Articles | Volume 14, issue 2
https://doi.org/10.5194/essd-14-559-2022
© Author(s) 2022. 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-14-559-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
09 Feb 2022
Data description paper |
| 09 Feb 2022
| 09 Feb 2022
Distribution and characteristics of wastewater treatment plants within the global river network
Heloisa Ehalt Macedo
CORRESPONDING AUTHOR
Department of Geography, McGill University, Montreal, QC H3A 0B9,
Canada
Bernhard Lehner
CORRESPONDING AUTHOR
Department of Geography, McGill University, Montreal, QC H3A 0B9,
Canada
Jim Nicell
Department of Civil Engineering, McGill University, Montreal, QC H3A
2K7, Canada
Günther Grill
Department of Geography, McGill University, Montreal, QC H3A 0B9,
Canada
Jing Li
Department of Civil Engineering, McGill University, Montreal, QC H3A
2K7, Canada
Antonio Limtong
Department of Geography, McGill University, Montreal, QC H3A 0B9,
Canada
Ranish Shakya
Department of Geography, McGill University, Montreal, QC H3A 0B9,
Canada
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Earth Syst. Sci. Data, 16, 4709–4734, https://doi.org/10.5194/essd-16-4709-2024, https://doi.org/10.5194/essd-16-4709-2024, 2024
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The MSEA-Res database offers an open-access dataset tracking absolute water storage for 185 large reservoirs across Mainland Southeast Asia from 1985–2023. It provides valuable insights into how reservoir storage has grown by 130 % between 2008 and 2017, driven by dams in key river basins. Our data also reveal how droughts, like the 2019–2020 event, significantly impacted water reservoirs. This resource can aid water management, drought planning, and research globally.
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Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-259, https://doi.org/10.5194/essd-2024-259, 2024
Revised manuscript accepted for ESSD
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Our study monitored groundwater in a Luxembourg forest over a year to understand water and chemical changes. We found seasonal variations in water chemistry, influenced by rainfall and soil interactions. This data helps predict environmental responses and manage water resources better. By measuring key parameters like pH and dissolved oxygen, our research provides valuable insights into groundwater behavior and serves as a resource for future environmental studies.
Rohit Mukherjee, Frederick Policelli, Ruixue Wang, Elise Arellano-Thompson, Beth Tellman, Prashanti Sharma, Zhijie Zhang, and Jonathan Giezendanner
Earth Syst. Sci. Data, 16, 4311–4323, https://doi.org/10.5194/essd-16-4311-2024, https://doi.org/10.5194/essd-16-4311-2024, 2024
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Global water resource monitoring is crucial due to climate change and population growth. This study presents a hand-labeled dataset of 100 PlanetScope images for surface water detection, spanning diverse biomes. We use this dataset to evaluate two state-of-the-art mapping methods. Results highlight performance variations across biomes, emphasizing the need for diverse, independent validation datasets to enhance the accuracy and reliability of satellite-based surface water monitoring techniques.
Giulia Evangelista, Paola Mazzoglio, Daniele Ganora, Francesca Pianigiani, and Pierluigi Claps
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-387, https://doi.org/10.5194/essd-2024-387, 2024
Revised manuscript accepted for ESSD
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This paper presents the first comprehensive dataset of 528 Large Dams in Italy. It contains structural characteristics of the dams, such as coordinates, reservoir surface area and volume, together with a range of geomorphological, climatological, extreme rainfall, land cover and soil-related attributes of their upstream catchments.
Lei Huang, Yong Luo, Jing M. Chen, Qiuhong Tang, Tammo Steenhuis, Wei Cheng, and Wen Shi
Earth Syst. Sci. Data, 16, 3993–4019, https://doi.org/10.5194/essd-16-3993-2024, https://doi.org/10.5194/essd-16-3993-2024, 2024
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Timely global terrestrial evapotranspiration (ET) data are crucial for water resource management and drought forecasting. This study introduces the VISEA algorithm, which integrates satellite data and shortwave radiation to provide daily 0.05° gridded near-real-time ET estimates. By employing a vegetation index–temperature method, this algorithm can estimate ET without requiring additional data. Evaluation results demonstrate VISEA's comparable accuracy with accelerated data availability.
Sibylle Kathrin Hassler, Rafael Bohn Reckziegel, Ben du Toit, Svenja Hoffmeister, Florian Kestel, Anton Kunneke, Rebekka Maier, and Jonathan Paul Sheppard
Earth Syst. Sci. Data, 16, 3935–3948, https://doi.org/10.5194/essd-16-3935-2024, https://doi.org/10.5194/essd-16-3935-2024, 2024
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Agroforestry systems (AFSs) combine trees and crops within the same land unit, providing a sustainable land use option which protects natural resources and biodiversity. Introducing trees into agricultural systems can positively affect water resources, soil characteristics, biomass and microclimate. We studied an AFS in South Africa in a multidisciplinary approach to assess the different influences and present the resulting dataset consisting of water, soil, tree and meteorological variables.
Keirnan J. A. Fowler, Ziqi Zhang, and Xue Hou
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-263, https://doi.org/10.5194/essd-2024-263, 2024
Revised manuscript accepted for ESSD
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This paper presents Version 2 of the Australian edition of the Catchment Attributes and Meteorology for Large-sample Studies (CAMELS) series of datasets. CAMELS-AUS v2 comprises data for an increased number (561) of catchments, each with with long-term monitoring, combining hydrometeorological time series with attributes related to geology, soil, topography, land cover, anthropogenic influence and hydroclimatology. It is freely downloadable from https://zenodo.org/doi/10.5281/zenodo.12575680.
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We present the temporal data of stable isotopes in different waterbodies in the Beiluhe Basin in the hinterland of the Qinghai–Tibet Plateau (QTP) produced between 2017 and 2022. In this article, the first detailed stable isotope data of 359 ground ice samples are presented. This first data set provides a new basis for understanding the hydrological effects of permafrost degradation on the QTP.
Pragnaditya Malakar, Aatish Anshuman, Mukesh Kumar, Georgios Boumis, T. Prabhakar Clement, Arik Tashie, Hitesh Thakur, Nagaraj Bhat, and Lokendra Rathore
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-324, https://doi.org/10.5194/essd-2024-324, 2024
Revised manuscript accepted for ESSD
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Groundwater dynamics depend on groundwater recharge, but daily benchmark data of recharge is scarce. Here we present a daily groundwater recharge per unit specified yield (RpSy) data at 485 US groundwater monitoring wells. RpSy can be used to validate temporal consistency of recharge products from land surface and hydrologic models and facilitate assessment of recharge-driver functional relationships in them.
Jun Liu, Julian Koch, Simon Stisen, Lars Troldborg, Anker Lajer Højberg, Hans Thodsen, Mark F. T. Hansen, and Raphael J. M. Schneider
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-292, https://doi.org/10.5194/essd-2024-292, 2024
Revised manuscript accepted for ESSD
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We developed a CAMELS-style dataset in Denmark, which contains hydrometeorological time series and landscape attributes for 3,330 catchments. Many of the catchments in CAMELS-DK are small and located at low elevations. The dataset provides information on groundwater characteristics and dynamics, as well as quantities related to human impact on the hydrological system in Denmark. The dataset is especially relevant for developing data-driven and hybrid physically-informed modeling frameworks.
Bernhard Lehner, Mira Anand, Etienne Fluet-Chouinard, Florence Tan, Filipe Aires, George H. Allen, Pilippe Bousquet, Josep G. Canadell, Nick Davidson, C. Max Finlayson, Thomas Gumbricht, Lammert Hilarides, Gustaf Hugelius, Robert B. Jackson, Maartje C. Korver, Peter B. McIntyre, Szabolcs Nagy, David Olefeldt, Tamlin M. Pavelsky, Jean-Francois Pekel, Benjamin Poulter, Catherine Prigent, Jida Wang, Thomas A. Worthington, Dai Yamazaki, and Michele Thieme
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-204, https://doi.org/10.5194/essd-2024-204, 2024
Revised manuscript accepted for ESSD
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The Global Lakes and Wetlands Database (GLWD) version 2 distinguishes a total of 33 non-overlapping wetland classes, providing a static map of the world’s inland surface waters. It contains cell fractions of wetland extents per class at a grid cell resolution of ~500 m. The total combined extent of all classes including all inland and coastal waterbodies and wetlands of all inundation frequencies—that is, the maximum extent—covers 18.2 million km2, equivalent to 13.4 % of total global land area.
Yueli Chen, Yun Xie, Xingwu Duan, and Minghu Ding
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-195, https://doi.org/10.5194/essd-2024-195, 2024
Revised manuscript accepted for ESSD
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Rainfall erosivity map is crucial for identifying key areas of water erosion. Due to the limited historical precipitation data, there are certain biases in rainfall erosivity estimates in China. This study develops a new rainfall erosivity map for mainland China using 1-minute precipitation data from 60,129 weather stations, revealing that areas exceeding 4000 MJ·mm·ha−1·h−1·yr−1 of annual rainfall erosivity mainly concentrated in the southern China and southern Tibetan Plateau.
Hordur Bragi Helgason and Bart Nijssen
Earth Syst. Sci. Data, 16, 2741–2771, https://doi.org/10.5194/essd-16-2741-2024, https://doi.org/10.5194/essd-16-2741-2024, 2024
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LamaH-Ice is a large-sample hydrology (LSH) dataset for Iceland. The dataset includes daily and hourly hydro-meteorological time series, including observed streamflow and basin characteristics, for 107 basins. LamaH-Ice offers most variables that are included in existing LSH datasets and additional information relevant to cold-region hydrology such as annual time series of glacier extent and mass balance. A large majority of the basins in LamaH-Ice are unaffected by human activities.
Chengcheng Hou, Yan Li, Shan Sang, Xu Zhao, Yanxu Liu, Yinglu Liu, and Fang Zhao
Earth Syst. Sci. Data, 16, 2449–2464, https://doi.org/10.5194/essd-16-2449-2024, https://doi.org/10.5194/essd-16-2449-2024, 2024
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To fill the gap in the gridded industrial water withdrawal (IWW) data in China, we developed the China Industrial Water Withdrawal (CIWW) dataset, which provides monthly IWWs from 1965 to 2020 at a spatial resolution of 0.1°/0.25° and auxiliary data including subsectoral IWW and industrial output value in 2008. This dataset can help understand the human water use dynamics and support studies in hydrology, geography, sustainability sciences, and water resource management and allocation in China.
Nehar Mandal, Prabal Das, and Kironmala Chanda
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-109, https://doi.org/10.5194/essd-2024-109, 2024
Revised manuscript accepted for ESSD
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Optimal features among hydroclimatic variables and land surface model (LSM) outputs are selected using a novel Bayesian network (BN) approach for simulating Terrestrial Water Storage Anomalies (TWSA). TWSA is simulated using ML models (CNN, SVR, ETR, and Stacking Ensemble Regression), and gridwise leader models are identified globally. TWSA is reconstructed (BNML_TWSA) with the selected leader models from January 1960 to December 2022 to generate a continuous global gridded dataset.
Pierre-Antoine Versini, Leydy Alejandra Castellanos-Diaz, David Ramier, and Ioulia Tchiguirinskaia
Earth Syst. Sci. Data, 16, 2351–2366, https://doi.org/10.5194/essd-16-2351-2024, https://doi.org/10.5194/essd-16-2351-2024, 2024
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Nature-based solutions (NBSs), such as green roofs, have appeared as relevant solutions to mitigate urban heat islands. The evapotranspiration (ET) process allows NBSs to cool the air. To improve our knowledge about ET assessment, this paper presents some experimental measurement campaigns carried out during three consecutive summers. Data are available for three different (large, small, and point-based) spatial scales.
Ralph Bathelemy, Pierre Brigode, Vazken Andréassian, Charles Perrin, Vincent Moron, Cédric Gaucherel, Emmanuel Tric, and Dominique Boisson
Earth Syst. Sci. Data, 16, 2073–2098, https://doi.org/10.5194/essd-16-2073-2024, https://doi.org/10.5194/essd-16-2073-2024, 2024
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The aim of this work is to provide the first hydroclimatic database for Haiti, a Caribbean country particularly vulnerable to meteorological and hydrological hazards. The resulting database, named Simbi, provides hydroclimatic time series for around 150 stations and 24 catchment areas.
Changming Li, Ziwei Liu, Wencong Yang, Zhuoyi Tu, Juntai Han, Sien Li, and Hanbo Yang
Earth Syst. Sci. Data, 16, 1811–1846, https://doi.org/10.5194/essd-16-1811-2024, https://doi.org/10.5194/essd-16-1811-2024, 2024
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Using a collocation-based approach, we developed a reliable global land evapotranspiration product (CAMELE) by merging multi-source datasets. The CAMELE product outperformed individual input datasets and showed satisfactory performance compared to reference data. It also demonstrated superiority for different plant functional types. Our study provides a promising solution for data fusion. The CAMELE dataset allows for detailed research and a better understanding of land–atmosphere interactions.
Yuhan Guo, Hongxing Zheng, Yuting Yang, Yanfang Sang, and Congcong Wen
Earth Syst. Sci. Data, 16, 1651–1665, https://doi.org/10.5194/essd-16-1651-2024, https://doi.org/10.5194/essd-16-1651-2024, 2024
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We have provided an inaugural version of the hydrogeomorphic dataset for catchments over the Tibetan Plateau. We first provide the width-function-based instantaneous unit hydrograph (WFIUH) for each HydroBASINS catchment, which can be used to investigate the spatial heterogeneity of hydrological behavior across the Tibetan Plateau. It is expected to facilitate hydrological modeling across the Tibetan Plateau.
Chang Liao, Darren Engwirda, Matthew Cooper, Mingke Li, and Yilin Fang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-398, https://doi.org/10.5194/essd-2023-398, 2024
Revised manuscript accepted for ESSD
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Discrete Global Grid systems, or DGGs, are digital frameworks that help us organize information about our planet. Although scientists have used DGGs in areas like weather and nature, using them in the water cycle has been challenging because some core datasets are missing. We created a way to generate these datasets. We then developed the datasets in the Amazon Basin, which plays an important role in our planet's climate. These datasets may help us improve our water cycle models.
Lingbo Li, Hong-Yi Li, Guta Abeshu, Jinyun Tang, L. Ruby Leung, Chang Liao, Zeli Tan, Hanqin Tian, Peter Thornton, and Xiaojuan Yang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-43, https://doi.org/10.5194/essd-2024-43, 2024
Revised manuscript accepted for ESSD
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We have developed a new map that reveals how organic carbon from soil leaches into headwater streams over the contiguous United States. We use advanced artificial intelligence techniques and a massive amount of data, including observations at over 2,500 gauges and a wealth of climate and environmental information. The map is a critical step in understanding and predicting how carbon moves through our environment, hence a useful tool for tackling climate challenges.
Ziyun Yin, Peirong Lin, Ryan Riggs, George H. Allen, Xiangyong Lei, Ziyan Zheng, and Siyu Cai
Earth Syst. Sci. Data, 16, 1559–1587, https://doi.org/10.5194/essd-16-1559-2024, https://doi.org/10.5194/essd-16-1559-2024, 2024
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Large-sample hydrology (LSH) datasets have been the backbone of hydrological model parameter estimation and data-driven machine learning models for hydrological processes. This study complements existing LSH studies by creating a dataset with improved sample coverage, uncertainty estimates, and dynamic descriptions of human activities, which are all crucial to hydrological understanding and modeling.
Pierluigi Claps, Giulia Evangelista, Daniele Ganora, Paola Mazzoglio, and Irene Monforte
Earth Syst. Sci. Data, 16, 1503–1522, https://doi.org/10.5194/essd-16-1503-2024, https://doi.org/10.5194/essd-16-1503-2024, 2024
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FOCA (Italian FlOod and Catchment Atlas) is the first systematic collection of data on Italian river catchments. It comprises geomorphological, soil, land cover, NDVI, climatological and extreme rainfall catchment attributes. FOCA also contains 631 peak and daily discharge time series covering the 1911–2016 period. Using this first nationwide data collection, a wide range of applications, in particular flood studies, can be undertaken within the Italian territory.
Wei Jing Ang, Edward Park, Yadu Pokhrel, Dung Duc Tran, and Ho Huu Loc
Earth Syst. Sci. Data, 16, 1209–1228, https://doi.org/10.5194/essd-16-1209-2024, https://doi.org/10.5194/essd-16-1209-2024, 2024
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Dams have burgeoned in the Mekong, but information on dams is scattered and inconsistent. Up-to-date evaluation of dams is unavailable, and basin-wide hydropower potential has yet to be systematically assessed. We present a comprehensive database of 1055 dams, a spatiotemporal analysis of the dams, and a total hydropower potential of 1 334 683 MW. Considering projected dam development and hydropower potential, the vulnerability and the need for better dam management may be highest in Laos.
Chuanqi He, Ci-Jian Yang, Jens M. Turowski, Richard F. Ott, Jean Braun, Hui Tang, Shadi Ghantous, Xiaoping Yuan, and Gaia Stucky de Quay
Earth Syst. Sci. Data, 16, 1151–1166, https://doi.org/10.5194/essd-16-1151-2024, https://doi.org/10.5194/essd-16-1151-2024, 2024
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The shape of drainage basins and rivers holds significant implications for landscape evolution processes and dynamics. We used a global 90 m resolution topography to obtain ~0.7 million drainage basins with sizes over 50 km2. Our dataset contains the spatial distribution of drainage systems and their morphological parameters, supporting fields such as geomorphology, climatology, biology, ecology, hydrology, and natural hazards.
Jingyu Lin, Peng Wang, Jinzhu Wang, Youping Zhou, Xudong Zhou, Pan Yang, Hao Zhang, Yanpeng Cai, and Zhifeng Yang
Earth Syst. Sci. Data, 16, 1137–1149, https://doi.org/10.5194/essd-16-1137-2024, https://doi.org/10.5194/essd-16-1137-2024, 2024
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Our paper provides a repository comprising over 330 000 observations encompassing daily, weekly, and monthly records of surface water quality spanning the period 1980–2022. It included 18 distinct indicators, meticulously gathered at 2384 monitoring sites, ranging from inland locations to coastal and oceanic areas. This dataset will be very useful for researchers and decision-makers in the fields of hydrology, ecological studies, climate change, policy development, and oceanography.
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.
Cited articles
Agência Nacional de Águas (ANA): Atlas Esgotos: Despoluição
de bacias hidrográficas [data set], available at: https://metadados.snirh.gov.br/geonetwork/srv/por/catalog.search#/metadata/1d8cea87-3d7b-49ff-86b8-966d96c9eb01 (last access: September 2019), 2017.
Anderson, P. D., D'Aco, V. J., Shanahan, P., Chapra, S. C., Buzby, M. E.,
Cunningham, V. L., DuPlessie, B. M., Hayes, E. P., Mastrocco, F. J., Parke,
N. J., Rader, J. C., Samuelian, J. H., and Schwab, B. W.: Screening Analysis
of Human Pharmaceutical Compounds in U.S. Surface Waters, Environ. Sci.
Technol., 38, 838–849, https://doi.org/10.1021/es034430b, 2004.
Beusen, A. H. W., Van Beek, L. P. H., Bouwman, A. F., Mogollón, J. M., and Middelburg, J. J.: Coupling global models for hydrology and nutrient loading to simulate nitrogen and phosphorus retention in surface water – description of IMAGE–GNM and analysis of performance, Geosci. Model Dev., 8, 4045–4067, https://doi.org/10.5194/gmd-8-4045-2015, 2015.
Bunzel, K., Kattwinkel, M., and Liess, M.: Effects of organic pollutants
from wastewater treatment plants on aquatic invertebrate communities, Water
Res., 47, 597–606, https://doi.org/10.1016/j.watres.2012.10.031, 2013.
Central Pollution Control Board (CPCB): Inventorization of Sewage Treatment
Plants, available at:
http://nrcd.nic.in/writereaddata/FileUpload/NewItem_210_Inventorization_of_Sewage-Treatment_Plant.pdf (last access: October 2019), 2015.
Comisión Nacional del Agua (CONAGUA): Plantas de tratamiento de agua
residual (nacional), SINA [data set], available at:
http://sina.conagua.gob.mx/sina/tema.php?tema=plantasTratamiento (last
access: October 2019), 2018.
Daughton, C. G.: Real-time estimation of small-area populations with human
biomarkers in sewage, Sci. Total Environ., 414, 6–21, https://doi.org/10.1016/j.scitotenv.2011.11.015, 2012.
Daughton, C. G. and Ternes, T. A.: Pharmaceuticals and personal care
products in the environment: agents of subtle change?, Environ. Health
Perspect., 107, 907–938, https://doi.org/10.1289/ehp.99107s6907, 1999.
Department of Water and Sanitation (DWS): National Integrated Water Information System, available at: https://www.dws.gov.za/niwis2, last access: October 2019.
Dumont, E., Johnson, A. C., Keller, V. D. J., and Williams, R. J.: Nano
silver and nano zinc-oxide in surface waters – Exposure estimation for
Europe at high spatial and temporal resolution, Environ. Pollut., 196,
341–349, https://doi.org/10.1016/j.envpol.2014.10.022, 2015.
Ehalt Macedo, H., Lehner, B., Nicell, J., Grill, G., Li, J., Limtong, A.,
and Shakya, R.: HydroWASTE version 1.0., figshare [dataset], https://doi.org/10.6084/m9.figshare.14847786.v1, 2021.
Environment Canada: Wastewater Systems Effluent Regulations, WSER [data
set], available at:
https://www.canada.ca/en/environment-climate-change/services/wastewater/publications/wastewater-data-reports.html (last access: October 2019), 2017.
Environmental Medicines Agency (EMA): Guideline on the environmental risk
assessment of medicinal products for human use: available at:
https://www.ema.europa.eu/en/environmental-risk-assessment-medicinal-products-human-use#current-version-section (last access: December 2019), 2006.
European Environment Agency (EEA): Waterbase-UWWTD: Urban Waste Water
Treatment Directive – reported data, EEA [data set], available at:
https://www.eea.europa.eu/data-and-maps/data/waterbase-uwwtd-urban-waste-water-treatment-directive-6 (last access: October 2019), 2017.
Food and Agriculture Organization of the United Nations (FAO): AQUASTAT
Core Database, available at: https://www.fao.org/aquastat/en/databases/maindatabase/ (last access: October 2019), 2016.
Font, C., Bregoli, F., Acuña, V., Sabater, S., and Marcé, R.: GLOBAL-FATE (version 1.0.0): A geographical information system (GIS)-based model for assessing contaminants fate in the global river network, Geosci. Model Dev., 12, 5213–5228, https://doi.org/10.5194/gmd-12-5213-2019, 2019.
Grill, G., Khan, U., Lehner, B., Nicell, J., and Ariwi, J.: Risk assessment
of down-the-drain chemicals at large spatial scales: Model development and
application to contaminants originating from urban areas in the Saint
Lawrence River Basin, Sci. Total Environ., 541, 825–838, https://doi.org/10.1016/j.scitotenv.2015.09.100, 2016.
Grill, G., Li, J., Khan, U., Zhong, Y., Lehner, B., Nicell, J., and Ariwi,
J.: Estimating the eco-toxicological risk of estrogens in China's rivers
using a high-resolution contaminant fate model, Water Res., 145, 707–720,
https://doi.org/10.1016/j.watres.2018.08.053, 2018.
Grill, G., Lehner, B., Thieme, M., Geenen, B., Tickner, D., Antonelli, F.,
Babu, S., Borrelli, P., Cheng, L., Crochetiere, H., Ehalt Macedo, H.,
Filgueiras, R., Goichot, M., Higgins, J., Hogan, Z., Lip, B., McClain, M.
E., Meng, J., Mulligan, M., Nilsson, C., Olden, J. D., Opperman, J. J.,
Petry, P., Reidy Liermann, C., Sáenz, L., Salinas-Rodríguez, S.,
Schelle, P., Schmitt, R. J. P., Snider, J., Tan, F., Tockner, K., Valdujo,
P. H., van Soesbergen, A., and Zarfl, C.: Mapping the world's free-flowing
rivers, Nature, 569, 215–221, https://doi.org/10.1038/s41586-019-1111-9, 2019.
Herrera, V.: Reconciling global aspirations and local realities: Challenges
facing the Sustainable Development Goals for water and sanitation, World
Dev., 118, 106–117, https://doi.org/10.1016/j.worlddev.2019.02.009, 2019.
Hill, R., Carter, L., and Kay, R.: Wastewater Treatment Facilities,
Geoscience Australia [data set], https://doi.org/10.4225/25/543B53F92E643, 2012.
Hofstra, N., Bouwman, A. F., Beusen, A. H. W., and Medema, G. J.: Exploring
global Cryptosporidium emissions to surface water, Sci. Total Environ., 442,
10–19, https://doi.org/10.1016/j.scitotenv.2012.10.013, 2013.
Jones, E. R., van Vliet, M. T. H., Qadir, M., and Bierkens, M. F. P.: Country-level and gridded estimates of wastewater production, collection, treatment and reuse, Earth Syst. Sci. Data, 13, 237–254, https://doi.org/10.5194/essd-13-237-2021, 2021.
Kapo, K. E., DeLeo, P. C., Vamshi, R., Holmes, C. M., Ferrer, D., Dyer, S.
D., Wang, X., and White-Hull, C.: iSTREEM®: An approach for
broad-scale in-stream exposure assessment of “down-the-drain” chemicals,
Integr. Environ. Assess. Manage., 12, 782–792, https://doi.org/10.1002/ieam.1793, 2016.
Keller, V. D. J., Williams, R. J., Lofthouse, C., and Johnson, A. C.:
Worldwide estimation of river concentrations of any chemical originating
from sewage-treatment plants using dilution factors, Environ. Toxicol.
Chem., 33, 447–452, https://doi.org/10.1002/etc.2441, 2014.
Kroeze, C., Gabbert, S., Hofstra, N., Koelmans, A. A., Li, A., Löhr, A.,
Ludwig, F., Strokal, M., Verburg, C., Vermeulen, L., van Vliet, M. T. H., de
Vries, W., Wang, M., and van Wijnen, J.: Global modelling of surface water
quality: a multi-pollutant approach, Curr. Opin. Env. Sust., 23, 35–45, https://doi.org/10.1016/j.cosust.2016.11.014, 2016.
Lehner, B. and Grill, G.: Global river hydrography and network routing:
baseline data and new approaches to study the world's large river systems,
Hydrol. Process., 27, 2171–2186, https://doi.org/10.1002/hyp.9740, 2013.
Lehner, B., Verdin, K., and Jarvis, A.: New global hydrography derived from
spaceborne elevation data, Eos, 89, 93–94, https://doi.org/10.1029/2008EO100001, 2008.
Link, M., von der Ohe, P. C., Voß, K., and Schäfer, R. B.:
Comparison of dilution factors for German wastewater treatment plant
effluents in receiving streams to the fixed dilution factor from chemical
risk assessment, Sci. Total Environ., 598, 805–813, https://doi.org/10.1016/j.scitotenv.2017.04.180, 2017.
Linke, S., Lehner, B., Ouellet Dallaire, C., Ariwi, J., Grill, G., Anand,
M., Beames, P., Burchard-Levine, V., Maxwell, S., Moidu, H., Tan, F., and
Thieme, M.: Global hydro-environmental sub-basin and river reach
characteristics at high spatial resolution, Sci. Data, 6, 283, https://doi.org/10.1038/s41597-019-0300-6, 2019.
Mayorga, E., Seitzinger, S. P., Harrison, J. A., Dumont, E., Beusen, A. H.
W., Bouwman, A. F., Fekete, B. M., Kroeze, C., and Van Drecht, G.: Global
Nutrient Export from WaterSheds 2 (NEWS 2): Model development and
implementation, Environ. Modell. Softw., 25, 837–853, https://doi.org/10.1016/j.envsoft.2010.01.007, 2010.
Messager, M. L., Lehner, B., Grill, G., Nedeva, I., and Schmitt, O.:
Estimating the volume and age of water stored in global lakes using a
geo-statistical approach, Nat. Commun., 7, 13603, https://doi.org/10.1038/ncomms13603, 2016.
Müller Schmied, H., Eisner, S., Franz, D., Wattenbach, M., Portmann, F. T., Flörke, M., and Döll, P.: Sensitivity of simulated global-scale freshwater fluxes and storages to input data, hydrological model structure, human water use and calibration, Hydrol. Earth Syst. Sci., 18, 3511–3538, https://doi.org/10.5194/hess-18-3511-2014, 2014.
Munz, N. A., Burdon, F. J., de Zwart, D., Junghans, M., Melo, L., Reyes, M.,
Schönenberger, U., Singer, H. P., Spycher, B., Hollender, J., and Stamm,
C.: Pesticides drive risk of micropollutants in wastewater-impacted streams
during low flow conditions, Water Res., 110, 366–377, https://doi.org/10.1016/j.watres.2016.11.001, 2017.
Musolff, A., Leschik, S., Reinstorf, F., Strauch, G., and Schirmer, M.: Assessing emerging
contaminants – Case study of the city of Leipzig, Germany, IAHS-AISH
P., 178–185, 2008.
Nakada, N., Hanamoto, S., Jürgens, M. D., Johnson, A. C., Bowes, M. J.,
and Tanaka, H.: Assessing the population equivalent and performance of
wastewater treatment through the ratios of pharmaceuticals and personal care
products present in a river basin: Application to the River Thames basin,
UK, Sci. Total Environ., 575, 1100–1108, https://doi.org/10.1016/j.scitotenv.2016.09.180, 2017.
Neale, P. A., Munz, N. A., Aït-Aïssa, S., Altenburger, R., Brion, F., Busch,
W., Escher, B. I., Hilscherová, K., Kienle, C., Novák, J., Seiler,
T.-B., Shao, Y., Stamm, C., and Hollender, J.: Integrating chemical analysis
and bioanalysis to evaluate the contribution of wastewater effluent on the
micropollutant burden in small streams, Sci. Total Environ., 576, 785–795,
https://doi.org/10.1016/j.scitotenv.2016.10.141, 2017.
O'Brien, J. W., Thai, P. K., Eaglesham, G., Ort, C., Scheidegger, A.,
Carter, S., Lai, F. Y., and Mueller, J. F.: A Model to Estimate the
Population Contributing to the Wastewater Using Samples Collected on Census
Day, Environ. Sci. Technol., 48, 517–525, https://doi.org/10.1021/es403251g, 2014.
Oldenkamp, R., Hoeks, S., Čengić, M., Barbarossa, V., Burns, E. E.,
Boxall, A. B. A., and Ragas, A. M. J.: A High-Resolution Spatial Model to
Predict Exposure to Pharmaceuticals in European Surface Waters: ePiE,
Environ. Sci. Technol., 52, 12494–12503, https://doi.org/10.1021/acs.est.8b03862, 2018.
Rice, J. and Westerhoff, P.: Spatial and Temporal Variation in De Facto
Wastewater Reuse in Drinking Water Systems across the U.S.A, Environ. Sci.
Technol., 49, 982–989, https://doi.org/10.1021/es5048057, 2015.
Rice, J. and Westerhoff, P.: High levels of endocrine pollutants in US
streams during low flow due to insufficient wastewater dilution, Nat.
Geosci., 10, 587–591, https://doi.org/10.1038/ngeo2984, 2017.
Richter, B. D., Postel, S., Revenga, C., Scudder, T., Lehner, B., Churchill,
A., and Chow, M. J. W.: Lost in development's shadow: The downstream
human consequences of dams, Water Altern., 3, 14–42, 2010.
Strokal, M., Spanier, J. E., Kroeze, C., Koelmans, A. A., Flörke, M.,
Franssen, W., Hofstra, N., Langan, S., Tang, T., van Vliet, M. T. H., Wada,
Y., Wang, M., van Wijnen, J., and Williams, R.: Global multi-pollutant
modelling of water quality: scientific challenges and future directions,
Curr. Opin. Env. Sust., 36, 116–125, https://doi.org/10.1016/j.cosust.2018.11.004, 2019.
Superintendencia Nacional de Servicios de Saneamiento (SUNASS): Plantas de
Tratamiento de Agua Residual, GEOSUNASS [data set], available at:
https://geosunass.sunass.gob.pe/geoportal/sunass/home/index (last access: October 2019), 2018.
Tang, T., Strokal, M., van Vliet, M. T. H., Seuntjens, P., Burek, P.,
Kroeze, C., Langan, S., and Wada, Y.: Bridging global, basin and local-scale
water quality modeling towards enhancing water quality management worldwide,
Curr. Opin. Env. Sust., 36, 39–48, https://doi.org/10.1016/j.cosust.2018.10.004, 2019.
Tatem, A. J.: WorldPop, open data for spatial demography, Sci. Data,
4, 170004, https://doi.org/10.1038/sdata.2017.4, 2017.
Thiebault, T., Alliot, F., Berthe, T., Blanchoud, H., Petit, F., and Guigon,
E.: Record of trace organic contaminants in a river sediment core: From
historical wastewater management to historical use, Sci. Total Environ.,
773, 145694, https://doi.org/10.1016/j.scitotenv.2021.145694, 2021.
United Nations Environment Programme (UNEP): A Snapshot of the World's Water
Quality: Towards a global assessment, United Nations Environment Programme, Nairobi, Kenya, 162 pp., 2016.
United Nations Environment Programme – World Conservation Monitoring Centre (UNEP–WCMC) and International Union for Conservation of Nature (IUCN):
Protected Planet: The World Database on Protected Areas (WDPA), available at: https://www.iucn.org/theme/protected-areas/our-work/quality-and-effectiveness/world-database-protected-areas-wdpa, last access: January 2021.
United States Environmental Protection Agency (US EPA): Clean Watersheds
Needs Survey, EPA [data set], available at: https://www.epa.gov/cwns (last access:
December 2019), 2016.
Van Drecht, G., Bouwman, A. F., Harrison, J., and Knoop, J. M.: Global
nitrogen and phosphate in urban wastewater for the period 1970 to 2050,
Global Biogeochem. Cycles, 23, GB0A03, https://doi.org/10.1029/2009gb003458, 2009.
van Vliet, M. T. H., Flörke, M., Harrison, J. A., Hofstra, N., Keller,
V., Ludwig, F., Spanier, J. E., Strokal, M., Wada, Y., Wen, Y., and
Williams, R. J.: Model inter-comparison design for large-scale water quality
models, Curr. Opin. Env. Sust., 36, 59–67, https://doi.org/10.1016/j.cosust.2018.10.013, 2019.
van Vliet, M. T. H., Jones, E. R., Flörke, M., Franssen, W. H. P.,
Hanasaki, N., Wada, Y., and Yearsley, J. R.: Global water scarcity including
surface water quality and expansions of clean water technologies,
Environ. Res. Lett., 16, 024020, https://doi.org/10.1088/1748-9326/abbfc3,
2021.
Vigiak, O., Grizzetti, B., Zanni, M., Aloe, A., Dorati, C., Bouraoui, F.,
and Pistocchi, A.: Domestic waste emissions to European waters in the 2010s,
Sci. Data, 7, 33, https://doi.org/10.1038/s41597-020-0367-0, 2020.
Water New Zealand: New Zealand Wastewater Treatment Plant Inventory, WWTP [data set], available at: https://www.waternz.org.nz/WWTPInventory, last access: October 2019.
Williams, R., Keller, V., Voß, A., Bärlund, I., Malve, O.,
Riihimäki, J., Tattari, S., and Alcamo, J.: Assessment of current water
pollution loads in Europe: estimation of gridded loads for use in global
water quality models, Hydrol. Process., 26, 2395–2410, https://doi.org/10.1002/hyp.9427, 2012.
World Bank: Gross National Income (GNI) per capita, Atlas method, available at: https://datahelpdesk.worldbank.org/knowledgebase/articles/906519-world-bank-country-and-lending-groups,
last access: December 2019.
World Health Organization (WHO) and United Nations Habitat (UN Habitat):
Progress on safe treatment and use of wastewater: piloting the monitoring
methodology and initial findings for SDG indicator 6.3.1, WHO and UN-Habitat, Geneva, Switzerland, 40 pp., ISBN 978-9241514897, 2018.
World Health Organization(WHO) and United Nations Children's Fund (UNICEF): Joint Monitoring Programme (JMP) for water supply and sanitation
(WASH), available at: https://washdata.org/, last access: December 2019.
World Health Organization (WHO) and United Nations Children's Fund (UNICEF): Progress on household drinking water, sanitation and hygiene
2000–2020: five years into the SDGs, WHO and UNICEF, Geneva, Switzerland, 164 pp., ISBN (WHO) 978-9240030848, 2021.
WorldPop and Center for International Earth Science Information Network (CIESIN): Global High Resolution Population Denominators Project, https://doi.org/10.5258/SOTON/WP00647, 2018.
Short summary
We introduce HydroWASTE, a spatially explicit global database of 58 502 wastewater treatment plants (WWTPs) and their characteristics to understand the impact of discharges from such facilities. HydroWASTE was developed by compiling regional datasets and using auxiliary information to complete missing characteristics. The location of the outfall of the WWTPs into the river system is also included, allowing for the identification of the waterbodies most likely affected.
We introduce HydroWASTE, a spatially explicit global database of 58 502 wastewater treatment...
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