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
| 
14 Nov 2020
Technical note |
| 14 Nov 2020
| 14 Nov 2020
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
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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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- Asymmetric emergence of low-to-no snow in the midlatitudes of the American Cordillera A. Rhoades et al. 10.1038/s41558-022-01518-y
- Incorporating relative humidity improves the accuracy of precipitation phase discrimination in High Mountain Asia F. Sun et al. 10.1016/j.atmosres.2022.106094
- Spatiotemporal changes of snow metrics in mountainous data-scarce areas using reanalyses M. Nouri & M. Homaee 10.1016/j.jhydrol.2021.126858
- Observed and projected changes in snow accumulation and snowline in California’s snowy mountains T. Shulgina et al. 10.1007/s00382-023-06776-w
- Evaluation of IMERG and ERA5 Precipitation-Phase Partitioning on the Global Scale W. Xiong et al. 10.3390/w14071122
- Evaluating the Water Cycle Over CONUS at the Watershed Scale for the Energy Exascale Earth System Model Version 1 (E3SMv1) Across Resolutions B. Harrop et al. 10.1029/2022MS003490
Latest update: 20 Nov 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...
