Integration of Earth observations and models for global water resource assessment
Integration of Earth observations and models for global water resource assessment
Editor(s): M.G.F. Werner, J. Schellekens, F. Sperna Weiland, A. van Dijk, J.-C. Calvet, E. Blyth, G. Balsamo, M. Anagnostou, and M. Floerke
Water security is no longer the problem of a few regions; it concerns all global economies, rich and poor. This stresses the need for a holistic (integrated) approach to water resource management and decision making, including defence and mitigation of climatic extremes (floods and droughts) and associated impacts of food and water security, energy, and large-scale (re)forestation. However, both the availability and quality of water resources, as well as how these change in time, are difficult to estimate in many regions of the world. This is particularly due to the fact that many low-income countries lack basic monitoring systems. On the other hand, a multitude of Earth observations (EOs) are available, providing global-scale monitoring of water cycle parameters, and research based on EO and in situ data is ongoing.

Current research focusses on the consistent integration of water resource datasets, including those derived from Earth observations, in situ measurements, and hydrological models, to facilitate water resource assessments worldwide. In addition, effort is devoted in several research investigations to downscale these datasets and demonstrate their uses in case studies at regional, national, and local levels around the globe. Furthermore, large-scale models are being used more and more in local studies.

We invite submissions of original papers and reviews to this issue that relate to the list of subjects below. The proposed special issue is open to all papers that fit within the scope of the special issue. We expect about 50% of the contributions to come from the eartH2Observe project and the other 50% from outside the project.

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30 Mar 2020
Quantification of drainable water storage volumes on landmasses and in river networks based on GRACE and river runoff using a cascaded storage approach – first application on the Amazon
Johannes Riegger
Hydrol. Earth Syst. Sci., 24, 1447–1465, https://doi.org/10.5194/hess-24-1447-2020,https://doi.org/10.5194/hess-24-1447-2020, 2020
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16 May 2019
Can global precipitation datasets benefit the estimation of the area to be cropped in irrigated agriculture?
Alexander Kaune, Micha Werner, Patricia López López, Erasmo Rodríguez, Poolad Karimi, and Charlotte de Fraiture
Hydrol. Earth Syst. Sci., 23, 2351–2368, https://doi.org/10.5194/hess-23-2351-2019,https://doi.org/10.5194/hess-23-2351-2019, 2019
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15 Apr 2019
Assessment of precipitation error propagation in multi-model global water resource reanalysis
Md Abul Ehsan Bhuiyan, Efthymios I. Nikolopoulos, Emmanouil N. Anagnostou, Jan Polcher, Clément Albergel, Emanuel Dutra, Gabriel Fink, Alberto Martínez-de la Torre, and Simon Munier
Hydrol. Earth Syst. Sci., 23, 1973–1994, https://doi.org/10.5194/hess-23-1973-2019,https://doi.org/10.5194/hess-23-1973-2019, 2019
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15 Mar 2019
Predicting floods in a large karst river basin by coupling PERSIANN-CCS QPEs with a physically based distributed hydrological model
Ji Li, Daoxian Yuan, Jiao Liu, Yongjun Jiang, Yangbo Chen, Kuo Lin Hsu, and Soroosh Sorooshian
Hydrol. Earth Syst. Sci., 23, 1505–1532, https://doi.org/10.5194/hess-23-1505-2019,https://doi.org/10.5194/hess-23-1505-2019, 2019
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21 Feb 2019
Global joint assimilation of GRACE and SMOS for improved estimation of root-zone soil moisture and vegetation response
Siyuan Tian, Luigi J. Renzullo, Albert I. J. M. van Dijk, Paul Tregoning, and Jeffrey P. Walker
Hydrol. Earth Syst. Sci., 23, 1067–1081, https://doi.org/10.5194/hess-23-1067-2019,https://doi.org/10.5194/hess-23-1067-2019, 2019
18 Feb 2019
Estimating irrigation water use over the contiguous United States by combining satellite and reanalysis soil moisture data
Felix Zaussinger, Wouter Dorigo, Alexander Gruber, Angelica Tarpanelli, Paolo Filippucci, and Luca Brocca
Hydrol. Earth Syst. Sci., 23, 897–923, https://doi.org/10.5194/hess-23-897-2019,https://doi.org/10.5194/hess-23-897-2019, 2019
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06 Feb 2019
Modelling Lake Titicaca's daily and monthly evaporation
Ramiro Pillco Zolá, Lars Bengtsson, Ronny Berndtsson, Belen Martí-Cardona, Frederic Satgé, Franck Timouk, Marie-Paule Bonnet, Luis Mollericon, Cesar Gamarra, and José Pasapera
Hydrol. Earth Syst. Sci., 23, 657–668, https://doi.org/10.5194/hess-23-657-2019,https://doi.org/10.5194/hess-23-657-2019, 2019
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13 Dec 2018
Application of an improved global-scale groundwater model for water table estimation across New Zealand
Rogier Westerhoff, Paul White, and Gonzalo Miguez-Macho
Hydrol. Earth Syst. Sci., 22, 6449–6472, https://doi.org/10.5194/hess-22-6449-2018,https://doi.org/10.5194/hess-22-6449-2018, 2018
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11 Dec 2018
Using modelled discharge to develop satellite-based river gauging: a case study for the Amazon Basin
Jiawei Hou, Albert I. J. M. van Dijk, Luigi J. Renzullo, and Robert A. Vertessy
Hydrol. Earth Syst. Sci., 22, 6435–6448, https://doi.org/10.5194/hess-22-6435-2018,https://doi.org/10.5194/hess-22-6435-2018, 2018
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05 Nov 2018
Assimilation of passive microwave AMSR-2 satellite observations in a snowpack evolution model over northeastern Canada
Fanny Larue, Alain Royer, Danielle De Sève, Alexandre Roy, and Emmanuel Cosme
Hydrol. Earth Syst. Sci., 22, 5711–5734, https://doi.org/10.5194/hess-22-5711-2018,https://doi.org/10.5194/hess-22-5711-2018, 2018
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04 Oct 2018
An improved method for calculating the regional crop water footprint based on a hydrological process analysis
Xiao-Bo Luan, Ya-Li Yin, Pu-Te Wu, Shi-Kun Sun, Yu-Bao Wang, Xue-Rui Gao, and Jing Liu
Hydrol. Earth Syst. Sci., 22, 5111–5123, https://doi.org/10.5194/hess-22-5111-2018,https://doi.org/10.5194/hess-22-5111-2018, 2018
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27 Sep 2018
Global 5 km resolution estimates of secondary evaporation including irrigation through satellite data assimilation
Albert I. J. M. van Dijk, Jaap Schellekens, Marta Yebra, Hylke E. Beck, Luigi J. Renzullo, Albrecht Weerts, and Gennadii Donchyts
Hydrol. Earth Syst. Sci., 22, 4959–4980, https://doi.org/10.5194/hess-22-4959-2018,https://doi.org/10.5194/hess-22-4959-2018, 2018
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18 Sep 2018
Toward continental hydrologic–hydrodynamic modeling in South America
Vinícius A. Siqueira, Rodrigo C. D. Paiva, Ayan S. Fleischmann, Fernando M. Fan, Anderson L. Ruhoff, Paulo R. M. Pontes, Adrien Paris, Stéphane Calmant, and Walter Collischonn
Hydrol. Earth Syst. Sci., 22, 4815–4842, https://doi.org/10.5194/hess-22-4815-2018,https://doi.org/10.5194/hess-22-4815-2018, 2018
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07 Sep 2018
Global re-analysis datasets to improve hydrological assessment and snow water equivalent estimation in a sub-Arctic watershed
David R. Casson, Micha Werner, Albrecht Weerts, and Dimitri Solomatine
Hydrol. Earth Syst. Sci., 22, 4685–4697, https://doi.org/10.5194/hess-22-4685-2018,https://doi.org/10.5194/hess-22-4685-2018, 2018
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06 Sep 2018
The potential of global reanalysis datasets in identifying flood events in Southern Africa
Gaby J. Gründemann, Micha Werner, and Ted I. E. Veldkamp
Hydrol. Earth Syst. Sci., 22, 4667–4683, https://doi.org/10.5194/hess-22-4667-2018,https://doi.org/10.5194/hess-22-4667-2018, 2018
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03 Sep 2018
Joint assimilation of soil moisture retrieved from multiple passive microwave frequencies increases robustness of soil moisture state estimation
Anouk I. Gevaert, Luigi J. Renzullo, Albert I. J. M. van Dijk, Hans J. van der Woerd, Albrecht H. Weerts, and Richard A. M. de Jeu
Hydrol. Earth Syst. Sci., 22, 4605–4619, https://doi.org/10.5194/hess-22-4605-2018,https://doi.org/10.5194/hess-22-4605-2018, 2018
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27 Jul 2018
Understanding terrestrial water storage variations in northern latitudes across scales
Tina Trautmann, Sujan Koirala, Nuno Carvalhais, Annette Eicker, Manfred Fink, Christoph Niemann, and Martin Jung
Hydrol. Earth Syst. Sci., 22, 4061–4082, https://doi.org/10.5194/hess-22-4061-2018,https://doi.org/10.5194/hess-22-4061-2018, 2018
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19 Jul 2018
Assimilation of river discharge in a land surface model to improve estimates of the continental water cycles
Fuxing Wang, Jan Polcher, Philippe Peylin, and Vladislav Bastrikov
Hydrol. Earth Syst. Sci., 22, 3863–3882, https://doi.org/10.5194/hess-22-3863-2018,https://doi.org/10.5194/hess-22-3863-2018, 2018
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02 Jul 2018
Assessment of a multiresolution snow reanalysis framework: a multidecadal reanalysis case over the upper Yampa River basin, Colorado
Elisabeth Baldo and Steven A. Margulis
Hydrol. Earth Syst. Sci., 22, 3575–3587, https://doi.org/10.5194/hess-22-3575-2018,https://doi.org/10.5194/hess-22-3575-2018, 2018
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28 Jun 2018
ERA-5 and ERA-Interim driven ISBA land surface model simulations: which one performs better?
Clement Albergel, Emanuel Dutra, Simon Munier, Jean-Christophe Calvet, Joaquin Munoz-Sabater, Patricia de Rosnay, and Gianpaolo Balsamo
Hydrol. Earth Syst. Sci., 22, 3515–3532, https://doi.org/10.5194/hess-22-3515-2018,https://doi.org/10.5194/hess-22-3515-2018, 2018
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04 Apr 2018
Hydrological assessment of atmospheric forcing uncertainty in the Euro-Mediterranean area using a land surface model
Emiliano Gelati, Bertrand Decharme, Jean-Christophe Calvet, Marie Minvielle, Jan Polcher, David Fairbairn, and Graham P. Weedon
Hydrol. Earth Syst. Sci., 22, 2091–2115, https://doi.org/10.5194/hess-22-2091-2018,https://doi.org/10.5194/hess-22-2091-2018, 2018
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