Mapping Freezing and Thawing Surface State Periods With the CYGNSS Based F/T Seasonal Threshold Algorithm

Autor: Hugo Carreno-Luengo, Christopher S. Ruf
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 9943-9952 (2022)
Druh dokumentu: article
ISSN: 2151-1535
DOI: 10.1109/JSTARS.2022.3216463
Popis: Freeze/Thaw (F/T) surface state detection and imaging has been demonstrated as a capability of NASA's Cyclone Global Navigation Satellite System mission. The objective of the research presented here is the application of an existing F/T retrieval algorithm to multiple target areas over several years in order to demonstrate the ability to provide long term trending of F/T behavior. Metrics are developed and evaluated to characterize F/T trends related to global warming. They include the annual fraction of time spent frozen and thawed as a function of location and year, and the earliest fall freeze and earliest spring thaw as a function of location and year. The results demonstrate the capability of Global Navigation Satellite Systems Reflectometry to provide long term trending of F/T behavior relevant to studies of climate change.
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