SnowClim v1.0: high-resolution snow model and data for the western United States

Lute, Abby C.; Abatzoglou, John; Link, Timothy

doi:https://doi.org/10.5194/gmd-15-5045-2022

Articles | Volume 15, issue 13

https://doi.org/10.5194/gmd-15-5045-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-15-5045-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 13

Model description paper

|

04 Jul 2022

Model description paper |

| 04 Jul 2022

SnowClim v1.0: high-resolution snow model and data for the western United States

Abby C. Lute, John Abatzoglou, and Timothy Link

Data sets

SnowClim Data A. C. Lute, John Abatzoglou, and Timothy Link https://datadryad.org/stash/share/wywmnpELgnP0b3joYVccmZJ0TKvgNsIh7PjQuz3FjXM

SnowClim Model and Dataset A. C. Lute, John Abatzoglou, and Timothy Link https://doi.org/10.4211/hs.acc4f39ad6924a78811750043d59e5d0

Model code and software

SnowClim Model A. C. Lute, John Abatzoglou, and Timothy Link https://datadryad.org/stash/share/wywmnpELgnP0b3joYVccmZJ0TKvgNsIh7PjQuz3FjXM

SnowClim Model and Dataset A. C. Lute, John Abatzoglou, and Timothy Link https://doi.org/10.4211/hs.acc4f39ad6924a78811750043d59e5d0

Short summary

We developed a snow model that can be used to quantify snowpack over large areas with a high degree of spatial detail. We ran the model over the western United States, creating a snow and climate dataset for three time periods. Compared to observations of snowpack, the model captured the key aspects of snow across time and space. The model and dataset will be useful in understanding historical and future changes in snowpack, with relevance to water resources, agriculture, and ecosystems.