Publications listed below were provided to GRDC by the authors after completing their studies, or have been identified by the GRDC through searching the Internet. References are sorted alphabetically by first authors last name. As far as available, the original source is documented, or an URL is provided that will guide you to the source from where the GRDC retrieved an abstract or the relevant document. These hyperlinks are provided as a convenience only. They imply neither responsibility for, nor approval of the information contained.
Select year
Abolafia-Rosenzweig, R., M. Pan, J. L. Zeng, and B. Livneh, 2021. Remotely sensed ensembles of the terrestrial water budget over major global river basins: An assessment of three closure techniques, Remote Sensing of Environment, 252, 112191, https://doi.org/10.1016/j.rse.2020.112191
Adane, G. B., B. A. Hirpa, B. M. Gebru, C. Song, and W.-K. Lee, 2021. Integrating satellite rainfall estimates with hydrological water balance model: rainfall-runoff modeling in Awash River Basin, Ethiopia, Water, 13, 800, https://doi.org/10.3390/w13060800
Ampofo, S., E. Gyekye, B. Ampadu, and I. Sackey, 2021. Modelling soil and water dynamics in the Black Volta Basin using the Soil and Water Assessment Tool (SWAT) model, Ghana Journal of Science, 7, 2, https://doi.org/10.47881/259.967x
Anav, A., A. Carillo, M. Palma, M. V. Struglia, U. U. Turuncoglu, and G. Sannino, 2021. The ENEA-REG system (v1.0), a multi-component regional Earth system model: sensitivity to different atmospheric components over the Med-CORDEX (Coordinated Regional Climate Downscaling Experiment) region, Geoscientific Model Development, 14, 4159-4185, https://doi.org/10.5194/gmd-14-4159-2021
Anwar, S. A., and I. Diallo, 2021. On the role of a coupled vegetation-runoff system in simulating the tropical African climate: a regional climate model sensitivity study, Theoretical and Applied Climatology, 145, 313-325, https://doi.org/10.1007/s00704-021-03627-8
Banerjee, A., B. Goswami, Y. Hirata, D. Eroglu, B. Merz, J. Kurths, and N. Marwan, 2021. Recurrence analysis of extreme event-like data, Nonlinear Processes in Geophysics, 28, 213-229, https://doi.org/10.5194/npg-28-213-2021
Belloni, R., S. Camici, and A. Tarpanelli, 2021. Towards the continuous monitoring of the extreme events through satellite radar altimetry observations, Journal of Hydrology, 603, 126870, https://doi.org/10.1016/j.jhydrol.2021.126870
Bernhardt, A., and W. Schwanghart, 2021. Where and why do submarine canyons remain connected to the shore during sea-level rise? Insights from global topographic analysis and Bayesian regression, Geophysical Research Letters, 48, e2020GL092234, https://doi.org/10.1029/2020GL092234
Birkinshaw, S. J., G. O’Donnell, V. Glenis, and C. Kilsby, 2021. Improved hydrological modelling of urban catchments using runoff coefficients, Journal of Hydrology, 594, 125884, https://doi.org/10.1016/j.jhydrol.2020.125884
Bombelli, G. M., S. Tomiet, A. Bianchi, and D. Bocchiola, 2021. Impact of prospective climate change scenarios upon hydropower potential of Ethiopia in GERD and GIBE dams, Water, 13, 716, https://doi.org/10.3390/w13050716
Boussetta, S., G. Balsamo, G. Arduini, E. Dutra, J. McNorton, M. Choulga, et al., 2021. ECLand: The ECMWF land surface modelling system, Atmosphere, 12, 723, https://doi.org/10.3390/atmos12060723
Brunner, M. I., and E. Gilleland, 2021. Complex high- and low-flow networks differ in their spatial correlation characteristics, drivers, and changes, Water Resources Research, 57, e2021WR030049, https://doi.org/10.1029/2021WR030049
Brunner, M. I., and L. Slater, 2021. Extreme floods in Europe: going beyond observations using reforecast ensemble pooling, Hydrology and Earth System Sciences, 2021, 1-22, https://doi.org/10.5194/hess-2021-345
Bunsen, J., M. Berger, H. Ward, and M. Finkbeiner, 2021. Germany’s global water consumption under consideration of the local safe operating spaces of watersheds worldwide, Cleaner and Responsible Consumption, 3, 100034, https://doi.org/10.1016/j.clrc.2021.100034
Bunzel, D., 2021. North Sea salt marshes and their response to changing storm-climate conditions over the last century, Universität Hamburg, PhD thesis.
Bunzel, D., Y. Milker, K. Müller-Navarra, H. W. Arz, and G. Schmiedl, 2021. North Sea salt-marsh archives trace past storminess and climate variability, Global and Planetary Change, 198, 103403, https://doi.org/10.1016/j.gloplacha.2020.103403
Chen, W., P. Ciais, C. Qiu, A. Ducharne, D. Zhu, S. Peng, et al., 2021a. Wetlands of North Africa during the Mid-Holocene were at least five times the area today, Geophysical Research Letters, 48, e2021GL094194, https://doi.org/10.1029/2021GL094194
Chen, X., L. Liu, Y. Su, W. Yuan, X. Liu, Z. Liu, and G. Zhou, 2021b. Quantitative association between the water yield impacts of forest cover changes and the biophysical effects of forest cover on temperatures, Journal of Hydrology, 600, 126529, https://doi.org/10.1016/j.jhydrol.2021.126529
Chen, Z., W. Wang, R. A. Woods, and Q. Shao, 2021c. Hydrological effects of change in vegetation components across global catchments, Journal of Hydrology, 595, 125775, https://doi.org/10.1016/j.jhydrol.2020.125775
Comte, L., J. D. Olden, P. A. Tedesco, A. Ruhi, and X. Giam, 2021. Climate and land-use changes interact to drive long-term reorganization of riverine fish communities globally, Proceedings of the National Academy of Sciences, 118, e2011639118, https://doi.org/10.1073/pnas.2011639118
Cui, A., J. Li, Q. Zhou, R. Zhu, H. Liu, G. Wu, and Q. Li, 2021. Use of a multiscalar GRACE-based standardized terrestrial water storage index for assessing global hydrological droughts, Journal of Hydrology, 603, 126871, https://doi.org/10.1016/j.jhydrol.2021.126871
Custado, M. J. G., and C. P. C. David, 2021. Influence of runoff on coastal chlorophyll-a concentration in selected Philippine upwelling sites, Philippine Science Letters, 14, 108-118, https://scienggj.org/2021-108/
Dangar, S., and V. Mishra, 2021. Natural and anthropogenic drivers of the lost groundwater from the Ganga River basin, Environmental Research Letters, 16, 114009, https://doi.org/10.1088/1748-9326/ac2ceb
De Santis, D., D. Biondi, W. T. Crow, S. Camici, S. Modanesi, L. Brocca, and C. Massari, 2021. Assimilation of satellite soil moisture products for river flow prediction: an extensive experiment in over 700 catchments throughout Europe, Water Resources Research, 57, e2021WR029643, https://doi.org/10.1029/2021WR029643
de Wit, H. A., J. L. Stoddard, D. T. Monteith, J. E. Sample, K. Austnes, S. Couture, et al., 2021. Cleaner air reveals growing influence of climate on dissolved organic carbon trends in northern headwaters, Environmental Research Letters, 16, 104009, https://doi.org/10.1088/1748-9326/ac2526
Di Sante, F., E. Coppola, and F. Giorgi, 2021. Projections of river floods in Europe using EURO-CORDEX, CMIP5 and CMIP6 simulations, International Journal of Climatology, 41, 3203-3221, https://doi.org/10.1002/joc.7014
Didovets, I., A. Lobanova, V. Krysanova, C. Menz, Z. Babagalieva, A. Nurbatsina, et al., 2021. Central Asian rivers under climate change: Impacts assessment in eight representative catchments, Journal of Hydrology: Regional Studies, 34, 100779, https://doi.org/10.1016/j.ejrh.2021.100779
Duden, A. S., P. A. Verweij, Y. V. Kraak, L. P. H. van Beek, N. Wanders, D. J. Karssenberg, et al., 2021. Hydrological impacts of ethanol-driven sugarcane expansion in Brazil, Journal of Environmental Management, 282, 111942, https://doi.org/10.1016/j.jenvman.2021.111942
Eilander, D., W. van Verseveld, D. Yamazaki, A. Weerts, H. C. Winsemius, and P. J. Ward, 2021. A hydrography upscaling method for scale-invariant parametrization of distributed hydrological models, Hydrology and Earth System Sciences, 25, 5287-5313, https://doi.org/10.5194/hess-25-5287-2021
Eldardiry, H., 2021. Adaptive Reservoir Operation in the Transboundary Nile River Basin, University of Washington, PhD thesis.
Emiru, N. C., J. W. Recha, J. R. Thompson, A. Belay, E. Aynekulu, A. Manyevere, et al., 2021. Impact of climate change on the hydrology of the Upper Awash River Basin, Ethiopia, Hydrology, 9, 3, https://www.mdpi.com/2306-5338/9/1/3
Escudier, R., E. Clementi, A. Cipollone, J. Pistoia, M. Drudi, A. Grandi, et al., 2021. A high resolution reanalysis for the Mediterranean Sea, Frontiers in Earth Science, 9, https://doi.org/10.3389/feart.2021.702285
Farrag, M., S. Vorogushyn, D. V. Nguyen, K. d. Bruijn, and B. Merz, 2021. River-dike-floodplain system interactions and temporal dynamics for large-scale flood risk assessment, FLOODrisk 2020-4th European Conference on Flood Risk Management.
Ficchì, A., H. Cloke, C. Neves, S. Woolnough, E. Coughlan de Perez, E. Zsoter, et al., 2021. Beyond El Niño: Unsung climate modes drive African floods, Weather and Climate Extremes, 33, 100345, https://doi.org/10.1016/j.wace.2021.100345
Filipova, V., A. Hammond, D. Leedal, and R. Lamb, 2021. Prediction of flood quantiles at ungauged catchments for the contiguous USA using Artificial Neural Networks, Hydrology Research, https://doi.org/10.2166/nh.2021.082
Fischer, S., and A. H. Schumann, 2021. Multivariate Flood Frequency Analysis in Large River Basins Considering Tributary Impacts and Flood Types, Water Resources Research, 57, e2020WR029029, https://doi.org/10.1029/2020WR029029
Floriancic, M. G., W. R. Berghuijs, P. Molnar, and J. W. Kirchner, 2021. Seasonality and drivers of low flows across Europe and the United States, Water Resources Research, 57, e2019WR026928, https://doi.org/10.1029/2019WR026928
Gao, H., J. Wang, Y. Yang, X. Pan, Y. Ding, and Z. Duan, 2021. Permafrost hydrology of the Qinghai-Tibet Plateau: a review of processes and modeling, Frontiers in Earth Science, 8, 1-13, https://doi.org/10.3389/feart.2020.576838
Gascoin, S., 2021. Snowmelt and snow sublimation in the Indus Basin, Water, 13, 2621, https://doi.org/10.3390/w13192621
Gottlieb, A. R., and J. S. Mankin, 2021. Observing, measuring, and assessing the consequences of snow drought, Bulletin of the American Meteorological Society, https://doi.org/10.1175/bams-d-20-0243.1
Granados, A., A. Sordo-Ward, B. Paredes-Beltrán, and L. Garrote, 2021. Exploring the role of reservoir storage in enhancing resilience to climate change in Southern Europe, Water, 13, 85, https://doi.org/10.3390/w13010085
Guinaldo, T., S. Munier, P. Le Moigne, A. Boone, B. Decharme, M. Choulga, and D. J. Leroux, 2021. Parametrization of a lake water dynamics model MLake in the ISBA-CTRIP land surface system (SURFEX v8.1), Geoscientific Model Development, 14, 1309-1344, 10.3390/w1301008510.5194/gmd-14-1309-2021
Guo, L., T. Li, D. Chen, J. Liu, B. He, and Y. Zhang, 2021. Links between global terrestrial water storage and large-scale modes of climatic variability, Journal of Hydrology, 598, 126419, https://doi.org/10.1016/j.jhydrol.2021.126419
Hao, Z., J. Jin, R. Xia, S. Tian, W. Yang, Q. Liu, et al., 2021. CCAM: China Catchment Attributes and Meteorology dataset, Earth System Science Data, 13, 5591-5616, https://doi.org/10.5194/essd-13-5591-2021
Hirabayashi, Y., H. Alifu, D. Yamazaki, G. Donchyts, and Y. Kimura, 2021a. Detectability of variation in river flood from satellite images, Hydrological Research Letters, 15, 37-43, https://doi.org/10.3178/hrl.15.37
Hirabayashi, Y., H. Alifu, D. Yamazaki, Y. Imada, H. Shiogama, and Y. Kimura, 2021b. Anthropogenic climate change has changed frequency of past flood during 2010-2013, Progress in Earth and Planetary Science, 8, 36, https://doi.org/10.1186/s40645-021-00431-w
Hirabayashi, Y., M. Tanoue, O. Sasaki, X. Zhou, and D. Yamazaki, 2021c. Global exposure to flooding from the new CMIP6 climate model projections, Scientific Reports, 11, 3740, https://doi.org/10.1038/s41598-021-83279-w
Hu, B., L. Wang, X. Li, J. Zhou, and Y. Pan, 2021a. Divergent changes in terrestrial water storage across global arid and humid basins, Geophysical Research Letters, 48, e2020GL091069, https://doi.org/10.1029/2020GL091069
Hu, S., and X. Mo, 2021. Attribution of long-term evapotranspiration trends in the Mekong River Basin with a remote sensing-based process model, Remote Sensing, 13, 303, https://doi.org/10.3390/rs13020303
Hu, Z., Z. Zhang, Y.-F. Sang, J. Qian, W. Feng, X. Chen, and Q. Zhou, 2021b. Temporal and spatial variations in the terrestrial water storage across Central Asia based on multiple satellite datasets and global hydrological models, Journal of Hydrology, 596, 126013, https://doi.org/10.1016/j.jhydrol.2021.126013
Huang, Y., D. Tokuda, X. Zhou, and T. Oki, 2021. Global integrated modeling framework of riverine dissolved inorganic nitrogen with seasonal variation, Hydrological Research Letters, 15, 50-57, https://doi.org/10.3178/hrl.15.50
Ibarra, D. E., C. P. C. David, and P. L. M. Tolentino, 2021. Technical note: Evaluation and bias correction of an observation-based global runoff dataset using streamflow observations from small tropical catchments in the Philippines, Hydrology and Earth System Sciences, 25, 2805-2820, https://doi.org/10.5194/hess-25-2805-2021
Kam, J., 2021. Diversity in the observed functionality of dams and reservoirs, Environmental Research: Infrastructure and Sustainability, 1, 031003, https://doi.org/10.1088/2634-4505/ac3f3f
Khanal, S., A. F. Lutz, P. D. A. Kraaijenbrink, B. van den Hurk, T. Yao, and W. W. Immerzeel, 2021. Variable 21st century climate change response for rivers in High Mountain Asia at seasonal to decadal time scales, Water Resources Research, 57, e2020WR029266, https://doi.org/10.1029/2020WR029266
Kim, D., and J. A. Chun, 2021. Revisiting a two-parameter Budyko equation with the complementary evaporation principle for proper consideration of surface energy balance, Water Resources Research, 57, e2021WR030838, https://doi.org/10.1029/2021WR030838
Kleinschroth, F., R. S. Winton, E. Calamita, F. Niggemann, M. Botter, B. Wehrli, and J. Ghazoul, 2021. Living with floating vegetation invasions, Ambio, 50, 125-137, https://doi.org/10.1007/s13280-020-01360-6
Lawson, S. K., H. Tanaka, K. Udo, N. T. Hiep, and N. X. Tinh, 2021. Morphodynamics and evolution of estuarine sandspits along the bight of Benin Coast, West Africa, Water, 13, 2977, https://www.mdpi.com/2073-4441/13/21/2977
Lehner, B., L. Katiyo, F. Chivava, H. M. Sichingabula, E. Nyirenda, N. A. Rivers-Moore, et al., 2021. Identifying priority areas for surface water protection in data scarce regions: An integrated spatial analysis for Zambia, Aquatic Conservation, 31, 1998-2016, https://doi.org/10.1002/aqc.3606
Leummens, L., 2021. Sensitivity of channel-size estimations on flood inundation, University of Twente, Master’s thesis.
Liao, X. W., J. W. Hall, N. Hanasaki, W. H. Lim, and H. Paltan, 2021. Water shortage risks for China’s coal power plants under climate change, Environmental Research Letters, 16, 044011, https://doi.org/10.1088/1748-9326/abba52
Liu, W., T. Yang, F. Sun, H. Wang, Y. Feng, and M. Du, 2021. Observation-constrained projection of global flood magnitudes with anthropogenic warming, Water Resources Research, 57, e2020WR028830, https://doi.org/10.1029/2020WR028830
Lv, M., Z. Xu, and M. Lv, 2021. Evaluating hydrological processes of the atmosphere–vegetation interaction model and MERRA-2 at global scale, Atmosphere, 12, 16, https://doi.org/10.3390/atmos12010016
Ma, N., J. Szilagyi, and Y. Zhang, 2021. Calibration-free complementary relationship estimates terrestrial evapotranspiration globally, Water Resources Research, 57, e2021WR029691, https://doi.org/10.1029/2021WR029691
MacLeod, D., E. Easton-Calabria, E. C. de Perez, and C. Jaime, 2021. Verification of forecasts for extreme rainfall, tropical cyclones, flood and storm surge over Myanmar and the Philippines, Weather and Climate Extremes, 33, 100325, https://doi.org/10.1016/j.wace.2021.100325
Maheswaran, G., L. K. Sharma, H. S. Mondal, and T. Mukherjee, 2021. White-bellied heron a species on the verge of extinction: Ensemble model reveals loss of habitats and resultant prolonged isolation driving the species to extinction, Ecological Informatics, 64, 101383, https://doi.org/10.1016/j.ecoinf.2021.101383
Manton, M., E. Makrickas, P. Banaszuk, A. Kołos, A. Kamocki, M. Grygoruk, et al., 2021. Assessment and spatial planning for peatland conservation and restoration: Europe’s trans-border Neman River Basin as a case study, Land, 10, 174, https://doi.org/10.3390/land10020174
Masseroni, D., S. Camici, A. Cislaghi, G. Vacchiano, C. Massari, and L. Brocca, 2021. The 63-year changes in annual streamflow volumes across Europe with a focus on the Mediterranean basin, Hydrology and Earth System Sciences, 25, 5589-5601, https://doi.org/10.5194/hess-25-5589-2021
Mayer-Gürr, T., S. Behzadpour, A. Eicker, M. Ellmer, B. Koch, S. Krauss, et al., 2021. GROOPS: A software toolkit for gravity field recovery and GNSS processing, Computers & Geosciences, 155, 104864, https://doi.org/10.1016/j.cageo.2021.104864
Meißner, S., 2021. The Impact of metal mining on global water stress and regional carrying capacities - a GIS-based water impact assessment, Resources, 10, 120, https://doi.org/10.3390/resources10120120
Messager, M. L., B. Lehner, C. Cockburn, N. Lamouroux, H. Pella, T. Snelder, et al., 2021. Global prevalence of non-perennial rivers and streams, Nature, 594, 391-397, https://doi.org/10.1038/s41586-021-03565-5
Mokkenstorm, L., 2021. Behind the early warning: Improving impact-based forecasting of riverine floods in Malawi using passive microwave remote sensing, Lund University, Master’s thesis.
Mokkenstorm, L. C., M. J. C. van den Homberg, H. Winsemius, and A. Persson, 2021. River flood detection using passive microwave remote sensing in a data-scarce environment: a case study for two river basins in Malawi, Frontiers in Earth Science, 9, https://doi.org/10.3389/feart.2021.670997
Moreno, J. E. S., 2021. New developments in flood modelling at continental-scale: case studies in Europe and the US, University of Bristol, PhD thesis.
Moylan, C. T., 2021. Sensitivity, uncertainty and refinement of a global flood model, University of Bristol, PhD thesis.
Müller Schmied, H., D. Cáceres, S. Eisner, M. Flörke, C. Herbert, C. Niemann, et al., 2021. The global water resources and use model WaterGAP v2.2d: model description and evaluation, Geoscientific Model Development, 14, 1037-1079, https://doi.org/10.5194/gmd-14-1037-2021
Nicolas, J., J. Verdun, J.-P. Boy, L. Bonhomme, A. Asri, A. Corbeau, et al., 2021. Improved hydrological loading models in South America: analysis of GPS displacements using M-SSA, Remote Sensing, 13, 1605, https://doi.org/10.3390/rs13091605
Nigam, S., A. Ruiz-Barradas, and A. J. C. S. Sengupta, 2021. The Chennai Water Crisis: Insufficient rainwater or suboptimal harnessing of runoff?, Current Science, 120, 43-55,
Nikraftar, Z., A. Mostafaie, M. Sadegh, J. H. Afkueieh, and B. Pradhan, 2021. Multi-type assessment of global droughts and teleconnections, Weather and Climate Extremes, 34, 100402, https://doi.org/10.1016/j.wace.2021.100402
Oestermann, F., and C. J. H. u. W. Mudersbach, 2021. Langjährige Trends der Niedrigwasserkennwerte in Deutschland, Hydrologie und Wasserbewirtschaftung, 65, 137-155, https://doi.org/10.5675/HyWa_2021.4_1
Oestermann, F., and C. J. H. u. W. Mudersbach, 2021. Trendanalysen von Niedrigwasserkennwerten an Deutschen Flüssen, 44. Dresdner Wasserbaukolloquium 2021 Wasserbau zwischen Hochwasser und Wassermangel, 317-326.
Onpraphai, T., A. Jintrawet, B. Keoboualapha, S. Khuenjai, R. Guo, J. Wang, and J. Fan, 2021. Sustaining biomaterials in bioeconomy: roles of education and learning in Mekong River Basin, Forests, 12, 1670, https://doi.org/10.3390/f12121670
Pan, C. G., P. B. Kirchner, J. S. Kimball, J. Du, and M. A. Rawlins, 2021. Snow phenology and hydrologic timing in the Yukon River Basin, AK, USA, Remote Sensing, 13, 2284, https://doi.org/10.3390/rs13122284
Pan, H., and X. Lv, 2021. Is there a quasi 60-year oscillation in global tides?, Continental Shelf Research, 222, 104433, https://doi.org/10.1016/j.csr.2021.104433
Paredes-Beltran, B., A. Sordo-Ward, B. de-Lama, and L. Garrote, 2021a. A continental assessment of reservoir storage and water availability in South America, Water, 13, 1992, https://doi.org/10.3390/w13141992
Paredes-Beltran, B., A. Sordo-Ward, and L. Garrote, 2021b. Dataset of Georeferenced Dams in South America (DDSA), Earth System Science Data, 13, 213-229, https://doi.org/10.5194/essd-13-213-2021
Park, Y., N. L. Swanson-Hysell, L. E. Lisiecki, and F. A. Macdonald, 2021. Evaluating the relationship between the area and latitude of large igneous provinces and Earth’s long-term climate state, Large Igneous Provinces, 153-168.
Qi, W., J. Chen, C. Xu, and Y. Wan, 2021. Finding the optimal multimodel averaging method for global hydrological simulations, Remote Sensing, 13, 2574, https://doi.org/10.3390/rs13132574
Rahimi, L., C. Deidda, and C. De Michele, 2021. Origin and variability of statistical dependencies between peak, volume, and duration of rainfall-driven flood events, Scientific Reports, 11, 5182, https://doi.org/10.1038/s41598-021-84664-1
Rameshwaran, P., V. A. Bell, H. N. Davies, and A. L. Kay, 2021. How might climate change affect river flows across West Africa?, Climatic Change, 169, 21, https://doi.org/10.1007/s10584-021-03256-0
Rottler, E., A. Bronstert, G. Bürger, and O. Rakovec, 2021a. Projected changes in Rhine River flood seasonality under global warming, Hydrology and Earth System Sciences, 25, 2353-2371, https://doi.org/10.5194/hess-25-2353-2021
Rottler, E., K. Vormoor, T. Francke, and A. Bronstert, 2021b. Hydro Explorer: An interactive web app to investigate changes in runoff timing and runoff seasonality all over the world, River Research and Applications, 37, 544-554, https://doi.org/10.1002/rra.3772
Rottler, E., K. Vormoor, T. Francke, M. Warscher, U. Strasser, and A. Bronstert, 2021c. Elevation-dependent compensation effects in snowmelt in the Rhine River Basin upstream gauge Basel, Hydrology Research, 52, 536-557, https://doi.org/10.2166/nh.2021.092
Ruijsch, J., J. A. Verstegen, E. H. Sutanudjaja, and D. Karssenberg, 2021. Systemic change in the Rhine-Meuse basin: Quantifying and explaining parameters trends in the PCR-GLOBWB global hydrological model, Advances in Water Resources, 155, 104013, https://doi.org/10.1016/j.advwatres.2021.104013
Sauer, I. J., R. Reese, C. Otto, T. Geiger, S. N. Willner, B. P. Guillod, et al., 2021. Climate signals in river flood damages emerge under sound regional disaggregation, Nature Communications, 12, 2128, https://doi.org/10.1038/s41467-021-22153-9
Seiler, C., J. R. Melton, V. K. Arora, and L. Wang, 2021. CLASSIC v1.0: the open-source community successor to the Canadian Land Surface Scheme (CLASS) and the Canadian Terrestrial Ecosystem Model (CTEM) – Part 2: Global benchmarking, Geoscientific Model Development, 14, 2371-2417, https://doi.org/10.5194/gmd-14-2371-2021
Sergeant, F., R. Therrien, L. Oudin, A. Jost, and F. Anctil, 2021. Evolution of Arctic rivers recession flow: Global assessment and data-based attribution analysis, Journal of Hydrology, 601, 126577, https://doi.org/10.1016/j.jhydrol.2021.126577
Shi, M., T. Shiraiwa, H. Mitsudera, and Y. Muravyev, 2021. Estimation of freshwater discharge from the Kamchatka Peninsula to its surrounding oceans, Journal of Hydrology: Regional Studies, 36, 100836, https://doi.org/10.1016/j.ejrh.2021.100836
Slater, L., G. Villarini, S. Archfield, D. Faulkner, R. Lamb, A. Khouakhi, and J. Yin, 2021. Global changes in 20-year, 50-year, and 100-year river floods, Geophysical Research Letters, 48, e2020GL091824, https://doi.org/10.1029/2020GL091824
Sonnemans, J., 2021. Linking atmospheric rivers, extreme precipitation and river discharge in the Rhine catchment, Wageningen University and Research Centre, Master’s thesis.
Sotillo, M. G., F. Campuzano, K. Guihou, P. Lorente, E. Olmedo, A. Matulka, et al., 2021. River freshwater contribution in operational ocean models along the European Atlantic Façade: impact of a new river discharge forcing data on the CMEMS IBI regional model solution, Journal of Marine Science and Engineering, 9, 401, https://doi.org/10.3390/jmse9040401
Sperna Weiland, F. C., R. D. Visser, P. Greve, B. Bisselink, L. Brunner, and A. H. Weerts, 2021. Estimating regionalized hydrological impacts of climate change over Europe by performance-based weighting of CORDEX projections, Frontiers in Water, 3, https://doi.org/10.3389/frwa.2021.713537
Stacke, T., and S. Hagemann, 2021. HydroPy (v1.0): A new global hydrology model written in Python, Geoscientific Model Development, 2021, 1-28, https://doi.org/10.5194/gmd-2021-53
Stadnyk, T. A., A. Tefs, M. Broesky, S. J. Déry, P. G. Myers, N. A. Ridenour, et al., 2021. Changing freshwater contributions to the Arctic: A 90-year trend analysis (1981–2070), Elementa: Science of the Anthropocene, 9, https://doi.org/10.1525/elementa.2020.00098
Sterl, S., A. Devillers, C. Chawanda, A. van Griensven, W. Thiery, and D. Russo, 2021. A spatiotemporal atlas of hydropower in Africa for energy modelling purposes [version 1; peer review: 1 approved, 1 approved with reservations], Open Research Europe, 1, https://doi.org/10.12688/openreseurope.13392.1
Tang, G., M. P. Clark, S. M. Papalexiou, A. J. Newman, A. W. Wood, D. Brunet, and P. H. Whitfield, 2021. EMDNA: an Ensemble Meteorological Dataset for North America, Earth System Science Data, 13, 3337-3362, https://doi.org/10.5194/essd-13-3337-2021
Tarek, M., R. Arsenault, F. Brissette, and J.-L. Martel, 2021a. Daily streamflow prediction in ungauged basins: an analysis of common regionalization methods over the African continent, Hydrological Sciences Journal, 66, 1695-1711, https://doi.org/10.1080/02626667.2021.1948046
Tarek, M., F. Brissette, and R. Arsenault, 2021b. Uncertainty of gridded precipitation and temperature reference datasets in climate change impact studies, Hydrology and Earth System Sciences, 25, 3331-3350, https://doi.org/10.5194/hess-25-3331-2021
Taylor, P., J. Rahman, J. O’Sullivan, G. Podger, C. Rosello, A. Parashar, et al., 2021. Basin futures, a novel cloud-based system for preliminary river basin modelling and planning, Environmental Modelling & Software, 141, 105049, https://doi.org/10.1016/j.envsoft.2021.105049
Thompson, J. R., S. N. Gosling, J. Zaherpour, and C. L. R. Laizé, 2021a. Increasing risk of ecological change to major rivers of the world with global warming, Earth’s Future, 9, e2021EF002048, https://doi.org/10.1029/2021EF002048
Thompson, J. R., C. L. R. Laizé, M. C. Acreman, A. Crawley, and D. G. Kingston, 2021b. Impacts of climate change on environmental flows in West Africa’s Upper Niger Basin and the Inner Niger Delta, Hydrology Research, 52, 958-974, https://doi.org/10.2166/nh.2021.041
Thoresen, S. B., and T. Skogheim, 2021. Exploring future energy solutions in Ghana with FPV/PHS hybrid system through techno-economic analysis, Norwegian University of Life Sciences, Ås, Master’s thesis.
Tokuda, D., H. Kim, D. Yamazaki, and T. Oki, 2021. Development of a coupled simulation framework representing the lake and river continuum of mass and energy (TCHOIR v1.0), Geoscientific Model Development, 14, 5669-5693, https://doi.org/10.5194/gmd-14-5669-2021
Tramblay, Y., N. Rouché, J. E. Paturel, G. Mahé, J. F. Boyer, E. Amoussou, et al., 2021a. ADHI: the African Database of Hydrometric Indices (1950–2018), Earth System Science Data, 13, 1547-1560, https://doi.org/10.5194/essd-13-1547-2021
Tramblay, Y., A. Rutkowska, E. Sauquet, C. Sefton, G. Laaha, M. Osuch, et al., 2021b. Trends in flow intermittence for European rivers, Hydrological Sciences Journal, 66, 37-49, https://doi.org/10.1080/02626667.2020.1849708
Uhe, P., D. Mitchell, P. D. Bates, N. Addor, J. Neal, and H. E. Beck, 2021. Model cascade from meteorological drivers to river flood hazard: flood-cascade v1.0, Geoscientific Model Development, 14, 4865-4890, https://doi.org/10.5194/gmd-14-4865-2021
Vishwakarma, B. D., P. Bates, N. Sneeuw, R. M. Westaway, and J. L. Bamber, 2021a. Re-assessing global water storage trends from GRACE time series, Environmental Research Letters, 16, 034005, https://doi.org/10.1088/1748-9326/abd4a9
Vishwakarma, B. D., J. Zhang, and N. Sneeuw, 2021b. Downscaling GRACE total water storage change using partial least squares regression, Scientific Data, 8, 95, https://doi.org/10.1038/s41597-021-00862-6
Vorobevskii, I., R. Kronenberg, and C. Bernhofer, 2021. On the runoff validation of ‘Global BROOK90’ automatic modeling framework, Hydrology Research, 52, 1083-1099, https://doi.org/10.2166/nh.2021.150
Wamucii, C. N., P. R. van Oel, A. Ligtenberg, J. M. Gathenya, and A. J. Teuling, 2021. Land use and climate change effects on water yield from East African forested water towers, Hydrology and Earth System Sciences, 25, 5641-5665, https://doi.org/10.5194/hess-25-5641-2021
Wang, D., D. Wang, and C. Mo, 2021a. The use of remote sensing-based ET estimates to improve global hydrological simulations in the Community Land Model Version 5.0, Remote Sensing, 13, 4460, https://doi.org/10.3390/rs13214460
Wang, F., G. Huang, Y. Li, J. Xu, G. Wang, J. Zhang, et al., 2021b. A statistical hydrological model for Yangtze River watershed based on stepwise cluster analysis, Frontiers in Earth Science, 9, https://doi.org/10.3389/feart.2021.742331
Wang, J., H. Gao, M. Liu, Y. Ding, Y. Wang, F. Zhao, and J. Xia, 2021c. Parameter regionalization of the FLEX-Global hydrological model, Science China Earth Sciences, 64, 571-588, https://doi.org/10.1007/s11430-020-9706-3
Wang, L., X. Gu, and H. E. Beck, 2021d. Cyclones and global floods from an observation-simulation evaluation: contributions and long-term changes, Water, 13, 2965, https://doi.org/10.3390/w13212965
Wang, R., P. Gentine, J. Yin, L. Chen, J. Chen, and L. Li, 2021e. Long-term relative decline in evapotranspiration with increasing runoff on fractional land surfaces, Hydrology and Earth System Sciences, 25, 3805-3818, https://doi.org/10.5194/hess-25-3805-2021
Wasko, C., R. Nathan, L. Stein, and D. O’Shea, 2021. Evidence of shorter more extreme rainfalls and increased flood variability under climate change, Journal of Hydrology, 603, 126994, https://doi.org/10.1016/j.jhydrol.2021.126994
Watson, A., S. Kralisch, J. van Rooyen, and J. Miller, 2021. Quantifying and understanding the source of recharge for alluvial systems in arid environments through the development of a seepage model, Journal of Hydrology, 601, 126650, https://doi.org/10.1016/j.jhydrol.2021.126650
Wu, J. S., Y. P. Li, J. Sun, P. P. Gao, G. H. Huang, and J. Liu, 2021. Identifying the runoff variation in the Naryn River Basin under multiple climate and land-use change scenarios, Journal of Water and Climate Change, https://doi.org/10.2166/wcc.2021.422
Xiang, Y., J. Chen, L. Li, T. Peng, and Z. Yin, 2021. Evaluation of eight global precipitation datasets in hydrological modeling, Remote Sensing, 13, 2831, https://doi.org/10.3390/rs13142831
Xue, Y., P. R. Houser, V. Maggioni, Y. Mei, S. V. Kumar, and Y. Yoon, 2021. Evaluation of High Mountain Asia-Land Data Assimilation System (Version 1) from 2003 to 2016, part I: a hyper-resolution terrestrial modeling system, JGR Atmospheres, 126, e2020JD034131, https://doi.org/10.1029/2020JD034131
Yang, X., Y. P. Li, and G. H. Huang, 2021a. A maximum entropy copula-based frequency analysis method for assessing bivariate drought risk: a case study of the Kaidu River Basin, Journal of Water and Climate Change, https://doi.org/10.2166/wcc.2021.272
Yang, Y., T. R. McVicar, D. Yang, Y. Zhang, S. Piao, S. Peng, and H. E. Beck, 2021b. Low and contrasting impacts of vegetation CO2 fertilization on global terrestrial runoff over 1982–2010: accounting for aboveground and belowground vegetation–CO2 effects, Hydrology and Earth System Sciences, 25, 3411-3427, https://doi.org/10.5194/hess-25-3411-2021
Yang, Y., M. Pan, P. Lin, H. E. Beck, Z. Zeng, D. Yamazaki, et al., 2021c. Global reach-level 3-hourly river flood reanalysis (1980–2019), Bulletin of the American Meteorological Society, 102, E2086-E2105, https://doi.org/10.1175/bams-d-20-0057.1
Yang, Y., M. L. Roderick, D. Yang, Z. Wang, F. Ruan, T. R. McVicar, et al., 2021d. Streamflow stationarity in a changing world, Environmental Research Letters, 16, 064096, https://doi.org/10.1088/1748-9326/ac08c1
Yin, G., B. A. Forman, and J. Wang, 2021. Assimilation of ground-based GPS observations of vertical displacement into a land surface model to improve terrestrial water storage estimates, Water Resources Research, 57, e2020WR028763, https://doi.org/10.1029/2020WR028763
Yin, G., and J. Park, 2021. The use of triple collocation approach to merge satellite- and model-based terrestrial water storage for flood potential analysis, Journal of Hydrology, 603, 127197, https://doi.org/10.1016/j.jhydrol.2021.127197
You, Y., J. Liu, Y. Zhang, H. E. Beck, X. Gu, and D. Kong, 2021. Impacts of El Niño–southern oscillation on global runoff: characteristic signatures and potential mechanisms, Hydrological Processes, 35, e14367, https://doi.org/10.1002/hyp.14367
Zăinescu, F., E. Anthony, and A. Vespremeanu-Stroe, 2021. River jets versus wave-driven longshore currents at river mouths, Frontiers in Marine Science, 8, https://doi.org/10.3389/fmars.2021.708258
Zamrane, Z., G. Mahé, and N.-E. Laftouhi, 2021. Wavelet analysis of rainfall and runoff multidecadal time series on large river basins in Western North Africa, Water, 13, 3243, https://doi.org/10.3390/w13223243
Zhang, L., and W. Brutsaert, 2021. Blending the evaporation precipitation ratio with the complementary principle function for the prediction of evaporation, Water Resources Research, 57, e2021WR029729, https://doi.org/10.1029/2021WR029729
Zhou, X., W. Ma, W. Echizenya, and D. Yamazaki, 2021a. The uncertainty of flood frequency analyses in hydrodynamic model simulations, Natural Hazards and Earth System Sciences, 21, 1071-1085, https://doi.org/10.5194/nhess-21-1071-2021
Zhou, X., C. Prigent, and D. Yamazaki, 2021b. Toward improved comparisons between land-surface-water-area estimates from a global river model and satellite observations, Water Resources Research, 57, e2020WR029256, https://doi.org/10.1029/2020WR029256