Articles | Volume 26, issue 22
https://doi.org/10.5194/hess-26-5721-2022
© Author(s) 2022. 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-26-5721-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Nov 2022
Research article |
| 14 Nov 2022
| 14 Nov 2022
Precipitation biases and snow physics limitations drive the uncertainties in macroscale modeled snow water equivalent
Hydrological Sciences Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD, USA
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
Carrie M. Vuyovich
Hydrological Sciences Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD, USA
Sujay V. Kumar
Hydrological Sciences Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD, USA
Melissa L. Wrzesien
Hydrological Sciences Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD, USA
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
Rhae Sung Kim
Hydrological Sciences Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD, USA
Goddard Earth Sciences Technology and Research II, University of
Maryland Baltimore County, Baltimore, MD, USA
Jennifer M. Jacobs
Department of Civil and Environmental Engineering, University of New Hampshire, Durham, NH, USA
Earth Systems Research Center, Institute for the Study of Earth,
Oceans, and Space, University of New Hampshire, Durham, NH, USA
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- A Multifactor Eigenvector Spatial Filtering-Based Method for Resolution-Enhanced Snow Water Equivalent Estimation in the Western United States Y. Chen et al. 10.3390/rs15153821
- Incorporating relative humidity in precipitation phase partitioning reduces model bias for some snow and streamflow metrics across the Northwest US B. Singh et al. 10.1016/j.jhydrol.2025.133833
- Spatiotemporal snow water storage uncertainty in the midlatitude American Cordillera Y. Fang et al. 10.5194/tc-17-5175-2023
- Sensitivity analysis of snow depth and surface air temperature to various WRF/Noah-MP model configurations in Central Europe Á. Varga & H. Breuer 10.1016/j.atmosres.2024.107659
- Optimizing snow property forecasts over the tibetan plateau through hybrid assimilation of satellite precipitation and water vapor radiances using WRF model configured with Noah-MP J. Ren et al. 10.1016/j.ejrh.2025.102334
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- Assessment of snow simulation using Noah-MP land surface model forced by various precipitation sources in the Central Tianshan Mountains, Central Asia T. Yang et al. 10.1016/j.atmosres.2024.107251
- Seasonal soil freeze/thaw variability across North America via ensemble land surface modeling M. Moradi et al. 10.1016/j.coldregions.2023.103806
- Assimilation of airborne gamma observations provides utility for snow estimation in forested environments E. Cho et al. 10.5194/hess-27-4039-2023
- Precipitation biases and snow physics limitations drive the uncertainties in macroscale modeled snow water equivalent E. Cho et al. 10.5194/hess-26-5721-2022
- How Well do Global Snow Products Characterize Snow Storage in High Mountain Asia? Y. Liu et al. 10.1029/2022GL100082
10 citations as recorded by crossref.
- Evaluating the utility of active microwave observations as a snow mission concept using observing system simulation experiments E. Cho et al. 10.5194/tc-17-3915-2023
- A Multifactor Eigenvector Spatial Filtering-Based Method for Resolution-Enhanced Snow Water Equivalent Estimation in the Western United States Y. Chen et al. 10.3390/rs15153821
- Incorporating relative humidity in precipitation phase partitioning reduces model bias for some snow and streamflow metrics across the Northwest US B. Singh et al. 10.1016/j.jhydrol.2025.133833
- Spatiotemporal snow water storage uncertainty in the midlatitude American Cordillera Y. Fang et al. 10.5194/tc-17-5175-2023
- Sensitivity analysis of snow depth and surface air temperature to various WRF/Noah-MP model configurations in Central Europe Á. Varga & H. Breuer 10.1016/j.atmosres.2024.107659
- Optimizing snow property forecasts over the tibetan plateau through hybrid assimilation of satellite precipitation and water vapor radiances using WRF model configured with Noah-MP J. Ren et al. 10.1016/j.ejrh.2025.102334
- A simple snow temperature index model exposes discrepancies between reanalysis snow water equivalent products A. Elias Chereque et al. 10.5194/tc-18-4955-2024
- Assessment of snow simulation using Noah-MP land surface model forced by various precipitation sources in the Central Tianshan Mountains, Central Asia T. Yang et al. 10.1016/j.atmosres.2024.107251
- Seasonal soil freeze/thaw variability across North America via ensemble land surface modeling M. Moradi et al. 10.1016/j.coldregions.2023.103806
- Assimilation of airborne gamma observations provides utility for snow estimation in forested environments E. Cho et al. 10.5194/hess-27-4039-2023
2 citations as recorded by crossref.
Latest update: 31 Jul 2025
Short summary
While land surface models are a common approach for estimating macroscale snow water equivalent (SWE), the SWE accuracy is often limited by uncertainties in model physics and forcing inputs. In this study, we found large underestimations of modeled SWE compared to observations. Precipitation forcings and melting physics limitations dominantly contribute to the SWE underestimations. Results provide insights into prioritizing strategies to improve the SWE simulations for hydrologic applications.
While land surface models are a common approach for estimating macroscale snow water equivalent...
