Spatiotemporal snow water storage uncertainty in the midlatitude American Cordillera

Fang, Yiwen; Liu, Yufei; Li, Dongyue; Sun, Haorui; Margulis, Steven A.

doi:https://doi.org/10.5194/tc-17-5175-2023

Articles | Volume 17, issue 12

https://doi.org/10.5194/tc-17-5175-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/tc-17-5175-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 12

Research article

|

07 Dec 2023

Research article |

| 07 Dec 2023

Spatiotemporal snow water storage uncertainty in the midlatitude American Cordillera

Yiwen Fang, Yufei Liu, Dongyue Li, Haorui Sun, and Steven A. Margulis

Supplement

https://doi.org/10.5194/tc-17-5175-2023-supplement

Data sets

Data from: impacts of El Niño and La Niña on interannual snow accumulation in the Andes: results from a high-resolution 31 year reanalysis Steven Margulis and Yiwen Fang https://doi.org/10.5061/dryad.ngf1vhj0s

Western United States UCLA Daily Snow Reanalysis, Version 1 Y. Fang, Y. Liu, and S. A. Margulis https://doi.org/10.5067/PP7T2GBI52I2

Snow Data Assimilation System (SNODAS) Data Products at NSIDC, Version 1 National Operational Hydrologic Remote Sensing Center https://doi.org/10.7265/N5TB14TC

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

ERA5 hourly data on single levels from 1940 to present H. Hersbach, B. Bell, P. Berrisford, G. Biavati, A. Horányi, J. Muñoz Sabater, J. Nicolas, C. Peubey, R. Radu, I. Rozum, D. Schepers, A. Simmons, C. Soci, D. Dee, and J.-N. Thépaut https://doi.org/10.24381/cds.adbb2d47

ERA5-Land hourly data from 1950 to present J. Muñoz Sabater https://doi.org/10.24381/cds.e2161bac

NASA/GSFC/HSL (2020), GLDAS Noah Land Surface Model L4 3 hourly 0.25 x 0.25 degree V2.1 H. Beaudoing and M. Rodell https://doi.org/10.5067/E7TYRXPJKWOQ

NASA/GSFC/HSL (2020), GLDAS Noah Land Surface Model L4 3 hourly 1.0 x 1.0 degree V2.1 H. Beaudoing and M. Rodell https://doi.org/10.5067/IIG8FHR17DA9

NASA/GSFC/HSL (2020), GLDAS VIC Land Surface Model L4 3 hourly 1.0 x 1.0 degree V2.1 H. Beaudoing and M. Rodell https://doi.org/10.5067/ZOG6BCSE26HV

NASA/GSFC/HSL (2020), GLDAS Catchment Land Surface Model L4 3 hourly 1.0 x 1.0 degree V2.1 B. Li, H. Beaudoing, and M. Rodell https://doi.org/10.5067/VCO8OCV72XO0

MERRA-2 tavg1_2d_lnd_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Land Surface Diagnostics V5.12.4 Global Modeling and Assimilation Office (GMAO) https://doi.org/10.5067/RKPHT8KC1Y1T

MERRA-2 tavg1_2d_flx_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Surface Flux Diagnostics V5.12.4 Global Modeling and Assimilation Office (GMAO) https://doi.org/10.5067/7MCPBJ41Y0K6

MERRA-2 tavg1_2d_lfo_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Land Surface Forcings V5.12.4 Global Modeling and Assimilation Office (GMAO) https://doi.org/10.5067/L0T5GEG1NYFA

Short summary

Using newly developed snow reanalysis datasets as references, snow water storage is at high uncertainty among commonly used global products in the Andes and low-resolution products in the western United States, where snow is the key element of water resources. In addition to precipitation, elevation differences and model mechanism variances drive snow uncertainty. This work provides insights for research applying these products and generating future products in areas with limited in situ data.