Articles | Volume 13, issue 7
https://doi.org/10.5194/essd-13-3707-2021
© 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-13-3707-2021
© 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
| 
29 Jul 2021
Data description paper |
| 29 Jul 2021
| 29 Jul 2021
C-band radar data and in situ measurements for the monitoring of wheat crops in a semi-arid area (center of Morocco)
Nadia Ouaadi
LMFE, Department of Physics, Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco
CESBIO, University of Toulouse, IRD/CNRS/UPS/CNES, Toulouse, France
Jamal Ezzahar
CORRESPONDING AUTHOR
MISCOM, National School of Applied Sciences, Cadi Ayyad University,
Safi, Morocco
CRSA, Mohammed VI Polytechnic University UM6P, Benguerir, Morocco
Saïd Khabba
LMFE, Department of Physics, Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco
CRSA, Mohammed VI Polytechnic University UM6P, Benguerir, Morocco
Salah Er-Raki
CRSA, Mohammed VI Polytechnic University UM6P, Benguerir, Morocco
ProcEDE, Department of Applied Physics, Faculty of Sciences and
Technologies, Cadi Ayyad University, Marrakech, Morocco
Adnane Chakir
LMFE, Department of Physics, Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco
Bouchra Ait Hssaine
CRSA, Mohammed VI Polytechnic University UM6P, Benguerir, Morocco
Valérie Le Dantec
MISCOM, National School of Applied Sciences, Cadi Ayyad University,
Safi, Morocco
Zoubair Rafi
LMFE, Department of Physics, Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco
CESBIO, University of Toulouse, IRD/CNRS/UPS/CNES, Toulouse, France
Antoine Beaumont
Atmo Hauts-de-France, Lille, France
Mohamed Kasbani
MISCOM, National School of Applied Sciences, Cadi Ayyad University,
Safi, Morocco
Lionel Jarlan
MISCOM, National School of Applied Sciences, Cadi Ayyad University,
Safi, Morocco
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Laura Sourp, Simon Gascoin, Lionel Jarlan, Vanessa Pedinotti, Kat J. Bormann, and Mohamed Wassim Baba
EGUsphere, https://doi.org/10.5194/egusphere-2024-791, https://doi.org/10.5194/egusphere-2024-791, 2024
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An accurate knowledge of the spatial distribution of the snow mass across the landscape is important for water management in mountain catchments. We present a new tool to estimate the snow water resources without ground measurements. We evaluate the output of this tool using accurate airborne measurements in the Sierra Nevada and find that it provides realistic estimates of the snow mass and snow depth at the catchment scale.
Lahoucine Hanich, Ouiaam Lahnik, Simon Gascoin, Adnane Chakir, and Vincent Simonneaux
Proc. IAHS, 385, 387–391, https://doi.org/10.5194/piahs-385-387-2024, https://doi.org/10.5194/piahs-385-387-2024, 2024
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Using a dataset measured with the eddy covariance system (EC) for a period from September 2020 to January 2021 at the Tazaghart plateau, located in the High Atlas of Marrakech, the sublimation was estimated. The average daily sublimation rate measured was 0.41 mm per day. Measured sublimation accounted for 42 % and 40 % of snow ablation, based on the energy and water balances, respectively.
Myriam Benkirane, Nour-Eddine Laftouhi, Said Khabba, and Bouabid El Mansouri
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-243, https://doi.org/10.5194/hess-2021-243, 2021
Revised manuscript not accepted
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Moroccan High Atlas is characterized by Mediterranean climate, where generally occurred a few rainy days, producing important flash floods, which frequently generate heavy flooding. However, rain gauge in these regions, are often scare, irregular, and unreliable. The acquisition of reliable and accurate precipitation data is very important in hydrological modeling and flood forecasting. Satellite precipitation data are a good alternative to solve the lack of data problem.
Michel Le Page, Younes Fakir, Lionel Jarlan, Aaron Boone, Brahim Berjamy, Saïd Khabba, and Mehrez Zribi
Hydrol. Earth Syst. Sci., 25, 637–651, https://doi.org/10.5194/hess-25-637-2021, https://doi.org/10.5194/hess-25-637-2021, 2021
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In the context of major changes, the southern Mediterranean area faces serious challenges with low and continuously decreasing water resources mainly attributed to agricultural use. A method for projecting irrigation water demand under both anthropogenic and climatic changes is proposed. Time series of satellite imagery are used to determine a set of semiempirical equations that can be easily adapted to different future scenarios.
Ghizlane Aouade, Lionel Jarlan, Jamal Ezzahar, Salah Er-Raki, Adrien Napoly, Abdelfattah Benkaddour, Said Khabba, Gilles Boulet, Sébastien Garrigues, Abdelghani Chehbouni, and Aaron Boone
Hydrol. Earth Syst. Sci., 24, 3789–3814, https://doi.org/10.5194/hess-24-3789-2020, https://doi.org/10.5194/hess-24-3789-2020, 2020
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Our objective is to question the representation of the energy budget in surface–vegetation–atmosphere transfer models for the prediction of the convective fluxes in crops with complex structures (row) and under transient hydric regimes due to irrigation. The main result is that a coupled multiple energy balance approach is necessary to properly predict surface exchanges for these complex crops. It also points out the need for other similar studies on various crops with different sparsity levels.
Bouchra Ait Hssaine, Olivier Merlin, Jamal Ezzahar, Nitu Ojha, Salah Er-Raki, and Said Khabba
Hydrol. Earth Syst. Sci., 24, 1781–1803, https://doi.org/10.5194/hess-24-1781-2020, https://doi.org/10.5194/hess-24-1781-2020, 2020
Guillaume Bigeard, Benoit Coudert, Jonas Chirouze, Salah Er-Raki, Gilles Boulet, Eric Ceschia, and Lionel Jarlan
Hydrol. Earth Syst. Sci., 23, 5033–5058, https://doi.org/10.5194/hess-23-5033-2019, https://doi.org/10.5194/hess-23-5033-2019, 2019
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The purpose of our work is to estimate landscape evapotranspiration (ET) fluxes over agricultural areas by relying on two surface modeling approaches with increasing complexity and input data needs.
Both approaches, compared sequentially and over the entire crop cycle, showed quite similar performance except under developed vegetation and stressed conditions. This study helps lay the groundwork for exploring the complementarities between instantaneous and continuous ET mapping with TIR data.
Claire Delon, Corinne Galy-Lacaux, Dominique Serça, Erwan Personne, Eric Mougin, Marcellin Adon, Valérie Le Dantec, Benjamin Loubet, Rasmus Fensholt, and Torbern Tagesson
Biogeosciences, 16, 2049–2077, https://doi.org/10.5194/bg-16-2049-2019, https://doi.org/10.5194/bg-16-2049-2019, 2019
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In the Sahel region during the wet season, CO2 and NO are released to the atmosphere, and NH3 is deposited on the soil. During the dry season, processes are strongly reduced. This paper shows the temporal variation in these soil–atmosphere exchanges of trace gases for 2 years, their sharp increase when the first rains fall onto dry soils, and how microbial processes are involved. We use a modelling approach, which is necessary when continuous measurements are not possible in remote regions.
G. Boulet, B. Mougenot, J.-P. Lhomme, P. Fanise, Z. Lili-Chabaane, A. Olioso, M. Bahir, V. Rivalland, L. Jarlan, O. Merlin, B. Coudert, S. Er-Raki, and J.-P. Lagouarde
Hydrol. Earth Syst. Sci., 19, 4653–4672, https://doi.org/10.5194/hess-19-4653-2015, https://doi.org/10.5194/hess-19-4653-2015, 2015
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The paper presents a new model (SPARSE) to estimate total evapotranspiration as well as its components (evaporation and transpiration) from remote-sensing data in the thermal infra-red domain. The limits of computing two unknowns (evaporation and transpiration) out of one piece of information (one surface temperature) are assessed theoretically. The model performance in retrieving the components as well as the water stress is assessed for two wheat crops (one irrigated and one rainfed).
J. Chirouze, G. Boulet, L. Jarlan, R. Fieuzal, J. C. Rodriguez, J. Ezzahar, S. Er-Raki, G. Bigeard, O. Merlin, J. Garatuza-Payan, C. Watts, and G. Chehbouni
Hydrol. Earth Syst. Sci., 18, 1165–1188, https://doi.org/10.5194/hess-18-1165-2014, https://doi.org/10.5194/hess-18-1165-2014, 2014
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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.
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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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Ana M. Ricardo, Rui M. L. Ferreira, Alberto Rodrigues da Silva, Jacinto Estima, Jorge Marques, Ivo Gamito, and Alexandre Serra
Earth Syst. Sci. Data, 16, 375–385, https://doi.org/10.5194/essd-16-375-2024, https://doi.org/10.5194/essd-16-375-2024, 2024
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Floods are among the most common natural disasters responsible for severe damages and human losses. Agueda.2016Flood, a synthesis of locally sensed data and numerically produced data, allows complete characterization of the flood event that occurred in February 2016 in the Portuguese Águeda River. The dataset was managed through the RiverCure Portal, a collaborative web platform connected to a validated shallow-water model.
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Earth Syst. Sci. Data, 16, 201–218, https://doi.org/10.5194/essd-16-201-2024, https://doi.org/10.5194/essd-16-201-2024, 2024
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The GloLakes dataset provides historical and near-real-time time series of relative (i.e. storage change) and absolute (i.e. total stored volume) storage for more than 27 000 lakes worldwide using multiple sources of satellite data, including laser and radar altimetry and optical remote sensing. These data can help us understand the influence of climate variability and anthropogenic activities on water availability and system ecology over the last 4 decades.
Menaka Revel, Xudong Zhou, Prakat Modi, Jean-François Cretaux, Stephane Calmant, and Dai Yamazaki
Earth Syst. Sci. Data, 16, 75–88, https://doi.org/10.5194/essd-16-75-2024, https://doi.org/10.5194/essd-16-75-2024, 2024
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As satellite technology advances, there is an incredible amount of remotely sensed data for observing terrestrial water. Satellite altimetry observations of water heights can be utilized to calibrate and validate large-scale hydrodynamic models. However, because large-scale models are discontinuous, comparing satellite altimetry to predicted water surface elevation is difficult. We developed a satellite altimetry mapping procedure for high-resolution river network data.
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 Discuss., https://doi.org/10.5194/essd-2023-478, https://doi.org/10.5194/essd-2023-478, 2023
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Agroforestry systems (AFS) 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.
Marvin Höge, Martina Kauzlaric, Rosi Siber, Ursula Schönenberger, Pascal Horton, Jan Schwanbeck, Marius Günter Floriancic, Daniel Viviroli, Sibylle Wilhelm, Anna E. Sikorska-Senoner, Nans Addor, Manuela Brunner, Sandra Pool, Massimiliano Zappa, and Fabrizio Fenicia
Earth Syst. Sci. Data, 15, 5755–5784, https://doi.org/10.5194/essd-15-5755-2023, https://doi.org/10.5194/essd-15-5755-2023, 2023
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CAMELS-CH is an open large-sample hydro-meteorological data set that covers 331 catchments in hydrologic Switzerland from 1 January 1981 to 31 December 2020. It comprises (a) daily data of river discharge and water level as well as meteorologic variables like precipitation and temperature; (b) yearly glacier and land cover data; (c) static attributes of, e.g, topography or human impact; and (d) catchment delineations. CAMELS-CH enables water and climate research and modeling at catchment level.
Peter Burek and Mikhail Smilovic
Earth Syst. Sci. Data, 15, 5617–5629, https://doi.org/10.5194/essd-15-5617-2023, https://doi.org/10.5194/essd-15-5617-2023, 2023
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We address an annoying problem every grid-based hydrological model must solve to compare simulated and observed river discharge. First, station locations do not fit the high-resolution river network. We update the database with stations based on a new high-resolution network. Second, station locations do not work with a coarser grid-based network. We use a new basin shape similarity concept for station locations on a coarser grid, reducing the error of assigning stations to the wrong basin.
Najwa Sharaf, Jordi Prats, Nathalie Reynaud, Thierry Tormos, Rosalie Bruel, Tiphaine Peroux, and Pierre-Alain Danis
Earth Syst. Sci. Data, 15, 5631–5650, https://doi.org/10.5194/essd-15-5631-2023, https://doi.org/10.5194/essd-15-5631-2023, 2023
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We present a regional long-term (1959–2020) dataset (LakeTSim) of daily epilimnion and hypolimnion water temperature simulations in 401 French lakes. Overall, less uncertainty is associated with the epilimnion compared to the hypolimnion. LakeTSim is valuable for providing new insights into lake water temperature for assessing the impact of climate change, which is often hindered by the lack of observations, and for decision-making by stakeholders.
Jiabo Yin, Louise J. Slater, Abdou Khouakhi, Le Yu, Pan Liu, Fupeng Li, Yadu Pokhrel, and Pierre Gentine
Earth Syst. Sci. Data, 15, 5597–5615, https://doi.org/10.5194/essd-15-5597-2023, https://doi.org/10.5194/essd-15-5597-2023, 2023
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This study presents long-term (i.e., 1940–2022) and high-resolution (i.e., 0.25°) monthly time series of TWS anomalies over the global land surface. The reconstruction is achieved by using a set of machine learning models with a large number of predictors, including climatic and hydrological variables, land use/land cover data, and vegetation indicators (e.g., leaf area index). Our proposed GTWS-MLrec performs overall as well as, or is more reliable than, previous TWS datasets.
Shanlei Sun, Zaoying Bi, Jingfeng Xiao, Yi Liu, Ge Sun, Weimin Ju, Chunwei Liu, Mengyuan Mu, Jinjian Li, Yang Zhou, Xiaoyuan Li, Yibo Liu, and Haishan Chen
Earth Syst. Sci. Data, 15, 4849–4876, https://doi.org/10.5194/essd-15-4849-2023, https://doi.org/10.5194/essd-15-4849-2023, 2023
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Based on various existing datasets, we comprehensively considered spatiotemporal differences in land surfaces and CO2 effects on plant stomatal resistance to parameterize the Shuttleworth–Wallace model, and we generated a global 5 km ensemble mean monthly potential evapotranspiration (PET) dataset (including potential transpiration PT and soil evaporation PE) during 1982–2015. The new dataset may be used by academic communities and various agencies to conduct various studies.
Wei Wang, La Zhuo, Xiangxiang Ji, Zhiwei Yue, Zhibin Li, Meng Li, Huimin Zhang, Rong Gao, Chenjian Yan, Ping Zhang, and Pute Wu
Earth Syst. Sci. Data, 15, 4803–4827, https://doi.org/10.5194/essd-15-4803-2023, https://doi.org/10.5194/essd-15-4803-2023, 2023
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The consumptive water footprint of crop production (WFCP) measures blue and green evapotranspiration of either irrigated or rainfed crops in time and space. A gridded monthly WFCP dataset for China is established. There are four improvements from existing datasets: (i) distinguishing water supply modes and irrigation techniques, (ii) distinguishing evaporation and transpiration, (iii) consisting of both total and unit WFCP, and (iv) providing benchmarks for unit WFCP by climatic zones.
Emma L. Robinson, Matthew J. Brown, Alison L. Kay, Rosanna A. Lane, Rhian Chapman, Victoria A. Bell, and Eleanor M. Blyth
Earth Syst. Sci. Data, 15, 4433–4461, https://doi.org/10.5194/essd-15-4433-2023, https://doi.org/10.5194/essd-15-4433-2023, 2023
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This work presents two new Penman–Monteith potential evaporation datasets for the UK, calculated with the same methodology applied to historical climate data (Hydro-PE HadUK-Grid) and an ensemble of future climate projections (Hydro-PE UKCP18 RCM). Both include an optional correction for evaporation of rain that lands on the surface of vegetation. The historical data are consistent with existing PE datasets, and the future projections include effects of rising atmospheric CO2 on vegetation.
Xinyu Chen, Liguang Jiang, Yuning Luo, and Junguo Liu
Earth Syst. Sci. Data, 15, 4463–4479, https://doi.org/10.5194/essd-15-4463-2023, https://doi.org/10.5194/essd-15-4463-2023, 2023
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River flow is experiencing changes under the impacts of climate change and human activities. For example, flood events are occurring more often and are more destructive in many places worldwide. To deal with such issues, hydrologists endeavor to understand the features of extreme events as well as other hydrological changes. One key approach is analyzing flow characteristics, represented by hydrological indices. Building such a comprehensive global large-sample dataset is essential.
Tobias L. Hohenbrink, Conrad Jackisch, Wolfgang Durner, Kai Germer, Sascha C. Iden, Janis Kreiselmeier, Frederic Leuther, Johanna C. Metzger, Mahyar Naseri, and Andre Peters
Earth Syst. Sci. Data, 15, 4417–4432, https://doi.org/10.5194/essd-15-4417-2023, https://doi.org/10.5194/essd-15-4417-2023, 2023
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The article describes a collection of 572 data sets of soil water retention and unsaturated hydraulic conductivity data measured with state-of-the-art laboratory methods. Furthermore, the data collection contains basic soil properties such as soil texture and organic carbon content. We expect that the data will be useful for various important purposes, for example, the development of soil hydraulic property models and related pedotransfer functions.
Sebastien Klotz, Caroline Le Bouteiller, Nicolle Mathys, Firmin Fontaine, Xavier Ravanat, Jean-Emmanuel Olivier, Frédéric Liébault, Hugo Jantzi, Patrick Coulmeau, Didier Richard, Jean-Pierre Cambon, and Maurice Meunier
Earth Syst. Sci. Data, 15, 4371–4388, https://doi.org/10.5194/essd-15-4371-2023, https://doi.org/10.5194/essd-15-4371-2023, 2023
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Mountain badlands are places of intense erosion. They deliver large amounts of sediment to river systems, with consequences for hydropower sustainability, habitat quality and biodiversity, and flood hazard and river management. Draix-Bleone Observatory was created in 1983 to understand and quantify sediment delivery from such badland areas. Our paper describes how water and sediment fluxes have been monitored for almost 40 years in the small mountain catchments of this observatory.
Gopi Goteti
Earth Syst. Sci. Data, 15, 4389–4415, https://doi.org/10.5194/essd-15-4389-2023, https://doi.org/10.5194/essd-15-4389-2023, 2023
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Data on river gauging stations, river basin boundaries and river flow paths are critical for hydrological analyses, but existing data for India's river basins have limited availability and reliability. This work fills the gap by building a new dataset. Data for 645 stations in 15 basins of India were compiled and checked against global data sources; data were supplemented with additional information where needed. This dataset will serve as a reliable building block in hydrological analyses.
Md Safat Sikder, Jida Wang, George H. Allen, Yongwei Sheng, Dai Yamazaki, Chunqiao Song, Meng Ding, Jean-François Crétaux, and Tamlin M. Pavelsky
Earth Syst. Sci. Data, 15, 3483–3511, https://doi.org/10.5194/essd-15-3483-2023, https://doi.org/10.5194/essd-15-3483-2023, 2023
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We introduce Lake-TopoCat to reveal detailed lake hydrography information. It contains the location of lake outlets, the boundary of lake catchments, and a wide suite of attributes that depict detailed lake drainage relationships. It was constructed using lake boundaries from a global lake dataset, with the help of high-resolution hydrography data. This database may facilitate a variety of applications including water quality, agriculture and fisheries, and integrated lake–river modeling.
Maik Heistermann, Till Francke, Lena Scheiffele, Katya Dimitrova Petrova, Christian Budach, Martin Schrön, Benjamin Trost, Daniel Rasche, Andreas Güntner, Veronika Döpper, Michael Förster, Markus Köhli, Lisa Angermann, Nikolaos Antonoglou, Manuela Zude-Sasse, and Sascha E. Oswald
Earth Syst. Sci. Data, 15, 3243–3262, https://doi.org/10.5194/essd-15-3243-2023, https://doi.org/10.5194/essd-15-3243-2023, 2023
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Cosmic-ray neutron sensing (CRNS) allows for the non-invasive estimation of root-zone soil water content (SWC). The signal observed by a single CRNS sensor is influenced by the SWC in a radius of around 150 m (the footprint). Here, we have put together a cluster of eight CRNS sensors with overlapping footprints at an agricultural research site in north-east Germany. That way, we hope to represent spatial SWC heterogeneity instead of retrieving just one average SWC estimate from a single sensor.
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.
Natalie Lützow, Georg Veh, and Oliver Korup
Earth Syst. Sci. Data, 15, 2983–3000, https://doi.org/10.5194/essd-15-2983-2023, https://doi.org/10.5194/essd-15-2983-2023, 2023
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Glacier lake outburst floods (GLOFs) are a prominent natural hazard, and climate change may change their magnitude, frequency, and impacts. A global, literature-based GLOF inventory is introduced, entailing 3151 reported GLOFs. The reporting density varies temporally and regionally, with most cases occurring in NW North America. Since 1900, the number of yearly documented GLOFs has increased 6-fold. However, many GLOFs have incomplete records, and we call for a systematic reporting protocol.
Hanieh Seyedhashemi, Florentina Moatar, Jean-Philippe Vidal, and Dominique Thiéry
Earth Syst. Sci. Data, 15, 2827–2839, https://doi.org/10.5194/essd-15-2827-2023, https://doi.org/10.5194/essd-15-2827-2023, 2023
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This paper presents a past and future dataset of daily time series of discharge and stream temperature for 52 278 reaches over the Loire River basin (100 000 km2) in France, using thermal and hydrological models. Past data are provided over 1963–2019. Future data are available over the 1976–2100 period under different future climate change models (warm and wet, intermediate, and hot and dry) and scenarios (optimistic, intermediate, and pessimistic).
Youjiang Shen, Karina Nielsen, Menaka Revel, Dedi Liu, and Dai Yamazaki
Earth Syst. Sci. Data, 15, 2781–2808, https://doi.org/10.5194/essd-15-2781-2023, https://doi.org/10.5194/essd-15-2781-2023, 2023
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Res-CN fills a gap in a comprehensive and extensive dataset of reservoir-catchment characteristics for 3254 Chinese reservoirs with 512 catchment-level attributes and significantly enhanced spatial and temporal coverage (e.g., 67 % increase in water level and 225 % in storage anomaly) of time series of reservoir water level (data available for 20 % of 3254 reservoirs), water area (99 %), storage anomaly (92 %), and evaporation (98 %), supporting a wide range of applications and disciplines.
Hui Zheng, Wenli Fei, Zong-Liang Yang, Jiangfeng Wei, Long Zhao, Lingcheng Li, and Shu Wang
Earth Syst. Sci. Data, 15, 2755–2780, https://doi.org/10.5194/essd-15-2755-2023, https://doi.org/10.5194/essd-15-2755-2023, 2023
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An ensemble of evapotranspiration, runoff, and water storage is estimated here using the Noah-MP land surface model by perturbing model parameterization schemes. The data could be beneficial for monitoring and understanding the variability of water resources. Model developers could also gain insights by intercomparing the ensemble members.
Alison L. Kay, Victoria A. Bell, Helen N. Davies, Rosanna A. Lane, and Alison C. Rudd
Earth Syst. Sci. Data, 15, 2533–2546, https://doi.org/10.5194/essd-15-2533-2023, https://doi.org/10.5194/essd-15-2533-2023, 2023
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Climate change will affect the water cycle, including river flows and soil moisture. We have used both observational data (1980–2011) and the latest UK climate projections (1980–2080) to drive a national-scale grid-based hydrological model. The data, covering Great Britain and Northern Ireland, suggest potential future decreases in summer flows, low flows, and summer/autumn soil moisture, and possible future increases in winter and high flows. Society must plan how to adapt to such impacts.
Jamie Hannaford, Jonathan D. Mackay, Matthew Ascott, Victoria A. Bell, Thomas Chitson, Steven Cole, Christian Counsell, Mason Durant, Christopher R. Jackson, Alison L. Kay, Rosanna A. Lane, Majdi Mansour, Robert Moore, Simon Parry, Alison C. Rudd, Michael Simpson, Katie Facer-Childs, Stephen Turner, John R. Wallbank, Steven Wells, and Amy Wilcox
Earth Syst. Sci. Data, 15, 2391–2415, https://doi.org/10.5194/essd-15-2391-2023, https://doi.org/10.5194/essd-15-2391-2023, 2023
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The eFLaG dataset is a nationally consistent set of projections of future climate change impacts on hydrology. eFLaG uses the latest available UK climate projections (UKCP18) run through a series of computer simulation models which enable us to produce future projections of river flows, groundwater levels and groundwater recharge. These simulations are designed for use by water resource planners and managers but could also be used for a wide range of other purposes.
Fabian A. Gomez, Sang-Ki Lee, Charles A. Stock, Andrew C. Ross, Laure Resplandy, Samantha A. Siedlecki, Filippos Tagklis, and Joseph E. Salisbury
Earth Syst. Sci. Data, 15, 2223–2234, https://doi.org/10.5194/essd-15-2223-2023, https://doi.org/10.5194/essd-15-2223-2023, 2023
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We present a river chemistry and discharge dataset for 140 rivers in the United States, which integrates information from the Water Quality Database of the US Geological Survey (USGS), the USGS’s Surface-Water Monthly Statistics for the Nation, and the U.S. Army Corps of Engineers. This dataset includes dissolved inorganic carbon and alkalinity, two key properties to characterize the carbonate system, as well as nutrient concentrations, such as nitrate, phosphate, and silica.
Yufang Zhang, Shunlin Liang, Han Ma, Tao He, Qian Wang, Bing Li, Jianglei Xu, Guodong Zhang, Xiaobang Liu, and Changhao Xiong
Earth Syst. Sci. Data, 15, 2055–2079, https://doi.org/10.5194/essd-15-2055-2023, https://doi.org/10.5194/essd-15-2055-2023, 2023
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Soil moisture observations are important for a range of earth system applications. This study generated a long-term (2000–2020) global seamless soil moisture product with both high spatial and temporal resolutions (1 km, daily) using an XGBoost model and multisource datasets. Evaluation of this product against dense in situ soil moisture datasets and microwave soil moisture products showed that this product has reliable accuracy and more complete spatial coverage.
Heidi Kreibich, Kai Schröter, Giuliano Di Baldassarre, Anne F. Van Loon, Maurizio Mazzoleni, Guta Wakbulcho Abeshu, Svetlana Agafonova, Amir AghaKouchak, Hafzullah Aksoy, Camila Alvarez-Garreton, Blanca Aznar, Laila Balkhi, Marlies H. Barendrecht, Sylvain Biancamaria, Liduin Bos-Burgering, Chris Bradley, Yus Budiyono, Wouter Buytaert, Lucinda Capewell, Hayley Carlson, Yonca Cavus, Anaïs Couasnon, Gemma Coxon, Ioannis Daliakopoulos, Marleen C. de Ruiter, Claire Delus, Mathilde Erfurt, Giuseppe Esposito, Didier François, Frédéric Frappart, Jim Freer, Natalia Frolova, Animesh K. Gain, Manolis Grillakis, Jordi Oriol Grima, Diego A. Guzmán, Laurie S. Huning, Monica Ionita, Maxim Kharlamov, Dao Nguyen Khoi, Natalie Kieboom, Maria Kireeva, Aristeidis Koutroulis, Waldo Lavado-Casimiro, Hong-Yi Li, Maria Carmen LLasat, David Macdonald, Johanna Mård, Hannah Mathew-Richards, Andrew McKenzie, Alfonso Mejia, Eduardo Mario Mendiondo, Marjolein Mens, Shifteh Mobini, Guilherme Samprogna Mohor, Viorica Nagavciuc, Thanh Ngo-Duc, Huynh Thi Thao Nguyen, Pham Thi Thao Nhi, Olga Petrucci, Nguyen Hong Quan, Pere Quintana-Seguí, Saman Razavi, Elena Ridolfi, Jannik Riegel, Md Shibly Sadik, Nivedita Sairam, Elisa Savelli, Alexey Sazonov, Sanjib Sharma, Johanna Sörensen, Felipe Augusto Arguello Souza, Kerstin Stahl, Max Steinhausen, Michael Stoelzle, Wiwiana Szalińska, Qiuhong Tang, Fuqiang Tian, Tamara Tokarczyk, Carolina Tovar, Thi Van Thu Tran, Marjolein H. J. van Huijgevoort, Michelle T. H. van Vliet, Sergiy Vorogushyn, Thorsten Wagener, Yueling Wang, Doris E. Wendt, Elliot Wickham, Long Yang, Mauricio Zambrano-Bigiarini, and Philip J. Ward
Earth Syst. Sci. Data, 15, 2009–2023, https://doi.org/10.5194/essd-15-2009-2023, https://doi.org/10.5194/essd-15-2009-2023, 2023
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As the adverse impacts of hydrological extremes increase in many regions of the world, a better understanding of the drivers of changes in risk and impacts is essential for effective flood and drought risk management. We present a dataset containing data of paired events, i.e. two floods or two droughts that occurred in the same area. The dataset enables comparative analyses and allows detailed context-specific assessments. Additionally, it supports the testing of socio-hydrological models.
Rogier van der Velde, Harm-Jan F. Benninga, Bas Retsios, Paul C. Vermunt, and M. Suhyb Salama
Earth Syst. Sci. Data, 15, 1889–1910, https://doi.org/10.5194/essd-15-1889-2023, https://doi.org/10.5194/essd-15-1889-2023, 2023
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From 2009, a network of 20 profile soil moisture and temperature monitoring stations has been operational in the Twente region, east of the Netherlands. In addition, field campaigns have been conducted covering four growing seasons during which soil moisture was measured near 12 monitoring stations. We describe the monitoring network and field campaigns, and we provide an overview of open third-party datasets that may support the use of the Twente datasets.
Jana Erdbrügger, Ilja van Meerveld, Jan Seibert, and Kevin Bishop
Earth Syst. Sci. Data, 15, 1779–1800, https://doi.org/10.5194/essd-15-1779-2023, https://doi.org/10.5194/essd-15-1779-2023, 2023
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Groundwater can respond quickly to precipitation and is the main source of streamflow in most catchments in humid, temperate climates. To better understand shallow groundwater dynamics, we installed a network of groundwater wells in two boreal headwater catchments in Sweden. We recorded groundwater levels in 75 wells for 2 years and sampled the water and analyzed its chemical composition in one summer. This paper describes these datasets.
Oliver Wigmore and Noah P. Molotch
Earth Syst. Sci. Data, 15, 1733–1747, https://doi.org/10.5194/essd-15-1733-2023, https://doi.org/10.5194/essd-15-1733-2023, 2023
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We flew a custom-built drone fitted with visible, near-infrared and thermal cameras every week over a summer season at Niwot Ridge in Colorado's alpine tundra. We processed these images into seamless orthomosaics that record changes in snow cover, vegetation health and the movement of water over the land surface. These novel datasets provide a unique centimetre resolution snapshot of ecohydrologic processes, connectivity and spatial and temporal heterogeneity in the alpine zone.
Martine Lizotte, Bennet Juhls, Atsushi Matsuoka, Philippe Massicotte, Gaëlle Mével, David Obie James Anikina, Sofia Antonova, Guislain Bécu, Marine Béguin, Simon Bélanger, Thomas Bossé-Demers, Lisa Bröder, Flavienne Bruyant, Gwénaëlle Chaillou, Jérôme Comte, Raoul-Marie Couture, Emmanuel Devred, Gabrièle Deslongchamps, Thibaud Dezutter, Miles Dillon, David Doxaran, Aude Flamand, Frank Fell, Joannie Ferland, Marie-Hélène Forget, Michael Fritz, Thomas J. Gordon, Caroline Guilmette, Andrea Hilborn, Rachel Hussherr, Charlotte Irish, Fabien Joux, Lauren Kipp, Audrey Laberge-Carignan, Hugues Lantuit, Edouard Leymarie, Antonio Mannino, Juliette Maury, Paul Overduin, Laurent Oziel, Colin Stedmon, Crystal Thomas, Lucas Tisserand, Jean-Éric Tremblay, Jorien Vonk, Dustin Whalen, and Marcel Babin
Earth Syst. Sci. Data, 15, 1617–1653, https://doi.org/10.5194/essd-15-1617-2023, https://doi.org/10.5194/essd-15-1617-2023, 2023
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Permafrost thaw in the Mackenzie Delta region results in the release of organic matter into the coastal marine environment. What happens to this carbon-rich organic matter as it transits along the fresh to salty aquatic environments is still underdocumented. Four expeditions were conducted from April to September 2019 in the coastal area of the Beaufort Sea to study the fate of organic matter. This paper describes a rich set of data characterizing the composition and sources of organic matter.
Doerthe Tetzlaff, Aaron Smith, Lukas Kleine, Hauke Daempfling, Jonas Freymueller, and Chris Soulsby
Earth Syst. Sci. Data, 15, 1543–1554, https://doi.org/10.5194/essd-15-1543-2023, https://doi.org/10.5194/essd-15-1543-2023, 2023
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We present a comprehensive set of ecohydrological hydrometric and stable water isotope data of 2 years of data. The data set is unique as the different compartments of the landscape were sampled and the effects of a prolonged drought (2018–2020) captured by a marked negative rainfall anomaly (the most severe regional drought of the 21st century). Thus, the data allow the drought effects on water storage, flux and age dynamics, and persistence of lowland landscapes to be investigated.
Jacopo Dari, Luca Brocca, Sara Modanesi, Christian Massari, Angelica Tarpanelli, Silvia Barbetta, Raphael Quast, Mariette Vreugdenhil, Vahid Freeman, Anaïs Barella-Ortiz, Pere Quintana-Seguí, David Bretreger, and Espen Volden
Earth Syst. Sci. Data, 15, 1555–1575, https://doi.org/10.5194/essd-15-1555-2023, https://doi.org/10.5194/essd-15-1555-2023, 2023
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Irrigation is the main source of global freshwater consumption. Despite this, a detailed knowledge of irrigation dynamics (i.e., timing, extent of irrigated areas, and amounts of water used) are generally lacking worldwide. Satellites represent a useful tool to fill this knowledge gap and monitor irrigation water from space. In this study, three regional-scale and high-resolution (1 and 6 km) products of irrigation amounts estimated by inverting the satellite soil moisture signals are presented.
Gifty Attiah, Homa Kheyrollah Pour, and K. Andrea Scott
Earth Syst. Sci. Data, 15, 1329–1355, https://doi.org/10.5194/essd-15-1329-2023, https://doi.org/10.5194/essd-15-1329-2023, 2023
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Lake surface temperature (LST) is a significant indicator of climate change and influences local weather and climate. This study developed a LST dataset retrieved from Landsat archives for 535 lakes across the North Slave Region, NWT, Canada. The data consist of individual NetCDF files for all observed days for each lake. The North Slave LST dataset will provide communities, scientists, and stakeholders with the changing spatiotemporal trends of LST for the past 38 years (1984–2021).
Aolin Jia, Shunlin Liang, Dongdong Wang, Lei Ma, Zhihao Wang, and Shuo Xu
Earth Syst. Sci. Data, 15, 869–895, https://doi.org/10.5194/essd-15-869-2023, https://doi.org/10.5194/essd-15-869-2023, 2023
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Satellites are now producing multiple global land surface temperature (LST) products; however, they suffer from data gaps caused by cloud cover, seriously restricting the applications, and few products provide gap-free global hourly LST. We produced global hourly, 5 km, all-sky LST data from 2011 to 2021 using geostationary and polar-orbiting satellite data. Based on the assessment, it has high accuracy and can be used to estimate evapotranspiration, drought, etc.
Jianxin Zhang, Kai Liu, and Ming Wang
Earth Syst. Sci. Data, 15, 521–540, https://doi.org/10.5194/essd-15-521-2023, https://doi.org/10.5194/essd-15-521-2023, 2023
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This study successfully extracted global flood days based on gravity satellite and precipitation data between 60° S and 60° N from 1 April 2002 to 31 August 2016. Our flood days data performed well compared with current available observations. This provides an important data foundation for analyzing the spatiotemporal distribution of large-scale floods and exploring the impact of ocean–atmosphere oscillations on floods in different regions.
Niek Jesse Speetjens, Gustaf Hugelius, Thomas Gumbricht, Hugues Lantuit, Wouter R. Berghuijs, Philip A. Pika, Amanda Poste, and Jorien E. Vonk
Earth Syst. Sci. Data, 15, 541–554, https://doi.org/10.5194/essd-15-541-2023, https://doi.org/10.5194/essd-15-541-2023, 2023
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The Arctic is rapidly changing. Outside the Arctic, large databases changed how researchers look at river systems and land-to-ocean processes. We present the first integrated pan-ARctic CAtchments summary DatabasE (ARCADE) (> 40 000 river catchments draining into the Arctic Ocean). It incorporates information about the drainage area with 103 geospatial, environmental, climatic, and physiographic properties and covers small watersheds , which are especially subject to change, at a high resolution
Ionut Cristi Nicu, Letizia Elia, Lena Rubensdotter, Hakan Tanyaş, and Luigi Lombardo
Earth Syst. Sci. Data, 15, 447–464, https://doi.org/10.5194/essd-15-447-2023, https://doi.org/10.5194/essd-15-447-2023, 2023
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Thaw slumps and thermo-erosion gullies are cryospheric hazards that are widely encountered in Nordenskiöld Land, the largest and most compact ice-free area of the Svalbard Archipelago. By statistically analysing the landscape characteristics of locations where these processes occurred, we can estimate where they may occur in the future. We mapped 562 thaw slumps and 908 thermo-erosion gullies and used them to create the first multi-hazard susceptibility map in a high-Arctic environment.
Youjiang Shen, Dedi Liu, Liguang Jiang, Karina Nielsen, Jiabo Yin, Jun Liu, and Peter Bauer-Gottwein
Earth Syst. Sci. Data, 14, 5671–5694, https://doi.org/10.5194/essd-14-5671-2022, https://doi.org/10.5194/essd-14-5671-2022, 2022
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A data gap of 338 Chinese reservoirs with their surface water area (SWA), water surface elevation (WSE), and reservoir water storage change (RWSC) during 2010–2021. Validation against the in situ observations of 93 reservoirs indicates the relatively high accuracy and reliability of the datasets. The unique and novel remotely sensed dataset would benefit studies involving many aspects (e.g., hydrological models, water resources related studies, and more).
Cited articles
Abourida, A., Simonneaux, V., Errouane, S., Sighir, F., Berjami, B., and
Sgir, F.: Estimation des volumes d'eau pompés dans la nappe pour
l'irrigation (Plaine du Haouz, Marrakech, Maroc). Comparaison d'une
méthode statistique et d'une méthode basée sur l'utilisation de
données de télédétection, J. Water Sci., 21, 489–501, available at: https://hal.ird.fr/ird-00389822 (last access: 19 July 2021), 2008.
Allen, R. G., Pereira, L. S., Raes, D., and SMITH, M.: Crop
Evapotranspiration – Guidelines for Computing Crop Water Requirements,
Irrigation and Drain, Paper No. 56. FAO, Rome, Italy, available
at: http://academic.uprm.edu/abe/backup2/tomas/fao 56.pdf (last access: 19 July 2021), 1998.
Allmaras, R. R., Burwell, R. E., Larson, W. E., and Holt, R. F.: Total
Porosity And Random Roughness Of The Interrow Zone As Influenced By Tillage,
USA, available at:
https://www.ars.usda.gov/ARSUserFiles/50701000/cswq-t1914-allmaras.pdf
(last access: 21 February 2020), 1966.
Bai, X., He, B., Li, X., Zeng, J., Wang, X., Wang, Z., Zeng, Y., and Su, Z.:
First assessment of Sentinel-1A data for surface soil moisture estimations
using a coupled water cloud model and advanced integral equation model over
the Tibetan Plateau, Remote Sens., 9, 1–20, https://doi.org/10.3390/rs9070714, 2017.
Bamler, R. and Hartl, P.: Synthetic aperture radar interferometry, Inverse
Probl., 14, 1–54, https://doi.org/10.1088/0266-5611/14/4/001, 1998.
Bigeard, G., Coudert, B., Chirouze, J., Er-Raki, S., Boulet, G., and Jarlan,
L.: Estimating evapotranspiration with thermal infrared data over
Agricultural landscapes: comparison of a simple energy budget model and a
svat model, in: Estimation spatialisée de l'évapotranspiration à
l'aide de données infra-rouge thermique multi-résolutions, Toulouse, France, 149–192, 2017.
Blaes, X. and Defourny, P.: Retrieving crop parameters based on tandem ERS 1/2 interferometric coherence images, Remote Sens. Environ., 88,
374–385, https://doi.org/10.1016/j.rse.2003.08.008, 2003.
Bousbih, S., Zribi, M., Lili-Chabaane, Z., Baghdadi, N., El Hajj, M., Gao, Q., and Mougenot, B.: Potential of sentinel-1 radar data for the assessment of soil and cereal cover parameters, Sensors, 17, 2617, https://doi.org/10.3390/s17112617, 2017.
Brown, S. C. M., Quegan, S., Morrison, K., Bennett, J. C., and Cookmartin,
G.: High-resolution measurements of scattering in wheat canopies –
Implications for crop parameter retrieval, IEEE Trans. Geosci. Remote Sens.,
41, 1602–1610, https://doi.org/10.1109/TGRS.2003.814132, 2003.
Castelli, M., Anderson, M. C., Yang, Y., Wohlfahrt, G., Bertoldi, G.,
Niedrist, G., Hammerle, A., Zhao, P., Zebisch, M., and Notarnicola, C.:
Two-source energy balance modeling of evapotranspiration in Alpine
grasslands, Remote Sens. Environ., 209, 327–342,
https://doi.org/10.1016/j.rse.2018.02.062, 2018.
Chauhan, S., Shanker, H., and Patel, P.: Wheat crop biophysical parameters
retrieval using hybrid-polarized RISAT-1 SAR data, Remote Sens. Environ.,
216, 28–43, https://doi.org/10.1016/j.rse.2018.06.014, 2018.
Cho, E., Choi, M., and Wagner, W.: An assessment of remotely sensed surface
and root zone soil moisture through active and passive sensors in northeast
Asia, Remote Sens. Environ., 160, 166–179, https://doi.org/10.1016/j.rse.2015.01.013,
2015.
CNES: The ORFEO Tool Box Software Guide, available at:
https://www.orfeo-toolbox.org/packages/OTBSoftwareGuide.pdf (last access: 19 July 2021), 2018.
Cookmartin, G., Saich, P., Quegan, S., Cordey, R., Burgess-Alien, P., and Sowter, A.: Modeling microwave interactions with crops and comparison with ERS2 SAR observations, IEEE Trans. Geosci. Remote Sens., 38, 658–670, https://doi.org/10.1109/36.841996, 2000.
Das, N. N., Mohanty, B. P., Cosh, M. H., and Jackson, T. J.: Modeling and
assimilation of root zone soil moisture using remote sensing observations in
Walnut Gulch Watershed during SMEX04, Remote Sens. Environ., 112, 415–429,
https://doi.org/10.1016/j.rse.2006.10.027, 2008.
De Zan, F. and Guarnieri, A. M.: TOPSAR: Terrain Observation by Progressive
Scans, IEEE Trans. Geosci. Remote Sens., 44, 2352–2360,
https://doi.org/10.1109/TGRS.2006.873853, 2006.
De Zan, F., Parizzi, A., Prats-Iraola, P., and López-dekker, P.: A SAR
Interferometric Model for Soil Moisture, IEEE Trans. Geosci. Remote Sens.,
52, 418–425, 2014.
Duchemin, B., Hadria, R., Erraki, S., Boulet, G., Maisongrande, P.,
Chehbouni, A., Escadafal, R., Ezzahar, J., Hoedjes, J. C. B., Kharrou, M.
H., Khabba, S., Mougenot, B., Olioso, A., Rodriguez, J. C., and Simonneaux,
V.: Monitoring wheat phenology and irrigation in Central Morocco: On the
use of relationships between evapotranspiration , crops coefficients , leaf
area index and remotely-sensed vegetation indices, Agric. Water Manag.,
79, 1–27, https://doi.org/10.1016/j.agwat.2005.02.013, 2006.
Ducrot, R., Le Page, C., Bommel, P., and Kuper, M.: Articulating land and
water dynamics with urbanization: an attempt to model natural resources
management at the urban edge, Comput. Environ. Urban Syst., 28, 85–106,
2004.
Dumedah, G., Walker, J. P., and Merlin, O.: Root-zone soil moisture
estimation from assimilation of downscaled Soil Moisture and Ocean Salinity
data, Adv. Water Resour., 84, 14–22, https://doi.org/10.1016/j.advwatres.2015.07.021,
2015.
El Hajj, M., Baghdadi, N., Zribi, M., Belaud, G., Cheviron, B., Courault, D., and Charron, F.: Soil moisture retrieval over irrigated grassland using
X-band SAR data, Remote Sens. Environ., 176, 202–218,
https://doi.org/10.1016/j.rse.2016.01.027, 2016.
El Hajj, M., Baghdadi, N., Bazzi, H., and Zribi, M.: Penetration Analysis of
SAR Signals in the C and L Bands for Wheat, Maize, and Grasslands, Remote
Sens., 11, 22–24, https://doi.org/10.3390/rs11010031, 2019.
Engdahl, M. E., Borgeaud, M., Member, S., and Rast, M.: The Use of ERS-1/2
Tandem Interferometric Coherence in the Estimation of Agricultural Crop
Heights, IEEE Trans. Geosci. Remote Sens., 39, 1799–1806,
https://doi.org/10.1109/36.942558, 2001.
European Space Agency: Sentinel-1: ESA’s Radar Observatory Mission for GMES Operational Services, SP-1322/1, edited by: Fletcher, K., ESA Communications, Noordwijk, the Netherlands, 2012.
Ezzahar, J., Ouaadi, N., Zribi, M., Elfarkh, J., Aouade, G., Khabba, S.,
Er-Raki, S., Chehbouni, A., and Jarlan, L.: Evaluation of Backscattering
Models and Support Vector Machine for the Retrieval of Bare Soil Moisture
from Sentinel-1 Data, Remote Sens., 12, 72, https://doi.org/10.3390/rs12010072, 2020.
Fader, M., Shi, S., von Bloh, W., Bondeau, A., and Cramer, W.: Mediterranean irrigation under climate change: more efficient irrigation needed to compensate for increases in irrigation water requirements, Hydrol. Earth Syst. Sci., 20, 953–973, https://doi.org/10.5194/hess-20-953-2016, 2016.
Farineau, J. and Morot-Gaudry, J.-F.: La photosynthèse: Processus
physiques, moléculaires et physiologiques, Quae., Paris, France, available at: https://books.google.fr/books?id=UHBJDwAAQBAJ
(last access: 30 August 2020), 2018.
Fieuzal, R., Baup, F., and Marais-Sicre, C.: Monitoring Wheat and Rapeseed by
Using Synchronous Optical and Radar Satellite Data – From Temporal
Signatures to Crop Parameters Estimation, Adv. Remote Sens., 2,
162–180, https://doi.org/10.4236/ars.2013.22020, 2013.
Fontanelli, G., Paloscia, S., Pampaloni, P., Pettinato, S., Santi, E.,
Montomoli, F., Brogioni, M., and Macelloni, G.: HydroCosmo: The monitoring of
hydrological parameters on agricultural areas by using Cosmo-SkyMed images,
Eur. J. Remote Sens., 46, 875–889, https://doi.org/10.5721/EuJRS20134652, 2013.
Ford, T. W., Harris, E., and Quiring, S. M.: Estimating root zone soil moisture using near-surface observations from SMOS, Hydrol. Earth Syst. Sci., 18, 139–154, https://doi.org/10.5194/hess-18-139-2014, 2014.
Frison, P.-L. and Lardeux, C.: Vegetation Cartography from Sentinel-1 Radar
Images, in: QGIS and Applications in Agriculture and Forest, edited by:
Baghdadi, N., Mallet, C., and Zribi, M., Wiley, London, UK, p. 350, https://doi.org/10.1002/9781119457107.ch6, 2018.
Gherboudj, I., Magagi, R., Berg, A. A., and Toth, B.: Soil moisture retrieval
over agricultural fields from multi-polarized and multi-angular RADARSAT-2
SAR data, Remote Sens. Environ., 115, 33–43,
https://doi.org/10.1016/j.rse.2010.07.011, 2011.
Giorgi, F.: Climate change hot-spots, Geophys. Res. Lett., 33, 1–4,
https://doi.org/10.1029/2006GL025734, 2006.
Giorgi, F. and Lionello, P.: Climate change projections for the
Mediterranean region, Glob. Planet. Change, 63, 90–104,
https://doi.org/10.1016/j.gloplacha.2007.09.005, 2008.
Girard, M. C. and Girard, C. M.: Télédétection appliquée: zones tempérées et intertropicale, MASSON, Paris, France, 1989.
Gorrab, A., Zribi, M., Baghdadi, N., Mougenot, B., Fanise, P., and Chabaane,
Z. L.: Retrieval of both soil moisture and texture using TerraSAR-X images,
Remote Sens., 7, 10098–10116, https://doi.org/10.3390/rs70810098, 2015.
Hagolle, O., Huc, M., Pascual, D. V., and Dedieu, G.: A multi-temporal method
for cloud detection, applied to FORMOSAT-2, VENµS, LANDSAT and
SENTINEL-2 images, Remote Sens. Environ., 114, 1747–1755,
https://doi.org/10.1016/j.rse.2010.03.002, 2010.
Hagolle, O., Huc, M., Pascual, D. V., and Dedieu, G.: A multi-temporal and
multi-spectral method to estimate aerosol optical thickness over land, for
the atmospheric correction of FormoSat-2, LandSat, VENµS and Sentinel-2 images, Remote Sens., 7, 2668–2691, https://doi.org/10.3390/rs70302668, 2015.
Holah, N., Baghdadi, N., Zribi, M., Bruand, A., and King, C.: Potential of
ASAR/ENVISAT for the characterization of soil surface parameters over bare
agricultural fields, Remote Sens. Environ., 96, 78–86,
https://doi.org/10.1016/j.rse.2005.01.008, 2005.
Hosseini, M. and McNairn, H.: Using multi-polarization C- and L-band
synthetic aperture radar to estimate biomass and soil moisture of wheat
fields, Int. J. Appl. Earth Obs. Geoinf., 58, 50–64,
https://doi.org/10.1016/j.jag.2017.01.006, 2017.
IPCC: Climate Change 2014: Synthesis Report. Contribution of Working Groups
I, II and III to the Fifth Assessment Report of the Intergovernmental Panel
on Climate Change, edited by: Core Writing Team, Pachauri, R. K., and Meyer, L. A., Geneva, Switzerland, 2014.
Jarlan, L., Khabba, S., Er-Raki, S., Le Page, M., Hanich, L., Fakir, Y.,
Merlin, O., Mangiarotti, S., Gascoin, S., Ezzahar, J., Kharrou, M. H.,
Berjamy, B., Saaïdi, A., Boudhar, A., Benkaddour, A., Laftouhi, N.,
Abaoui, J., Tavernier, A., Boulet, G., Simonneaux, V., Driouech, F., El
Adnani, M., El Fazziki, A., Amenzou, N., Raibi, F., El Mandour, H., Ibouh,
H., Le Dantec, V., Habets, F., Tramblay, Y., Mougenot, B., Leblanc, M., El
Faïz, M., Drapeau, L., Coudert, B., Hagolle, O., Filali, N., Belaqziz,
S., Marchane, A., Szczypta, C., Toumi, J., Diarra, A., Aouade, G., Hajhouji,
Y., Nassah, H., Bigeard, G., Chirouze, J., Boukhari, K., Abourida, A.,
Richard, B., Fanise, P., Kasbani, M., Chakir, A., Zribi, M., Marah, H.,
Naimi, A., Mokssit, A., Kerr, Y., and Escadafal, R.: Remote Sensing of Water
Resources in Semi- Arid Mediterranean Areas: the joint international
laboratory TREMA, Int. J. Remote Sens., 36, 4879–4917,
https://doi.org/10.1080/01431161.2015.1093198, 2015.
Jarlan, L., Khabba, S., Szczypta, C., Lili-Chabaane, Z., Driouech, F., Le Page, M., Hanich, L., Fakir, Y., Boone, A., and Boulet, G.: Water resources in South Mediterranean catchments Assessing climatic drivers and impacts, in: The Mediterranean Region under Climate Change, IRD Éditions, Marseille, France, 303–309, 2016.
Khabba, S., Duchemin, B., Hadria, R., Er-Raki, S., Ezzahar, J., Chehbouni,
A., Lahrouni, A., and Hanich, L.: Evaluation of digital Hemispherical
Photography and Plant Canopy Analyzer for Measuring Vegetation Area Index of
Orange Orchards, J. Agron., 8, 67–72, https://doi.org/10.3923/ja.2009.67.72, 2009.
Lee, C., Lu, Z., and Jung, H.: Simulation of time-series surface deformation
to validate a multi- interferogram InSAR processing technique, Int. J.
Remote Sens., 33, 7075–7087, https://doi.org/10.1080/01431161.2012.700137, 2012.
Lenoble, J., Herman, M., Deuzé, J. L., Lafrance, B., Santer, R., and
Tanré, D.: A successive order of scattering code for solving the vector
equation of transfer in the earth's atmosphere with aerosols, J. Quant.
Spectrosc. Radiat. Transf., 107, 479–507,
https://doi.org/10.1016/j.jqsrt.2007.03.010, 2007.
Li, J. and Wang, S.: Using SAR-derived vegetation descriptors in a water
cloud model to improve soil moisture retrieval, Remote Sens., 10, 1370,
https://doi.org/10.3390/rs10091370, 2018.
Li, Y. Y., Zhao, K., Ren, J. H., Ding, Y. L., and Wu, L. L.: Analysis of the
dielectric constant of saline-alkali soils and the effect on radar
backscattering coefficient: A case study of soda alkaline saline soils in
western Jilin province using RADARSAT-2 data, Sci. World J., 2014, 1–14,
https://doi.org/10.1155/2014/563015, 2014.
Major, D. G., Schaalje, G. B., Asrar, G., and Kanemasu, E. T.: Estimation Of
Whole-Plant Biomass And Grain Yield From Spectral Reflectance Of Cereals,
Can. J. Remote Sens., 12, 47–54, 1986.
Mattia, F., Le Toan, T., Picard, G., Posa, F. I., D'Alessio, A.,
Notarnicola, C., Gatti, A. M., Rinaldi, M., Satalino, G., and Pasquariello,
G.: Multitemporal C-band radar measurements on wheat fields, IEEE Trans.
Geosci. Remote Sens., 41, 1551–1560,
https://doi.org/10.1109/TGRS.2003.813531, 2003.
Ministre de l'agriculture et peche maritime du develpement rurale et des
eaux et forets: Agriculture en chiffres 2017, édition 2018, PLAN MAROC
VERT, available at:
http://www.agriculture.gov.ma/sites/default/files/AgricultureEnChiffre2017VAVF.pdf (last access: 19 July 2021), 2018.
Nasrallah, A., Baghdadi, N., El Hajj, M., Darwish, T., Belhouchette, H., Faour, G., Darwich, S., and Mhawej, M.: Sentinel-1 Data for Winter Wheat Phenology Monitoring and Mapping, Remote Sens., 11, 2228, https://doi.org/10.3390/rs11192228, 2019.
Nolin, M., Quenum, M., Cambouris, A., Martin, A., and Cluis, D.:
Rugosité de la surface du sol – description et interprétation,
Agrosol, 16, 5–21, 2005.
Norman, J. M., Kustas, W. P., and Humes, K. S.: Source approach for
estimating soil and vegetation energy fluxes in observations of directional
radiometric surface temperature, Agric. For. Meteorol., 77, 263–293,
https://doi.org/10.1016/0168-1923(95)02265-Y, 1995.
Ouaadi, N., Ezzahar, J., Khabba, S., Er-Raki, S., Chakir, A., Ait Hssaine,
B., Le Dantec, V., Rafi, Z., Beaumont, A., Kasbani, M., and Jarlan, L.:
C-band radar data and in situ measurements for the monitoring of wheat crops
in a semi-arid area (center of Morocco), DataSuds [data set], https://doi.org/10.23708/8D6WQC, 2020a.
Ouaadi, N., Jarlan, L., Ezzahar, J., Zribi, M., Khabba, S., Bouras, E.,
Bousbih, S., and Frison, P.: Monitoring of wheat crops using the
backscattering coe ffi cient and the interferometric coherence derived from
Sentinel-1 in semi-arid areas, Remote Sens. Environ., 251, 112050,
https://doi.org/10.1016/j.rse.2020.112050, 2020b.
Ouaadi, N., Jarlan, L., Ezzahar, J., Zribi, M., Khabba, S., Bouras, E., and
Frison, P.-L.: Surface Soil Moisture Retrieval Over Irrigated Wheat Crops in
Semi-Arid Areas using Sentinel-1 Data, in: 2020 IEEE Mediterranean and
Middle-East Geoscience and Remote Sensing Symposium (M2GARSS), 9–11 March 2020, Tunis, Tunisia, 212–215, https://doi.org/10.1109/M2GARSS47143.2020.9105282, 2020c.
Ouaadi, N., Jarlan, L., Ezzahar, J., Khabba, S., Le Dantec, V., Rafi, Z.,
Zribi, M., and Frison, P.-L.: Water Stress Detection Over Irrigated Wheat
Crops in Semi-Arid Areas using the Diurnal Differences of Sentinel-1
Backscatter, in: 2020 IEEE Mediterranean and Middle-East Geoscience and
Remote Sensing Symposium (M2GARSS), 9–11 March 2020, Tunis, Tunisia, 306–309, https://doi.org/10.1109/M2GARSS47143.2020.9105171, 2020d.
Patel, P., Srivastava, H. S., and Navalgund, R. R.: Estimating wheat yield:
an approach for estimating number of grains using cross-polarised ENVISAT-1
ASAR data, Microw. Remote Sens. Atmos. Environ. V, 6410, 641009,
https://doi.org/10.1117/12.693930, 2006.
Periasamy, S.: Significance of dual polarimetric synthetic aperture radar in
biomass retrieval: An attempt on Sentinel-1, Remote Sens. Environ., 217,
537–549, https://doi.org/10.1016/j.rse.2018.09.003, 2018.
Petcu, E., Petcu, G., Lazãr, C., and Vintilã, R.: Relationship
between leaf area index, biomass and winter wheat yield obtained at
fundulea, under conditions of 2001 year, Rom. Agric. Res., 19–20, 21–29,
2003.
Picard, G., Le Toan, T., and Mattia, F.: Understanding C-Band Radar
Backscatter From Wheat Canopy Using a Multiple-Scattering Coherent Model,
IEEE Trans. Geosci. Remote Sens., 41, 1583–1591,
https://doi.org/10.1109/TGRS.2003.813353, 2003.
Rahman, H., Dedieu, G., and Rahmant, H.: SMAC: a simplified method for the
atmospheric correction of satellite measurements in the solar spectrum, INT.
J. Remote Sens., 15, 123–143, https://doi.org/10.1080/01431169408954055, 1994.
Rodell, M., Houser, P. R., Jambor, U., Gottschalck, J., Mitchell, K., Memg,
C.-J., Arsenault, K., Cosgrove, B., Radakovich, J., Bosilovich, M., Entin,
J. K., Walker, J. P., Lohmann, D., and Toll, D.: The Global Land Data
Assimilation System, Bull. Am. Meteorol. Soc., 85, 381–394,
https://doi.org/10.1175/BAMS-85-3-381, 2004.
Sabater, J. M., Jarlan, L., Calvet, J.-C., and Bouyssel, F.: From
Near-Surface to Root-Zone Soil Moisture Using Different, J. Hydrol., 8,
194–206, https://doi.org/10.1175/JHM571.1, 2006.
Santoro, M., Wegmüller, U., and Askne, J. I. H.: Signatures of
ERS-Envisat interferometric SAR coherence and phase of short vegetation: An
analysis in the case of maize fields, IEEE Trans. Geosci. Remote Sens.,
48, 1702–1713, https://doi.org/10.1109/TGRS.2009.2034257, 2010.
Scott, C. P., Lohman, R. B., and Jordan, T. E.: InSAR constraints on soil
moisture evolution after the March 2015 extreme precipitation event in
Chile, Sci. Rep., 7, 4903, https://doi.org/10.1038/s41598-017-05123-4, 2017.
Small, D. and Schubert, A.: Guide to ASAR Geocoding, ESA-ESRIN Technical Note RSL-ASAR-GC-AD, University of Zürich, Zurich, Switzerland, 2008.
Sure, A. and Dikshit, O.: Estimation of root zone soil moisture using
passive microwave remote sensing: A case study for rice and wheat crops for
three states in the Indo- Gangetic basin, J. Environ. Manage., 234, 75–89,
https://doi.org/10.1016/j.jenvman.2018.12.109, 2019.
Taconet, O., Benallegue, M., Vidal-Madjar, D., Prevot, L., Dechambre, M., and
Normand, M.: Estimation of soil and crop parameters for wheat from airborne
radar backscattering data in C and X bands, Remote Sens. Environ., 50,
287–294, https://doi.org/10.1016/0034-4257(94)90078-7, 1994.
Torres, R., Snoeij, P., Geudtner, D., Bibby, D., Davidson, M., Attema, E.,
Potin, P., Rommen, B., Floury, N., Brown, M., Navas, I., Deghaye, P.,
Duesmann, B., Rosich, B., Miranda, N., Bruno, C., Abbate, M. L., Croci, R.,
Pietropaolo, A., Huchler, M., and Rostan, F.: GMES Sentinel-1 mission, Remote
Sens. Environ., 120, 9–24, https://doi.org/10.1016/j.rse.2011.05.028, 2012.
Touzi, R., Lopes, A., Bruniquel, J., and Vachon, P. W.: Coherence estimation
for SAR imagery, IEEE Trans. Geosci. Remote Sens., 37, 135–149,
https://doi.org/10.1109/36.739146, 1999.
Ulaby, F. T., Moore, R. K., and Fung, A. K.: Microwave remote sensing active and passive, Volume III: from theory to applications, available at:
https://ntrs.nasa.gov/citations/19860041708 (last access: 19 July 2021), 1986.
Ulaby, F. T. and Batlivala, P. P.: Optimum Radar Parameters for Mapping
Soil Moisture, IEEE Trans. Geosci. Electron., GE-14, 81–93, 1976.
Ulaby, F. T. and Dobson, M. C.: Microwave Soil Moisture Research, IEEE
Trans. Geosci. Remote Sens., GE-24, 23–36, https://doi.org/10.1109/TGRS.1986.289585,
1986.
Ulaby, F. T., Aslam, A., and Dobson, M. C.: Effects of Vegetation Cover on
the Radar Sensitivity to Soil Moisture, IEEE Trans. Geosci. Remote Sens.,
GE-20, 476–481, https://doi.org/10.1109/TGRS.1982.350413, 1982.
Van Emmerik, T., Steele-Dunne, S. C., Judge, J., and Van De Giesen, N.:
Impact of Diurnal Variation in Vegetation Water Content on Radar Backscatter
from Maize During Water Stress, IEEE Trans. Geosci. Remote Sens., 53,
3855–3869, https://doi.org/10.1109/TGRS.2014.2386142, 2015.
Veci, L.: Sentinel-1 Toolbox: TOPS Interferometry Tutorial, available at: http://teledetection-radar.u-pem.fr/atelier_radar_sfpt/data/TP_InSAR/S1TBX TOPSAR Interferometry with Sentinel-1 Tutorial.pdf (last access: 19 July 2021), 2015.
Veloso, A., Mermoz, S., Bouvet, A., Le Toan, T., Planells, M., Dejoux, J. F., and Ceschia, E.: Understanding the temporal behavior of crops using
Sentinel-1 and Sentinel-2-like data for agricultural applications, Remote
Sens. Environ., 199, 415–426, https://doi.org/10.1016/j.rse.2017.07.015, 2017.
Wang, H., Magagi, R., and Goïta, K.: Potential of a two-component
polarimetric decomposition at C-band for soil moisture retrieval over
agricultural fields, Remote Sens. Environ., 217, 38–51,
https://doi.org/10.1016/j.rse.2018.08.003, 2018.
Wang, P., Song, X., Han, D., Zhang, Y., and Zhang, B.: Determination of
evaporation , transpiration and deep percolation of summer corn and winter
wheat after irrigation, Agric. Water Manag., 105, 32–37,
https://doi.org/10.1016/j.agwat.2011.12.024, 2012.
Wegmuller, U. and Werner, C.: Retrieval of Vegetation Parameters with SAR
Interferometry, IEEE Trans. Geosci. Remote Sens., 35, 18–24,
https://doi.org/10.1109/36.551930, 1997.
Zribi, M., Kotti, F., Amri, R., Wagner, W., Shabou, M., Lili-Chabaane, Z., and Baghdadi, N.: Soil moisture mapping in a semiarid region, based on
ASAR/Wide Swath satellite data, Water Resour. Res., 50, 823–835,
https://doi.org/10.1002/2012WR013405, 2014.
Short summary
In this paper, a radar remote sensing database composed of processed Sentinel-1 products and field measurements of soil and vegetation characteristics, weather data, and irrigation water inputs is described. The data set was collected over 3 years (2016–2019) in three drip-irrigated wheat fields in the center of Morocco. It is dedicated to radar data analysis over vegetated surface including the retrieval of soil and vegetation characteristics.
In this paper, a radar remote sensing database composed of processed Sentinel-1 products and...
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