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Comparison of Arctic Sea Ice Thickness from Satellites, Aircraft, and PIOMAS Data
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2016
Source: Remote Sens. 8(9), 1-17
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Journal Title:Remote Sensing
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Personal Author:
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NOAA Program & Office:NESDIS (National Environmental Satellite, Data, and Information Service) ; GOES-R (Geostationary Operation Environmental Satellite-R Series) ; JPSS (Joint Polar Satellite System Program Office) ; STAR (Center for Satellite Applications and Research) ; CIMMS (Cooperative Institute for Mesoscale Meteorological Studies)NESDIS (National Environmental Satellite, Data, and Information Service) ; GOES-R (Geostationary Operation Environmental Satellite-R Series) ; JPSS (Joint Polar Satellite System Program Office) ; STAR (Center for Satellite Applications and Research) ; CIMMS (Cooperative Institute for Mesoscale Meteorological Studies) Less -
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Description:In this study, six Arctic sea ice thickness products are compared: the AVHRR Polar Pathfinder-extended (APP-x), ICESat, CryoSat-2, SMOS, NASA IceBridge aircraft flights, and the Pan-Arctic Ice Ocean Modeling and Assimilation System (PIOMAS). The satellite products are based on three different retrieval methods: an energy budget approach, measurements of ice freeboard, and the relationship between passive microwave brightness temperatures and thin ice thickness. Inter-comparisons are done for the periods of overlap from 2003 to 2013. Results show that ICESat sea ice is thicker than APP-x and PIOMAS overall, particularly along the north coast of Greenland and Canadian Archipelago. The relative differences of APP-x and PIOMAS with ICESat are −0.48 m and −0.31 m, respectively. APP-x underestimates thickness relative to CryoSat-2, with a mean difference of −0.19 m. The biases for APP-x, PIOMAS, and CryoSat-2 relative to IceBridge thicknesses are 0.18 m, 0.18 m, and 0.29 m. The mean difference between SMOS and CryoSat-2 for 0~1 m thick ice is 0.13 m in March and −0.24 m in October. All satellite-retrieved ice thickness products and PIOMAS overestimate the thickness of thin ice (1 m or less) compared to IceBridge for which SMOS has the smallest bias (0.26 m). The spatial correlation between the datasets indicates that APP-x and PIOMAS are the most similar, followed by APP-x and CryoSat-2.
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Source:Remote Sens. 8(9), 1-17
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Rights Information:CC BY
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Compliance:Library
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Main Document Checksum:urn:sha256:ba1a09ba6a64a55fca8f7e2b23e6adfd1122a02dad860b57a56f266c6fb4dd4b
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