Melt in Antarctica derived from Soil Moisture and Ocean Salinity (SMOS) observations at L band

<p>Melt occurrence in Antarctica is derived from L-band observations from the Soil Moisture and Ocean Salinity (SMOS) satellite between the austral summer 2010–2011 and 2017–2018. The detection algorithm is adapted from a threshold method previously developed for 19&thinsp;GHz passive micr...

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Bibliographic Details
Main Authors: M. Leduc-Leballeur, G. Picard, G. Macelloni, A. Mialon, Y. H. Kerr
Format: Article
Language:English
Published: Copernicus Publications 2020-02-01
Series:The Cryosphere
Online Access:https://www.the-cryosphere.net/14/539/2020/tc-14-539-2020.pdf
Description
Summary:<p>Melt occurrence in Antarctica is derived from L-band observations from the Soil Moisture and Ocean Salinity (SMOS) satellite between the austral summer 2010–2011 and 2017–2018. The detection algorithm is adapted from a threshold method previously developed for 19&thinsp;GHz passive microwave measurements from the special sensor microwave imager (SSM/I) and special sensor microwave imager sounder (SSMIS). The comparison of daily melt occurrence retrieved from 1.4 and 19&thinsp;GHz observations shows an overall close agreement, but a lag of few days is usually observed by SMOS at the beginning of the melt season. To understand the difference, a theoretical analysis is performed using a microwave emission radiative transfer model. It shows that the sensitivity of 1.4&thinsp;GHz signal to liquid water is significantly weaker than at 19&thinsp;GHz if the water is only present in the uppermost tens of centimetres of the snowpack. Conversely, 1.4&thinsp;GHz measurements are sensitive to water when spread over at least 1&thinsp;m and when present in depths up to hundreds of metres. This is explained by the large penetration depth in dry snow and by the long wavelength (21&thinsp;cm). We conclude that SMOS and higher-frequency radiometers provide interesting complementary information on melt occurrence and on the location of the water in the snowpack.</p>
ISSN:1994-0416
1994-0424