Articles | Volume 17, issue 2
https://doi.org/10.5194/tc-17-719-2023
https://doi.org/10.5194/tc-17-719-2023
Research article
 | 
13 Feb 2023
Research article |  | 13 Feb 2023

Implementing spatially and temporally varying snow densities into the GlobSnow snow water equivalent retrieval

Pinja Venäläinen, Kari Luojus, Colleen Mortimer, Juha Lemmetyinen, Jouni Pulliainen, Matias Takala, Mikko Moisander, and Lina Zschenderlein

Data sets

GlobSnow v3.0 snow water equivalent (SWE) dataset K. Luojus, J. Pulliainen, M. Takala, J. Lemmetyinen, and M. Moisander https://www.globsnow.info/swe/archive_v3.0/L3A_daily_SWE/

Model code and software

GlobSnow v3.0 snow water equivalent (SWE) source codes K. Luojus, J. Pulliainen, M. Takala, J. Lemmetyinen, and M. Moisander https://www.globsnow.info/swe/archive_v3.0/L3A_daily_SWE/

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Short summary
Snow water equivalent (SWE) is a valuable characteristic of snow cover. In this research, we improve the radiometer-based GlobSnow SWE retrieval methodology by implementing spatially and temporally varying snow densities into the retrieval procedure. In addition to improving the accuracy of SWE retrieval, varying snow densities were found to improve the magnitude and seasonal evolution of the Northern Hemisphere snow mass estimate compared to the baseline product.