On the impact of ice emissivity on sea ice temperature retrieval using passive microwave radiance data

B Hwang, David G. Barber

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

This letter examines the performance of two Advanced Microwave Scanning Radiometer-EOS (AMSR-E) ice temperature algorithms over first-year sea ice during the spring transition period where ice concentrations are close to 100%. The results showed, before snow melt, that the old AMSR-E algorithm overestimated the ice temperature by up to 18 K, which is relative to in situ and thermodynamically calculated snow/ice interface temperatures (T si's). An adjustment of vertically polarized ice emissivity of 6.9 GHz [εI(6V)] to 0.98, which was identical to the constant value used in the latest version of the AMSR-E ice temperature algorithm (posted July 2007), demonstrated a significant improvement in ice temperature retrieval. However, after snow melt, the ice temperature retrieval with any constant εI(6V) failed to correctly estimate the ice temperatures due to large variability in the physical properties of snow and, in turn, penetration depth and εI(6V). The results suggest that a local adjustment of εI(6V), which is by incorporating a simple thermodynamic model into the AMSR-E ice temperature algorithm, would be useful in improving the performance of the algorithm.

Original languageEnglish
Article number4510757
Pages (from-to)448-452
Number of pages5
JournalIEEE Geoscience and Remote Sensing Letters
Volume5
Issue number3
DOIs
Publication statusPublished - 7 May 2008
Externally publishedYes

Fingerprint

Sea ice
emissivity
radiance
Ice
sea ice
Microwaves
ice
EOS
Radiometers
Snow
temperature
radiometer
Temperature
snow
Scanning
microwave
melt
Springs (water)
penetration
Physical properties

Cite this

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abstract = "This letter examines the performance of two Advanced Microwave Scanning Radiometer-EOS (AMSR-E) ice temperature algorithms over first-year sea ice during the spring transition period where ice concentrations are close to 100{\%}. The results showed, before snow melt, that the old AMSR-E algorithm overestimated the ice temperature by up to 18 K, which is relative to in situ and thermodynamically calculated snow/ice interface temperatures (T si's). An adjustment of vertically polarized ice emissivity of 6.9 GHz [εI(6V)] to 0.98, which was identical to the constant value used in the latest version of the AMSR-E ice temperature algorithm (posted July 2007), demonstrated a significant improvement in ice temperature retrieval. However, after snow melt, the ice temperature retrieval with any constant εI(6V) failed to correctly estimate the ice temperatures due to large variability in the physical properties of snow and, in turn, penetration depth and εI(6V). The results suggest that a local adjustment of εI(6V), which is by incorporating a simple thermodynamic model into the AMSR-E ice temperature algorithm, would be useful in improving the performance of the algorithm.",
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On the impact of ice emissivity on sea ice temperature retrieval using passive microwave radiance data. / Hwang, B; Barber, David G.

In: IEEE Geoscience and Remote Sensing Letters, Vol. 5, No. 3, 4510757, 07.05.2008, p. 448-452.

Research output: Contribution to journalArticle

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