In polar regions, sea ice introduces deviations of scatterometer observations from the empirical wind model, i.e., the Geophysical Model Functions (GMF) that map them to the ocean surface wind fields and sea ice GMFs have been developed to aid in the Bayesian estimation of sea ice presence to discriminate between water and ice. In this research, collocations of C- and Ku-band scatterometer products from ASCAT-A, ASCAT-B and OSCAT-2 are registered with SIC products from AMSR-2 in the Northern hemisphere, and with rain rates from the global precipitation mission (GPM). Then the ice screening ability in the wind QC indicators MLE and J oss are investigated for sea ice identification as an extension to their QC ability of rain in the tropical regions. Finally, simultaneous wind and SIC estimation is discussed.
Xingou Xu, Ad Stoffelen. Sea Ice Screening Ability in Ku-Band and C-Band Wind Scatterometry
Journal: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Year: 2023, doi: 10.1109/IGARSS52108.2023.10283179