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.
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Abeshu, G. W., F. Tian, T. Wild, M. Zhao, S. Turner, A. F. M. K. Chowdhury, et al., 2023. Enhancing the representation of water management in global hydrological models, Geoscientific Model Development, 16, 5449-5472, https://doi.org/10.5194/gmd-16-5449-2023
Althoff, D., and G. Destouni, 2023. Global patterns in water flux partitioning: Irrigated and rainfed agriculture drives asymmetrical flux to vegetation over runoff, One Earth, 6, 1246-1257, https://doi.org/10.1016/j.oneear.2023.08.002
Amaranto, A., and M. Mazzoleni, 2023. B-AMA: A Python-coded protocol to enhance the application of data-driven models in hydrology, Environmental Modelling & Software, 160, 105609, https://doi.org/10.1016/j.envsoft.2022.105609
Ascott, M. J., V. Christelis, D. J. Lapworth, D. M. J. Macdonald, C. Tindimugaya, A. Iragena, et al., 2023. On the application of rainfall projections from a convection-permitting climate model to lumped catchment models, Journal of Hydrology, 617, 129097, https://doi.org/10.1016/j.jhydrol.2023.129097
Ayik, A., N. Ijumba, C. Kabiri, and P. Goffin, 2023. Preliminary assessment of small hydropower potential using the Soil and Water Assessment Tool model: A case study of Central Equatoria State, South Sudan, Energy Reports, 9, 2229-2246, https://doi.org/10.1016/j.egyr.2023.01.014
Barkhordari, H., M. Nasseri, and H. Rezazadeh, 2023. Possibility of global gridded streamflow dataset correction: applications of large-scale watersheds with different climates, Theoretical and Applied Climatology, 152, 627-647, https://doi.org/10.1007/s00704-023-04388-2
Basso, S., R. Merz, L. Tarasova, and A. Miniussi, 2023. Extreme flooding controlled by stream network organization and flow regime, Nature Geoscience, 16, 339-343, https://doi.org/10.1038/s41561-023-01155-w
Bossa, A. Y., J. d. D. Akpaca, J. Hounkpè, Y. Yira, and D. F. Badou, 2023. Non-Stationary Flood Discharge Frequency Analysis in West Africa, 4, 316-327, https://www.mdpi.com/2624-795X/4/3/18
Brendel, C., R. Capell, and A. Bartosova, 2023. To tame a land: Limiting factors in model performance for the multi-objective calibration of a pan-European, semi-distributed hydrological model for discharge and sediments, Journal of Hydrology: Regional Studies, 50, 101544, https://doi.org/10.1016/j.ejrh.2023.101544
Brown, B. C., A. H. Fullerton, D. Kopp, F. Tromboni, A. J. Shogren, J. A. Webb, et al., 2023. The Music of Rivers: The Mathematics of Waves Reveals Global Structure and Drivers of Streamflow Regime, 59, e2023WR034484, https://doi.org/10.1029/2023WR034484
Burek, P., and M. Smilovic, 2023. The use of GRDC gauging stations for calibrating large-scale hydrological models, Earth System Science Data, 15, 5617-5629, https://doi.org/10.5194/essd-15-5617-2023
Cárdenas Belleza, G. A., M. F. P. Bierkens, and M. T. H. van Vliet, 2023. Sectoral water use responses to droughts and heatwaves: analyses from local to global scales for 1990–2019, Environmental Research Letters, 18, 104008, https://doi.org/10.1088/1748-9326/acf82e
Carton, J. A., and G. A. Chepurin, 2023. RARE: The Regional Arctic Reanalysis Journal of Climate, 36, 2333-2348, https://doi.org/10.1175/JCLI-D-22-0340.1
Chawanda, C. J., A. Nkwasa, W. Thiery, and A. van Griensven, 2023. Combined impacts of climate and land-use change on future water resources in Africa, Hydrology and Earth System Sciences, 2023, 1-32, https://doi.org/10.5194/hess-2023-93
Chen, X., L. Jiang, Y. Luo, and J. Liu, 2023. A global streamflow indices time series dataset for large-sample hydrological analyses on streamflow regime (until 2022), Earth System Science Data, 15, 4463-4479, https://doi.org/10.5194/essd-15-4463-2023
Chevuturi, A., M. Tanguy, K. Facer-Childs, A. Martínez-de la Torre, S. Sarkar, S. Thober, et al., 2023. Improving global hydrological simulations through bias-correction and multi-model blending, Journal of Hydrology, 621, 129607, https://doi.org/10.1016/j.jhydrol.2023.129607
Collignan, J., J. Polcher, S. Bastin, and P. Quintana-Segui, 2023. Budyko Framework Based Analysis of the Effect of Climate Change on Watershed Evaporation Efficiency and Its Impact on Discharge Over Europe, 59, e2023WR034509, https://doi.org/10.1029/2023WR034509
De Keyser, J., D. S. Hayes, B. Marti, T. Siegfried, C. Seliger, H. Schwedhelm, et al., 2023. Integrating Open-Source Datasets to Analyze the Transboundary Water–Food–Energy–Climate Nexus in Central Asia, Water, 15, 3482, https://doi.org/10.3390/w15193482
Dessirier, B., G. Blicher-Mathiesen, H. E. Andersen, B. Gustafsson, B. Müller-Karulis, K. V. Meter, et al., 2023. A century of nitrogen dynamics in agricultural watersheds of Denmark, Environmental Research Letters, 18, 104018, https://doi.org/10.1088/1748-9326/acf86e
Ergün, E., and M. C. Demirel, 2023. On the use of distributed hydrologic model for filling large gaps at different parts of the streamflow data, Engineering Science and Technology, an International Journal, 37, 101321, https://doi.org/10.1016/j.jestch.2022.101321
Faisal, B. M. R., and Y. S. Hayakawa, 2023. Geomorphometric characterization and sediment connectivity of the middle Brahmaputra River basin, Geomorphology, 429, 108665, https://doi.org/10.1016/j.geomorph.2023.108665
Ferreira, V., B. Yong, H. Montecino, C. E. Ndehedehe, K. Seitz, H. Kutterer, and K. Yang, 2023. Estimating GRACE terrestrial water storage anomaly using an improved point mass solution, Scientific Data, 10, 234, https://doi.org/10.1038/s41597-023-02122-1
Gardini, A., 2023. Functional and variables selection in extreme value models for regional flood frequency analysis, Environmental and Ecological Statistics, 30, 715-739, https://doi.org/10.1007/s10651-023-00581-8
Gebrechorkos, S. H., M. T. Taye, B. Birhanu, D. Solomon, and T. Demissie, 2023. Future Changes in Climate and Hydroclimate Extremes in East Africa, Earth’s Future, 11, e2022EF003011, https://doi.org/10.1029/2022EF003011
Gray, L. C., L. Zhao, and A. S. Stillwell, 2023. Impacts of climate change on global total and urban runoff, Journal of Hydrology, 620, 129352, https://doi.org/10.1016/j.jhydrol.2023.129352
Greuell, W., and R. W. A. Hutjes, 2023. Skill and sources of skill in seasonal streamflow hindcasts for South America made with ECMWF’s SEAS5 and VIC, Journal of Hydrology, 617, 128806, https://doi.org/10.1016/j.jhydrol.2022.128806
Greve, P., P. Burek, L. Guillaumot, E. van Meijgaard, E. Aalbers, M. M. Smilovic, et al., 2023. Low flow sensitivity to water withdrawals in Central and Southwestern Europe under 2 K global warming, Environmental Research Letters, 18, 094020, https://doi.org/10.1088/1748-9326/acec60
Gu, L., J. Yin, S. Wang, J. Chen, H. Qin, X. Yan, et al., 2023. How well do the multi-satellite and atmospheric reanalysis products perform in hydrological modelling, Journal of Hydrology, 617, 128920, https://doi.org/10.1016/j.jhydrol.2022.128920
Günther, W., P. Miersch, U. Ninad, and J. Runge, 2023. Clustering of causal graphs to explore drivers of river discharge, Environmental Data Science, 2, e25, https://doi.org/10.1017/eds.2023.17
Gupta, A., R. W. H. Carroll, and S. A. McKenna, 2023. Changes in streamflow statistical structure across the United States due to recent climate change, Journal of Hydrology, 620, 129474, https://doi.org/10.1016/j.jhydrol.2023.129474
Hales, R. C., G. P. Williams, E. James Nelson, R. B. Sowby, D. P. Ames, and J. L. S. Lozano, 2023. Bias correcting discharge simulations from the GEOGloWS global hydrologic model, Journal of Hydrology, 626, 130279, https://doi.org/10.1016/j.jhydrol.2023.130279
Hawker, L., J. Neal, J. Savage, T. Kirkpatrick, R. Lord, Y. Zylberberg, et al., 2023. Assessing the next generation of Global Flood Models in the Central Highlands of Vietnam, Natural Hazards and Earth System Sciences, 2023, 1-42, https://doi.org/10.5194/nhess-2023-93
Hiyama, T., H. Park, K. Kobayashi, L. Lebedeva, and D. Gustafsson, 2023. Contribution of summer net precipitation to winter river discharge in permafrost zone of the Lena River basin, Journal of Hydrology, 616, 128797, https://doi.org/10.1016/j.jhydrol.2022.128797
Hoch, J. M., E. H. Sutanudjaja, N. Wanders, R. L. P. H. van Beek, and M. F. P. Bierkens, 2023. Hyper-resolution PCR-GLOBWB: opportunities and challenges from refining model spatial resolution to 1 km over the European continent, Hydrology and Earth System Sciences, 27, 1383-1401, https://doi.org/10.5194/hess-27-1383-2023
Jalali Shahrood, A., A. Ahrari, P. M. Rossi, B. Klöve, and A. Torabi Haghighi, 2023. RiTiCE: River Flow Timing Characteristics and Extremes in the Arctic Region, 15, 861, https://www.mdpi.com/2073-4441/15/5/861
Janiec, P., J. Nowosad, and Z. Zwoliński, 2023. A machine learning method for Arctic lakes detection in the permafrost areas of Siberia, European Journal of Remote Sensing, 56, 2163923, https://doi.org/10.1080/22797254.2022.2163923
Jarugula, S., and M. J. McPhaden, 2023. Indian Ocean Dipole affects eastern tropical Atlantic salinity through Congo River Basin hydrology, Communications Earth & Environment, 4, 366, https://doi.org/10.1038/s43247-023-01027-6
Khaki, M., S.-C. Han, K. Ghobadi-Far, I.-Y. Yeo, and N. Tangdamrongsub, 2023. Assimilation of GRACE Follow-On Inter-Satellite Laser Ranging Measurements Into Land Surface Models, 59, e2022WR032432, https://doi.org/10.1029/2022WR032432
Kimura, Y., Y. Hirabayashi, Y. Kita, X. Zhou, and D. Yamazaki, 2023. Methodology for constructing a flood-hazard map for a future climate, Hydrology and Earth System Sciences, 27, 1627-1644, https://doi.org/10.5194/hess-27-1627-2023
Klemme, A., T. Warneke, H. Bovensmann, M. Weigelt, J. Müller, T. Rixen, et al., 2023. Sediment transport in Indian rivers high enough to impact satellite gravimetry, Hydrology and Earth System Sciences, 2023, 1-15, https://doi.org/10.5194/hess-2023-37
Kuizenga, B., P. F. Tasseron, K. Wendt-Potthoff, and T. H. M. van Emmerik, 2023. From source to sea: Floating macroplastic transport along the Rhine river, Frontiers in Environmental Science, 11, 1180872, https://doi.org/10.3389/fenvs.2023.1180872
Kupzig, J., R. Reinecke, F. Pianosi, M. Flörke, and T. Wagener, 2023. Towards parameter estimation in global hydrological models, Environmental Research Letters, 18, 074023, https://doi.org/10.1088/1748-9326/acdae8
Ley, A., H. Bormann, and M. Casper, 2023. Intercomparing LSTM and RNN to a Conceptual Hydrological Model for a Low-Land River with a Focus on the Flow Duration Curve, Water, 15, 505, https://doi.org/10.3390/w15030505
Li, Y., A. Chen, G. Mao, P. Chen, H. Huang, H. Yang, et al., 2023. Multi-model analysis of historical runoff changes in the Lancang-Mekong River Basin – Characteristics and uncertainties, Journal of Hydrology, 619, 129297, https://doi.org/10.1016/j.jhydrol.2023.129297
Lin, Y., D. Wang, Y. Meng, W. Sun, J. Qiu, W. Shangguan, et al., 2023. Bias learning improves data driven models for streamflow prediction, Journal of Hydrology: Regional Studies, 50, 101557, https://doi.org/10.1016/j.ejrh.2023.101557
Liu, Q., Y. Yang, L. Liang, D. Yan, X. Wang, C. Li, and T. Sun, 2023. Shift in precipitation-streamflow relationship induced by multi-year drought across global catchments, Science of The Total Environment, 857, 159560, https://doi.org/10.1016/j.scitotenv.2022.159560
Ludwig, P., F. Ehmele, M. J. Franca, S. Mohr, A. Caldas-Alvarez, J. E. Daniell, et al., 2023. A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe – Part 2: Historical context and relation to climate change, Natural Hazards and Earth System Sciences, 23, 1287-1311, https://doi.org/10.5194/nhess-23-1287-2023
Magni, M., E. H. Sutanudjaja, Y. Shen, and D. Karssenberg, 2023. Global streamflow modelling using process-informed machine learning, Journal of Hydroinformatics, 25, 1648-1666, https://doi.org/10.2166/hydro.2023.217
Massari, C., V. Pellet, Y. Tramblay, W. T. Crow, G. J. Gründemann, T. Hascoetf, et al., 2023. On the relation between antecedent basin conditions and runoff coefficient for European floods, Journal of Hydrology, 625, 130012, https://doi.org/10.1016/j.jhydrol.2023.130012
Michailovsky, C. I., B. Coerver, M. Mul, and G. Jewitt, 2023. Investigating sources of variability in closing the terrestrial water balance with remote sensing, Hydrology and Earth System Sciences, 27, 4335-4354, https://doi.org/10.5194/hess-27-4335-2023
Miniussi, A., R. Merz, L. Kaule, and S. Basso, 2023. Identifying discontinuities of flood frequency curves, Journal of Hydrology, 617, 128989, https://doi.org/10.1016/j.jhydrol.2022.128989
Murray, A. M., G. H. Jørgensen, P. N. Godiksen, J. Anthonj, and H. Madsen, 2023. DHI-GHM: Real-time and forecasted hydrology for the entire planet, Journal of Hydrology, 620, 129431, https://doi.org/10.1016/j.jhydrol.2023.129431
Mushtaq, S., A. Miniussi, R. Merz, L. Tarasova, F. Marra, and S. Basso, 2023. Prediction of Extraordinarily High Floods Emerging From Heterogeneous Flow Generation Processes, Geophysical Research Letters, 50, e2023GL105429, https://doi.org/10.1029/2023GL105429
Naz, B. S., W. Sharples, Y. Ma, K. Goergen, and S. Kollet, 2023. Continental-scale evaluation of a fully distributed coupled land surface and groundwater model, ParFlow-CLM (v3.6.0), over Europe, Geoscientific Model Development, 16, 1617-1639, https://doi.org/10.5194/gmd-16-1617-2023
Ogunjo, S., 2023. Characterizing river discharge along River Niger using complexity–entropy causality plane, Arabian Journal of Geosciences, 16, 295, https://doi.org/10.1007/s12517-023-11392-3
Petch, S., B. Dong, T. Quaife, R. P. King, and K. Haines, 2023. Water and energy budgets over hydrological basins on short and long timescales, Hydrology and Earth System Sciences, 27, 1723-1744, https://doi.org/10.5194/hess-27-1723-2023
Petry, I., F. M. Fan, V. A. Siqueira, W. Collishonn, R. C. D. de Paiva, E. Quedi, et al., 2023. Seasonal streamflow forecasting in South America’s largest rivers, Journal of Hydrology: Regional Studies, 49, 101487, https://doi.org/10.1016/j.ejrh.2023.101487
Polcher, J., A. Schrapffer, E. Dupont, L. Rinchiuso, X. Zhou, O. Boucher, et al., 2023. Hydrological modelling on atmospheric grids: using graphs of sub-grid elements to transport energy and water, Geoscientific Model Development, 16, 2583-2606, https://doi.org/10.5194/gmd-16-2583-2023
Punys, P., G. Vyčienė, L. Jurevičius, and A. Kvaraciejus, 2023. Small Hydropower Assessment of Uganda Based on Multisource Geospatial Data, Water, 15, 2051, https://doi.org/10.3390/w15112051
Rajib, A., Q. Zheng, C. R. Lane, H. E. Golden, J. R. Christensen, I. I. Isibor, and K. Johnson, 2023. Human alterations of the global floodplains 1992–2019, Scientific Data, 10, 499, https://doi.org/10.1038/s41597-023-02382-x
Rees, M., L. E. Neaves, G. P. Lewis, H. C. de Lima, and E. Gagnon, 2023. Phylogenomic and morphological data reveal hidden patterns of diversity in the national tree of Brazil, Paubrasilia echinata, American Journal of Botany, 110, e16241, https://doi.org/10.1002/ajb2.16241
Régnier, L., M. Dolgushev, and O. Bénichou, 2023. Record ages of non-Markovian scale-invariant random walks, Nature Communications, 14, 6288, https://doi.org/10.1038/s41467-023-41945-9
Revel, M., X. Zhou, D. Yamazaki, and S. Kanae, 2023. Assimilation of transformed water surface elevation to improve river discharge estimation in a continental-scale river, Hydrology and Earth System Sciences, 27, 647-671, https://doi.org/10.5194/hess-27-647-2023
Riggs, R. M., G. H. Allen, J. Wang, T. M. Pavelsky, C. J. Gleason, C. H. David, and M. Durand, 2023. Extending global river gauge records using satellite observations, Environmental Research Letters, 18, 064027, https://doi.org/10.1088/1748-9326/acd407
Rottler, E., A. Bronstert, G. Bürger, and O. Rakovec, 2023. Rhine flood stories: Spatio-temporal analysis of historic and projected flood genesis in the Rhine River basin, Hydrological Processes, 37, e14918, https://doi.org/10.1002/hyp.14918
Ruppen, D., J. Runnalls, R. M. Tshimanga, B. Wehrli, and D. Odermatt, 2023. Optical remote sensing of large-scale water pollution in Angola and DR Congo caused by the Catoca mine tailings spill, International Journal of Applied Earth Observation and Geoinformation, 118, 103237, https://doi.org/10.1016/j.jag.2023.103237
Schalla, J., A. Hartmann, T. Abraham, and Y. Liu, 2023. Global hydrological parameter estimates to local applications: Influence of forcing and catchment properties, Hydrology Research, 54, 475-490, https://doi.org/10.2166/nh.2023.086
Scherrer, S., G. De Lannoy, Z. Heyvaert, M. Bechtold, C. Albergel, T. S. El-Madany, and W. Dorigo, 2023. Bias-blind and bias-aware assimilation of leaf area index into the Noah-MP land surface model over Europe, Hydrology and Earth System Sciences, 27, 4087-4114, https://doi.org/10.5194/hess-27-4087-2023
Schlegel, R. W., and J. P. Gattuso, 2023. A dataset for investigating socio-ecological changes in Arctic fjords, Earth System Science Data, 15, 3733-3746, https://doi.org/10.5194/essd-15-3733-2023
Shannon, S., A. Payne, J. Freer, G. Coxon, M. Kauzlaric, D. Kriegel, and S. Harrison, 2023. A snow and glacier hydrological model for large catchments – case study for the Naryn River, central Asia, Hydrology and Earth System Sciences, 27, 453-480, https://doi.org/10.5194/hess-27-453-2023
Sheikholeslami, R., and J. W. Hall, 2023. Global patterns and key drivers of stream nitrogen concentration: A machine learning approach, Science of The Total Environment, 868, 161623, https://doi.org/10.1016/j.scitotenv.2023.161623
Sidorchuk, A., 2023. The Large Rivers of the Past in West Siberia: Unknown Hydrological Regimen, Water, 15, 258, https://doi.org/10.3390/w15020258
Stewart-Koster, B., S. E. Bunn, P. Green, C. Ndehedehe, L. S. Andersen, D. I. Armstrong McKay, et al., 2023. Living within the safe and just Earth system boundaries for blue water, Nature Sustainability, https://doi.org/10.1038/s41893-023-01247-w
Tang, G., M. P. Clark, W. J. M. Knoben, H. Liu, S. Gharari, L. Arnal, et al., 2023a. The Impact of Meteorological Forcing Uncertainty on Hydrological Modeling: A Global Analysis of Cryosphere Basins, Water Resources Research, 59, e2022WR033767, https://doi.org/10.1029/2022WR033767
Tang, S., F. Sun, W. Liu, H. Wang, Y. Feng, and Z. Li, 2023b. Optimal Postprocessing Strategies With LSTM for Global Streamflow Prediction in Ungauged Basins, Water Resources Research, 59, e2022WR034352, https://doi.org/10.1029/2022WR034352
Trautmann, T., S. Koirala, A. Guentner, H. Kim, and M. Jung, 2023. Calibrating global hydrological models with GRACE TWS: does river storage matter?, Environmental Research Communications, 5, 081005, https://doi.org/10.1088/2515-7620/acece5
Wamucii, C. N., A. J. Teuling, A. Ligtenberg, J. M. Gathenya, and P. R. van Oel, 2023. Human influence on water availability variations in the upper Ewaso Ng’iro river basin, Kenya, Journal of Hydrology: Regional Studies, 47, 101432, https://doi.org/10.1016/j.ejrh.2023.101432
Wang, H. J., R. Merz, S. Yang, and S. Basso, 2023a. Inferring heavy tails of flood distributions through hydrograph recession analysis, Hydrology and Earth System Sciences, 27, 4369-4384, https://doi.org/10.5194/hess-27-4369-2023
Wang, H. J., R. Merz, S. Yang, L. Tarasova, and S. Basso, 2023b. Emergence of heavy tails in streamflow distributions: the role of spatial rainfall variability, Advances in Water Resources, 171, 104359, https://doi.org/10.1016/j.advwatres.2022.104359
Wang, J., J. Wei, W. Shan, and J. Zhao, 2023c. Modeling the water-energy-food-environment nexus and transboundary cooperation opportunity in the Brahmaputra River Basin, Journal of Hydrology: Regional Studies, 49, 101497, https://doi.org/10.1016/j.ejrh.2023.101497
Wang, X., J. Zhang, S. Wang, Y. Ge, Z. Duan, L. Sun, et al., 2023d. Reviving the Aral Sea: A Hydro-Eco-Social Perspective, Earth’s Future, 11, e2023EF003657, https://doi.org/10.1029/2023EF003657
Willcock, S., D. A. P. Hooftman, R. A. Neugarten, R. Chaplin-Kramer, J. I. Barredo, T. Hickler, et al., 2023. Model ensembles of ecosystem services fill global certainty and capacity gaps, Science Advances, 9, eadf5492, https://doi.org/10.1126/sciadv.adf5492
Wongchuig, S., B. Kitambo, F. Papa, A. Paris, A. S. Fleischmann, L. Gal, et al., 2023. Improved modeling of Congo’s hydrology for floods and droughts analysis and ENSO teleconnections, Journal of Hydrology: Regional Studies, 50, 101563, https://doi.org/10.1016/j.ejrh.2023.101563
Wootten, A. M., E. C. Massoud, D. E. Waliser, and H. Lee, 2023. Assessing sensitivities of climate model weighting to multiple methods, variables, and domains in the south-central United States, Earth System Dynamics, 14, 121-145, https://doi.org/10.5194/esd-14-121-2023
Xiong, J., Abhishek, L. Xu, H. A. Chandanpurkar, J. S. Famiglietti, C. Zhang, et al., 2023. ET-WB: water-balance-based estimations of terrestrial evaporation over global land and major global basins, Earth System Science Data, 15, 4571-4597, https://doi.org/10.5194/essd-15-4571-2023
Xu, Z. P., Y. P. Li, G. H. Huang, and Z. Y. Shen, 2023. Developing an integrated PCE-ANOVA-RF method for uncertainty quantification of hydrological model – The Amu Darya River Basin in Central Asia, Journal of Hydrology, 624, 129941, https://doi.org/10.1016/j.jhydrol.2023.129941
Yin, J., L. J. Slater, A. Khouakhi, L. Yu, P. Liu, F. Li, et al., 2023a. GTWS-MLrec: global terrestrial water storage reconstruction by machine learning from 1940 to present, Earth System Science Data, 15, 5597-5615, https://doi.org/10.5194/essd-15-5597-2023
Yin, Z., P. Lin, R. Riggs, G. H. Allen, X. Lei, Z. Zheng, and S. Cai, 2023b. A Synthesis of Global Streamflow characteristics, Hydrometeorology, and catchment Attributes (GSHA) for Large Sample River-Centric Studies, Earth System Science Data, 2023, 1-36, https://doi.org/10.5194/essd-2023-256
Zhai, X., Y. Li, H. Wang, G. Huang, and Y. Li, 2023. Assessment of the potential impacts of climate changes on Syr Darya watershed: A hybrid ensemble analysis method, Journal of Hydrology: Regional Studies, 47, 101415, https://doi.org/10.1016/j.ejrh.2023.101415
Zhang, L., M. Marshall, A. Vrieling, and A. Nelson, 2023a. The divergence of energy- and water-balance evapotranspiration estimates in humid regions, Journal of Hydrology, 624, 129971, https://doi.org/10.1016/j.jhydrol.2023.129971
Zhang, M., G. Zhai, T. He, and C. Wu, 2023b. A growing global threat: Long-term trends show cropland exposure to flooding on the rise, Science of The Total Environment, 899, 165675, https://doi.org/10.1016/j.scitotenv.2023.165675
Zhao, Y., C. Xu, Y. Liu, W. An, and Z. Guo, 2023. Irrawaddy River experienced more frequent hydrological drought events with global warming: Evidence from a 400-year tree ring oxygen isotope record, CATENA, 232, 107455, https://doi.org/10.1016/j.catena.2023.107455
Zhong, Y., B. Tian, B. D. Vishwakarma, W. Feng, Y. Wu, H. Bai, and M. Zhong, 2023. Reinterpreting Global GRACE Trends Based on Century-Long GRACE-REC Data, Water Resources Research, 59, e2023WR035817, https://doi.org/10.1029/2023WR035817
Zhou, C., R. van Nooijen, A. Kolechkina, E. Gargouri, F. Slama, and N. van de Giesen, 2023. The uncertainty associated with the use of copulas in multivariate analysis, Hydrological Sciences Journal, 68, 2169-2188, https://doi.org/10.1080/02626667.2023.2249459
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