190 likes | 300 Views
The 10-cm SSM/I and AMSR ice thickness algorithm: what is its value?. Seelye Martin (co-authors: Robert Drucker, Ron Kwok, Ben Holt). Material from http://polar.ocean.washington.edu. Application to polynyas. Polynya cross-section. Northern hemisphere region of interest.
E N D
The 10-cm SSM/I and AMSR ice thickness algorithm: what is its value? Seelye Martin (co-authors: Robert Drucker, Ron Kwok, Ben Holt) Material from http://polar.ocean.washington.edu
The algorithm and its advantages This algorithm depends only on the ratio of the 37V and H channels, R37 = TBV37/TBH37 2. The use of this ratio avoids the problems with the Team and other similar algorithms that also depend on both 18and 37 GHz, yielding a larger resolution, and more problems with land contamination.. 3. Algorithm is validated against AVHRR ice thicknesses. 3. Algorithm gives ice thickness, as opposed to Cavalieri and Markus algorithms, which yield only the thin ice category.
Same algorithm is applied to AMSR data, using simultaneous AMSR/SSM/I comparison to determine the coefficients in the thickness algorithm.
Comparison of AMSR heat fluxes with ScanSAR and with SSM/I; obviously AMSR yields better definition.
SSM/I, AMSR comparison for first 90 days of 2001 Ice production in equivalent thickness (m)
Test of SSM/I algorithm to Ross Sea, Figure shows SSM/I heat flux contours over ScanSAR image
Conclusions 10-cm algorithm is validated against AVHRR, provides good definition of polynyas, and allows calculation of the heat flux; Improved AMSR resolution yields obvious benefits; Tests of applicability come from Chukchi, Ross Sea. Even SSM/I can view small polynyas downwind of icebergs. The success of this simple algorithm bring up the question: what is the purpose of the continued investigation into the properties of such large scale algorithms as the NASA TEAM algorithm, which has been under development since the early 1980’s?