An Overview of Snow Water Equivalent: Methods, Challenges, and Future Outlook

Mercedeh Taheri () and Abdolmajid Mohammadian
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Mercedeh Taheri: Department of Civil Engineering, University of Ottawa, Ottawa, ON K1N 6N5, Canada
Abdolmajid Mohammadian: Department of Civil Engineering, University of Ottawa, Ottawa, ON K1N 6N5, Canada

Sustainability, 2022, vol. 14, issue 18, 1-45

Abstract: The snow depth or snow water equivalent affects water, carbon, and energy cycles as well as surface–atmosphere interactions. Therefore, the global monitoring of spatiotemporal changes in snow water equivalent is a crucial issue, which is performed by characterizing the macrophysical, microstructural, optical, and thermal characteristics of the snowpack. This paper is a review of the retrieval methods of snow water equivalent in three main categories, including in situ measurements, reconstruction approaches, and space-borne measurements, along with their basic concepts, advantages, and uncertainties. Since satellite observations are the most important tool used to detect snow properties, the paper focuses on inversion models and techniques using microwave remote sensing. The inversion models, based on various theoretical foundations, are classified into empirical, statistical, and physical (emission) models, and the techniques are described in four groups: iterative methods, lookup table, machine learning, and data assimilation approaches. At the end, the available global and regional gridded products providing the spatiotemporal maps of snow water equivalent with different resolutions are presented, as well as approaches for improving the snow data.

Keywords: snow water equivalent; in situ measurements; reconstruction; space-borne measurements; microwave; gridded products (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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