An enhancement of the NASA Team sea ice algorithm

By Thorsten Markus, Donald J. Cavalieri. IEEE Transactions on Geoscience and Remote Sensing, 2000

413 citations recorded by the source corpus.

An enhancement of the NASA Team sea ice concentration algorithm overcomes the problem of a low ice concentration bias associated with surface snow effects that are particularly apparent in Southern Ocean sea ice retrievals. The algorithm has the same functional form as the NASA Team algorithm, but uses a wider range of frequencies (19-85 GHz). It accommodates ice temperature variability through the use of radiance ratios as in the original NASA Team algorithm, and has the added advantage of providing weather-corrected sea ice concentrations through the utilization of a forward atmospheric radiative transfer model. Retrievals of sea ice concentration with this new algorithm for both the Arctic and Antarctic do not reveal the deficiencies present in either the NASA Team or Bootstrap algorithms. Furthermore, quantitative comparisons with infrared AVHRR data show that the enhanced algorithm provides more accurate ice concentrations with much less bias than the other two algorithms.

Subfields: Atmospheric Science

View Paper: https://www.semanticscholar.org/paper/5c5815ee30de74bb6cab1cc7bfb5d991b093cb3b

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In Atmospheric Science

1. Josefino C. Comiso
2. Thorsten Markus
3. Donald J. Cavalieri
4. Claire Parkinson

Citations in the corpus

• Sea ice concentration, ice temperature, and snow depth using AMSR-E data (2003, methodology): “Since the publication of the NT2 algorithm [ 20 ], further modifications have been made to account for the presence of thin ice.”