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

Guoqiang Tang; Andrew W. Wood; Andrew J. Newman; Pierre E. Kirstetter; Chanel Mueller; Christopher Frans

doi:10.1016/j.jhydrol.2025.134761

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

Guoqiang Tang
, Andrew W. Wood
, Andrew J. Newman
, Pierre E. Kirstetter
, Chanel Mueller
, Christopher Frans

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	134761
Number of pages	16
Journal	Journal of Hydrology
Volume	666
DOIs	https://doi.org/10.1016/j.jhydrol.2025.134761
State	Published - Feb 2026

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10.1016/j.jhydrol.2025.134761

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

author = "Guoqiang Tang and Wood, \{Andrew W.\} and Newman, \{Andrew J.\} and Kirstetter, \{Pierre E.\} and Chanel Mueller and Christopher Frans",

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AU - Mueller, Chanel

AU - Frans, Christopher

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JO - Journal of Hydrology

JF - Journal of Hydrology

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

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