Articles | Volume 13, issue 3
https://doi.org/10.5194/essd-13-1335-2021
© 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-13-1335-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
29 Mar 2021
Data description paper |
| 29 Mar 2021
| 29 Mar 2021
Two decades of distributed global radiation time series across a mountainous semiarid area (Sierra Nevada, Spain)
Fluvial Dynamics and Hydrology Research Group, Andalusian Institute for Earth System Research (IISTA), University of Córdoba, Córdoba, Spain
Rafael Pimentel
Fluvial Dynamics and Hydrology Research Group, Andalusian Institute for Earth System Research (IISTA), University of Córdoba, Córdoba, Spain
Department of Agronomy, Unit of Excellence María de Maeztu (DAUCO), University of Córdoba, Córdoba, Spain
María J. Polo
Fluvial Dynamics and Hydrology Research Group, Andalusian Institute for Earth System Research (IISTA), University of Córdoba, Córdoba, Spain
Department of Agronomy, Unit of Excellence María de Maeztu (DAUCO), University of Córdoba, Córdoba, Spain
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The GloLakes dataset provides historical and near-real-time time series of relative (i.e. storage change) and absolute (i.e. total stored volume) storage for more than 27 000 lakes worldwide using multiple sources of satellite data, including laser and radar altimetry and optical remote sensing. These data can help us understand the influence of climate variability and anthropogenic activities on water availability and system ecology over the last 4 decades.
Menaka Revel, Xudong Zhou, Prakat Modi, Jean-François Cretaux, Stephane Calmant, and Dai Yamazaki
Earth Syst. Sci. Data, 16, 75–88, https://doi.org/10.5194/essd-16-75-2024, https://doi.org/10.5194/essd-16-75-2024, 2024
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As satellite technology advances, there is an incredible amount of remotely sensed data for observing terrestrial water. Satellite altimetry observations of water heights can be utilized to calibrate and validate large-scale hydrodynamic models. However, because large-scale models are discontinuous, comparing satellite altimetry to predicted water surface elevation is difficult. We developed a satellite altimetry mapping procedure for high-resolution river network data.
Sibylle Kathrin Hassler, Rafael Bohn Reckziegel, Ben du Toit, Svenja Hoffmeister, Florian Kestel, Anton Kunneke, Rebekka Maier, and Jonathan Paul Sheppard
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-478, https://doi.org/10.5194/essd-2023-478, 2023
Revised manuscript accepted for ESSD
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Agroforestry systems (AFS) combine trees and crops within the same land unit providing a sustainable land use option which protects natural resources and biodiversity. Introducing trees into agricultural systems can positively affect water resources, soil characteristics, biomass and microclimate. We studied an AFS in South Africa in a multidisciplinary approach to assess the different influences and present the resulting dataset consisting of water, soil, tree and meteorological variables.
Marvin Höge, Martina Kauzlaric, Rosi Siber, Ursula Schönenberger, Pascal Horton, Jan Schwanbeck, Marius Günter Floriancic, Daniel Viviroli, Sibylle Wilhelm, Anna E. Sikorska-Senoner, Nans Addor, Manuela Brunner, Sandra Pool, Massimiliano Zappa, and Fabrizio Fenicia
Earth Syst. Sci. Data, 15, 5755–5784, https://doi.org/10.5194/essd-15-5755-2023, https://doi.org/10.5194/essd-15-5755-2023, 2023
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CAMELS-CH is an open large-sample hydro-meteorological data set that covers 331 catchments in hydrologic Switzerland from 1 January 1981 to 31 December 2020. It comprises (a) daily data of river discharge and water level as well as meteorologic variables like precipitation and temperature; (b) yearly glacier and land cover data; (c) static attributes of, e.g, topography or human impact; and (d) catchment delineations. CAMELS-CH enables water and climate research and modeling at catchment level.
Peter Burek and Mikhail Smilovic
Earth Syst. Sci. Data, 15, 5617–5629, https://doi.org/10.5194/essd-15-5617-2023, https://doi.org/10.5194/essd-15-5617-2023, 2023
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We address an annoying problem every grid-based hydrological model must solve to compare simulated and observed river discharge. First, station locations do not fit the high-resolution river network. We update the database with stations based on a new high-resolution network. Second, station locations do not work with a coarser grid-based network. We use a new basin shape similarity concept for station locations on a coarser grid, reducing the error of assigning stations to the wrong basin.
Najwa Sharaf, Jordi Prats, Nathalie Reynaud, Thierry Tormos, Rosalie Bruel, Tiphaine Peroux, and Pierre-Alain Danis
Earth Syst. Sci. Data, 15, 5631–5650, https://doi.org/10.5194/essd-15-5631-2023, https://doi.org/10.5194/essd-15-5631-2023, 2023
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We present a regional long-term (1959–2020) dataset (LakeTSim) of daily epilimnion and hypolimnion water temperature simulations in 401 French lakes. Overall, less uncertainty is associated with the epilimnion compared to the hypolimnion. LakeTSim is valuable for providing new insights into lake water temperature for assessing the impact of climate change, which is often hindered by the lack of observations, and for decision-making by stakeholders.
Jiabo Yin, Louise J. Slater, Abdou Khouakhi, Le Yu, Pan Liu, Fupeng Li, Yadu Pokhrel, and Pierre Gentine
Earth Syst. Sci. Data, 15, 5597–5615, https://doi.org/10.5194/essd-15-5597-2023, https://doi.org/10.5194/essd-15-5597-2023, 2023
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This study presents long-term (i.e., 1940–2022) and high-resolution (i.e., 0.25°) monthly time series of TWS anomalies over the global land surface. The reconstruction is achieved by using a set of machine learning models with a large number of predictors, including climatic and hydrological variables, land use/land cover data, and vegetation indicators (e.g., leaf area index). Our proposed GTWS-MLrec performs overall as well as, or is more reliable than, previous TWS datasets.
Shanlei Sun, Zaoying Bi, Jingfeng Xiao, Yi Liu, Ge Sun, Weimin Ju, Chunwei Liu, Mengyuan Mu, Jinjian Li, Yang Zhou, Xiaoyuan Li, Yibo Liu, and Haishan Chen
Earth Syst. Sci. Data, 15, 4849–4876, https://doi.org/10.5194/essd-15-4849-2023, https://doi.org/10.5194/essd-15-4849-2023, 2023
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Based on various existing datasets, we comprehensively considered spatiotemporal differences in land surfaces and CO2 effects on plant stomatal resistance to parameterize the Shuttleworth–Wallace model, and we generated a global 5 km ensemble mean monthly potential evapotranspiration (PET) dataset (including potential transpiration PT and soil evaporation PE) during 1982–2015. The new dataset may be used by academic communities and various agencies to conduct various studies.
Wei Wang, La Zhuo, Xiangxiang Ji, Zhiwei Yue, Zhibin Li, Meng Li, Huimin Zhang, Rong Gao, Chenjian Yan, Ping Zhang, and Pute Wu
Earth Syst. Sci. Data, 15, 4803–4827, https://doi.org/10.5194/essd-15-4803-2023, https://doi.org/10.5194/essd-15-4803-2023, 2023
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The consumptive water footprint of crop production (WFCP) measures blue and green evapotranspiration of either irrigated or rainfed crops in time and space. A gridded monthly WFCP dataset for China is established. There are four improvements from existing datasets: (i) distinguishing water supply modes and irrigation techniques, (ii) distinguishing evaporation and transpiration, (iii) consisting of both total and unit WFCP, and (iv) providing benchmarks for unit WFCP by climatic zones.
Emma L. Robinson, Matthew J. Brown, Alison L. Kay, Rosanna A. Lane, Rhian Chapman, Victoria A. Bell, and Eleanor M. Blyth
Earth Syst. Sci. Data, 15, 4433–4461, https://doi.org/10.5194/essd-15-4433-2023, https://doi.org/10.5194/essd-15-4433-2023, 2023
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This work presents two new Penman–Monteith potential evaporation datasets for the UK, calculated with the same methodology applied to historical climate data (Hydro-PE HadUK-Grid) and an ensemble of future climate projections (Hydro-PE UKCP18 RCM). Both include an optional correction for evaporation of rain that lands on the surface of vegetation. The historical data are consistent with existing PE datasets, and the future projections include effects of rising atmospheric CO2 on vegetation.
Xinyu Chen, Liguang Jiang, Yuning Luo, and Junguo Liu
Earth Syst. Sci. Data, 15, 4463–4479, https://doi.org/10.5194/essd-15-4463-2023, https://doi.org/10.5194/essd-15-4463-2023, 2023
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River flow is experiencing changes under the impacts of climate change and human activities. For example, flood events are occurring more often and are more destructive in many places worldwide. To deal with such issues, hydrologists endeavor to understand the features of extreme events as well as other hydrological changes. One key approach is analyzing flow characteristics, represented by hydrological indices. Building such a comprehensive global large-sample dataset is essential.
Tobias L. Hohenbrink, Conrad Jackisch, Wolfgang Durner, Kai Germer, Sascha C. Iden, Janis Kreiselmeier, Frederic Leuther, Johanna C. Metzger, Mahyar Naseri, and Andre Peters
Earth Syst. Sci. Data, 15, 4417–4432, https://doi.org/10.5194/essd-15-4417-2023, https://doi.org/10.5194/essd-15-4417-2023, 2023
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The article describes a collection of 572 data sets of soil water retention and unsaturated hydraulic conductivity data measured with state-of-the-art laboratory methods. Furthermore, the data collection contains basic soil properties such as soil texture and organic carbon content. We expect that the data will be useful for various important purposes, for example, the development of soil hydraulic property models and related pedotransfer functions.
Sebastien Klotz, Caroline Le Bouteiller, Nicolle Mathys, Firmin Fontaine, Xavier Ravanat, Jean-Emmanuel Olivier, Frédéric Liébault, Hugo Jantzi, Patrick Coulmeau, Didier Richard, Jean-Pierre Cambon, and Maurice Meunier
Earth Syst. Sci. Data, 15, 4371–4388, https://doi.org/10.5194/essd-15-4371-2023, https://doi.org/10.5194/essd-15-4371-2023, 2023
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Mountain badlands are places of intense erosion. They deliver large amounts of sediment to river systems, with consequences for hydropower sustainability, habitat quality and biodiversity, and flood hazard and river management. Draix-Bleone Observatory was created in 1983 to understand and quantify sediment delivery from such badland areas. Our paper describes how water and sediment fluxes have been monitored for almost 40 years in the small mountain catchments of this observatory.
Gopi Goteti
Earth Syst. Sci. Data, 15, 4389–4415, https://doi.org/10.5194/essd-15-4389-2023, https://doi.org/10.5194/essd-15-4389-2023, 2023
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Data on river gauging stations, river basin boundaries and river flow paths are critical for hydrological analyses, but existing data for India's river basins have limited availability and reliability. This work fills the gap by building a new dataset. Data for 645 stations in 15 basins of India were compiled and checked against global data sources; data were supplemented with additional information where needed. This dataset will serve as a reliable building block in hydrological analyses.
Md Safat Sikder, Jida Wang, George H. Allen, Yongwei Sheng, Dai Yamazaki, Chunqiao Song, Meng Ding, Jean-François Crétaux, and Tamlin M. Pavelsky
Earth Syst. Sci. Data, 15, 3483–3511, https://doi.org/10.5194/essd-15-3483-2023, https://doi.org/10.5194/essd-15-3483-2023, 2023
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We introduce Lake-TopoCat to reveal detailed lake hydrography information. It contains the location of lake outlets, the boundary of lake catchments, and a wide suite of attributes that depict detailed lake drainage relationships. It was constructed using lake boundaries from a global lake dataset, with the help of high-resolution hydrography data. This database may facilitate a variety of applications including water quality, agriculture and fisheries, and integrated lake–river modeling.
Maik Heistermann, Till Francke, Lena Scheiffele, Katya Dimitrova Petrova, Christian Budach, Martin Schrön, Benjamin Trost, Daniel Rasche, Andreas Güntner, Veronika Döpper, Michael Förster, Markus Köhli, Lisa Angermann, Nikolaos Antonoglou, Manuela Zude-Sasse, and Sascha E. Oswald
Earth Syst. Sci. Data, 15, 3243–3262, https://doi.org/10.5194/essd-15-3243-2023, https://doi.org/10.5194/essd-15-3243-2023, 2023
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Cosmic-ray neutron sensing (CRNS) allows for the non-invasive estimation of root-zone soil water content (SWC). The signal observed by a single CRNS sensor is influenced by the SWC in a radius of around 150 m (the footprint). Here, we have put together a cluster of eight CRNS sensors with overlapping footprints at an agricultural research site in north-east Germany. That way, we hope to represent spatial SWC heterogeneity instead of retrieving just one average SWC estimate from a single sensor.
Benjamin M. Kitambo, Fabrice Papa, Adrien Paris, Raphael M. Tshimanga, Frederic Frappart, Stephane Calmant, Omid Elmi, Ayan Santos Fleischmann, Melanie Becker, Mohammad J. Tourian, Rômulo A. Jucá Oliveira, and Sly Wongchuig
Earth Syst. Sci. Data, 15, 2957–2982, https://doi.org/10.5194/essd-15-2957-2023, https://doi.org/10.5194/essd-15-2957-2023, 2023
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The surface water storage (SWS) in the Congo River basin (CB) remains unknown. In this study, the multi-satellite and hypsometric curve approaches are used to estimate SWS in the CB over 1992–2015. The results provide monthly SWS characterized by strong variability with an annual mean amplitude of ~101 ± 23 km3. The evaluation of SWS against independent datasets performed well. This SWS dataset contributes to the better understanding of the Congo basin’s surface hydrology using remote sensing.
Natalie Lützow, Georg Veh, and Oliver Korup
Earth Syst. Sci. Data, 15, 2983–3000, https://doi.org/10.5194/essd-15-2983-2023, https://doi.org/10.5194/essd-15-2983-2023, 2023
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Glacier lake outburst floods (GLOFs) are a prominent natural hazard, and climate change may change their magnitude, frequency, and impacts. A global, literature-based GLOF inventory is introduced, entailing 3151 reported GLOFs. The reporting density varies temporally and regionally, with most cases occurring in NW North America. Since 1900, the number of yearly documented GLOFs has increased 6-fold. However, many GLOFs have incomplete records, and we call for a systematic reporting protocol.
Hanieh Seyedhashemi, Florentina Moatar, Jean-Philippe Vidal, and Dominique Thiéry
Earth Syst. Sci. Data, 15, 2827–2839, https://doi.org/10.5194/essd-15-2827-2023, https://doi.org/10.5194/essd-15-2827-2023, 2023
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This paper presents a past and future dataset of daily time series of discharge and stream temperature for 52 278 reaches over the Loire River basin (100 000 km2) in France, using thermal and hydrological models. Past data are provided over 1963–2019. Future data are available over the 1976–2100 period under different future climate change models (warm and wet, intermediate, and hot and dry) and scenarios (optimistic, intermediate, and pessimistic).
Youjiang Shen, Karina Nielsen, Menaka Revel, Dedi Liu, and Dai Yamazaki
Earth Syst. Sci. Data, 15, 2781–2808, https://doi.org/10.5194/essd-15-2781-2023, https://doi.org/10.5194/essd-15-2781-2023, 2023
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Res-CN fills a gap in a comprehensive and extensive dataset of reservoir-catchment characteristics for 3254 Chinese reservoirs with 512 catchment-level attributes and significantly enhanced spatial and temporal coverage (e.g., 67 % increase in water level and 225 % in storage anomaly) of time series of reservoir water level (data available for 20 % of 3254 reservoirs), water area (99 %), storage anomaly (92 %), and evaporation (98 %), supporting a wide range of applications and disciplines.
Hui Zheng, Wenli Fei, Zong-Liang Yang, Jiangfeng Wei, Long Zhao, Lingcheng Li, and Shu Wang
Earth Syst. Sci. Data, 15, 2755–2780, https://doi.org/10.5194/essd-15-2755-2023, https://doi.org/10.5194/essd-15-2755-2023, 2023
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An ensemble of evapotranspiration, runoff, and water storage is estimated here using the Noah-MP land surface model by perturbing model parameterization schemes. The data could be beneficial for monitoring and understanding the variability of water resources. Model developers could also gain insights by intercomparing the ensemble members.
Alison L. Kay, Victoria A. Bell, Helen N. Davies, Rosanna A. Lane, and Alison C. Rudd
Earth Syst. Sci. Data, 15, 2533–2546, https://doi.org/10.5194/essd-15-2533-2023, https://doi.org/10.5194/essd-15-2533-2023, 2023
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Climate change will affect the water cycle, including river flows and soil moisture. We have used both observational data (1980–2011) and the latest UK climate projections (1980–2080) to drive a national-scale grid-based hydrological model. The data, covering Great Britain and Northern Ireland, suggest potential future decreases in summer flows, low flows, and summer/autumn soil moisture, and possible future increases in winter and high flows. Society must plan how to adapt to such impacts.
Jamie Hannaford, Jonathan D. Mackay, Matthew Ascott, Victoria A. Bell, Thomas Chitson, Steven Cole, Christian Counsell, Mason Durant, Christopher R. Jackson, Alison L. Kay, Rosanna A. Lane, Majdi Mansour, Robert Moore, Simon Parry, Alison C. Rudd, Michael Simpson, Katie Facer-Childs, Stephen Turner, John R. Wallbank, Steven Wells, and Amy Wilcox
Earth Syst. Sci. Data, 15, 2391–2415, https://doi.org/10.5194/essd-15-2391-2023, https://doi.org/10.5194/essd-15-2391-2023, 2023
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The eFLaG dataset is a nationally consistent set of projections of future climate change impacts on hydrology. eFLaG uses the latest available UK climate projections (UKCP18) run through a series of computer simulation models which enable us to produce future projections of river flows, groundwater levels and groundwater recharge. These simulations are designed for use by water resource planners and managers but could also be used for a wide range of other purposes.
Fabian A. Gomez, Sang-Ki Lee, Charles A. Stock, Andrew C. Ross, Laure Resplandy, Samantha A. Siedlecki, Filippos Tagklis, and Joseph E. Salisbury
Earth Syst. Sci. Data, 15, 2223–2234, https://doi.org/10.5194/essd-15-2223-2023, https://doi.org/10.5194/essd-15-2223-2023, 2023
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We present a river chemistry and discharge dataset for 140 rivers in the United States, which integrates information from the Water Quality Database of the US Geological Survey (USGS), the USGS’s Surface-Water Monthly Statistics for the Nation, and the U.S. Army Corps of Engineers. This dataset includes dissolved inorganic carbon and alkalinity, two key properties to characterize the carbonate system, as well as nutrient concentrations, such as nitrate, phosphate, and silica.
Yufang Zhang, Shunlin Liang, Han Ma, Tao He, Qian Wang, Bing Li, Jianglei Xu, Guodong Zhang, Xiaobang Liu, and Changhao Xiong
Earth Syst. Sci. Data, 15, 2055–2079, https://doi.org/10.5194/essd-15-2055-2023, https://doi.org/10.5194/essd-15-2055-2023, 2023
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Soil moisture observations are important for a range of earth system applications. This study generated a long-term (2000–2020) global seamless soil moisture product with both high spatial and temporal resolutions (1 km, daily) using an XGBoost model and multisource datasets. Evaluation of this product against dense in situ soil moisture datasets and microwave soil moisture products showed that this product has reliable accuracy and more complete spatial coverage.
Heidi Kreibich, Kai Schröter, Giuliano Di Baldassarre, Anne F. Van Loon, Maurizio Mazzoleni, Guta Wakbulcho Abeshu, Svetlana Agafonova, Amir AghaKouchak, Hafzullah Aksoy, Camila Alvarez-Garreton, Blanca Aznar, Laila Balkhi, Marlies H. Barendrecht, Sylvain Biancamaria, Liduin Bos-Burgering, Chris Bradley, Yus Budiyono, Wouter Buytaert, Lucinda Capewell, Hayley Carlson, Yonca Cavus, Anaïs Couasnon, Gemma Coxon, Ioannis Daliakopoulos, Marleen C. de Ruiter, Claire Delus, Mathilde Erfurt, Giuseppe Esposito, Didier François, Frédéric Frappart, Jim Freer, Natalia Frolova, Animesh K. Gain, Manolis Grillakis, Jordi Oriol Grima, Diego A. Guzmán, Laurie S. Huning, Monica Ionita, Maxim Kharlamov, Dao Nguyen Khoi, Natalie Kieboom, Maria Kireeva, Aristeidis Koutroulis, Waldo Lavado-Casimiro, Hong-Yi Li, Maria Carmen LLasat, David Macdonald, Johanna Mård, Hannah Mathew-Richards, Andrew McKenzie, Alfonso Mejia, Eduardo Mario Mendiondo, Marjolein Mens, Shifteh Mobini, Guilherme Samprogna Mohor, Viorica Nagavciuc, Thanh Ngo-Duc, Huynh Thi Thao Nguyen, Pham Thi Thao Nhi, Olga Petrucci, Nguyen Hong Quan, Pere Quintana-Seguí, Saman Razavi, Elena Ridolfi, Jannik Riegel, Md Shibly Sadik, Nivedita Sairam, Elisa Savelli, Alexey Sazonov, Sanjib Sharma, Johanna Sörensen, Felipe Augusto Arguello Souza, Kerstin Stahl, Max Steinhausen, Michael Stoelzle, Wiwiana Szalińska, Qiuhong Tang, Fuqiang Tian, Tamara Tokarczyk, Carolina Tovar, Thi Van Thu Tran, Marjolein H. J. van Huijgevoort, Michelle T. H. van Vliet, Sergiy Vorogushyn, Thorsten Wagener, Yueling Wang, Doris E. Wendt, Elliot Wickham, Long Yang, Mauricio Zambrano-Bigiarini, and Philip J. Ward
Earth Syst. Sci. Data, 15, 2009–2023, https://doi.org/10.5194/essd-15-2009-2023, https://doi.org/10.5194/essd-15-2009-2023, 2023
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As the adverse impacts of hydrological extremes increase in many regions of the world, a better understanding of the drivers of changes in risk and impacts is essential for effective flood and drought risk management. We present a dataset containing data of paired events, i.e. two floods or two droughts that occurred in the same area. The dataset enables comparative analyses and allows detailed context-specific assessments. Additionally, it supports the testing of socio-hydrological models.
Rogier van der Velde, Harm-Jan F. Benninga, Bas Retsios, Paul C. Vermunt, and M. Suhyb Salama
Earth Syst. Sci. Data, 15, 1889–1910, https://doi.org/10.5194/essd-15-1889-2023, https://doi.org/10.5194/essd-15-1889-2023, 2023
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From 2009, a network of 20 profile soil moisture and temperature monitoring stations has been operational in the Twente region, east of the Netherlands. In addition, field campaigns have been conducted covering four growing seasons during which soil moisture was measured near 12 monitoring stations. We describe the monitoring network and field campaigns, and we provide an overview of open third-party datasets that may support the use of the Twente datasets.
Jana Erdbrügger, Ilja van Meerveld, Jan Seibert, and Kevin Bishop
Earth Syst. Sci. Data, 15, 1779–1800, https://doi.org/10.5194/essd-15-1779-2023, https://doi.org/10.5194/essd-15-1779-2023, 2023
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Groundwater can respond quickly to precipitation and is the main source of streamflow in most catchments in humid, temperate climates. To better understand shallow groundwater dynamics, we installed a network of groundwater wells in two boreal headwater catchments in Sweden. We recorded groundwater levels in 75 wells for 2 years and sampled the water and analyzed its chemical composition in one summer. This paper describes these datasets.
Oliver Wigmore and Noah P. Molotch
Earth Syst. Sci. Data, 15, 1733–1747, https://doi.org/10.5194/essd-15-1733-2023, https://doi.org/10.5194/essd-15-1733-2023, 2023
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We flew a custom-built drone fitted with visible, near-infrared and thermal cameras every week over a summer season at Niwot Ridge in Colorado's alpine tundra. We processed these images into seamless orthomosaics that record changes in snow cover, vegetation health and the movement of water over the land surface. These novel datasets provide a unique centimetre resolution snapshot of ecohydrologic processes, connectivity and spatial and temporal heterogeneity in the alpine zone.
Martine Lizotte, Bennet Juhls, Atsushi Matsuoka, Philippe Massicotte, Gaëlle Mével, David Obie James Anikina, Sofia Antonova, Guislain Bécu, Marine Béguin, Simon Bélanger, Thomas Bossé-Demers, Lisa Bröder, Flavienne Bruyant, Gwénaëlle Chaillou, Jérôme Comte, Raoul-Marie Couture, Emmanuel Devred, Gabrièle Deslongchamps, Thibaud Dezutter, Miles Dillon, David Doxaran, Aude Flamand, Frank Fell, Joannie Ferland, Marie-Hélène Forget, Michael Fritz, Thomas J. Gordon, Caroline Guilmette, Andrea Hilborn, Rachel Hussherr, Charlotte Irish, Fabien Joux, Lauren Kipp, Audrey Laberge-Carignan, Hugues Lantuit, Edouard Leymarie, Antonio Mannino, Juliette Maury, Paul Overduin, Laurent Oziel, Colin Stedmon, Crystal Thomas, Lucas Tisserand, Jean-Éric Tremblay, Jorien Vonk, Dustin Whalen, and Marcel Babin
Earth Syst. Sci. Data, 15, 1617–1653, https://doi.org/10.5194/essd-15-1617-2023, https://doi.org/10.5194/essd-15-1617-2023, 2023
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Permafrost thaw in the Mackenzie Delta region results in the release of organic matter into the coastal marine environment. What happens to this carbon-rich organic matter as it transits along the fresh to salty aquatic environments is still underdocumented. Four expeditions were conducted from April to September 2019 in the coastal area of the Beaufort Sea to study the fate of organic matter. This paper describes a rich set of data characterizing the composition and sources of organic matter.
Doerthe Tetzlaff, Aaron Smith, Lukas Kleine, Hauke Daempfling, Jonas Freymueller, and Chris Soulsby
Earth Syst. Sci. Data, 15, 1543–1554, https://doi.org/10.5194/essd-15-1543-2023, https://doi.org/10.5194/essd-15-1543-2023, 2023
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We present a comprehensive set of ecohydrological hydrometric and stable water isotope data of 2 years of data. The data set is unique as the different compartments of the landscape were sampled and the effects of a prolonged drought (2018–2020) captured by a marked negative rainfall anomaly (the most severe regional drought of the 21st century). Thus, the data allow the drought effects on water storage, flux and age dynamics, and persistence of lowland landscapes to be investigated.
Jacopo Dari, Luca Brocca, Sara Modanesi, Christian Massari, Angelica Tarpanelli, Silvia Barbetta, Raphael Quast, Mariette Vreugdenhil, Vahid Freeman, Anaïs Barella-Ortiz, Pere Quintana-Seguí, David Bretreger, and Espen Volden
Earth Syst. Sci. Data, 15, 1555–1575, https://doi.org/10.5194/essd-15-1555-2023, https://doi.org/10.5194/essd-15-1555-2023, 2023
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Irrigation is the main source of global freshwater consumption. Despite this, a detailed knowledge of irrigation dynamics (i.e., timing, extent of irrigated areas, and amounts of water used) are generally lacking worldwide. Satellites represent a useful tool to fill this knowledge gap and monitor irrigation water from space. In this study, three regional-scale and high-resolution (1 and 6 km) products of irrigation amounts estimated by inverting the satellite soil moisture signals are presented.
Gifty Attiah, Homa Kheyrollah Pour, and K. Andrea Scott
Earth Syst. Sci. Data, 15, 1329–1355, https://doi.org/10.5194/essd-15-1329-2023, https://doi.org/10.5194/essd-15-1329-2023, 2023
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Lake surface temperature (LST) is a significant indicator of climate change and influences local weather and climate. This study developed a LST dataset retrieved from Landsat archives for 535 lakes across the North Slave Region, NWT, Canada. The data consist of individual NetCDF files for all observed days for each lake. The North Slave LST dataset will provide communities, scientists, and stakeholders with the changing spatiotemporal trends of LST for the past 38 years (1984–2021).
Aolin Jia, Shunlin Liang, Dongdong Wang, Lei Ma, Zhihao Wang, and Shuo Xu
Earth Syst. Sci. Data, 15, 869–895, https://doi.org/10.5194/essd-15-869-2023, https://doi.org/10.5194/essd-15-869-2023, 2023
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Satellites are now producing multiple global land surface temperature (LST) products; however, they suffer from data gaps caused by cloud cover, seriously restricting the applications, and few products provide gap-free global hourly LST. We produced global hourly, 5 km, all-sky LST data from 2011 to 2021 using geostationary and polar-orbiting satellite data. Based on the assessment, it has high accuracy and can be used to estimate evapotranspiration, drought, etc.
Jianxin Zhang, Kai Liu, and Ming Wang
Earth Syst. Sci. Data, 15, 521–540, https://doi.org/10.5194/essd-15-521-2023, https://doi.org/10.5194/essd-15-521-2023, 2023
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This study successfully extracted global flood days based on gravity satellite and precipitation data between 60° S and 60° N from 1 April 2002 to 31 August 2016. Our flood days data performed well compared with current available observations. This provides an important data foundation for analyzing the spatiotemporal distribution of large-scale floods and exploring the impact of ocean–atmosphere oscillations on floods in different regions.
Niek Jesse Speetjens, Gustaf Hugelius, Thomas Gumbricht, Hugues Lantuit, Wouter R. Berghuijs, Philip A. Pika, Amanda Poste, and Jorien E. Vonk
Earth Syst. Sci. Data, 15, 541–554, https://doi.org/10.5194/essd-15-541-2023, https://doi.org/10.5194/essd-15-541-2023, 2023
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The Arctic is rapidly changing. Outside the Arctic, large databases changed how researchers look at river systems and land-to-ocean processes. We present the first integrated pan-ARctic CAtchments summary DatabasE (ARCADE) (> 40 000 river catchments draining into the Arctic Ocean). It incorporates information about the drainage area with 103 geospatial, environmental, climatic, and physiographic properties and covers small watersheds , which are especially subject to change, at a high resolution
Ionut Cristi Nicu, Letizia Elia, Lena Rubensdotter, Hakan Tanyaş, and Luigi Lombardo
Earth Syst. Sci. Data, 15, 447–464, https://doi.org/10.5194/essd-15-447-2023, https://doi.org/10.5194/essd-15-447-2023, 2023
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Thaw slumps and thermo-erosion gullies are cryospheric hazards that are widely encountered in Nordenskiöld Land, the largest and most compact ice-free area of the Svalbard Archipelago. By statistically analysing the landscape characteristics of locations where these processes occurred, we can estimate where they may occur in the future. We mapped 562 thaw slumps and 908 thermo-erosion gullies and used them to create the first multi-hazard susceptibility map in a high-Arctic environment.
Youjiang Shen, Dedi Liu, Liguang Jiang, Karina Nielsen, Jiabo Yin, Jun Liu, and Peter Bauer-Gottwein
Earth Syst. Sci. Data, 14, 5671–5694, https://doi.org/10.5194/essd-14-5671-2022, https://doi.org/10.5194/essd-14-5671-2022, 2022
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A data gap of 338 Chinese reservoirs with their surface water area (SWA), water surface elevation (WSE), and reservoir water storage change (RWSC) during 2010–2021. Validation against the in situ observations of 93 reservoirs indicates the relatively high accuracy and reliability of the datasets. The unique and novel remotely sensed dataset would benefit studies involving many aspects (e.g., hydrological models, water resources related studies, and more).
Cited articles
Aguilar, C., Herrero, J., and Polo, M. J.: Topographic effects on solar radiation distribution in mountainous watersheds and their influence on reference evapotranspiration estimates at watershed scale, Hydrol. Earth Syst. Sci., 14, 2479–2494, https://doi.org/10.5194/hess-14-2479-2010, 2010.
Aguilar, C., Montanari, A., and Polo, M.-J.: Real-time updating of the flood frequency distribution through data assimilation, Hydrol. Earth Syst. Sci., 21, 3687–3700, https://doi.org/10.5194/hess-21-3687-2017, 2017.
Aguilar, C., Pimentel, R., and Polo, M. J.: Time series of distributed global radiation data in Sierra Nevada (Spain) at different scales from historical weather stations, PANGAEA,
https://doi.org/10.1594/PANGAEA.921012, 2021.
Allen, R. G.: Self-calibrating method for estimating solar radiation from airtemperature, J. Hydrol. Eng., 2, 56–67,
https://doi.org/10.1061/(ASCE)1084-0699(1997)2:2(56), 1997.
Anderson, R. S., Jiménez-Moreno, G., Carrión, J. S., and
Pérez-Martínez, C.: Postglacial history of alpine vegetation, fire,
and climate from Laguna de Río Seco, Sierra Nevada, southern Spain,
Quaternary Sci. Rev., 30, 1615–1629,
https://doi.org/10.1016/j.quascirev.2011.03.005, 2011.
Batllés, J., Bosch, J.L., Tovar-Pescador, J., Martínez-Durbán,
M., Ortega, R., and Miralles, I.: Determination of atmospheric parameters to
estimate global radiation in areas of complex topography: Generation of
global irradiation map, Energy Convers. Manage., 49, 336–345,
https://doi.org/10.1016/j.enconman.2007.06.012, 2008.
Bechini, L., Ducco, G., Donatelli, M., and Stein, A.: Modelling,
interpolation and stochastic simulation in space and time of global solar
radiation, Agric. Ecosyst. Environ., 81, 29–42,
https://doi.org/10.1016/S0167-8809(00)00170-5, 2000.
Blanca, G., Cueto, M., Martínez-Lirola, M. J., and Molero-Mesa, J.: Threatened vascular flora of Sierra Nevada (Southern Spain), Biol. Conserv., 85, 269–285, https://doi.org/10.1016/S0006-3207(97)00169-9, 1998.
Bonet-García, F. J., Pérez-Luque, A. J., Moreno-Llorca, R. A.,
Pérez-Pérez, R., Puerta-Piñero, C., and Zamora, R.: Protected
areas as elicitors of human well-being in a developed region: a new
synthetic (socioeconomic) approach, Biol. Conserv., 187, 221–229,
https://doi.org/10.1016/j.biocon.2015.04.027, 2015.
Bosch, J. L., López, G., and Batlles, F. J.: Daily solar irradiation estimation over a mountainous area using artificial neural networks, Renew. Energy, 33, 1622–1628, https://doi.org/10.1016/j.renene.2007.09.012, 2008.
Brest, C. L. and Goward, S. N.: Deriving surface albedo measurements from narrow band satellite data, Int. J. Remote Sens., 8, 351–367, https://doi.org/10.1080/01431168708948646, 1987.
Bristow, K. L. and Campbell, G. S.: On the relationship between incoming solar radiation and daily maximum and minimum temperature, Agr. Forest Meteorol., 31, 159–166, https://doi.org/10.1016/0168-1923(84)90017-0, 1984.
Brockwell, P. J. and Davis, R. A.: Introduction to Time Series and Forecasting, vol. 1, Springer texts in statistics, Springer, Cham, https://doi.org/10.1007/978-3-319-29854-2_5, 2002.
Cañadas, E. M., Fenu, G., Peñas, J., Lorite, J., Mattana, E., and Bacchetta, G.: Hotspots within hotspots: 445 Endemic plant richness, environmental drivers, and implications for conservation, Biol. Conserv., 170, 282–291, https://doi.org/10.1016/j.biocon.2013.12.007,
2014.
Chen, J. M., Liu, J., Cihlar, J., and Goulden, M. L.: Daily canopy
photosynthesis model through temporal and spatial scaling for remote sensing
applications, Ecol. Modell., 124, 99–119,
https://doi.org/10.1016/S0304-3800(99)00156-8, 1999.
Chen, X., Su, Z., Ma, Y., Yang, K., and Wang, B.: Estimation of surface energy fluxes under complex terrain of Mt. Qomolangma over the Tibetan Plateau, Hydrol. Earth Syst. Sci., 17, 1607–1618, https://doi.org/10.5194/hess-17-1607-2013, 2013.
Diodato, N. and Bellocchi, G.: Modelling solar radiation over complex
terrains using monthly climatological data, Agr. Forest Meteorol. 144,
111–126, https://doi.org/10.1016/j.agrformet.2007.02.001, 2007.
Donatelli, M., Bellocchi, G., and Fontana, F.: RadEst3.00: software to estimate daily radiation data from commonly available meteorological variables, Eur. J. Agron., 18, 363–367,
https://doi.org/10.1016/S1161-0301(02)00130-2, 2003.
Donatelli, M., Carlini, L., and Bellocchi. G.: A software component for estimating solar radiation, Environ. Modell. Softw., 21, 411–416, https://doi.org/10.1016/j.envsoft.2005.04.002, 2006.
Dozier, J. and Frew, J.: Rapid calculation of terrain parameters for radiation modeling from digital elevation data, IEEE T. Geosci. Remote, 28, 963–969, https://doi.org/10.1109/36.58986, 1990.
Dozier, J., Bruno, J., and Downey, P.: A faster solution to the horizon problem, Comp. Geosci., 7, 145–151,
https://doi.org/10.1016/0098-3004(81)90026-1, 1981.
Dubayah, R. C.: Estimating net solar radiation using Landsat Thematic Mapper and digital elevation data, Water Resour. Res., 28, 2469–2484, https://doi.org/10.1029/92WR00772, 1992.
Dubayah, R. C.: Modeling a solar radiation topo climatology for the Rio Grande river watershed, J. Veg. Sci. 5, 627–640,
https://doi.org/10.2307/3235879, 1994.
Dubayah, R. and Rich, P. M.: Topographic solar radiation models for GIS, Int. J. Geogr. Inf. Syst., 9, 405–413, https://doi.org/10.1080/02693799508902046, 1995.
Dubayah, R. C. and van Katwijk, V.: The topographic distribution of annualincoming solar radiation in the Rio Grande river basin, Geophys. Res. Lett., 19, 2231–2234, https://doi.org/10.1029/92GL02284, 1992.
El Ouderni, A. R., Maatallah, T., El Alimi, S., and Ben Nassrallah, S.: Experimental assessment of the solar energy potential in the gulf of Tunis, Tunisia, Renew. Sustain. Energy Rev., 20, 155–168,
https://doi.org/10.1016/j.rser.2012.11.016, 2013.
Fu, P. and Rich, P. M.: A geometric solar radiation model and its
applications in agriculture and forestry, Proceedings of the Second
International Conference on Geospatial Information in Agriculture and
Forestry, Lake Buena Vista, 10–12 January 2000, I-357-364, 2000a.
Fu, P. and Rich, P. M.: The Solar Analyst 1.0 Manual, Helios Environmental Modeling Institute (HEMI), USA, 2000b.
Fu, P. and Rich, P. M.: A Geometric Solar Radiation Model with Applications
in Agriculture and Forestry, Comput. Electr. Agric., 37, 25–35,
https://doi.org/10.1016/S0168-1699(02)00115-1, 2002.
Geiger, M., Diabate, L., Menard, L., and Wald, L.: A web service for
controlling the quality of measurements of global solar irradiation, Sol.
Energy, 73, 474–480, https://doi.org/10.1016/S0038-092X(02)00121-4, 2002.
Goldberg, V. and Häntzschel, J.: Application of a radiation model for small-scale complex terrain in a GIS environment, Meteorol. Z.,
11, 119–128, https://doi.org/10.1127/0941-2948/2002/0011-0119, 2002.
Hargreaves, G. H. and Samani, Z. A.: Estimating potential evapotranspiration, J. Irrig. Drain. Engin., 108, 223–230, 1982.
Herrero, J. and Polo, M. J.: Parameterization of atmospheric longwave emissivity in a mountainous site for all sky conditions, Hydrol. Earth Syst. Sci., 16, 3139–3147, https://doi.org/10.5194/hess-16-3139-2012, 2012.
Herrero, J. and Polo, M. J.: Evaposublimation from the snow in the Mediterranean mountains of Sierra Nevada (Spain), The Cryosphere, 10, 2981–2998, https://doi.org/10.5194/tc-10-2981-2016, 2016.
Herrero, J., Polo, M. J., Moñino, A., and Losada, M. A.: An energy balance snowmelt model in a Mediterranean site, J. Hydrol., 371, 98–107, https://doi.org/10.1016/j.jhydrol.2009.03.021, 2009.
Hewitt, G. M.: Mediterranean Peninsulas: the evolution of hotspots, in: Biodiversity hotspots: distribution and
protection of conservation priority area, edited by: Zachos, F. E. and Habel, J. C., Springer, Berlin, 123–147, 2011.
Heywood, V. H.: The Mediterranean flora in the context of world diversity, Ecol. Mediterranea, 21, 11–18, 1995.
Ineichen, P. and Pérez, R.: A new airmass independent formulation for the Linke Turbidity coefficient, Sol. Energy, 73, 151–157, https://doi.org/10.1016/S0038-092X(02)00045-2, 2002.
Iqbal, M.: An introduction to solar radiation, Academic Press, Ontario, 1983.
Jacovides, C. P., Hadjioannou, L., Pashiardis, S., and Stefanou, L.: On the diffuse fraction of daily and monthly global radiation for the island of Cyprus, Sol. Energy, 56, 565–572,
https://doi.org/10.1016/0038-092X(96)81162-5, 1996.
Journée, M. and Bertrand, C.: Quality control of solar radiation data within the RMIB solar measurements network, Sol. Energy, 85, 72–86, https://doi.org/10.1016/j.solener.2010.10.021, 2011.
Kasten, F. and Young, A. T.: Revised optical air mass tables and
approximation formula, Appl. Opt., 28, 4735–4738,
https://doi.org/10.1364/AO.28.004735, 1989.
Liu, J. D., Liu, J. M., Linderholm, H. W., Chen, D. L., Yu, Q., Wu, D. R., and Haginoya, S.: Observation and calculation of the solar radiation on the Tibetan Plateau, Energ. Convers. Manag., 57, 23–32,
https://doi.org/10.1016/j.enconman.2011.12.007, 2012.
Liu, M., Bárdossy, A., Li, J., and Jiang, Y.: GIS-based modelling of topography-induced solar radiation variability in complex terrain for data sparse region, Int. J. Geogr. Inf. Sci., 26, 1281–1308, https://doi.org/10.1080/13658816.2011.641969, 2012.
Liu, Y., Zhang, P., Nie, L., Xu, J., Lu, X., and Li, S.: Exploration of the Snow Ablation Process in the Semiarid Region in China by Combining Site-Based Measurements and the Utah Energy Balance Model-A Case Study of the Manas River Basin, Water-Sui., 11, 1058, https://doi.org/10.3390/w11051058, 2019.
MacDonell, S., Kinnard, C., Mölg, T., Nicholson, L., and Abermann, J.: Meteorological drivers of ablation processes on a cold glacier in the semi-arid Andes of Chile, The Cryosphere, 7, 1513–1526, https://doi.org/10.5194/tc-7-1513-2013, 2013.
Mamassis, N., Efstratiadis, A., and Apostolidou, I. G.: Topography-adjusted solar radiation indices and their importance in hydrology, Hydrol. Sci. J., 57, 756–775, https://doi.org/10.1080/02626667.2012.670703, 2012.
Martínez-Durbán, M., Zarzalejo, L. F., Bosch, J. L., Rosiek, S., Polo, J., and Batlles, F. J.: Estimation of global daily irradiation in complex topography zones using digital elevation models and meteosat images: Comparison of the results, Energ. Convers. Manage. 50, 2233–2238, https://doi.org/10.1016/j.enconman.2009.05.009, 2009.
Moradi, I.: Quality control of global solar radiation using sunshine duration hours, Energy, 34, 1–6,
https://doi.org/10.1016/j.energy.2008.09.006, 2009.
Mullen, R., Marshall, L., and McGlynn, B.: A Beta Regression Model for Improved Solar Radiation Predictions, J. Appl. Meteor. Climatol., 52,
1923–1938, https://doi.org/10.1175/JAMC-D-12-038.1, 2013.
Muneer, T., Younes, S., and Munawwar, S.: Discourses on solar radiation, Renew. Sust. Energy Rev., 11, 551–602,
https://doi.org/10.1016/j.rser.2005.05.006, 2007.
Myers, N., Mittermeier, R. A., Mittermeier, C. G., da Fonseca, G. A. B., and Kent, J.: Biodiversity hotspots for conservation priorities, Nature, 403, 853–858, https://doi.org/10.1038/35002501, 2000.
O'Farrell, P. J., Reyers, B., Le Maitre, D. C., Milton, S. J., Egoh, B., Maherry, A., Colvin, C., Atkinson, D., De Lange, W., Blignaut, J. N., and Cowling, R. M.: Multi-functional landscapes in semi arid environments: implications for biodiversity and ecosystem services, Landscape Ecol., 25, 1231–1246, https://doi.org/10.1007/s10980-010-9495-9, 2010.
Oliphant, A. J., Spronken-Smith, R. A., Sturman, A. P., and Owens, I. F.: Spatial Variability of Surface Radiation Fluxes in Mountainous Terrain, J. Appl. Meteorol., 42, 113–128,
https://doi.org/10.1175/1520-0450(2003)042<0113:SVOSRF>2.0.CO;2, 2003.
Pauli, H., Gottfried, M., Dullinger, S., Abdaladze, O., Akhalkatsi, M., Benito Alonso, J. L., Coldea, G., Dick, J., Erschbamer, B., Fernández Calzado, R., Ghosn, D., Holten, J. I., Kanka, R., Kazakis, G., Kollár, J., Larsson, P., Moiseev, P., Moiseev, D., Molau, U., Molero Mesa, J., Nagy, L., Pelino, G., Puşcaş, M., Rossi, G., Stanisci, A., Syverhuset, A.O., Theurillat, J. P., Tomaselli, M., Unterluggauer, P., Villar, L., Vittoz, P., and Grabherr, G.: Recent plant diversity changes on Europe's mountain summits, Science, 336, 353–355, https://doi.org/10.1126/science.1219033, 2012.
Pérez-Palazón, M. J., Pimentel, R., Herrero, J., Aguilar, C., Perales, J. M., and Polo, M. J.: Extreme values of snow-related variables in Mediterranean regions: trends and long-term forecasting in Sierra Nevada (Spain), Proc. IAHS, 369, 157–162, https://doi.org/10.5194/piahs-369-157-2015, 2015.
Pérez-Palazón, M. J., Pimentel, R., and Polo, M. J.: Climate Trends Impact on the Snowfall Regime in Mediterranean Mountain Areas: Future Scenario Assessment in Sierra Nevada (Spain), Water-Sui., 10, 720, https://doi.org/10.3390/w10060720, 2018.
Pimentel, R., Herrero, J., and Polo, M.J.: Estimating snow albedo patterns in a Mediterranean site from Landsat TM and ETM+ images, Proceedings of the SPIE, Remote Sensing for Agriculture, Ecosystems, and Hydrology XV, Dresden, Germany, 23–26 September 2013, 88870L, https://doi.org/10.1117/12.2029064.
Pimentel, R., Herrero, J., and Polo, M.J.: Graphic user interface to preprocess Landsat TM, ETM+ and OLI images for hydrological applications, Proceedings of the HIC 2014, 11th International Conference on Hydroinformatics, New York, 17–21 August 2014, Abstract ID 310, 2014.
Polo, M. J., Herrero, J., Pimentel, R., and Pérez-Palazón, M. J.: The Guadalfeo Monitoring Network (Sierra Nevada, Spain): 14 years of measurements to understand the complexity of snow dynamics in semiarid regions, Earth Syst. Sci. Data, 11, 393–407, https://doi.org/10.5194/essd-11-393-2019, 2019.
Ruiz-Arias, J. A., Tovar-Pescador, J., Pozo-Vázquez, D., and Alsamamra, H.: A comparative analysis of DEM-based models to estimate the solar radiation in mountainous terrain, Int. J. Geogr. Inf. Sci., 23, 1049–1076, https://doi.org/10.1080/13658810802022806, 2009.
Ruiz-Arias, J. A., Alsamamra, H., Tovar-Pescador, J., and Pozo-Vázquez, D.: Proposal of a regressive model for the hourly diffuse solar radiation under all sky conditions, Energ. Convers. Manage., 51, 881–893, https://doi.org/10.1016/j.enconman.2009.11.024, 2010.
Ruiz-Arias, J. A., Pozo-Vázquez, D., Santos-Alamillos, F. J., Lara-Fanego, V., and Tovar-Pescador, J. A.: Topographic geostatistical approach for mapping monthly mean values of daily global solar radiation: A case study in southern Spain, Agr. Forest Meteorol., 151, 1812–1822,
https://doi.org/10.1016/j.agrformet.2011.07.021, 2011.
Scaffetta, N. and Willson, R.C.: Multiscale comparative spectral analysis of
satellite total solar irradiance measurements from 2003 to 2013 reveals a
planetary modulation of solar activity and its nonlinear dependence on the
11 yr solar cycle, Pattern Recogn. Phys., 1, 123–133, https://doi.org/10.5194/prp-1-123-2013, 2013.
Sheng, J., Wilson, J. P., and Lee, S.: Comparison of land surface temperature (LST) modeled with a spatially-distributed solar radiation model (SRAD) and remote sensing data, Environ. Modell. Softw., 24, 436–443, https://doi.org/10.1016/j.envsoft.2008.09.003, 2009.
Šùri, M. and Hofierka, J.: A new GIS-based solar radiation model and its application to photovoltaic assessments, Trans. GIS, 8, 175–190, https://doi.org/10.1111/j.1467-9671.2004.00174.x, 2004.
Tang, W., Yang, K., Qin, J., Li, X., and Niu, X.: A 16-year dataset (2000–2015) of high-resolution (3 h, 10 km) global surface solar radiation, Earth Syst. Sci. Data, 11, 1905–1915, https://doi.org/10.5194/essd-11-1905-2019, 2019.
Tomas-Burguera, M., Vicente-Serrano, S. M., Beguería, S., Reig, F., and Latorre, B.: Reference crop evapotranspiration database in Spain (1961–2014), Earth Syst. Sci. Data, 11, 1917–1930, https://doi.org/10.5194/essd-11-1917-2019, 2019.
Tovar, J., Olmo, F. J., and Alados-Arboledas, L.: Local scale variability of solar radiation in a mountainous region, J. App. Meteorol., 34, 2316–2322, https://doi.org/10.1175/1520-0450(1995)034<2316:LSVOSR>2.0.CO;2, 1995.
Tovar-Pescador, J., Pozo-Vázquez, D., Ruiz-Arias, J. A., Batllés, J., López, G., and Bosch, J. L.: On the use of the digital elevation model to estimate the solar radiation in areas of complex terrain, Meteorol. Appl.,
13, 279–287, https://doi.org/10.1017/S1350482706002258, 2006.
Wilson, J. P. and Gallant, J. C.: Secondary topographic attributes, in: Terrain Analysis: Principles and
Applications, edited by: Wilson, J. P. and Gallant, J. C., John Wiley & Sons, New York, 51–85, 2000.
Winslow, J. C., Hunt, E. R., and Piper, S. C.: A globally applicable model of daily solar irradiance estimated from air temperature and precipitation data, Ecol. Model., 143, 227–243,
https://doi.org/10.1016/S0304-3800(01)00341-6, 2001.
Wu, G. F., Liu, Y. L., and Wang, T. J.: Methods and strategy for modeling daily global solar radiation with measured meteorological data-A case study in Nanchang station, China, Energ. Convers. Manage., 48, 2447–2452, https://doi.org/10.1016/j.enconman.2007.04.011, 2007.
Yang, K. and Koike, T.: A general model to estimate hourly and daily solar radiation for hydrological studies., Water Resour. Res., 41, W10403, https://doi.org/10.1029/2005WR003976, 2005.
Yang, K., Koike, T., and Ye, B.: Improving estimation of hourly, daily, and monthly solar radiation by importing global data sets, Agr. Forest Meteorol., 137, 43–55, https://doi.org/10.1016/j.agrformet.2006.02.001, 2006.
Yang. K., He, J., Tang, W. J., and Qin, J., and Cheng, C. C. K.: On downward shortwave and longwave radiations over high altitude regions: Observation and modeling in the Tibetan Plateau, Agr. Forest Meteorol., 150, 38–46, https://doi.org/10.1016/j.agrformet.2009.08.004, 2010.
Yang, L., Cao, Q., Yu, Y., and Liu, Y.: Comparison of daily diffuse radiation models in regions of China without solar radiation measurement, Energy, 191, 116571, https://doi.org/10.1016/j.energy.2019.116571, 2020.
Younes, S., Claywell, R., and Muneer, T.: Quality control of solar radiation data: present status and proposed new approaches, Energy, 30, 1533–1549, https://doi.org/10.1016/j.energy.2004.04.031, 2005.
Zhang, M., Wang, B., Liu, D. L., Liu, J., Zhang, H., Feng, P., Kong, D., Cleverly, J., Yang, X., and Yu, Q.: Incorporating dynamic factors for improving a GIS-based solar radiation model, Trans. GIS, 24, 423–441, https://doi.org/10.1111/tgis.12607, 2020.
Zhang, S., Li, X., She, J., and Peng, X.: Assimilating remote sensing data into GIS-based all sky solar radiation modeling for mountain terrain, Remote Sens. Environ., 231, 11239, https://doi.org/10.1016/j.rse.2019.111239, 2019.
Short summary
This work presents the reconstruction of 19 years of daily, monthly, and annual global radiation maps in Sierra Nevada (Spain) derived using daily historical records from weather stations in the area and a modeling scheme that captures the topographic effects that constitute the main sources of the spatial and temporal variability of solar radiation. The generated datasets are valuable in different fields, such as hydrology, ecology, or energy production systems downstream.
This work presents the reconstruction of 19 years of daily, monthly, and annual global radiation...
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