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Snow Depth Retrieval on Arctic Sea Ice From Passive Microwave Radiometers—Improvements and Extensions to Multiyear Ice Using Lower Frequencies
Author(s) -
Rostosky Philip,
Spreen Gunnar,
Farrell Sinead L.,
Frost Torben,
Heygster Georg,
Melsheimer Christian
Publication year - 2018
Publication title -
journal of geophysical research: oceans
Language(s) - English
Resource type - Journals
eISSN - 2169-9291
pISSN - 2169-9275
DOI - 10.1029/2018jc014028
Subject(s) - snow , arctic , environmental science , sea ice , radiometer , remote sensing , arctic ice pack , firn , radiometry , geology , atmospheric sciences , climatology , oceanography , geomorphology
Snow on sea ice influences the Arctic energy and heat budgets and is therefore important for Arctic climate studies. Methods to derive snow depth based on satellite‐borne microwave radiometer observations have existed since the 1990s. However, in the Arctic the most widely used algorithm can only be applied over first‐year ice (FYI) and does not make use of the lower frequencies, which are available since 2002. Here we present three improvements to the current passive microwave snow depth retrieval: (a) We derive new coefficients based on a regression analysis using 5 years of Operation IceBridge airborne snow depth measurements. (b) We extend the algorithm to take advantage of the lower frequency channel at 7 GHz. (c) We consider an extension of the snow depth retrieval to multiyear ice (MYI) during spring. Our results show that the gradient ratio, GR(19/7) is most suited for deriving snow over both Arctic FYI ( R =°− 0.73 ) and MYI ( R = − 0.57 ). An evaluation of the new retrieval with Operation IceBridge snow depth measurements from March and April 2015 shows a good agreement over FYI (difference = −2.1 cm; 93% of the differences below 5 cm). Over MYI the difference is −4.0 cm and 56% of the differences are below 5 cm, that is, the root mean square distance ( RMSD ) is larger over MYI than over FYI. We demonstrate for the first time that spring snow depth measurements can be derived from passive microwave observations over both FYI and MYI.