Articles | Volume 15, issue 6
https://doi.org/10.5194/tc-15-2969-2021
https://doi.org/10.5194/tc-15-2969-2021
Research article
 | 
28 Jun 2021
Research article |  | 28 Jun 2021

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

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Cited articles

Armstrong, R. L. and Brodzik, M. J.: Recent northern hemisphere snow extent: A comparison of data derived from visible and microwave satellite sensors, Geophys. Res. Lett., 28, 3673–3676, https://doi.org/10.1029/2000GL012556, 2001. 
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. 
Barry, R. G.: The Role of Snow and Ice in the Global Climate System: A Review, Polar Geogr., 26, 235–246, https://doi.org/10.1080/789610195, 2002. 
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. 
Broxton, P. D., Dawson, N., and Zeng, X.: Linking snowfall and snow accumulation to generate spatial maps of SWE and snow depth, Earth Space Sci. Res., 3, 246–256, https://doi.org/10.1002/2016EA000174, 2016. 
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Short summary
Information about snow water equivalent (SWE) is needed in many applications, including climate model evaluation and forecasting fresh water availability. Space-borne radiometer observations combined with ground snow depth measurements can be used to make global estimates of SWE. In this study, we investigate the possibility of using sparse snow density measurement in satellite-based SWE retrieval and show that using the snow density information in post-processing improves SWE estimations.