Atmospheric-river-induced precipitation in California as simulated by the regionally refined Simple Convective Resolving E3SM Atmosphere Model (SCREAM) Version 0

Bogenschutz, Peter A.; Zhang, Jishi; Tang, Qi; Cameron-Smith, Philip

doi:https://doi.org/10.5194/gmd-17-7029-2024

Articles | Volume 17, issue 18

https://doi.org/10.5194/gmd-17-7029-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-17-7029-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 18

Model evaluation paper

|

19 Sep 2024

Model evaluation paper |

| 19 Sep 2024

Atmospheric-river-induced precipitation in California as simulated by the regionally refined Simple Convective Resolving E3SM Atmosphere Model (SCREAM) Version 0

Peter A. Bogenschutz, Jishi Zhang, Qi Tang, and Philip Cameron-Smith

Data sets

Code and Data for Atmospheric River Induced Precipitation in California as Simulated by the Regionally Refined Simple Convective Resolving E3SM Atmosphere Model Version 0 P. Bogenschutz https://doi.org/10.5281/zenodo.10836035

Daily 4 km Gridded SWE and Snow Depth from Assimilated In-Situ and Modeled Data over the Conterminous US, Version 1 P. Broxton et al. https://doi.org/10.5067/0GGPB220EX6A

ERA5 hourly data on single levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.adbb2d47

Short summary

Using high-resolution and state-of-the-art modeling techniques we simulate five atmospheric river events for California to test the capability to represent precipitation for these events. We find that our model is able to capture the distribution of precipitation very well but suffers from overestimating the precipitation amounts over high elevation. Increasing the resolution further has no impact on reducing this bias, while increasing the domain size does have modest impacts.