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2019

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.

Anwar, S. A., A. S. Zakey, S. M. Robaa, and M. M. Abdel Wahab, 2019. The influence of two land-surface hydrology schemes on the regional climate of Africa using the RegCM4 model, Theoretical and Applied Climatology, 136, 1535-1548, https://doi.org/10.1007/s00704-018-2556-8

Armstrong, R. L., K. Rittger, M. J. Brodzik, A. Racoviteanu, A. P. Barrett, S.-J. S. Khalsa, et al., 2019. Runoff from glacier ice and seasonal snow in High Asia: separating melt water sources in river flow, Regional Environmental Change, 19, 1249-1261, https://doi.org/10.1007/s10113-018-1429-0

Arnault, J., J. Wei, T. Rummler, B. Fersch, Z. Zhang, G. Jung, et al., 2019. A joint soil-vegetation-atmospheric water tagging procedure with WRF-Hydro: implementation and application to the case of precipitation partitioning in the Upper Danube River Basin, 55, 6217-6243, https://doi.org/10.1029/2019WR024780

Ayzel, G., and A. Izhitskiy, 2019. Climate change impact assessment on freshwater inflow into the Small Aral Sea, 11, 2377, https://www.mdpi.com/2073-4441/11/11/2377

Babagoli Matikolaei, J., A. Aliakbari Bidokhti, and M. Shiea, 2019. Some aspects of the deep abyssal overflow between the middle and southern basins of the Caspian Sea, Ocean Science, 15, 459-476, https://doi.org/10.5194/os-15-459-2019

Behrangi, A., A. Singh, Y. Song, and M. Panahi, 2019. Assessing gauge undercatch correction in Arctic Basins in light of GRACE observations, 46, 11358-11366, https://doi.org/10.1029/2019GL084221

Benedict, I., C. C. van Heerwaarden, A. H. Weerts, and W. Hazeleger, 2019. The benefits of spatial resolution increase in global simulations of the hydrological cycle evaluated for the Rhine and Mississippi basins, Hydrology and Earth System Sciences, 23, 1779-1800, https://doi.org/10.5194/hess-23-1779-2019

Besset, M., E. J. Anthony, and F. Bouchette, 2019. Multi-decadal variations in delta shorelines and their relationship to river sediment supply: An assessment and review, Earth-Science Reviews, 193, 199-219, https://doi.org/10.1016/j.earscirev.2019.04.018

Box, J. E., W. T. Colgan, T. R. Christensen, N. M. Schmidt, M. Lund, F.-J. W. Parmentier, et al., 2019. Key indicators of Arctic climate change: 1971–2017, Environmental Research Letters, 14, 045010, https://doi.org/10.1088/1748-9326/aafc1b

Bring, A., R. Goldenberg, Z. Kalantari, C. Prieto, Y. Ma, J. Jarsjö, and G. Destouni, 2019. Contrasting hydroclimatic model-data agreements over the Nordic-Arctic Region, Earth's Future, 7, 1270-1282, https://doi.org/10.1029/2019EF001296

Brunner, M. I., and L. M. Tallaksen, 2019. Proneness of European Catchments to Multiyear Streamflow Droughts, Water Resources Research, 55, 8881-8894, https://doi.org/10.1029/2019WR025903

Caldwell, P. M., A. Mametjanov, Q. Tang, L. P. Van Roekel, J.-C. Golaz, W. Lin, et al., 2019. The DOE E3SM Coupled Model Version 1: description and results at high resolution, Journal of Advances in Modeling Earth Systems, 11, 4095-4146, https://doi.org/10.1029/2019MS001870

Ceola, S., F. Laio, and A. Montanari, 2019. Global-scale human pressure evolution imprints on sustainability of river systems, Hydrology and Earth System Sciences, 23, 3933-3944, https://doi.org/10.5194/hess-23-3933-2019

Chen, X., L. R. Leung, M. Wigmosta, and M. Richmond, 2019a. Impact of atmospheric rivers on surface hydrological processes in western U.S. watersheds, JGR Atmospheres, 124, 8896-8916, https://doi.org/10.1029/2019JD030468

Chen, Y., V. Cvetkovic, and G. Destouni, 2019b. Scenarios of nutrient-related solute loading and transport fate from different land catchments and coasts into the Baltic Sea, Water, 11, 1407, https://doi.org/10.3390/w11071407

Chen, Y., G. Vigouroux, A. Bring, V. Cvetkovic, and G. Destouni, 2019c. Dominant hydro-climatic drivers of water temperature, salinity, and flow variability for the large-scale system of the Baltic Coastal Wetlands, Water, 11, 552, https://doi.org/10.3390/w11030552

Cozzi, S., C. Ibáñez, L. Lazar, P. Raimbault, and M. Giani, 2019. Flow regime and nutrient-loading trends from the largest South European watersheds: implications for the productivity of Mediterranean and Black Sea’s coastal areas, Water, 11, 1, https://doi.org/10.3390/w11010001

Dai, Z., J. Du, Z. Tang, S. Ou, S. Brody, X. Mei, et al., 2019. Detection of linkage between solar and lunar cycles and runoff of the world's large rivers, Earth and Space Science, 6, 914-930, https://doi.org/10.1029/2018EA000541

Decharme, B., C. Delire, M. Minvielle, J. Colin, J.-P. Vergnes, A. Alias, et al., 2019. Recent changes in the ISBA-CTRIP land surface system for use in the CNRM-CM6 climate model and in global off-line hydrological applications, Journal of Advances in Modeling Earth Systems, 11, 1207-1252, https://doi.org/10.1029/2018MS001545

Dembélé, M., F. Oriani, J. Tumbulto, G. Mariéthoz, and B. Schaefli, 2019. Gap-filling of daily streamflow time series using direct sampling in various hydroclimatic settings, Journal of Hydrology, 569, 573-586, https://doi.org/10.1016/j.jhydrol.2018.11.076

Demirel, M. C., A. Özen, S. Orta, E. Toker, H. K. Demir, Ö. Ekmekcioğlu, et al., 2019. Additional value of using satellite-based soil moisture and two sources of groundwater data for hydrological model calibration, Water, 11, 2083, https://doi.org/10.3390/w11102083

Devitt, L., 2019. Evaluation of a Hydrological Modelling Framework, DECIPHeR, for Use in Large and Data Scarce River Basins: Upper Niger Case Study, University of Bristol, Master's thesis.

Didovets, I., V. Krysanova, G. Bürger, S. Snizhko, V. Balabukh, and A. Bronstert, 2019. Climate change impact on regional floods in the Carpathian region, Journal of Hydrology: Regional Studies, 22, 100590, https://doi.org/10.1016/j.ejrh.2019.01.002

Dippner, J. W., I. Bartl, E. Chrysagi, P. Holtermann, A. Kremp, F. Thoms, and M. Voss, 2019. Lagrangian Residence Time in the Bay of Gdańsk, Baltic Sea, Frontiers in Marine Science, 6, https://doi.org/10.3389/fmars.2019.00725

Dixon, S. G., and R. L. Wilby, 2019. A seasonal forecasting procedure for reservoir inflows in Central Asia, River Research and Applications, 35, 1141-1154, https://doi.org/10.1002/rra.3506

Durand, F., C. G. Piecuch, M. Becker, F. Papa, S. V. Raju, J. U. Khan, and R. M. Ponte, 2019. Impact of Continental Freshwater Runoff on Coastal Sea Level, Surveys in Geophysics, 40, 1437-1466, https://doi.org/10.1007/s10712-019-09536-w

Durocher, M., A. I. Requena, D. H. Burn, and J. Pellerin, 2019. Analysis of trends in annual streamflow to the Arctic Ocean, Hydrological Processes, 33, 1143-1151, https://doi.org/10.1002/hyp.13392

Ehsan Bhuiyan, M. A., E. I. Nikolopoulos, E. N. Anagnostou, J. Polcher, C. Albergel, E. Dutra, et al., 2019. Assessment of precipitation error propagation in multi-model global water resource reanalysis, Hydrology and Earth System Sciences, 23, 1973-1994, https://doi.org/10.5194/hess-23-1973-2019

Emerton, R. E., E. M. Stephens, and H. L. Cloke, 2019. What is the most useful approach for forecasting hydrological extremes during El Niño?, Environmental Research Communications, 1, 031002, https://doi.org/10.1088/2515-7620/ab114e

Ficchì, A., and L. Stephens, 2019. Climate variability alters flood timing across Africa, Geophysical Research Letters, 46, 8809-8819, https://doi.org/10.1029/2019GL081988

Fowler, M. D., G. J. Kooperman, J. T. Randerson, and M. S. Pritchard, 2019. The effect of plant physiological responses to rising CO2 on global streamflow, Nature Climate Change, 9, 873-879, https://doi.org/10.1038/s41558-019-0602-x

Ganguli, P., and B. Merz, 2019a. Extreme coastal water levels exacerbate fluvial flood hazards in Northwestern Europe, Scientific Reports, 9, 13165, https://doi.org/10.1038/s41598-019-49822-6

Ganguli, P., and B. Merz, 2019b. Trends in compound flooding in Northwestern Europe during 1901–2014, Geophysical Research Letters, 46, 10810-10820, https://doi.org/10.1029/2019GL084220

Ghiggi, G., V. Humphrey, S. I. Seneviratne, and L. Gudmundsson, 2019. GRUN: an observation-based global gridded runoff dataset from 1902 to 2014, Earth System Science Data, 11, 1655-1674, https://doi.org/10.5194/essd-11-1655-2019

Hirpa, F. A., L. Alfieri, T. Lees, J. Peng, E. Dyer, and S. J. Dadson, 2019. Streamflow response to climate change in the Greater Horn of Africa, Climatic Change, 156, 341-363, https://doi.org/10.1007/s10584-019-02547-x

Hobeichi, S., G. Abramowitz, J. Evans, and H. E. Beck, 2019. Linear Optimal Runoff Aggregate (LORA): a global gridded synthesis runoff product, Hydrology and Earth System Sciences, 23, 851-870, https://doi.org/10.5194/hess-23-851-2019

Hoch, J. M., and M. A. Trigg, 2019. Advancing global flood hazard simulations by improving comparability, benchmarking, and integration of global flood models, Environmental Research Letters, 14, 034001, https://doi.org/10.1088/1748-9326/aaf3d3

Humphrey, V., and L. Gudmundsson, 2019. GRACE-REC: a reconstruction of climate-driven water storage changes over the last century, Earth System Science Data, 11, 1153-1170, https://doi.org/10.5194/essd-11-1153-2019

Ibáñez, C., C. Alcaraz, N. Caiola, P. Prado, R. Trobajo, X. Benito, et al., 2019. Basin-scale land use impacts on world deltas: Human vs natural forcings, Global and Planetary Change, 173, 24-32, https://doi.org/10.1016/j.gloplacha.2018.12.003

Jäggi, A., M. Weigelt, F. Flechtner, A. Güntner, T. Mayer-Gürr, S. Martinis, et al., 2019. European Gravity Service for Improved Emergency Management (EGSIEM)—from concept to implementation, Geophysical Journal International, 218, 1572-1590, https://doi.org/10.1093/gji/ggz238

Karakurt, S., L. Schmid, U. Hübner, and J. E. Drewes, 2019. Dynamics of wastewater effluent contributions in streams and impacts on drinking water supply via riverbank filtration in Germany - a national reconnaissance, Environmental Science & Technology, 53, 6154-6161, https://doi.org/10.1021/acs.est.8b07216

Khaki, M., and J. Awange, 2019. Improved remotely sensed satellite products for studying Lake Victoria's water storage changes, Science of The Total Environment, 652, 915-926, https://doi.org/10.1016/j.scitotenv.2018.10.279

Khaki, M., I. Hoteit, M. Kuhn, E. Forootan, and J. Awange, 2019. Assessing data assimilation frameworks for using multi-mission satellite products in a hydrological context, Science of The Total Environment, 647, 1031-1043, https://doi.org/10.1016/j.scitotenv.2018.08.032

Khanal, S., A. F. Lutz, W. W. Immerzeel, H. d. Vries, N. Wanders, and B. v. d. Hurk, 2019a. The impact of meteorological and hydrological memory on compound peak flows in the Rhine River Basin, Atmosphere, 10, 171, https://doi.org/10.3390/atmos10040171

Khanal, S., N. Ridder, H. de Vries, W. Terink, and B. van den Hurk, 2019b. Storm surge and extreme river discharge: a compound event analysis using ensemble impact modeling, Frontiers in Earth Science, 7, https://doi.org/10.3389/feart.2019.00224

Kim, D., 2019. Ensemble learning regression for estimating river discharge using remotely sensed data and hydrological model, University of Houston, PhD thesis.

Knauer, J., 2019. Integrating observations and models to understand ecophysiological controls on terrestrial water-carbon coupling, Friedrich-Schiller-Universität Jena, PhD thesis.

Kvas, A., S. Behzadpour, M. Ellmer, B. Klinger, S. Strasser, N. Zehentner, and T. Mayer-Gürr, 2019. ITSG-Grace2018: overview and evaluation of a new GRACE-only gravity field time series, JGR Solid Earth, 124, 9332-9344, https://doi.org/10.1029/2019JB017415

Lan Anh, D. T., and F. Aires, 2019. River discharge estimation based on satellite water extent and topography: An application over the Amazon, Journal of Hydrometeorology, 20, 1851-1866, https://doi.org/10.1175/jhm-d-18-0206.1

Laraque, A., J. L. Lopez, S. Yepez, and P. Georgescu, 2019. Water and sediment budget of Casiquiare Channel linking Orinoco and Amazon Catchments, Venezuela, Water, 11, 2068, https://doi.org/10.3390/w11102068

Liersch, S., S. Fournet, H. Koch, A. G. Djibo, J. Reinhardt, J. Kortlandt, et al., 2019. Water resources planning in the Upper Niger River basin: Are there gaps between water demand and supply?, Journal of Hydrology: Regional Studies, 21, 176-194, https://doi.org/10.1016/j.ejrh.2018.12.006

Lin, P., M. Pan, H. E. Beck, Y. Yang, D. Yamazaki, R. Frasson, et al., 2019. Global reconstruction of naturalized river flows at 2.94 Million reaches, 55, 6499-6516, https://doi.org/10.1029/2019WR025287

Linke, S., B. Lehner, C. Ouellet Dallaire, J. Ariwi, G. Grill, M. Anand, et al., 2019. Global hydro-environmental sub-basin and river reach characteristics at high spatial resolution, Scientific Data, 6, 283, https://doi.org/10.1038/s41597-019-0300-6

Liu, J., Q. Zhang, S. Feng, X. Gu, V. P. Singh, and P. Sun, 2019. Global attribution of runoff variance across multiple timescales, JGR Atmospheres, 124, 13962-13974, https://doi.org/10.1029/2019JD030539

Lobanova, A., 2019. The assessment of hydrological impacts of climate change and their implications for water management across scales, Technical University of Berlin, PhD thesis.

Lorente, P., M. García-Sotillo, A. Amo-Baladrón, R. Aznar, B. Levier, J. C. Sánchez-Garrido, et al., 2019. Skill assessment of global, regional, and coastal circulation forecast models: evaluating the benefits of dynamical downscaling in IBI (Iberia–Biscay–Ireland) surface waters, Ocean Science, 15, 967-996, https://doi.org/10.5194/os-15-967-2019

Lv, M., Z. Ma, M. Li, and Z. Zheng, 2019. Quantitative analysis of terrestrial water storage changes under the Grain for Green Program in the Yellow River Basin, JGR Atmospheres, 124, 1336-1351, https://doi.org/10.1029/2018JD029113

Mao, G., and J. Liu, 2019. WAYS v1: a hydrological model for root zone water storage simulation on a global scale, Geoscientific Model Development, 12, 5267-5289, https://doi.org/10.5194/gmd-12-5267-2019

Mao, Y., T. Zhou, L. R. Leung, T. K. Tesfa, H.-Y. Li, K. Wang, et al., 2019. Flood inundation generation mechanisms and their changes in 1953–2004 in global major river basins, Geoscientific Model Development, 124, 11672-11692, https://doi.org/10.1029/2019JD031381

Marková, R., S. Kohnová, and J. Parajka, 2019. Detecting similarity in flood seasonality of Slovak and Austrian Catchments, IOP Conference Series: Materials Science and Engineering, 471, 022027, https://doi.org/10.1088/1757-899x/471/2/022027

Mason, E., S. Ruiz, R. Bourdalle-Badie, G. Reffray, M. García-Sotillo, and A. Pascual, 2019. New insight into 3-D mesoscale eddy properties from CMEMS operational models in the western Mediterranean, Ocean Science, 15, 1111-1131, https://doi.org/10.5194/os-15-1111-2019

Mathison, C. T., 2019. Simulating the impacts of climate on rivers, irrigation and crops in South Asia, University of Leeds, PhD thesis.

Mazzoleni, M., L. Brandimarte, and A. Amaranto, 2019. Evaluating precipitation datasets for large-scale distributed hydrological modelling, Journal of Hydrology, 578, 124076, https://doi.org/10.1016/j.jhydrol.2019.124076

McClean, F. C., 2019. Broad-scale flood modelling in the cloud: validation and sensitivities from hazard to impact, Newcastle University, PhD thesis.

Meisch, C., U. Schirpke, L. Huber, J. Rüdisser, and U. Tappeiner, 2019. Assessing freshwater provision and consumption in the Alpine Space applying the ecosystem service concept, Sustainability, 11, 1131, https://doi.org/10.3390/su11041131

Mercado-Bettín, D., J. F. Salazar, and J. C. Villegas, 2019. Long-term water balance partitioning explained by physical and ecological characteristics in world river basins, Ecohydrology, 12, e2072, https://doi.org/10.1002/eco.2072

Molliex, S., A. J. Kettner, D. Laurent, L. Droz, T. Marsset, A. Laraque, et al., 2019. Simulating sediment supply from the Congo watershed over the last 155 ka, Quaternary Science Reviews, 203, 38-55, https://doi.org/10.1016/j.quascirev.2018.11.001

Moner-Girona, M., K. Bódis, J. Morrissey, I. Kougias, M. Hankins, T. Huld, and S. Szabó, 2019. Decentralized rural electrification in Kenya: Speeding up universal energy access, Energy for Sustainable Development, 52, 128-146, https://doi.org/10.1016/j.esd.2019.07.009

Munzimi, Y. A., M. C. Hansen, and K. O. Asante, 2019. Estimating daily streamflow in the Congo Basin using satellite-derived data and a semi-distributed hydrological model, Hydrological Sciences Journal, 64, 1472-1487, 10.1080/02626667.2019.1647342

Ndehedehe, C. E., R. O. Anyah, D. Alsdorf, N. O. Agutu, and V. G. Ferreira, 2019. Modelling the impacts of global multi-scale climatic drivers on hydro-climatic extremes (1901–2014) over the Congo basin, Science of The Total Environment, 651, 1569-1587, https://doi.org/10.1016/j.scitotenv.2018.09.203

Normandin, C., 2019. Contribution of high resolution spatial remote sensing for the study of surface water cycles and suspended particulate matter along the watershed-coastal ocean continuum, Université de Bordeaux, PhD thesis.

Osadchiev, A. A., E. E. Asadulin, A. Y. Miroshnikov, I. B. Zavialov, E. O. Dubinina, and P. A. Belyakova, 2019. Bottom sediments reveal inter-annual variability of interaction between the Ob and Yenisei Plumes in the Kara Sea, Scientific Reports, 9, 18642, https://doi.org/10.1038/s41598-019-55242-3

Pagliero, L., F. Bouraoui, J. Diels, P. Willems, and N. McIntyre, 2019. Investigating regionalization techniques for large-scale hydrological modelling, Journal of Hydrology, 570, 220-235, https://doi.org/10.1016/j.jhydrol.2018.12.071

Peichl, M., S. Thober, L. Samaniego, B. Hansjürgens, and A. Marx, 2019. Climate impacts on long-term silage maize yield in Germany, Scientific Reports, 9, 7674, https://doi.org/10.1038/s41598-019-44126-1

Piemontese, L., I. Fetzer, J. Rockström, and F. Jaramillo, 2019. Future Hydroclimatic Impacts on Africa: Beyond the Paris Agreement, Earth's Future, 7, 748-761, https://doi.org/10.1029/2019EF001169

Ponomarev, E. I., T. V. Ponomareva, and A. S. Prokushkin, 2019. Intraseasonal dynamics of river discharge and burned forest areas in Siberia, Water, 11, 1146, https://doi.org/10.3390/w11061146

Pun, I.-F., J. C. L. Chan, I.-I. Lin, K. T. F. Chan, J. F. Price, D. S. Ko, et al., 2019. Rapid intensification of typhoon Hato (2017) over shallow water, Sustainability, 11, 3709, https://doi.org/10.3390/su11133709

Purkhauser, A. F., J. A. Koch, and R. Pail, 2019. Applicability of NGGM near-real time simulations in flood detection, Journal of Geodetic Science, 9, 111-126, https://doi.org/10.1515/jogs-2019-0011

Qin, Y., N. D. Mueller, S. Siebert, R. B. Jackson, A. AghaKouchak, J. B. Zimmerman, et al., 2019. Flexibility and intensity of global water use, Nature Sustainability, 2, 515-523, https://doi.org/10.1038/s41893-019-0294-2

Quesada-Montano, B., F. Wetterhall, I. K. Westerberg, H. G. Hidalgo, and S. Halldin, 2019. Characterising droughts in Central America with uncertain hydro-meteorological data, Theoretical and Applied Climatology, 137, 2125-2138, https://doi.org/10.1007/s00704-018-2730-z

Renard, B., and M. Thyer, 2019. Revealing hidden climate indices from the occurrence of hydrologic extremes, Water Resources Research, 55, 7662-7681, https://doi.org/10.1029/2019WR024951

Revel, M., D. Ikeshima, D. Yamazaki, and S. Kanae, 2019. A physically based empirical localization method for assimilating synthetic SWOT observations of a continental-scale river: a case study in the Congo Basin, Water, 11, 829, https://doi.org/10.3390/w11040829

Ribeiro, R. d. A., A. S. Rovai, R. R. Twilley, and E. Castañeda-Moya, 2019. Spatial variability of mangrove primary productivity in the neotropics, Ecosphere, 10, e02841, https://doi.org/10.1002/ecs2.2841

Samanta, A., G. R. Tripathy, and R. Das, 2019. Temporal variations in water chemistry of the (Lower) Brahmaputra River: implications to seasonality in mineral weathering, Geochemistry, Geophysics, Geosystems, 20, 2769-2785, https://doi.org/10.1029/2018GC008047

Schewe, J., S. N. Gosling, C. Reyer, F. Zhao, P. Ciais, J. Elliott, et al., 2019. State-of-the-art global models underestimate impacts from climate extremes, Nature Communications, 10, 1005, https://doi.org/10.1038/s41467-019-08745-6

Schick, S., O. Rössler, and R. Weingartner, 2019. An evaluation of model output statistics for subseasonal streamflow forecasting in European catchments Journal of Hydrometeorology, 20, 1399-1416, https://doi.org/10.1175/jhm-d-18-0195.1

Schröder, S., A. Springer, J. Kusche, B. Uebbing, L. Fenoglio-Marc, B. Diekkrüger, and T. Poméon, 2019. Niger discharge from radar altimetry: bridging gaps between gauge and altimetry time series, Hydrology and Earth System Sciences, 23, 4113-4128, https://doi.org/10.5194/hess-23-4113-2019

Şen, O., Ş. Saçu, T. Erdik, J. D. Erdik, and İ. Öztürk, 2019. Investigation of Northern Bosphorus Flow Structure with River Danube, 9th International Symposium on Atmospheric Sciences.

Shevnina, E., and A. Silaev, 2019. The probabilistic hydrological MARCSHYDRO (the MARkov Chain System) model: its structure and core version 0.2, Geoscientific Model Development, 12, 2767-2780, https://doi.org/10.5194/gmd-12-2767-2019

Sinha, D., T. H. Syed, and J. T. Reager, 2019. Utilizing combined deviations of precipitation and GRACE-based terrestrial water storage as a metric for drought characterization: A case study over major Indian river basins, Journal of Hydrology, 572, 294-307, https://doi.org/10.1016/j.jhydrol.2019.02.053

Soligno, I. J. D. P. d. T., 2019. Spatial and temporal patterns of global freshwater use for food production and trade: PhD thesis thesis, University of Torino.

Sordo-Ward, A., I. Granados, A. Iglesias, and L. Garrote, 2019. Blue water in Europe: estimates of current and future availability and analysis of uncertainty, Water, 11, 420, https://doi.org/10.3390/w11030420

Steirou, E., L. Gerlitz, H. Apel, X. Sun, and B. Merz, 2019. Climate influences on flood probabilities across Europe, Hydrology and Earth System Sciences, 23, 1305-1322, https://doi.org/10.5194/hess-23-1305-2019

Su, L., C. Miao, Q. Duan, X. Lei, and H. Li, 2019. Multiple-wavelet coherence of world's large rivers with meteorological factors and ocean signals, JGR Atmospheres, 124, 4932-4954, https://doi.org/10.1029/2018JD029842

Thober, S., M. Cuntz, M. Kelbling, R. Kumar, J. Mai, and L. Samaniego, 2019. The multiscale routing model mRM v1.0: simple river routing at resolutions from 1 to 50 km, Geoscientific Model Development, 12, 2501-2521, https://doi.org/10.5194/gmd-12-2501-2019

Tokuda, D., H. Kim, D. Yamazaki, and T. Oki, 2019. Development of a global river water temperature model considering fluvial dynamics and seasonal freeze-thaw cycle, Water Resources Research, 55, 1366-1383, https://doi.org/10.1029/2018WR023083

Trott, C. B., B. Subrahmanyam, V. S. N. Murty, and J. F. Shriver, 2019. Large-scale fresh and salt water exchanges in the Indian Ocean, JGR Oceans, 124, 6252-6269, https://doi.org/10.1029/2019JC015361

Uereyen, S., and C. Kuenzer, 2019. A review of earth observation-based analyses for major river basins, Remote Sensing, 11, 2951, https://doi.org/10.3390/rs11242951

Uhe, P. F., D. M. Mitchell, P. D. Bates, C. C. Sampson, A. M. Smith, and A. S. Islam, 2019. Enhanced flood risk with 1.5 °C global warming in the Ganges–Brahmaputra–Meghna basin, Environmental Research Letters, 14, 074031, https://doi.org/10.1088/1748-9326/ab10ee

van der Wiel, K., N. Wanders, F. M. Selten, and M. F. P. Bierkens, 2019. Added value of large ensemble simulations for assessing extreme river discharge in a 2 °C warmer world, Geophysical Research Letters, 46, 2093-2102, https://doi.org/10.1029/2019GL081967

Vigouroux, G., G. Destouni, A. Jönsson, and V. Cvetkovic, 2019. A scalable dynamic characterisation approach for water quality management in semi-enclosed seas and archipelagos, Marine Pollution Bulletin, 139, 311-327, https://doi.org/10.1016/j.marpolbul.2018.12.021

Wang, F., and J. Polcher, 2019. Assessing the freshwater flux from the continents to the Mediterranean Sea, Scientific Reports, 9, 8024, https://doi.org/10.1038/s41598-019-44293-1

Wang, W., Y. Zhu, B. Liu, Y. Chen, and X. Zhao, 2019. Innovative variance corrected Sen’s trend test on persistent hydrometeorological data, Water, 11, 2119, https://doi.org/10.3390/w11102119

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