IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (Jan 2022)

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

  • Hugo Carreno-Luengo,
  • Christopher S. Ruf

DOI
https://doi.org/10.1109/JSTARS.2022.3216463
Journal volume & issue
Vol. 15
pp. 9943 – 9952

Abstract

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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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