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Can I read Evaluation of passive microwave dry snow detection algorithms and application to SWE retrieval during seasonal snow accumulation on EtoBox?
Evaluation of passive microwave dry snow detection algorithms and application to SWE retrieval during seasonal snow accumulation by Lina Zschenderlein; Kari Luojus; Matias Takala; Pinja Venäläinen; Jouni Pulliainen is a Environmental Science article available to read on EtoBox.
What is Evaluation of passive microwave dry snow detection algorithms and application to SWE retrieval during seasonal snow accumulation about?
The microwave emission of snow has distinctive, frequency-dependent characteristics that enable the use of passive microwave remote sensing for the detection of (dry) snow alongside the study of further snow properties. Passive microwave approaches for the retrieval of snow water equivalent (SWE) often implement dry snow detection as one of the main processing steps. Reliable dry snow detection is thus crucial; however, common algorithms tend to underestimate snow cover extent. This study conducts a long-term assessment of six dry snow detection algorithms as part of ongoing GlobSnow SWE product development. We focus on terrestrial snow on the Northern Hemisphere, using exhaustive in situ snow depth measurements and spatially complete snow maps by the NOAA Interactive Multisensor Snow and Ice Mapping System (IMS). In addition to using conventional daily snow masks, cumulative snow masks are investigated as means to counteract underestimation and the results emphasise their potential for this purpose. Best performances are achieved by the cumulative versions of the algorithm of the EUMETSAT H SAF H11 product and of the decision tree by Grody and Basist (1996), which agree with in si
Who reads Evaluation of passive microwave dry snow detection algorithms and application to SWE retrieval during seasonal snow accumulation?
It is typically read by researchers, students, and practitioners in Environmental Science.
- Author
- Lina Zschenderlein; Kari Luojus; Matias Takala; Pinja Venäläinen; Jouni Pulliainen
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Environmental Science (Physical Sciences)