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

Related authors

Impact of dynamic snow density on GlobSnow snow water equivalent retrieval accuracy
Pinja Venäläinen, Kari Luojus, Juha Lemmetyinen, Jouni Pulliainen, Mikko Moisander, and Matias Takala
The Cryosphere, 15, 2969–2981, https://doi.org/10.5194/tc-15-2969-2021,https://doi.org/10.5194/tc-15-2969-2021, 2021
Short summary

Related subject area

Discipline: Snow | Subject: Remote Sensing
Measuring the spatiotemporal variability in snow depth in subarctic environments using UASs – Part 1: Measurements, processing, and accuracy assessment
Anssi Rauhala, Leo-Juhani Meriö, Anton Kuzmin, Pasi Korpelainen, Pertti Ala-aho, Timo Kumpula, Bjørn Kløve, and Hannu Marttila
The Cryosphere, 17, 4343–4362, https://doi.org/10.5194/tc-17-4343-2023,https://doi.org/10.5194/tc-17-4343-2023, 2023
Short summary
Measuring the spatiotemporal variability in snow depth in subarctic environments using UASs – Part 2: Snow processes and snow–canopy interactions
Leo-Juhani Meriö, Anssi Rauhala, Pertti Ala-aho, Anton Kuzmin, Pasi Korpelainen, Timo Kumpula, Bjørn Kløve, and Hannu Marttila
The Cryosphere, 17, 4363–4380, https://doi.org/10.5194/tc-17-4363-2023,https://doi.org/10.5194/tc-17-4363-2023, 2023
Short summary
Evaluating Snow Microwave Radiative Transfer (SMRT) model emissivities with 89 to 243 GHz observations of Arctic tundra snow
Kirsty Wivell, Stuart Fox, Melody Sandells, Chawn Harlow, Richard Essery, and Nick Rutter
The Cryosphere, 17, 4325–4341, https://doi.org/10.5194/tc-17-4325-2023,https://doi.org/10.5194/tc-17-4325-2023, 2023
Short summary
Evaluating the utility of active microwave observations as a snow mission concept using observing system simulation experiments
Eunsang Cho, Carrie M. Vuyovich, Sujay V. Kumar, Melissa L. Wrzesien, and Rhae Sung Kim
The Cryosphere, 17, 3915–3931, https://doi.org/10.5194/tc-17-3915-2023,https://doi.org/10.5194/tc-17-3915-2023, 2023
Short summary
Snow accumulation, albedo and melt patterns following road contruction on permafrost, Inuvik-Tuktoyaktuk Highway, Canada
Jennika Hammar, Inge Grünberg, Steve V. Kokelj, Jurjen van der Sluijs, and Julia Boike
The Cryosphere Discuss., https://doi.org/10.5194/tc-2023-111,https://doi.org/10.5194/tc-2023-111, 2023
Revised manuscript accepted for TC
Short summary

Cited articles

Barnett, T. P., Adam, J. C., and Lettenmaier, D. P.: Potential impacts of a warming climate on water availability in snow-dominated regions, Nature, 438, 303–309, https://doi.org/10.1038/nature04141, 2005. 
Bormann, K. J., Westra, S., Evans, J. P., and McCabe, M. F.: Spatial and temporal variability in seasonal snow density, J. Hydrol., 484, 63–73, https://doi.org/10.1016/j.jhydrol.2013.01.032, 2013. 
Brown, R., Tapsoba, D., and Derksen, C.: Evaluation of snow water equivalent dataset over the Saint-Maurice river basin region of southern Quebec, Hydrol. Process., 32: 2748–2764, https://doi.org/10.1002/hyp.13221, 2018. 
Brown, R., Fang, B., and Mudryk, L.: Update of Canadian Historical Snow Survey Data and Analysis of Snow Water Equivalent Trends, 1967–2016, Atmos.-Ocean, 57, 149–156, https://doi.org/10.1080/07055900.2019.1598843, 2019. 
Bulygina, O. N., Groisman, P. Y., Razuvaev, V. N., and Korshunova, N. N.: Changes in snow cover characteristics over Northern Eurasia since 1966, Environ. Res. Lett., 6, 045204, https://doi.org/10.1088/1748-9326/6/4/045204, 2011. 
Download
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.