Articles | Volume 24, issue 11
https://doi.org/10.5194/hess-24-5317-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-5317-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Technical note: Precipitation-phase partitioning at landscape scales to regional scales
Elissa Lynn
California Department of Water Resources, Sacramento, California,
95814, USA
Aaron Cuthbertson
California Department of Water Resources, Sacramento, California,
95814, USA
Minxue He
California Department of Water Resources, Sacramento, California,
95814, USA
Jordi P. Vasquez
California Department of Water Resources, Sacramento, California,
95814, USA
Michael L. Anderson
California Department of Water Resources, Sacramento, California,
95814, USA
Peter Coombe
California Department of Water Resources, Sacramento, California,
95814, USA
John T. Abatzoglou
Management of Complex Systems Department, University of California,
Merced, Merced, California, 95340, USA
Benjamin J. Hatchett
CORRESPONDING AUTHOR
Western Regional Climate Center, Desert Research Institute, Reno,
Nevada, 89512, USA
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- Projection of snowfall and precipitation phase changes over the Northwest China based on CMIP6 multimodels M. Xu et al. 10.1016/j.jhydrol.2024.131743
- An intercomparison of empirical schemes for partitioning precipitation phase J. Hu et al. 10.1016/j.ejrh.2024.101757
- Quantifying the Relationship Between Atmospheric River Origin Conditions and Landfall Temperature K. Gonzales et al. 10.1029/2022JD037284
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- Rain-on-snow responses to warmer Pyrenees: a sensitivity analysis using a physically based snow hydrological model J. Bonsoms et al. 10.5194/nhess-24-245-2024
- An autoencoder-based snow drought index S. Rasiya Koya et al. 10.1038/s41598-023-47999-5
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Latest update: 06 Dec 2024
Short summary
Precipitation partitioning across western US landscapes (1948–present) is estimated by combining gridded precipitation data with freezing level and precipitation data from an atmospheric reanalysis. Spatial patterns and trends in the precipitation phase over elevational and latitudinal gradients are examined. The largest increases in precipitation falling as rain occur during spring. This technique can be used as a diagnostic indicator to inform adaptive water management strategy development.
Precipitation partitioning across western US landscapes (1948–present) is estimated by combining...