Articles | Volume 13, issue 4
https://doi.org/10.5194/essd-13-1593-2021
© 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-13-1593-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
15 Apr 2021
Data description paper |
| 15 Apr 2021
| 15 Apr 2021
SoilKsatDB: global database of soil saturated hydraulic conductivity measurements for geoscience applications
Soil and Terrestrial Environmental Physics, Department of Environmental Systems Science, ETH, Zürich, Switzerland
Tomislav Hengl
OpenGeoHub foundation, Wageningen, the Netherlands
EnvirometriX, Wageningen, the Netherlands
Peter Lehmann
Soil and Terrestrial Environmental Physics, Department of Environmental Systems Science, ETH, Zürich, Switzerland
Sara Bonetti
Institute for Sustainable Resources, Bartlett School of Environment, Energy and Resources, University College London, London, UK
Soil Physics and Land Management Group, Wageningen University, Wageningen, the Netherlands
Soil and Terrestrial Environmental Physics, Department of Environmental Systems Science, ETH, Zürich, Switzerland
Division of Hydrologic Sciences, Desert Research Institute, Reno, NV, USA
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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.
Kaihao Zheng, Peirong Lin, and Ziyun Yin
Earth Syst. Sci. Data, 16, 3873–3891, https://doi.org/10.5194/essd-16-3873-2024, https://doi.org/10.5194/essd-16-3873-2024, 2024
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We develop a globally applicable thresholding scheme for DEM-based floodplain delineation to improve the representation of spatial heterogeneity. It involves a stepwise approach to estimate the basin-level floodplain hydraulic geometry parameters that best respect the scaling law while approximating the global hydrodynamic flood maps. A ~90 m resolution global floodplain map, the Spatial Heterogeneity Improved Floodplain by Terrain analysis (SHIFT), is delineated with demonstrated superiority.
Yuzhong Yang, Qingbai Wu, Xiaoyan Guo, Lu Zhou, Helin Yao, Dandan Zhang, Zhongqiong Zhang, Ji Chen, and Guojun Liu
Earth Syst. Sci. Data, 16, 3755–3770, https://doi.org/10.5194/essd-16-3755-2024, https://doi.org/10.5194/essd-16-3755-2024, 2024
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We present the temporal data of stable isotopes in different waterbodies in the Beiluhe Basin in the hinterland of the Qinghai–Tibet Plateau (QTP) produced between 2017 and 2022. In this article, the first detailed stable isotope data of 359 ground ice samples are presented. This first data set provides a new basis for understanding the hydrological effects of permafrost degradation on the QTP.
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.
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.
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.
Aloïs Tilloy, Dominik Paprotny, Stefania Grimaldi, Goncalo Gomes, Alessandra Bianchi, Stefan Lange, Hylke Beck, and Luc Feyen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-41, https://doi.org/10.5194/essd-2024-41, 2024
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This article presents a reanalysis of Europe's rivers streamflow for the period 1950–2020, using a state-of-the-art hydrological simulation framework. The dataset, called HERA (Hydrological European ReAnalysis), uses detailed information about the landscape, climate, and human activities to estimate river flow. HERA can be a valuable tool for studying hydrological dynamics, including the impacts of climate change and human activities on European water resources, flood and drought risks.
Daniel Kovacek and Steven Weijs
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-508, https://doi.org/10.5194/essd-2023-508, 2024
Revised manuscript accepted for ESSD
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We made a dataset for British Columbia describing the terrain, soil, land cover, and climate of over 1 million watersheds. The attributes are often used in hydrology because they are related to the water cycle. The data is meant to be used for water resources problems that can benefit from lots of basins and their attributes. The data and instructions needed to build the dataset from scratch are freely available. The permanent home for the data is https://doi.org/10.5683/SP3/JNKZVT.
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.
Emma L. Robinson, Matthew J. Brown, Alison L. Kay, Rosanna A. Lane, Rhian Chapman, Victoria A. Bell, and Eleanor M. Blyth
Earth Syst. Sci. Data, 15, 4433–4461, https://doi.org/10.5194/essd-15-4433-2023, https://doi.org/10.5194/essd-15-4433-2023, 2023
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This work presents two new Penman–Monteith potential evaporation datasets for the UK, calculated with the same methodology applied to historical climate data (Hydro-PE HadUK-Grid) and an ensemble of future climate projections (Hydro-PE UKCP18 RCM). Both include an optional correction for evaporation of rain that lands on the surface of vegetation. The historical data are consistent with existing PE datasets, and the future projections include effects of rising atmospheric CO2 on vegetation.
Xinyu Chen, Liguang Jiang, Yuning Luo, and Junguo Liu
Earth Syst. Sci. Data, 15, 4463–4479, https://doi.org/10.5194/essd-15-4463-2023, https://doi.org/10.5194/essd-15-4463-2023, 2023
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River flow is experiencing changes under the impacts of climate change and human activities. For example, flood events are occurring more often and are more destructive in many places worldwide. To deal with such issues, hydrologists endeavor to understand the features of extreme events as well as other hydrological changes. One key approach is analyzing flow characteristics, represented by hydrological indices. Building such a comprehensive global large-sample dataset is essential.
Tobias L. Hohenbrink, Conrad Jackisch, Wolfgang Durner, Kai Germer, Sascha C. Iden, Janis Kreiselmeier, Frederic Leuther, Johanna C. Metzger, Mahyar Naseri, and Andre Peters
Earth Syst. Sci. Data, 15, 4417–4432, https://doi.org/10.5194/essd-15-4417-2023, https://doi.org/10.5194/essd-15-4417-2023, 2023
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The article describes a collection of 572 data sets of soil water retention and unsaturated hydraulic conductivity data measured with state-of-the-art laboratory methods. Furthermore, the data collection contains basic soil properties such as soil texture and organic carbon content. We expect that the data will be useful for various important purposes, for example, the development of soil hydraulic property models and related pedotransfer functions.
Sebastien Klotz, Caroline Le Bouteiller, Nicolle Mathys, Firmin Fontaine, Xavier Ravanat, Jean-Emmanuel Olivier, Frédéric Liébault, Hugo Jantzi, Patrick Coulmeau, Didier Richard, Jean-Pierre Cambon, and Maurice Meunier
Earth Syst. Sci. Data, 15, 4371–4388, https://doi.org/10.5194/essd-15-4371-2023, https://doi.org/10.5194/essd-15-4371-2023, 2023
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Mountain badlands are places of intense erosion. They deliver large amounts of sediment to river systems, with consequences for hydropower sustainability, habitat quality and biodiversity, and flood hazard and river management. Draix-Bleone Observatory was created in 1983 to understand and quantify sediment delivery from such badland areas. Our paper describes how water and sediment fluxes have been monitored for almost 40 years in the small mountain catchments of this observatory.
Gopi Goteti
Earth Syst. Sci. Data, 15, 4389–4415, https://doi.org/10.5194/essd-15-4389-2023, https://doi.org/10.5194/essd-15-4389-2023, 2023
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Data on river gauging stations, river basin boundaries and river flow paths are critical for hydrological analyses, but existing data for India's river basins have limited availability and reliability. This work fills the gap by building a new dataset. Data for 645 stations in 15 basins of India were compiled and checked against global data sources; data were supplemented with additional information where needed. This dataset will serve as a reliable building block in hydrological analyses.
Md Safat Sikder, Jida Wang, George H. Allen, Yongwei Sheng, Dai Yamazaki, Chunqiao Song, Meng Ding, Jean-François Crétaux, and Tamlin M. Pavelsky
Earth Syst. Sci. Data, 15, 3483–3511, https://doi.org/10.5194/essd-15-3483-2023, https://doi.org/10.5194/essd-15-3483-2023, 2023
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We introduce Lake-TopoCat to reveal detailed lake hydrography information. It contains the location of lake outlets, the boundary of lake catchments, and a wide suite of attributes that depict detailed lake drainage relationships. It was constructed using lake boundaries from a global lake dataset, with the help of high-resolution hydrography data. This database may facilitate a variety of applications including water quality, agriculture and fisheries, and integrated lake–river modeling.
Maik Heistermann, Till Francke, Lena Scheiffele, Katya Dimitrova Petrova, Christian Budach, Martin Schrön, Benjamin Trost, Daniel Rasche, Andreas Güntner, Veronika Döpper, Michael Förster, Markus Köhli, Lisa Angermann, Nikolaos Antonoglou, Manuela Zude-Sasse, and Sascha E. Oswald
Earth Syst. Sci. Data, 15, 3243–3262, https://doi.org/10.5194/essd-15-3243-2023, https://doi.org/10.5194/essd-15-3243-2023, 2023
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Cosmic-ray neutron sensing (CRNS) allows for the non-invasive estimation of root-zone soil water content (SWC). The signal observed by a single CRNS sensor is influenced by the SWC in a radius of around 150 m (the footprint). Here, we have put together a cluster of eight CRNS sensors with overlapping footprints at an agricultural research site in north-east Germany. That way, we hope to represent spatial SWC heterogeneity instead of retrieving just one average SWC estimate from a single sensor.
Benjamin M. Kitambo, Fabrice Papa, Adrien Paris, Raphael M. Tshimanga, Frederic Frappart, Stephane Calmant, Omid Elmi, Ayan Santos Fleischmann, Melanie Becker, Mohammad J. Tourian, Rômulo A. Jucá Oliveira, and Sly Wongchuig
Earth Syst. Sci. Data, 15, 2957–2982, https://doi.org/10.5194/essd-15-2957-2023, https://doi.org/10.5194/essd-15-2957-2023, 2023
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The surface water storage (SWS) in the Congo River basin (CB) remains unknown. In this study, the multi-satellite and hypsometric curve approaches are used to estimate SWS in the CB over 1992–2015. The results provide monthly SWS characterized by strong variability with an annual mean amplitude of ~101 ± 23 km3. The evaluation of SWS against independent datasets performed well. This SWS dataset contributes to the better understanding of the Congo basin’s surface hydrology using remote sensing.
Natalie Lützow, Georg Veh, and Oliver Korup
Earth Syst. Sci. Data, 15, 2983–3000, https://doi.org/10.5194/essd-15-2983-2023, https://doi.org/10.5194/essd-15-2983-2023, 2023
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Glacier lake outburst floods (GLOFs) are a prominent natural hazard, and climate change may change their magnitude, frequency, and impacts. A global, literature-based GLOF inventory is introduced, entailing 3151 reported GLOFs. The reporting density varies temporally and regionally, with most cases occurring in NW North America. Since 1900, the number of yearly documented GLOFs has increased 6-fold. However, many GLOFs have incomplete records, and we call for a systematic reporting protocol.
Hanieh Seyedhashemi, Florentina Moatar, Jean-Philippe Vidal, and Dominique Thiéry
Earth Syst. Sci. Data, 15, 2827–2839, https://doi.org/10.5194/essd-15-2827-2023, https://doi.org/10.5194/essd-15-2827-2023, 2023
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This paper presents a past and future dataset of daily time series of discharge and stream temperature for 52 278 reaches over the Loire River basin (100 000 km2) in France, using thermal and hydrological models. Past data are provided over 1963–2019. Future data are available over the 1976–2100 period under different future climate change models (warm and wet, intermediate, and hot and dry) and scenarios (optimistic, intermediate, and pessimistic).
Youjiang Shen, Karina Nielsen, Menaka Revel, Dedi Liu, and Dai Yamazaki
Earth Syst. Sci. Data, 15, 2781–2808, https://doi.org/10.5194/essd-15-2781-2023, https://doi.org/10.5194/essd-15-2781-2023, 2023
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Res-CN fills a gap in a comprehensive and extensive dataset of reservoir-catchment characteristics for 3254 Chinese reservoirs with 512 catchment-level attributes and significantly enhanced spatial and temporal coverage (e.g., 67 % increase in water level and 225 % in storage anomaly) of time series of reservoir water level (data available for 20 % of 3254 reservoirs), water area (99 %), storage anomaly (92 %), and evaporation (98 %), supporting a wide range of applications and disciplines.
Hui Zheng, Wenli Fei, Zong-Liang Yang, Jiangfeng Wei, Long Zhao, Lingcheng Li, and Shu Wang
Earth Syst. Sci. Data, 15, 2755–2780, https://doi.org/10.5194/essd-15-2755-2023, https://doi.org/10.5194/essd-15-2755-2023, 2023
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An ensemble of evapotranspiration, runoff, and water storage is estimated here using the Noah-MP land surface model by perturbing model parameterization schemes. The data could be beneficial for monitoring and understanding the variability of water resources. Model developers could also gain insights by intercomparing the ensemble members.
Alison L. Kay, Victoria A. Bell, Helen N. Davies, Rosanna A. Lane, and Alison C. Rudd
Earth Syst. Sci. Data, 15, 2533–2546, https://doi.org/10.5194/essd-15-2533-2023, https://doi.org/10.5194/essd-15-2533-2023, 2023
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Climate change will affect the water cycle, including river flows and soil moisture. We have used both observational data (1980–2011) and the latest UK climate projections (1980–2080) to drive a national-scale grid-based hydrological model. The data, covering Great Britain and Northern Ireland, suggest potential future decreases in summer flows, low flows, and summer/autumn soil moisture, and possible future increases in winter and high flows. Society must plan how to adapt to such impacts.
Cited articles
Abagandura, G. O., Nasr, G. E.-D. M., and Moumen, N. M.: Influence of tillage
practices on soil physical properties and growth and yield of maize in jabal
al akhdar, Libya, Open Journal of Soil Science, 7, 118–132, 2017. a
Abdi, H. and Williams, L. J.: Tukey's honestly significant difference (HSD)
test, Encyclopedia of research design, 3, 583–585, 2010. a
Amer, A.-M. M., Logsdon, S. D., and Davis, D.: Prediction of hydraulic
conductivity as related to pore size distribution in unsaturated soils, Soil
Sci., 174, 508–515, 2009. a
Amoozegar, A.: A compact constant-head permeameter for measuring saturated
hydraulic conductivity of the vadose zone, Soil Sci. Soc. Am.
J., 53, 1356–1361, 1989. a
Amoozegar, A. and Warrick, A.: Hydraulic conductivity of saturated soils: field
methods, Methods of Soil Analysis: Part 1,
5, 735–770, 1986. a
Andrade, R. B.: The influence of bulk density on the hydraulic conductivity and
water content-matric suction relation of two soils, PhD thesis, Utah State
University, 1971. a
Arend, J. L.: Infiltration rates of forest soils in the Missouri Ozarks as
affected by woods burning and litter removal, J. For., 39, 726–728, 1941. a
Bagarello, V. and Sgroi, A.: Using the single-ring infiltrometer method to
detect temporal changes in surface soil field-saturated hydraulic
conductivity, Soil Till. Res., 76, 13–24, 2004. a
Baird, A. J.: Field estimation of macropore functioning and surface hydraulic
conductivity in a fen peat, Hydrol. Process., 11, 287–295, 1997. a
Bambra, A.: Soil loss estimation in experimental orchard at Nauni in Solan
district of Himachal Pradesh, PhD thesis, Yashwant Singh Parmar,
University of horticulture and forestry, Solan (Nauni) HP, 2016. a
Batjes, N. H.: Total carbon and nitrogen in the soils of the world, Eur.
J. Soil Sci., 47, 151–163, 1996. a
Beyer, M., Gaj, M., Hamutoko, J. T., Koeniger, P., Wanke, H., and Himmelsbach,
T.: Estimation of groundwater recharge via deuterium labelling in the
semi-arid Cuvelai-Etosha Basin, Namibia, Isot. Environ. Healt.
S., 51, 533–552, 2015. a
Bhattacharyya, R., Prakash, V., Kundu, S., and Gupta, H.: Effect of tillage and
crop rotations on pore size distribution and soil hydraulic conductivity in
sandy clay loam soil of the Indian Himalayas, Soil Till. Res., 86,
129–140, 2006. a
Blake, W. H., Theocharopoulos, S. P., Skoulikidis, N., Clark, P., Tountas, P.,
Hartley, R., and Amaxidis, Y.: Wildfire impacts on hillslope sediment and
phosphorus yields, J. Soils Sed., 10, 671–682, 2010. a
Bodhinayake, W., Si, B. C., and Noborio, K.: Determination of hydraulic
properties in sloping landscapes from tension and double-ring infiltrometers,
Vadose Zone J., 3, 964–970, 2004. a
Boike, J., Roth, K., and Overduin, P. P.: Thermal and hydrologic dynamics of
the active layer at a continuous permafrost site (Taymyr Peninsula, Siberia),
Water Resour. Res., 34, 355–363, 1998. a
Bonell, M. and Williams, J.: The two parameters of the Philip infiltration
equation: their properties and spatial and temporal heterogeneity in a red
earth of tropical semi-arid Queensland, J. Hydrol., 87, 9–31,
1986. a
Bonsu, M. and Masopeh, B.: Saturated hydraulic conductivity values of some
forest soils of Ghana determined by a simple method, Ghana Journal of
Agricultural Science, 29, 75–80, 1996. a
Braud, I., Desprats, J.-F., Ayral, P.-A., Bouvier, C., and Vandervaere, J.-P.:
Mapping topsoil field-saturated hydraulic conductivity from point
measurements using different methods, J. Hydrol.
Hydromech., 65, 264–275, 2017. a
Breiman, L.: Random forests, Machine Learn., 45, 5–32, 2001. a
Bruand, A., Duval, O., and Cousin, I.: Estimation des propriétés de
rétention en eau des sols à partir de la base de données
SOLHYDRO: Une première proposition combianant le type d'horizon, sa
texture et sa densité apparente., Étude et Gestion des Sols, 11, 323–334, 2004. a
Campbell, R. E., Baker, J., Ffolliott, P. F., Larson, F. R., and Avery, C. C.:
Wildfire effects on a ponderosa pine ecosystem: an Arizona case study, USDA
For. Serv. Res. Pap. RM-191, US Department of Agriculture,
Forest Service, Rocky Mountain Forest and Range Experimental Station, Fort Collins, CO, 12 pp.,
191, 1977. a
Chang, Y.-J.: Predictions of saturated hydraulic conductivity dynamics in a
midwestern agricultural watershed, Iowa, PhD thesis, University of Iowa, USA,
2010. a
Chief, K., Ferré, T., and Nijssen, B.: Correlation between air permeability
and saturated hydraulic conductivity: Unburned and burned soils, Soil Sci.
Soc. Am. J., 72, 1501–1509, 2008. a
Cisneros, J., Cantero, J., and Cantero, A.: Vegetation, soil hydrophysical
properties, and grazing relationships in saline-sodic soils of Central
Argentina, Can. J. Soil Sci., 79, 399–409, 1999. a
Coelho, M. A.: Spatial variability of water related soil physical properties.,
PhD thesis, The University of Arizona, USA, 1974. a
Conedera, M., Peter, L., Marxer, P., Forster, F., Rickenmann, D., and Re, L.:
Consequences of forest fires on the hydrogeological response of mountain
catchments: a case study of the Riale Buffaga, Ticino, Switzerland, Earth
Surf. Processes Landf., 28, 117–129, 2003. a
Cornelis, W. M., Ronsyn, J., Van Meirvenne, M., and Hartmann, R.: Evaluation of
pedotransfer functions for predicting the soil moisture retention curve, Soil
Sci. Soc. Am. J., 65, 638–648, 2001. a
Daniel, S., Gabiri, G., Kirimi, F., Glasner, B., Näschen, K., Leemhuis, C.,
Steinbach, S., and Mtei, K.: Spatial distribution of soil hydrological
properties in the Kilombero floodplain, Tanzania, Hydrology, 4, 1–13, 2017. a
Davis, S. H., Vertessy, R. A., Dunkerley, D. L., and Mein, R. G.: The
influence of scale on the measurement of saturated hydraulic conductivity in
forest soils, in: National Conference Publication-Institution of Engineers
Australia NCP, 1, 103–108, Institution of Engineers, Australia,
1996. a
Deshmukh, H., Chandran, P., Pal, D., Ray, S., Bhattacharyya, T., and Potdar,
S.: A pragmatic method to estimate plant available water capacity (PAWC) of
rainfed cracking clay soils (Vertisols) of Maharashtra, Central India, Clay
Res., 33, 1–14, 2014. a
Ebel, B. A., Moody, J. A., and Martin, D. A.: Hydrologic conditions controlling
runoff generation immediately after wildfire, Water Resour. Res., 48, 1–13,
2012. a
Elnaggar, A.: Spatial Variability of Soil Physiochemical Properties in Bahariya
Oasis, Egypt, Egyptian J. Soil Sci., 57, 313–328,
https://doi.org/10.21608/EJSS.2017.4438, 2017. a
El-Shafei, Y., Al-Darby, A., Shalaby, A., and Al-Omran, A.: Impact of a highly
swelling gel-forming conditioner (acryhope) upon water movement in uniform
sandy soils, Arid Land Res. Manag., 8, 33–50, 1994. a
Fatichi, S., Or, D., Walko, R., Vereecken, H., Young, M. H., Ghezzehei, T. A.,
Hengl, T., Kollet, S., Agam, N., and Avissar, R.: Soil structure is an
important omission in Earth System Models, Nat. Commun., 11, 1–11, 2020. a
Ferreira, A., Coelho, C., Boulet, A., and Lopes, F.: Temporal patterns of
solute loss following wildfires in Central Portugal, Int. J.
Wildland Fire, 14, 401–412, 2005. a
Ganiyu, S., Rabiu, J., and Olatoye, R.: Predicting hydraulic conductivity
around septic tank systems using soil physico-chemical properties and
determination of principal soil factors by multivariate analysis, Journal of
King Saud University-Science, 32, 555–562, 2018. a
Ghanbarian, B., Taslimitehrani, V., and Pachepsky, Y. A.: Accuracy of sample
dimension-dependent pedotransfer functions in estimation of soil saturated
hydraulic conductivity, Catena, 149, 374–380, 2017. a
Glinski, J., Ostrowski, J., Stepniewska, Z., and Stepniewski, W.: Soil sample
bank representing mineral soils of Poland, Problemy Agrofizyki (Poland),
1991. a
Gliński, J., Stępniewski, W., Stępniewska, Z., Włodarczyk,
T., Brzezińska, M., et al.: Characteristics of aeration properties of
selected soil profiles from central Europe., Int. Agrophys., 14,
17–31, 2000. a
Greenwood, W. and Buttle, J.: Effects of reforestation on near-surface
saturated hydraulic conductivity in a managed forest landscape, southern
Ontario, Canada, Ecohydrology, 7, 45–55, 2014. a
Gupta, S., Hengl, T., Lehmann, P., Bonetti, S., and Or, D.: SoilKsatDB: global
compilation of soil saturated hydraulic conductivity measurements for
geoscience applications, Zenodo, https://doi.org/10.5281/zenodo.3752721, 2020. a, b, c
Gwenzi, W., Hinz, C., Holmes, K., Phillips, I. R., and Mullins, I. J.:
Field-scale spatial variability of saturated hydraulic conductivity on a
recently constructed artificial ecosystem, Geoderma, 166, 43–56, 2011. a
Habecker, M., McSweeney, K., and Madison, F.: Identification and genesis of
fragipans in Ochrepts of north central Wisconsin, Soil Sci. Soc.
Am. J., 54, 139–146, 1990. a
Habel, A. Y.: The role of climate on the aggregate stability and soil
erodibility of selected El-Jabal Al-Akhdar soils-Libya, Alexandria Journal of
Agricultural Research, 58, 261–271, 2013. a
Hamel, P., Falinski, K., Sharp, R., Auerbach, D. A., Sánchez-Canales, M.,
and Dennedy-Frank, P. J.: Sediment delivery modeling in practice: Comparing
the effects of watershed characteristics and data resolution across
hydroclimatic regions, Sci. Total Environ., 580, 1381–1388,
2017. a
Hao, M., Zhang, J., Meng, M., Chen, H. Y., Guo, X., Liu, S., and Ye, L.:
Impacts of changes in vegetation on saturated hydraulic conductivity of soil
in subtropical forests, Sci. Rep.-UK, 9, 1–9, 2019. a
Hardie, M. A., Cotching, W. E., Doyle, R. B., Holz, G., Lisson, S., and
Mattern, K.: Effect of antecedent soil moisture on preferential flow in a
texture-contrast soil, J. Hydrol., 398, 191–201, 2011. a
Hastie, T., Tibshirani, R., and Friedman, J.: The Elements of Statistical
Learning; Data Mining, Inference and Prediction, Springer, New York, 2 edn.,
2009. a
Haverkamp, R., Zammit, C., Bouraoui, F., Rajkai, K., Arrúe, J., and
Heckmann, N.: GRIZZLY: Grenoble catalogue of soils: Survey of soil field data
and description of particle-size, soil water retention and hydraulic
conductivity functions, Lab. d'Etude des Transferts en Hydrol. et Environ.,
Grenoble, France, 1998. a
Helbig, M., Boike, J., Langer, M., Schreiber, P., Runkle, B. R., and Kutzbach,
L.: Spatial and seasonal variability of polygonal tundra water balance: Lena
River Delta, northern Siberia (Russia), Hydrogeol. J., 21, 133–147,
2013. a
Hiederer, R., Jones, R. J., and Daroussin, J.: Soil Profile Analytical Database
for Europe (SPADE): reconstruction and validation of the measured data
(SPADE/M), Geografisk Tidsskrift-Danish Journal of Geography, 106, 71–85,
2006. a
Hilton, A. and Armstrong, R. A.: Statnote 6: post-hoc ANOVA tests,
Microbiologist, 2006, 34–36, 2006. a
Horn, A., Stumpfe, A., Kues, J., Zinner, H.-J., and Fleige, H.: Die
Labordatenbank des Niedersächsischen Bodeninformationssystems (NIBIS)-.
Teil: Fachinformationssystem Bodenkunde, Geologisches Jahrbuch. Reihe A,
Allgemeine und regionale Geologie BR Deutschland und Nachbargebiete,
Tektonik, Stratigraphie, Paläontologie, Tagung der Gesellschaft für Geologische Wissenschaften, 4 May 1988, Elbingerode, Stratigraphie, Lithologie, Tektonik und Lagerstätten ausgewählter Bereiche im Unter- und Mittelharz, 59–97, 1991. a
Houghton, T. B.: Hydrogeologic characterization of an alpine glacial till,
Snowy Range, Wyoming, PhD thesis, Colorado State University, USA, Libraries,
2011. a
Hu, W., She, D., Shao, M., Chun, K. P., and Si, B.: Effects of initial soil
water content and saturated hydraulic conductivity variability on small
watershed runoff simulation using LISEM, Hydrol. Sci. J., 60,
1137–1154, 2015. a
Imeson, A., Verstraten, J., Van Mulligen, E., and Sevink, J.: The effects of
fire and water repellency on infiltration and runoff under Mediterranean type
forest, Catena, 19, 345–361, 1992. a
Jabro, J.: Estimation of saturated hydraulic conductivity of soils from
particle size distribution and bulk density data, Transactions of the ASAE,
35, 557–560, 1992. a
Jarvis, N., Koestel, J., Messing, I., Moeys, J., and Lindahl, A.: Influence of soil, land use and climatic factors on the hydraulic conductivity of soil, Hydrol. Earth Syst. Sci., 17, 5185–5195, https://doi.org/10.5194/hess-17-5185-2013, 2013. a
Johansen, M. P., Hakonson, T. E., and Breshears, D. D.: Post-fire runoff and
erosion from rainfall simulation: contrasting forests with shrublands and
grasslands, Hydrol. Process., 15, 2953–2965, 2001. a
Kanemasu, E.: Soil Hydraulic Conductivity Data (FIFE), ORNL Distributed
Active Archive Center, https://doi.org/10.3334/ORNLDAAC/107, 1994. a, b
Katimon, A. and Hassan, A. M. M.: Field hydraulic conductivity of some
Malaysian peat, Malaysian Journal of Civil Engineering, 10, 14–20,, 1997. a
Keisling, T. C.: Precision with which selected physical properties of similar
soils can be estimated, PhD thesis, Oklahoma State University, USA, 1974. a
Kelly, T. J., Baird, A. J., Roucoux, K. H., Baker, T. R., Honorio Coronado,
E. N., Ríos, M., and Lawson, I. T.: The high hydraulic conductivity of
three wooded tropical peat swamps in northeast Peru: measurements and
implications for hydrological function, Hydrol. Process., 28,
3373–3387, 2014. a
Kirby, J., Kingham, R., and Cortes, M.: Texture, density and hydraulic
conductivity of some soils in San Luis province, Argentina, Ciencia del
suelo, 19, 20–28, 2001. a
Klute, A.: Laboratory measurement of hydraulic conductivity of saturated soil,
Methods of Soil Analysis: Part 1 Physical and Mineralogical Properties,
Including Statistics of Measurement and Sampling, 9, 210–221, 1965. a
Klute, A. and Dirksen, C.: Hydraulic conductivity and diffusivity: Laboratory
methods, Methods of Soil Analysis: Part 1,
5, 687–734, 1986. a
Kool, J., Albrecht, K. A., Parker, J., and Baker, J.: Physical and chemical
characterization of the Groseclose soil mapping unit, Tech. rep., Virginia
Agricultural Experiment Station, Virginia, 1986. a
Krahmer, U., Hennings, V., Müller, U., and Schrey, H.-P.: Ermittlung
bodenphysikalischer Kennwerte in Abhängigkeit von Bodenart,
lagerungsdichte und Humusgehalt, Zeitschrift für Pflanzenernährung
und Bodenkunde, 158, 323–331, 1995. a
Kramarenko, V., Brakorenko, N., and Molokov, V.: Hydraulic conductivity of peat
in Western Siberia, in: E3S Web of Conferences, 98, 11003, EDP
Sciences, https://doi.org/10.1051/e3sconf/20199811003, 2019. a
Kutiel, P., Lavee, H., Segev, M., and Benyamini, Y.: The effect of fire-induced
surface heterogeneity on rainfall-runoff-erosion relationships in an eastern
Mediterranean ecosystem, Israel, Catena, 25, 77–87, 1995. a
Kutílek, M., Krejča, M., Haverkamp, R., Rendon, L., and Parlange,
J.-Y.: On extrapolation of algebraic infiltration equations, Soil Technol.,
1, 47–61, 1988. a
Lamara, M. and Derriche, Z.: Prediction of unsaturated hydraulic properties of
dune sand on drying and wetting paths, Electron. J. Geotech. Eng., 13, 1–19,
2008. a
Lassabatere, L., Angulo-Jaramillo, R., Soria Ugalde, J., Cuenca, R., Braud, I.,
and Haverkamp, R.: Beerkan estimation of soil transfer parameters through
infiltration experiments–BEST, Soil Sci. Soc. Am. J., 70,
521–532, 2006. a
Lawrence, I. and Lin, K.: A concordance correlation coefficient to evaluate
reproducibility, Biometrics, 45, 255–268, 1989. a
Leij, F., Alves, W., Van Genuchten, M. T., and Williams, J.: The UNSODA
Unsaturated Soil Hydraulic Database, User's Manual, Version 1.0, Rep.
EPA/600/R-96, US Environmental Protection Agency, Ada, Oklahoma, 95, 103, 1996. a
Li, X., Liu, S., Xiao, Q., Ma, M., Jin, R., Che, T., Wang, W., Hu, X., Xu, Z.,
Wen, J., and Wang, L.: A multiscale dataset for understanding complex
eco-hydrological processes in a heterogeneous oasis system, Sci. Data,
4, 170083, https://doi.org/10.1038/sdata.2017.83, 2017. a, b
Lopes, V. S., Cardoso, I. M., Fernandes, O. R., Rocha, G. C., Simas, F. N. B.,
de Melo Moura, W., Santana, F. C., Veloso, G. V., and da Luz, J. M. R.: The
establishment of a secondary forest in a degraded pasture to improve
hydraulic properties of the soil, Soil Till. Res., 198, 104538, https://doi.org/10.1016/j.still.2019.104538,
2020. a
Lopez, O., Jadoon, K., and Missimer, T.: Method of relating grain size
distribution to hydraulic conductivity in dune sands to assist in assessing
managed aquifer recharge projects: Wadi Khulays dune field, western Saudi
Arabia, Water, 7, 6411–6426, 2015. a
Mahapatra, S. and Jha, M. K.: On the estimation of hydraulic conductivity of
layered vadose zones with limited data availability, J. Earth Syst.
Sci., 128, 75, https://doi.org/10.1007/s12040-019-1101-1, 2019. a
Martin, D. A. and Moody, J. A.: Comparison of soil infiltration rates in burned
and unburned mountainous watersheds, Hydrol. Process., 15, 2893–2903,
2001. a
McKenzie, N., Jacquier, D., and Gregory, L.: Online soil information
systems–recent Australian experience, in: Digital soil mapping with limited
data, Springer, https://doi.org/10.1007/978-1-4020-8592-5_24, pp. 283–290, 2008. a
Mohsenipour, M. and Shahid, S.: Estimation OF saturated hydraulic conductivity:
A Review, Malasia: Academia Edu, available at: http://bit.ly/2WShxfW (last access: 3 February 2021), 2016. a
Mott, J., Bridge, B., and Arndt, W.: Soil seals in tropical tall grass pastures
of northern Australia, Soil Res., 17, 483–494, 1979. a
Mualem, Y.: Catalogue of the hydraulic properties of unsaturated soils,
Technion Israel Institute of Technology, Technion Research & Development, Israel,
1976. a
Muñoz-Carpena, R., Regalado, C. M., Álvarez-Benedi, J., and Bartoli,
F.: Field evaluation of the new Philip-Dunne permeameter for measuring
saturated hydraulic conductivity, Soil Sci., 167, 9–24, 2002. a
Naik, A. P., Ghosh, B., and Pekkat, S.: Estimating soil hydraulic properties
using mini disk infiltrometer, ISH Journal of Hydraulic Engineering, 25,
62–70, 2019. a
National Cooperative Soil Survey: National cooperative soil survey
characterization database, United States Department of Agriculture, Natural
Resoucres Conservation, Lincoln, NE, 2016. a
Nemes, A.: Unsaturated soil hydraulic database of Hungary: HUNSODA,
Agrokémia és Talajtan, 51, 17–26, 2002. a
Nemes, A.: Databases of soil physical and hydraulic properties, Encyclopedia of
agrophysics, 194–199, https://doi.org/10.1007/978-90-481-3585-1_39, 2011. a
Niemeyer, R., Fremier, A. K., Heinse, R., Chávez, W., and DeClerck, F. A.:
Woody vegetation increases saturated hydraulic conductivity in dry tropical
Nicaragua, Vadose Zone J., 13, 1–11, 2014. a
Nyman, P., Sheridan, G. J., Smith, H. G., and Lane, P. N.: Evidence of debris
flow occurrence after wildfire in upland catchments of south-east Australia,
Geomorphology, 125, 383–401, 2011. a
Ouattara, M.: Variation of saturated hydraulic conductivity with depth for
selected profiles of Tillman-Hollister soil, PhD thesis, Oklahoma State
University, Oklahoma, 1977. a
Päivänen, J.: Hydraulic conductivity and water retention in peat
soils, Suomen metsätieteellinen seura, Finland, 1973. a
Parks, D. S. and Cundy, T. W.: Soil hydraulic characteristics of a small
southwest Oregon watershed following high-intensity wildfires, in: Proceedings of the Symposium on Fire and Watershed
Management, edited by: Berg,
N. H., 26–28 October 1988, Sacramento, California, Gen. Tech. Rep.
PSW-109, US Department of Agriculture, Forest Service,
Pacific Southwest Forest and Range Experiment Station, Berkeley, Calif., 109, 63–67, 1989. a
Price, K., Jackson, C. R., and Parker, A. J.: Variation of surficial soil
hydraulic properties across land uses in the southern Blue Ridge Mountains,
North Carolina, USA, J. Hydrol., 383, 256–268, 2010. a
Purdy, S. and Suryasasmita, V.: Comparison of hydraulic conductivity test
methods for landfill clay liners, in: Advances in Unsaturated Soil, Seepage,
and Environmental Geotechnics, GeoShanghai International Conference 2006, China, pp. 364–372, 2006. a
Quinton, W. L., Hayashi, M., and Carey, S. K.: Peat hydraulic conductivity in
cold regions and its relation to pore size and geometry, Hydrol.
Process., 22, 2829–2837, 2008. a
Rab, M.: Soil physical and hydrological properties following logging and slash
burning in the Eucalyptus regnans forest of southeastern Australia, Forest
Ecol. Manag., 84, 159–176, 1996. a
Radcliffe, D., West, L., Ware, G., and Bruce, R.: Infiltration in adjacent
Cecil and Pacolet soils, Soil Sci. Soc. Am. J., 54,
1739–1743, 1990. a
Rahimy, P.: Effects of Soil Depth and Saturated Hydraulic Conductivity Spatial
Variation on Runoff Simulation by the Limburg Soil Erosion Model, LISEM: A
Case Study in Faucon Catchment, University of Twente Faculty of
Geo-Information and Earth Observation (ITC), France, 2011. a
Rahmati, M., Weihermüller, L., Vanderborght, J., Pachepsky, Y. A., Mao, L., Sadeghi, S. H., Moosavi, N., Kheirfam, H., Montzka, C., Van Looy, K., Toth, B., Hazbavi, Z., Al Yamani, W., Albalasmeh, A. A., Alghzawi, M. Z., Angulo-Jaramillo, R., Antonino, A. C. D., Arampatzis, G., Armindo, R. A., Asadi, H., Bamutaze, Y., Batlle-Aguilar, J., Béchet, B., Becker, F., Blöschl, G., Bohne, K., Braud, I., Castellano, C., Cerdà, A., Chalhoub, M., Cichota, R., Císlerová, M., Clothier, B., Coquet, Y., Cornelis, W., Corradini, C., Coutinho, A. P., de Oliveira, M. B., de Macedo, J. R., Durães, M. F., Emami, H., Eskandari, I., Farajnia, A., Flammini, A., Fodor, N., Gharaibeh, M., Ghavimipanah, M. H., Ghezzehei, T. A., Giertz, S., Hatzigiannakis, E. G., Horn, R., Jiménez, J. J., Jacques, D., Keesstra, S. D., Kelishadi, H., Kiani-Harchegani, M., Kouselou, M., Kumar Jha, M., Lassabatere, L., Li, X., Liebig, M. A., Lichner, L., López, M. V., Machiwal, D., Mallants, D., Mallmann, M. S., de Oliveira Marques, J. D., Marshall, M. R., Mertens, J., Meunier, F., Mohammadi, M. H., Mohanty, B. P., Pulido-Moncada, M., Montenegro, S., Morbidelli, R., Moret-Fernández, D., Moosavi, A. A., Mosaddeghi, M. R., Mousavi, S. B., Mozaffari, H., Nabiollahi, K., Neyshabouri, M. R., Ottoni, M. V., Ottoni Filho, T. B., Pahlavan-Rad, M. R., Panagopoulos, A., Peth, S., Peyneau, P.-E., Picciafuoco, T., Poesen, J., Pulido, M., Reinert, D. J., Reinsch, S., Rezaei, M., Roberts, F. P., Robinson, D., Rodrigo-Comino, J., Rotunno Filho, O. C., Saito, T., Suganuma, H., Saltalippi, C., Sándor, R., Schütt, B., Seeger, M., Sepehrnia, N., Sharifi Moghaddam, E., Shukla, M., Shutaro, S., Sorando, R., Stanley, A. A., Strauss, P., Su, Z., Taghizadeh-Mehrjardi, R., Taguas, E., Teixeira, W. G., Vaezi, A. R., Vafakhah, M., Vogel, T., Vogeler, I., Votrubova, J., Werner, S., Winarski, T., Yilmaz, D., Young, M. H., Zacharias, S., Zeng, Y., Zhao, Y., Zhao, H., and Vereecken, H.: Development and analysis of the Soil Water Infiltration Global database, Earth Syst. Sci. Data, 10, 1237–1263, https://doi.org/10.5194/essd-10-1237-2018, 2018. a, b, c, d, e, f, g
Ramli, M.: Management of Groundwater Resources from Peat in Sarawak, Paper presented at the Workshop Working Towards Integrated Peatland Management, Kuching, Sarawak, 1999. a
Ravi, S., Wang, L., Kaseke, K. F., Buynevich, I. V., and Marais, E.:
Ecohydrological interactions within “fairy circles” in the Namib Desert:
Revisiting the self-organization hypothesis, J. Geophys. Res.-Biogeo., 122, 405–414, 2017. a
Rawls, W. J., Brakensiek, D. L., and Saxtonn, K.: Estimation of soil water
properties, Transactions of the ASAE, 25, 1316–1320, 1982. a
Reynolds, W. and Elrick, D.: In situ measurement of field-saturated hydraulic
conductivity, sorptivity, and the α-parameter using the Guelph
permeameter, Soil Sci., 140, 292–302, 1985. a
Reynolds, W., Bowman, B., Brunke, R., Drury, C., and Tan, C.: Comparison of
tension infiltrometer, pressure infiltrometer, and soil core estimates of
saturated hydraulic conductivity, Soil Sci. Soc. Am. J.,
64, 478–484, 2000. a
Robbins, C. W.: Hydraulic conductivity and moisture retention characteristics
of southern Idaho's silt loam soils, Tech. rep., University of Idaho College
of Agriculture, USA, 1977. a
Romano, N. and Palladino, M.: Prediction of soil water retention using soil
physical data and terrain attributes, J. Hydrol., 265, 56–75,
2002. a
Rubel, F. and Kottek, M.: Observed and projected climate shifts 1901–2100
depicted by world maps of the Köppen-Geiger climate classification,
Meteorol. Z., 19, 135–141, 2010. a
Rycroft, D., Williams, D., and Ingram, H.: The transmission of water through
peat: I. Review, The Journal of Ecology, 63, 535–556, https://doi.org/10.2307/2258734, 1975. a
Sanzeni, A., Colleselli, F., and Grazioli, D.: Specific surface and hydraulic
conductivity of fine-grained soils, J. Geotech.
Geoenviron., 139, 1828–1832, 2013. a
Sayok, A., Ayob, K., Melling, L., Goh, K., Uyo, L., and Hatano, R.: Hydraulic conductivity and moisture characteristics of tropical peatland-preliminary investigation, Malaysian Society of Soil Science (MSSS), Malaysian, 2007. a
Schwärzel, K. and Punzel, J.: Hood infiltrometer—a new type of tension
infiltrometer, Soil Sci. Soc. Am. J., 71, 1438–1447, 2007. a
Scotter, D., Clothier, B., and Harper, E.: Measuring saturated hydraulic
conductivity and sorptivity using twin rings, Soil Res., 20, 295–304,
1982. a
Sepehrnia, N., Hajabbasi, M. A., Afyuni, M., and Lichner, L.: Extent and
persistence of water repellency in two Iranian soils, Biologia, 71,
1137–1143, 2016. a
Sharma, S. K., Mohanty, B. P., and Zhu, J.: Including topography and vegetation
attributes for developing pedotransfer functions, Soil Sci. Soc.
Am. J., 70, 1430–1440, 2006. a
Simmons, L. A.: Soil hydraulic and physical properties as affected by logging
management, PhD thesis, University of Missouri–Columbia, USA, 2014. a
Singh, I., Awasthi, O., Sharma, B., More, T., and Meena, S.: Soil
properties, root growth, water-use efficiency in brinjal (Solanum melongena)
production and economics as affected by soil water conservation practices,
Ind. J. Agric. Sci., 81, 84–87, 2011. a
Singh, R., Van Dam, J., and Feddes, R. A.: Water productivity analysis of
irrigated crops in Sirsa district, India, Agric. Water Manage., 82,
253–278, 2006. a
Smettem, K. and Ross, P.: Measurement and prediction of water movement in a
field soil: The matrix-macropore dichotomy, Hydrol. Process., 6, 1–10,
1992. a
Sonneveld, M., Everson, T., and Veldkamp, A.: Multi-scale analysis of soil
erosion dynamics in Kwazulu-Natal, South Africa, Land Degrad.
Dev., 16, 287–301, 2005. a
Southard, R. and Buol, S.: Subsoil saturated hydraulic conductivity in relation
to soil properties in the North Carolina Coastal Plain, Soil Sci. Soc. Am. J., 52, 1091–1094, 1988. a
Sutejo, Y., Saggaff, A., Rahayu, W., and Hanafiah: Hydraulic conductivity and
compressibility characteristics of fibrous peat, in: IOP Conference Series:
Materials Science and Engineering, IOP Publishing, Bristol, 620, 012053, 2019. a
Szabó, B., Szatmári, G., Takács, K., Laborczi, A., Makó, A., Rajkai, K., and Pásztor, L.: Mapping soil hydraulic properties using random-forest-based pedotransfer functions and geostatistics, Hydrol. Earth Syst. Sci., 23, 2615–2635, https://doi.org/10.5194/hess-23-2615-2019, 2019. a
Takahashi, H.: Studies on microclimate and hydrology of peat swamp forest in
Central Kalimantan, Indonesia, in: Biodiversity and Sustainability of
Tropical peatlands, Samara Publishing Limited, Indonesia, 178–198, 1997. a
Terzaghi, K.: Geotechnical investigation and testing-Laboratory testing of soil-Part 5: Incremental loading oedometer test 2, W3C XML, 1, 2006, 2004. a
Tete-Mensah, I.: Evaluation of Some Physical and Chemical Properties of Soils
Under two Agroforestrv Practices, PhD thesis, University of Ghana, Ghana, 1993. a
Tomasella, J., Pachepsky, Y., Crestana, S., and Rawls, W.: Comparison of two
techniques to develop pedotransfer functions for water retention, Soil
Sci. Soc. Am. J., 67, 1085–1092, 2003. a
Tuller, M. and Or, D.: Unsaturated Hydraulic Conductivity of Structured Porous
MediaA Review of Liquid Configuration–Based Models, Vadose Zone J., 1,
14–37, 2002. a
Varela, M., Benito, E., and Keizer, J.: Influence of wildfire severity on soil
physical degradation in two pine forest stands of NW Spain, Catena, 133,
342–348, 2015. a
Verburg, K., Bridge, B. J., Bristow, K. L., and Keating, B. A.: Properties of
selected soils in the Gooburrum–Moore Park area of Bundaberg, CSIRO Land and
Water Technical Report, CSIRO Land and water, Canberra, Australia, 9, 77, 2001. a
Vereecken, H., Weynants, M., Javaux, M., Pachepsky, Y., Schaap, M., and Genuchten,
M. T.: Using pedotransfer functions to estimate the van
Genuchten–Mualem soil hydraulic properties: A review, Vadose Zone J.,
9, 795–820, 2010. a
Vereecken, H., Van Looy, K., Weynants, M., and Javaux, M.: Soil retention and
conductivity curve data base sDB, link to MATLAB files, PANGAEA, https://doi.org/10.1594/PANGAEA.879233, 2017. a, b, c, d
Vereecken, H., Weihermüller, L., Assouline, S., Šimunek, J., Verhoef, A., Herbst, M., Archer, N., Mohanty, B., Montzka, C., Van derborght, J., Balsamo, G., Bechtold, M., Boone, A., Chadburn, S., Cuntz, Mathias., Decharme, Bertrand., Ducharne, Agnès., Ek, M., Garrigues, S., Goergen, K., Ingwersen, J., Kollet, S., M.Lawrence, David., Li, Q., Or, D., Swenson, S., de Vrese, P., Walko, R., Wu, Y., and Xue, Y.:
Infiltration from the pedon to global grid scales: An overview and outlook
for land surface modeling, Vadose Zone J., 18, 1–53, 2019. a
Vieira, B. C. and Fernandes, N. F.: Landslides in Rio de Janeiro: the role
played by variations in soil hydraulic conductivity, Hydrol. Process.,
18, 791–805, 2004. a
Vogeler, I., Carrick, S., Cichota, R., and Lilburne, L.: Estimation of soil
subsurface hydraulic conductivity based on inverse modelling and soil
morphology, J. Hydrol., 574, 373–382, 2019. a
Waddington, J. and Roulet, N.: Groundwater flow and dissolved carbon movement
in a boreal peatland, J. Hydrol., 191, 122–138, 1997. a
Wang, T., Zlotnik, V. A., Wedin, D., and Wally, K. D.: Spatial trends in
saturated hydraulic conductivity of vegetated dunes in the Nebraska Sand
Hills: Effects of depth and topography, J. Hydrol., 349, 88–97,
2008. a
Weynants, M., Montanarella, L., Toth, G., Arnoldussen, A., Anaya Romero, M.,
Bilas, G., Borresen, T., Cornelis, W., Daroussin, J., Gonçalves, M.
D. C., Haugen, L.-E., Hennings, V., Houskova, B., Iovino, M., Javaux, M., Keay, C. A., Kätterer, T., Kvaerno, S., Laktinova, T., Lamorski, K.,Lilly, A., Mako, A., Matula, S., Morari, F., Nemes, A., Patyka, N. V., Romano, N., Schindler, U., Shein, E., Slawinski, C., Strauss, P., Tóth, B., and Woesten, H.: European HYdropedological Data Inventory (EU-HYDI), EUR
Scientific and Technical Research Series, EUR 26053 EN, 167 pp., 2013. a
Wösten, J.: The HYPRES database of hydraulic properties of European
soils., Adv. GeoEcology, 32, 135–143, 2000. a
Wösten, J., Pachepsky, Y. A., and Rawls, W.: Pedotransfer functions:
bridging the gap between available basic soil data and missing soil hydraulic
characteristics, J. Hydrol., 251, 123–150, 2001. a
Wright, M. N. and Ziegler, A.: Ranger: a fast implementation of random forests
for high dimensional data in C++ and R, arXiv preprint arXiv:1508.04409,
2015. a
Yao, S., Zhang, T., Zhao, C., and Liu, X.: Saturated hydraulic conductivity of
soils in the Horqin Sand Land of Inner Mongolia, northern China,
Environ. Monit. Assess., 185, 6013–6021, 2013. a
Yasin, S. and Yulnafatmawita, Y.: Effects of Slope Position on Soil
Physico-chemical Characteristics Under Oil Palm Plantation in Wet Tropical
Area, West Sumatra Indonesia, AGRIVITA, J. Agric. Sci., 40,
328–337, 2018. a
Zakaria, S.: Water management in deep peat soils in Malaysia, PhD thesis,
Cranfield University, Cranfield, UK, 1992. a
Zhang, S., Xiahou, Y., Tang, H., Huang, L., Liu, X., and Wu, Q.: Study on the
spatially variable saturated hydraulic conductivity and deformation behavior
of accumulation reservoir landslide Based on surface nuclear magnetic
resonance survey, Adv. Civil Eng., 2018, 7290640, https://doi.org/10.1155/2018/7290640, 2018. a
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