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

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

doi:https://doi.org/10.5194/tc-17-719-2023

Articles | Volume 17, issue 2

https://doi.org/10.5194/tc-17-719-2023

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

https://doi.org/10.5194/tc-17-719-2023

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

Articles | Volume 17, issue 2

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/

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.