edu.ucar.opensky::articles:42821 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T17:58:43.531431 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.net/ark:/85065/d77s7t4m https://doi.org/10.5281/zenodo.12191841 https Related Dataset #1 SUMMA/mizuRoute model configurations and parameters for global ensemble modeling https://doi.org/10.5281/zenodo.7134868 https Related Software #1 CH-Earth/CWARHM: CWARHM workflow updates during peer review Uncertainty hotspots in global hydrologic modeling: The impact of precipitation and temperature forcings 2025-01-01T00:00:00Z publication https://n2t.net/ark:/85065/d77s7t4m https://doi.org/10.1175/BAMS-D-24-0007.1 Tang, Guoqiang author Clark, M. P. author Knoben, W. J. M. author Liu, H. author Gharari, S. author Arnal, L. author Wood, Andrew author Newman, Andrew J. author Freer, J. author Papalexiou, S. M. author UCAR/NCAR - Library publisher Quantifying hydrologic modeling uncertainties originating from meteorological uncertainties is crucial yet unexplored on the global scale. This study integrates a novel ensemble meteorological dataset with process-based hydrologic models, assessing the impact of precipitation and temperature uncertainties across approximately three million subbasins globally. We introduce two metrics to identify uncertainty hotspots: one tracing the uncertainty propagation from inputs to model outputs and the other measuring the uncertainty magnitude relative to hydrologic climatology (i.e., ratio between uncertainty and climate average). Our findings reveal different uncertainty responses across hydrologic variables to the combined precipitation and temperature uncertainties. For routed river streamflow, uncertainty propagation is strong in tropical rain forests and Europe (except the Scandinavian Peninsula) but weak in the deserts, which is partly attributed to the regional differences in baseflow ratios. In contrast, both uncertainty metrics indicate low streamflow uncertainties in cryosphere areas and downstream areas of major rivers. The substantial modeling uncertainties observed, particularly in the Southern Hemisphere and less developed regions, underscore the need to improve global spatial meteorological datasets. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication <span style="font-family:Arial;font-size:10pt;font-style:normal;font-weight:normal;" data-sheets-root="1">Copyright 2025 American Meteorological Society (AMS).</span> None eng geoscientificInformation