Articles | Volume 13, issue 5
https://doi.org/10.5194/essd-13-2275-2021
© 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-13-2275-2021
© 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
| 
26 May 2021
Data description paper |
| 26 May 2021
| 26 May 2021
Comprehensive bathymetry and intertidal topography of the Amazon estuary
Alice César Fassoni-Andrade
CORRESPONDING AUTHOR
Laboratoire d'Etudes en Géophysique et Océanographie Spatiales (LEGOS), Université Toulouse, IRD, CNRS, CNES, UPS, Toulouse, France
Institute of Geosciences, University of Brasília (UnB), Campus
Darcy Ribeiro,Asa Norte, Brasília, Brazil
Fabien Durand
Laboratoire d'Etudes en Géophysique et Océanographie Spatiales (LEGOS), Université Toulouse, IRD, CNRS, CNES, UPS, Toulouse, France
Institute of Geosciences, University of Brasília (UnB), Campus
Darcy Ribeiro,Asa Norte, Brasília, Brazil
Daniel Moreira
CPRM, Serviço Geológico do Brasil, Urca, Rio de Janeiro, Brazil
Alberto Azevedo
Laboratório Nacional de Engenharia Civil (LNEC), Lisbon, Portugal
Valdenira Ferreira dos Santos
Instituto de Pesquisas Científicas e Tecnológicas do Estado do Amapá (IEPA), Campus IEPA Fazendinha, Macapá, Brazil
Claudia Funi
Instituto de Pesquisas Científicas e Tecnológicas do Estado do Amapá (IEPA), Campus IEPA Fazendinha, Macapá, Brazil
Alain Laraque
IRD, GET-UMR CNRS/IRD/UPS – UMR 5562 du CNRS, UMR 234 de l'IRD,
Toulouse, France
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Arne Bendinger, Sophie Cravatte, Lionel Gourdeau, Luc Rainville, Clément Vic, Guillaume Sérazin, Fabien Durand, Frédéric Marin, and Jean-Luc Fuda
EGUsphere, https://doi.org/10.5194/egusphere-2024-247, https://doi.org/10.5194/egusphere-2024-247, 2024
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A unique data set of glider observations reveal tidal beams south of New Caledonia – an internal tide generation hot spot in the southwestern tropical Pacific. Observations are in good agreement with numerical modeling output highlighting the glider's capability to infer internal tides while assessing the model's realism of internal tide dynamics. Discrepancies are primarily linked to eddy-internal tide interactions. A methodology is proposed to deduce the internal tides surface signature.
Md Jamal Uddin Khan, Fabien Durand, Kerry Emanuel, Yann Krien, Laurent Testut, and A. K. M. Saiful Islam
Nat. Hazards Earth Syst. Sci., 22, 2359–2379, https://doi.org/10.5194/nhess-22-2359-2022, https://doi.org/10.5194/nhess-22-2359-2022, 2022
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Cyclonic storm surges constitute a major threat to lives and properties along the vast coastline of the Bengal delta. From a combination of cyclone and storm surge modelling, we present a robust probabilistic estimate of the storm surge flooding hazard under the current climate. The estimated extreme water levels vary regionally, and the inland flooding is strongly controlled by the embankments. More than 1/10 of the coastal population is currently exposed to 50-year return period flooding.
Jérôme Le Coz, Guy D. Moukandi N'kaya, Jean-Pierre Bricquet, Alain Laraque, and Benjamin Renard
Proc. IAHS, 384, 25–29, https://doi.org/10.5194/piahs-384-25-2021, https://doi.org/10.5194/piahs-384-25-2021, 2021
Md. Jamal Uddin Khan, Fabien Durand, Xavier Bertin, Laurent Testut, Yann Krien, A. K. M. Saiful Islam, Marc Pezerat, and Sazzad Hossain
Nat. Hazards Earth Syst. Sci., 21, 2523–2541, https://doi.org/10.5194/nhess-21-2523-2021, https://doi.org/10.5194/nhess-21-2523-2021, 2021
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The Bay of Bengal is well known for some of the deadliest cyclones in history. At the same time, storm surge forecasting in this region is physically involved and computationally costly. Here we show a proof of concept of a real-time, computationally efficient, and physically consistent forecasting system with an application to the recent Supercyclone Amphan. While challenges remain, our study paves the path forward to the improvement of the quality of localized forecast and disaster management.
Santiago Paul Yepez, Alain Laraque, Carlo Gualtieri, Frédéric Christophoul, Claudio Marchan, Bartolo Castellanos, Jose Manuel Azocar, Jose Luis Lopez, and Juan Alfonso
Proc. IAHS, 377, 41–50, https://doi.org/10.5194/piahs-377-41-2018, https://doi.org/10.5194/piahs-377-41-2018, 2018
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Enhancing knowledge of the role of morphological changes (volume) with this new methodology is an opportunity to gain better understanding of river bed sediment transport. This type of study will support dredging projects in the Orinoco River to maintain navigability, which will contribute to the management of this important river basin.
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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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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.
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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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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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.
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.
Jiawei Hou, Albert I. J. M. Van Dijk, Luigi J. Renzullo, and Pablo R. Larraondo
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.
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.
Ralph Bathelemy, Pierre Brigode, Vazken Andréassian, Charles Perrin, Vincent Moron, Cédric Gaucherel, Emmanuel Tric, and Dominique Boisson
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-259, https://doi.org/10.5194/essd-2023-259, 2023
Revised manuscript accepted for ESSD
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The aim of this work is to provide the first hydro-climatic database for Haiti, a Caribbean country particularly vulnerable to meteorological and hydrological hazards. The resulting database, named SIMBI, provides hydro-climatic time series for around 150 stations and 24 catchment areas.
Hordur Bragi Helgason and Bart Nijssen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-349, https://doi.org/10.5194/essd-2023-349, 2023
Revised manuscript accepted for ESSD
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LamaH-Ice is a large-sample hydrology (LSH) dataset for Iceland. The dataset includes daily and hourly hydro-meteorological timeseries, including observed streamflow, and basin characteristics for 107 basins. LamaH-Ice offers most variables that are included in existing LSH datasets, as well as 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.
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.
Pierre-Antoine Versini, Leydy Alejandra Castellanos-Diaz, David Ramier, and Ioulia Tchiguirinskaia
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-324, https://doi.org/10.5194/essd-2023-324, 2023
Revised manuscript accepted for ESSD
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Nature-Based Solutions, as green roofs, have appeared as relevant solutions to mitigate urban heat islands. The evapotranspiration process conducts the ability of NBS to cool the air. To improve our knowledge about evapotranspiration assessment, this paper presents some experimental measurement campaigns carried out during 3 consecutive summers. It makes the data available for 3 different spatial scales (large, small and punctual).
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.
Chengcheng Hou, Yan Li, Shan Sang, Xu Zhao, Yanxu Liu, Yinglu Liu, and Fang Zhao
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-66, https://doi.org/10.5194/essd-2023-66, 2023
Revised manuscript accepted for ESSD
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The China Industrial Water Withdrawal Dataset help understand the human water use dynamics and support studies in hydrology, geography, environment, sustainability sciences, and regional water resources management and allocation in China. The transparent methodology and public availability of the source data allowed further adjustments and calibration to support the various applications by users. They also served as a reference for other countries to develop localized datasets of their own.
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).
Ibrahim Demir, Zhongrun Xiang, Bekir Demiray, and Muhammed Sit
Earth Syst. Sci. Data, 14, 5605–5616, https://doi.org/10.5194/essd-14-5605-2022, https://doi.org/10.5194/essd-14-5605-2022, 2022
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We provide a large benchmark dataset, WaterBench-Iowa, with valuable features for hydrological modeling. This dataset is designed to support cutting-edge deep learning studies for a more accurate streamflow forecast model. We also propose a modeling task for comparative model studies and provide sample models with codes and results as the benchmark for reference. This makes up for the lack of benchmarks in earth science research.
Cited articles
Amante, C. J. and Eakins, B. W.: Accuracy of interpolated bathymetry in
digital elevation models, in: Advances in Topobathymetric Mapping, Models,
and Applications, vol. 76, edited by: Brock, J. C., Gesch, D. B.,
Parrish, C. E., Rogers, J. N., and Wright, C. W., Journal of Coastal
Research, Coconut Creek (Florida), 123–133, 2016.
Andrade, M. M. N. and Szlafsztein, C. F.: Vulnerability assessment
including tangible and intangible components in the index composition: An
Amazon case study of flooding and flash flooding, Sci. Total Environ., 630,
903–912, https://doi.org/10.1016/j.scitotenv.2018.02.271, 2018.
Armon, M., Dente, E., Shmilovitz, Y., Mushkin, A., Cohen, T. J., Morin, E.,
and Enzel, Y.: Determining Bathymetry of Shallow and Ephemeral Desert Lakes
Using Satellite Imagery and Altimetry, Geophys. Res. Lett., 47, 1–9,
https://doi.org/10.1029/2020GL087367, 2020.
Arnesen, A. S., Silva, T. S. F. F., Hess, L. L., Novo, E. M. L. M. L. M.,
Rudorff, C. M., Chapman, B. D., and McDonald, K. C.: Monitoring flood extent
in the lower Amazon River floodplain using ALOS/PALSAR ScanSAR images,
Remote Sens. Environ., 130, 51–61, https://doi.org/10.1016/j.rse.2012.10.035, 2013.
Bell, P. S., Bird, C. O., and Plater, A. J.: A temporal waterline approach to
mapping intertidal areas using X-band marine radar, Coast. Eng., 107,
84–101, https://doi.org/10.1016/j.coastaleng.2015.09.009, 2016.
Bergmann, M., Durand, F., Krien, Y., Khan, M. J. U., Ishaque, M., Testut,
L., Calmant, S., Maisongrande, P., Islam, A. K. M. S., Papa, F., and Ouillon,
S.: Topography of the intertidal zone along the shoreline of Chittagong
(Bangladesh) using PROBA-V imagery, Int. J. Remote Sens., 39,
9004–9024, https://doi.org/10.1080/01431161.2018.1504341, 2018.
Bishop-Taylor, R., Sagar, S., Lymburner, L., and Beaman, R. J.: Between the
tides: Modelling the elevation of Australia's exposed intertidal zone at
continental scale, Estuar. Coast. Shelf Sci., 223, 115–128,
https://doi.org/10.1016/j.ecss.2019.03.006, 2019.
BRADAR: Projeto DSG AMAPÁ relatório técnico processamento SAR
v.1., 2017.
Callède, J., Cochonneau, G., Alves, F. V., Guyot, J.-L., Guimarães,
V. S., and De Oliveira, E.: The River Amazon water contribution to the
Atlantic Ocean, Rev. des Sci. l'eau, 23, 247–273, https://doi.org/10.7202/044688ar, 2010.
Callède, J., Moreira, D. M., and Calmant, S.: Détermination de
l'altitude du zéro des stations hydrométriques en amazonie
brésilienne, Application aux lignes d'eau des Rios Negro, Solimões
et Amazone, Rev. des Sci. l'Eau, 26, 153–171, https://doi.org/10.7202/1016065ar,
2013.
Calmant, S., Da Silva, J. S., Moreira, D. M., Seyler, F., Shum, C. K.,
Crétaux, J. F., and Gabalda, G.: Detection of Envisat RA2/ICE-1 retracked
radar altimetry bias over the Amazon basin rivers using GPS, Adv. Sp. Res.,
51, 1551–1564, https://doi.org/10.1016/j.asr.2012.07.033, 2013.
Carrère, L., Lyard, F. H., Cancet, M., Guillot, A., and Picot, N.: Finite
Element Solution FES2014, a new tidal model – Validation results and
perspectives for improvements, in: ESA Living Planet Conference, Prague,
9–13 May 2016.
De Castro-Filho, C. A. P. and Antonio Da Silva Rosa, R.: Brazilian Amazon
land mapping project: Status and perspectives, in: International Geoscience
and Remote Sensing Symposium (IGARSS), Fort Worth, TX, 23–28 July 2017, 2895–2898,
2017.
Dai, C., Howat, I. M., Larour, E., and Husby, E.: Coastline extraction from
repeat high resolution satellite imagery, Remote Sens. Environ.,
229, 260–270, https://doi.org/10.1016/j.rse.2019.04.010, 2019.
Dyer, K. R.: Estuaries: a physical introduction, Wiley-Interscience, London, 1997.
Fassoni-Andrade, A. C., Paiva, R. C. D., Rudorff, C. M., Barbosa, C. C. F.
and Novo, E. M. L. d. M.: High-resolution mapping of floodplain topography
from space: A case study in the Amazon, Remote Sens. Environ., 251, 112065,
https://doi.org/10.1016/j.rse.2020.112065, 2020a.
Fassoni-Andrade, A. C., Paiva, R. C. D., and Fleischmann, A. S.: Lake
topography and active storage from satellite observations of flood
frequency, Water Resour. Res., 56, e2019WR026362, https://doi.org/10.1029/2019wr026362, 2020b.
Fassoni-Andrade, A., Durand, F., Moreira, D., Azevedo, A., Santos, V., Funi,
C. and Laraque, A.: Comprehensive bathymetry and intertidal topography of
the Amazon estuary, Mendeley Data, V2, https://doi.org/10.17632/3g6b5ynrdb.2, 2021.
Fernandes, R. D., Vinzon, S. B. and De Oliveira, F. A. M.: Navigation at the
Amazon River mouth: Sand bank migration and depth surveying, 11th Triennial International Conference on Ports, San Diego, California, USA, 25-28 March 2007,
https://doi.org/10.1061/40834(238)52, 2007.
Filizola, N., Guyot, J.-L., Wittmann, H., Martinez, J.-M. and de Oliveira, E.: The
Significance of Suspended Sediment Transport Determination on the Amazonian
Hydrological Scenario, in: Sediment Transport in Aquatic Environments, edited by: Manning, A. J., IntechOpen, https://doi.org/10.5772/19948,
2011.
Fricke, A. T., Nittrouer, C. A., Ogston, A. S., Nowacki, D. J., Asp, N. E.,
and Souza Filho, P. W. M.: Morphology and dynamics of the intertidal
floodplain along the Amazon tidal river, Earth Surf. Process. Land.,
44, 204–218, https://doi.org/10.1002/esp.4545, 2019.
Gabioux, M., Vinzon, S. B., and Paiva, A. M.: Tidal propagation over fluid
mud layers on the Amazon shelf, Cont. Shelf Res., 25, 113–125,
https://doi.org/10.1016/j.csr.2004.09.001, 2005.
Gallo, M. N. and Vinzon, S. B.: Generation of overtides and compound tides
in Amazon estuary, Ocean Dyn., 55, 441–448,
https://doi.org/10.1007/s10236-005-0003-8, 2005.
Gallo, M. N. and Vinzon, S. B.: Estudo numérico do escoamento em
planícies de marés do canal Norte (estuário do rio Amazonas),
Ribagua, 2, 38–50, https://doi.org/10.1016/j.riba.2015.04.002, 2015.
Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., and Moore,
R.: Google Earth Engine: Planetary-scale geospatial analysis for everyone,
Remote Sens. Environ., 202, 18–27, https://doi.org/10.1016/j.rse.2017.06.031, 2017.
Héroux, P. and Kouba, J.: GPS precise point positioning with a
difference, Geomatics'95, Ottawa, Canada, 13–15 June 1995, 1995.
Hutchinson, M. F.: A new procedure for gridding elevation and stream line
data with automatic removal of spurious pits, J. Hydrol., 106,
211–232, https://doi.org/10.1016/0022-1694(89)90073-5, 1989.
Khan, J. U., Ansary, N., and Durand, F.: High-Resolution Intertidal
Topography from Sentinel-2 Multi-Spectral Imagery: Synergy between Remote
Sensing and Numerical Modeling, 11, 2888, https://doi.org/10.3390/rs11242888, 2019.
Kosuth, P., Callede, J., Laraque, A., Filizola, N., Guyot, J. L., Seyler,
P., Fritsch, J. M., and Guimarães, V.: Sea-tide effects on flows in the
lower reaches of the Amazon River, Hydrol. Process., 23,
3141–3150, https://doi.org/10.1002/hyp.7387, 2009.
Latrubesse, E. M., Arima, E. Y., Dunne, T., Park, E., Baker, V. R., D'Horta,
F. M., Wight, C., Wittmann, F., Zuanon, J., Baker, P. A., Ribas, C. C.,
Norgaard, R. B., Filizola, N., Ansar, A., Flyvbjerg, B., and Stevaux, J. C.:
Damming the rivers of the Amazon basin, Nature, 546, 363–369,
https://doi.org/10.1038/nature22333, 2017.
Ma, Y., Xu, N., Liu, Z., Yang, B., Yang, F., Wang, X. H., and Li, S.:
Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery
datasets, Remote Sens. Environ., 250, 112047,
https://doi.org/10.1016/j.rse.2020.112047, 2020.
Mansur, A. V., Brondízio, E. S., Roy, S., Hetrick, S., Vogt, N. D., and
Newton, A.: An assessment of urban vulnerability in the Amazon Delta and
Estuary: a multi-criterion index of flood exposure, socio-economic
conditions and infrastructure, Sustain. Sci., 11, 625–643,
https://doi.org/10.1007/s11625-016-0355-7, 2016.
Martinez, J. M., Guyot, J. L., Filizola, N., and Sondag, F.: Increase in
suspended sediment discharge of the Amazon River assessed by monitoring
network and satellite data, Catena, 79, 257–264,
https://doi.org/10.1016/j.catena.2009.05.011, 2009.
Marty, J. C., Loyer, S., Perosanz, F., Mercier, F., Bracher, G., Legresy,
B., Portier, L., Capdeville, H., Fund, F., Lemoine, J. M., and Biancale, R.: GINS
the CNESGRGS GNSS scientific software, in: 3rd International colloquium
scientific and fundamental aspects of the Galileo programme, Copenhagen, Denmark, 31 August–2 September 2011, ESA proceedings
WPP326, 31, 8–10, 2011.
Matos, A. C. O. C. d., Blitzkow, D., Guimarães, G. d. N., Lobianco, M.
C. B., and Costa, S. M. A.: Validação do MAPGEO2010 e
comparação com modelos do geopotencial recentes, Bol. Ciências
Geodésicas, 18, 101–122, https://doi.org/10.1590/s1982-21702012000100006, 2012.
McCarthy, D. D. and Petit, G.: IERS Technical Note# 32—IERS Conventions
(2003), Frankfurt, 2004.
Molinas, E., Vinzon, S. B., de Paula Xavier Vilela, C., and Gallo, M. N.:
Structure and position of the bottom salinity front in the Amazon Estuary,
Ocean Dyn., 64, 1583–1599, https://doi.org/10.1007/s10236-014-0763-0, 2014.
Molinas, E., Carneiro, J. C., and Vinzon, S.: Internal tides as a major
process in Amazon continental shelf fine sediment transport, Mar. Geol.,
430, 106360, https://doi.org/10.1016/j.margeo.2020.106360, 2020.
Moreira, D. M., Calmant, S., Perosanz, F., Xavier, L., Rotunno Filho, O. C.,
Seyler, F., and Monteiro, A. C.: Comparisons of observed and modeled elastic
responses to hydrological loading in the Amazon basin, Geophys. Res. Lett.,
43, 9604–9610, https://doi.org/10.1002/2016GL070265, 2016.
Neuenschwander, A. L., Pitts, K. L., Jelley, B. P., Robbins, J., Klotz, B.,
Popescu, S. C., Nelson, R. F., Harding, D., Pederson, D., and Sheridan, R.:
ATLAS/ICESat-2 L3A Land and Vegetation Height, Version 3. ATL08, NASA
National Snow and Ice, Boulder, CO, USA, 2020.
Nittrouer, C., DeMaster, D., Kuehl, S., Figueiredo, A., Sternberg, R.,
Faria, L. E. C., Silveira, O., Allison, M., Kineke, G., Ogston, A., Souza
Filho, P., Asp, N., Nowacki, D. and Fricke, A.: Amazon Sediment Transport
and Accumulation Along the Continuum of Mixed Fluvial and Marine Processes,
Ann. Rev. Mar. Sci., 13, 1–36, https://doi.org/10.1146/annurev-marine-010816-060457,
2021.
Parrish, C. E., Magruder, L. A., Neuenschwander, A. L., Forfinski-Sarkozi,
N., Alonzo, M., and Jasinski, M.: Validation of ICESat-2 ATLAS bathymetry and
analysis of ATLAS's bathymetric mapping performance, Remote Sens., 11, 1634,
https://doi.org/10.3390/rs11141634, 2019.
Pavlis, N. K., Holmes, S. A., Kenyon, S. C., and Factor, J. K.: The
development and evaluation of the Earth Gravitational Model 2008 (EGM2008),
J. Geophys. Res.-Sol. Ea., 117, B04406, https://doi.org/10.1029/2011JB008916, 2012.
Pekel, J.-F., Cottam, A., Gorelick, N., and Belward, A. S.: High-resolution
mapping of global surface water and its long-term changes, Nature,
540, 418–422, https://doi.org/10.1038/nature20584, 2016.
Prestes, Y. O., Borba, T. A. da C., Silva, A. C. d., and Rollnic, M.: A
discharge stationary model for the Pará-Amazon estuarine system, J.
Hydrol. Reg. Stud., 28, 100668, https://doi.org/10.1016/j.ejrh.2020.100668,
2020.
Pugh, D. and Woodworth, P.: Sea-Level Science: Understanding Tides, Surges,
Tsunamis and Mean Sea-Level Changes, 2014.
Ruault, V., Jouanno, J., Durand, F., Chanut, J., and Benshila, R.: Role of
the Tide on the Structure of the Amazon Plume: A Numerical Modeling
Approach, J. Geophys. Res.-Ocean., 125, 1–17, https://doi.org/10.1029/2019jc015495,
2020.
Salameh, E., Frappart, F., Almar, R., Baptista, P., Heygster, G., Lubac, B.,
Raucoules, D., Almeida, L. P., Bergsma, E. W. J., Capo, S., De Michele, M.
D., Idier, D., Li, Z., Marieu, V., Poupardin, A., Silva, P. A., Turki, I.,
and Laignel, B.: Monitoring Beach Topography and Nearshore Bathymetry Using
Spaceborne Remote Sensing: A Review, Remote Sens., 11, 2212,
https://doi.org/10.3390/rs11192212, 2019.
Salameh, E., Frappart, F., Turki, I., and Laignel, B.: Intertidal topography
mapping using the waterline method from Sentinel-1 & -2 images: The
examples of Arcachon and Veys Bays in France, ISPRS J. Photogramm. Remote
Sens., 163, 98–120, https://doi.org/10.1016/j.isprsjprs.2020.03.003, 2020.
Sawakuchi, H. O., Neu, V., Ward, N. D., Barros, M. d. L. C., Valerio, A. M.,
Gagne-Maynard, W., Cunha, A. C., Less, D. F. S., Diniz, J. E. M., Brito, D.
C., Krusche, A. V., and Richey, J. E.: Carbon Dioxide Emissions along the
Lower Amazon River, Front. Mar. Sci., 4, 76,
https://doi.org/10.3389/fmars.2017.00076, 2017.
Tseng, K. H., Kuo, C. Y., Lin, T. H., Huang, Z. C., Lin, Y. C., Liao, W. H.,
and Chen, C. F.: Reconstruction of time-varying tidal flat topography using
optical remote sensing imageries, ISPRS J. Photogramm. Remote Sens., 131,
92–103, https://doi.org/10.1016/j.isprsjprs.2017.07.008, 2017.
Vieira, M. S.: Base cartográfica contínua do estado do Amapá,
Rev. Digit. Simonsen, 3, 47–60, 2015.
Vital, H., Stattegger, K., Posewang, J., and Theilen, F.: Lowermost Amazon
River: Morphology and shallow seismic characteristics, Mar. Geol., 152,
277–294, https://doi.org/10.1016/S0025-3227(98)00099-1, 1998.
Ward, N. D., Krusche, A. V., Sawakuchi, H. O., Brito, D. C., Cunha, A. C.,
Moura, J. M. S., da Silva, R., Yager, P. L., Keil, R. G., and Richey, J. E.:
The compositional evolution of dissolved and particulate organic matter
along the lower Amazon River-Óbidos to the ocean, Mar. Chem., 177,
244–256, https://doi.org/10.1016/j.marchem.2015.06.013, 2015.
Weatherall, P., Marks, K. M., Jakobsson, M., Schmitt, T., Tani, S., Arndt,
J. E., Rovere, M., Chayes, D., Ferrini, V., and Wigley, R.: A new digital
bathymetric model of the world's oceans, Earth Sp. Sci., 2, 331–345,
https://doi.org/10.1002/2015EA000107, 2015.
Yamazaki, D., Ikeshima, D., Sosa, J., Bates, P. D., Allen, G. H., and
Pavelsky, T. M.: MERIT Hydro: A High-Resolution Global Hydrography Map Based
on Latest Topography Dataset, Water Resour. Res., 55, 5053–5073,
https://doi.org/10.1029/2019WR024873, 2019.
Short summary
We present a seamless dataset of river, land, and ocean topography of the Amazon River estuary with a 30 m spatial resolution. An innovative remote sensing approach was used to estimate the topography of the intertidal flats, riverbanks, and adjacent floodplains. Amazon River bathymetry was generated from digitized nautical charts. The novel dataset opens up a broad range of opportunities, providing the poorly known underwater digital topography required for environmental sciences.
We present a seamless dataset of river, land, and ocean topography of the Amazon River estuary...
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