High-resolution ensemble precipitation and temperature datasets for CONUS based on a probabilistic geospatial estimation approach

Tang, G., Wood, A., Newman, A. J., Kirstetter, P. E., Mueller, C., et al. (2026). High-resolution ensemble precipitation and temperature datasets for CONUS based on a probabilistic geospatial estimation approach. Journal of Hydrology, doi:https://doi.org/10.1016/j.jhydrol.2025.134761

Title High-resolution ensemble precipitation and temperature datasets for CONUS based on a probabilistic geospatial estimation approach
Genre Article
Author(s) Guoqiang Tang, Andrew Wood, Andrew J. Newman, P. E. Kirstetter, C. Mueller, C. Frans
Abstract
Publication Title Journal of Hydrology
Publication Date Feb 1, 2026
Publisher's Version of Record https://doi.org/10.1016/j.jhydrol.2025.134761
OpenSky Citable URL https://n2t.net/ark:/85065/d7nv9psn
OpenSky Listing View on OpenSky
RAL Affiliations HAP

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