zhou, Helin Yao, Dandan Zhang, Zhongqiong Zhang, Ji Chen, and Guojun Liu
Earth Syst. Sci. Data, 16, 3755–3770, https://doi.org/10.5194/essd-16-3755-2024, https://doi.org/10.5194/essd-16-3755-2024, 2024
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We present the temporal data of stable isotopes in different waterbodies in the Beiluhe Basin in the hinterland of the Qinghai–Tibet Plateau (QTP) produced between 2017 and 2022. In this article, the first detailed stable isotope data of 359 ground ice samples are presented. This first data set provides a new basis for understanding the hydrological effects of permafrost degradation on the QTP.
Hordur Bragi Helgason and Bart Nijssen
Earth Syst. Sci. Data, 16, 2741–2771, https://doi.org/10.5194/essd-16-2741-2024, https://doi.org/10.5194/essd-16-2741-2024, 2024
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LamaH-Ice is a large-sample hydrology (LSH) dataset for Iceland. The dataset includes daily and hourly hydro-meteorological time series, including observed streamflow and basin characteristics, for 107 basins. LamaH-Ice offers most variables that are included in existing LSH datasets and additional information relevant to cold-region hydrology such as annual time series of glacier extent and mass balance. A large majority of the basins in LamaH-Ice are unaffected by human activities.
Chengcheng Hou, Yan Li, Shan Sang, Xu Zhao, Yanxu Liu, Yinglu Liu, and Fang Zhao
Earth Syst. Sci. Data, 16, 2449–2464, https://doi.org/10.5194/essd-16-2449-2024, https://doi.org/10.5194/essd-16-2449-2024, 2024
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To fill the gap in the gridded industrial water withdrawal (IWW) data in China, we developed the China Industrial Water Withdrawal (CIWW) dataset, which provides monthly IWWs from 1965 to 2020 at a spatial resolution of 0.1°/0.25° and auxiliary data including subsectoral IWW and industrial output value in 2008. This dataset can help understand the human water use dynamics and support studies in hydrology, geography, sustainability sciences, and water resource management and allocation in China.
Nehar Mandal, Prabal Das, and Kironmala Chanda
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-109, https://doi.org/10.5194/essd-2024-109, 2024
Revised manuscript accepted for ESSD
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Optimal features among hydroclimatic variables and land surface model (LSM) outputs are selected using a novel Bayesian network (BN) approach for simulating Terrestrial Water Storage Anomalies (TWSA). TWSA is simulated using ML models (CNN, SVR, ETR, and Stacking Ensemble Regression), and gridwise leader models are identified globally. TWSA is reconstructed (BNML_TWSA) with the selected leader models from January 1960 to December 2022 to generate a continuous global gridded dataset.
Pierre-Antoine Versini, Leydy Alejandra Castellanos-Diaz, David Ramier, and Ioulia Tchiguirinskaia
Earth Syst. Sci. Data, 16, 2351–2366, https://doi.org/10.5194/essd-16-2351-2024, https://doi.org/10.5194/essd-16-2351-2024, 2024
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Nature-based solutions (NBSs), such as green roofs, have appeared as relevant solutions to mitigate urban heat islands. The evapotranspiration (ET) process allows NBSs to cool the air. To improve our knowledge about ET assessment, this paper presents some experimental measurement campaigns carried out during three consecutive summers. Data are available for three different (large, small, and point-based) spatial scales.
Ralph Bathelemy, Pierre Brigode, Vazken Andréassian, Charles Perrin, Vincent Moron, Cédric Gaucherel, Emmanuel Tric, and Dominique Boisson
Earth Syst. Sci. Data, 16, 2073–2098, https://doi.org/10.5194/essd-16-2073-2024, https://doi.org/10.5194/essd-16-2073-2024, 2024
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The aim of this work is to provide the first hydroclimatic database for Haiti, a Caribbean country particularly vulnerable to meteorological and hydrological hazards. The resulting database, named Simbi, provides hydroclimatic time series for around 150 stations and 24 catchment areas.
Changming Li, Ziwei Liu, Wencong Yang, Zhuoyi Tu, Juntai Han, Sien Li, and Hanbo Yang
Earth Syst. Sci. Data, 16, 1811–1846, https://doi.org/10.5194/essd-16-1811-2024, https://doi.org/10.5194/essd-16-1811-2024, 2024
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Using a collocation-based approach, we developed a reliable global land evapotranspiration product (CAMELE) by merging multi-source datasets. The CAMELE product outperformed individual input datasets and showed satisfactory performance compared to reference data. It also demonstrated superiority for different plant functional types. Our study provides a promising solution for data fusion. The CAMELE dataset allows for detailed research and a better understanding of land–atmosphere interactions.
Yuhan Guo, Hongxing Zheng, Yuting Yang, Yanfang Sang, and Congcong Wen
Earth Syst. Sci. Data, 16, 1651–1665, https://doi.org/10.5194/essd-16-1651-2024, https://doi.org/10.5194/essd-16-1651-2024, 2024
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We have provided an inaugural version of the hydrogeomorphic dataset for catchments over the Tibetan Plateau. We first provide the width-function-based instantaneous unit hydrograph (WFIUH) for each HydroBASINS catchment, which can be used to investigate the spatial heterogeneity of hydrological behavior across the Tibetan Plateau. It is expected to facilitate hydrological modeling across the Tibetan Plateau.
Lingbo Li, Hong-Yi Li, Guta Abeshu, Jinyun Tang, L. Ruby Leung, Chang Liao, Zeli Tan, Hanqin Tian, Peter Thornton, and Xiaojuan Yang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-43, https://doi.org/10.5194/essd-2024-43, 2024
Revised manuscript accepted for ESSD
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We have developed a new map that reveals how organic carbon from soil leaches into headwater streams over the contiguous United States. We use advanced artificial intelligence techniques and a massive amount of data, including observations at over 2,500 gauges and a wealth of climate and environmental information. The map is a critical step in understanding and predicting how carbon moves through our environment, hence a useful tool for tackling climate challenges.
Ziyun Yin, Peirong Lin, Ryan Riggs, George H. Allen, Xiangyong Lei, Ziyan Zheng, and Siyu Cai
Earth Syst. Sci. Data, 16, 1559–1587, https://doi.org/10.5194/essd-16-1559-2024, https://doi.org/10.5194/essd-16-1559-2024, 2024
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Large-sample hydrology (LSH) datasets have been the backbone of hydrological model parameter estimation and data-driven machine learning models for hydrological processes. This study complements existing LSH studies by creating a dataset with improved sample coverage, uncertainty estimates, and dynamic descriptions of human activities, which are all crucial to hydrological understanding and modeling.
Pierluigi Claps, Giulia Evangelista, Daniele Ganora, Paola Mazzoglio, and Irene Monforte
Earth Syst. Sci. Data, 16, 1503–1522, https://doi.org/10.5194/essd-16-1503-2024, https://doi.org/10.5194/essd-16-1503-2024, 2024
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FOCA (Italian FlOod and Catchment Atlas) is the first systematic collection of data on Italian river catchments. It comprises geomorphological, soil, land cover, NDVI, climatological and extreme rainfall catchment attributes. FOCA also contains 631 peak and daily discharge time series covering the 1911–2016 period. Using this first nationwide data collection, a wide range of applications, in particular flood studies, can be undertaken within the Italian territory.
Wei Jing Ang, Edward Park, Yadu Pokhrel, Dung Duc Tran, and Ho Huu Loc
Earth Syst. Sci. Data, 16, 1209–1228, https://doi.org/10.5194/essd-16-1209-2024, https://doi.org/10.5194/essd-16-1209-2024, 2024
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Dams have burgeoned in the Mekong, but information on dams is scattered and inconsistent. Up-to-date evaluation of dams is unavailable, and basin-wide hydropower potential has yet to be systematically assessed. We present a comprehensive database of 1055 dams, a spatiotemporal analysis of the dams, and a total hydropower potential of 1 334 683 MW. Considering projected dam development and hydropower potential, the vulnerability and the need for better dam management may be highest in Laos.
Chuanqi He, Ci-Jian Yang, Jens M. Turowski, Richard F. Ott, Jean Braun, Hui Tang, Shadi Ghantous, Xiaoping Yuan, and Gaia Stucky de Quay
Earth Syst. Sci. Data, 16, 1151–1166, https://doi.org/10.5194/essd-16-1151-2024, https://doi.org/10.5194/essd-16-1151-2024, 2024
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The shape of drainage basins and rivers holds significant implications for landscape evolution processes and dynamics. We used a global 90 m resolution topography to obtain ~0.7 million drainage basins with sizes over 50 km2. Our dataset contains the spatial distribution of drainage systems and their morphological parameters, supporting fields such as geomorphology, climatology, biology, ecology, hydrology, and natural hazards.
Jingyu Lin, Peng Wang, Jinzhu Wang, Youping Zhou, Xudong Zhou, Pan Yang, Hao Zhang, Yanpeng Cai, and Zhifeng Yang
Earth Syst. Sci. Data, 16, 1137–1149, https://doi.org/10.5194/essd-16-1137-2024, https://doi.org/10.5194/essd-16-1137-2024, 2024
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Our paper provides a repository comprising over 330 000 observations encompassing daily, weekly, and monthly records of surface water quality spanning the period 1980–2022. It included 18 distinct indicators, meticulously gathered at 2384 monitoring sites, ranging from inland locations to coastal and oceanic areas. This dataset will be very useful for researchers and decision-makers in the fields of hydrology, ecological studies, climate change, policy development, and oceanography.
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Short summary
This dataset provides a set of hydrometric indices for about 1500 stations across Africa with daily discharge data. These indices represent mean flow characteristics and extremes (low flows and floods), allowing us to study the long-term evolution of hydrology in Africa and support the modeling efforts that aim at reducing the vulnerability of African countries to hydro-climatic variability.
This dataset provides a set of hydrometric indices for about 1500 stations across Africa with...
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