updates on the nasa team 2 sea ice concentration and snow depth algorithms
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Updates on the NASA Team 2 sea ice concentration and snow depth algorithms Thorsten Marks, Don Cavalieri , Al Ivanoff , Ludovic Brucker NASA Goddard Space Flight Center. 1 of 67. - PowerPoint PPT PresentationTRANSCRIPT
Updates on the NASA Team 2 sea ice concentration and snow depth algorithms
Thorsten Marks, Don Cavalieri, Al Ivanoff, Ludovic BruckerNASA Goddard Space Flight Center
1 of 67
The NASA Team 2 approach finds the best solution from a set of pre-calculated sea ice concentration – atmosphere conditions
Sea ice concentration Uncertainty Error because of averaging
= 0 %= 1 - 2 %
>= 3 %
Orbits per day
Monthly distributions of uncertainty versus sea ice concentration
Atmosphere index over uncertainty
Snow depth on sea ice
With Operation IceBridge we, for the first time, have extensive validation data
The IceBridge plane has an FMCW radar that directly measures the snow depth on sea ice
200 AMSR-E pixels that have OIB data
Arctic 2009
MY ice
ocean
2009
2010
2011
2009
2010
2011
Mean (X) Min (X) Max (X) Mean (|X|) N
20090402 3.2 -4 10 4.3 1020090405 -1 -9 35 3.1 12820090425 10.7 -11 28 11.4 60
OIB Flight date
X =SDOIB - SDL3
Mean (X) Min (X) Max (X) Mean (|X|) N
20100323 020100326 5 -14.6 61.4 7.6 4920100402 -0.8 -9.7 27.5 3.6 16120100405 -2.5 -14.7 11.2 7.9 1020100412 -6.3 -21.3 20.7 13.8 1420100419 -1.6 -8.1 3.9 2.6 5820100420 2.2 -5.9 8.1 3.9 1920100421 -3.6 -13.7 5 4 30
OIB Flight date
Mean (X) Min (X) Max (X) Mean (|X|) N
20110316 020110317 020110318 020110322 -4.4 -4.4 -4.4 4.4 120110323 -4.2 -10.8 8 5.3 3020110325 020110326 020110328 -1.5 -15.7 10 5.3 2120110415 0
OIB Flight date
Class Low limit High limit Min (X) Max (X) Mean(X) Mean (|X|) NSD -0.16 0.05 -0.05 0.05 49
> 0.09 -0.21 0.17 0.00 0.04 491> 0.21 -0.18 0.61 0.10 0.14 51
SD var. -0.16 0.02 -0.05 0.06 48> 0.05 -0.21 0.35 0.00 0.04 477> 0.14 -0.16 0.61 0.07 0.10 66
Surf. Roughness -0.15 0.61 0.05 0.08 65> 0.10 -0.21 0.35 0.01 0.05 347> 0.20 -0.18 0.13 -0.02 0.04 58
Ice thickness -0.04 0.28 0.09 0.10 52> 0.45 -0.21 0.61 0.01 0.05 234> 2.7 -0.13 0.13 0.00 0.04 46
AMSR-E SD -0.03 0.35 0.09 0.09 125> 0.10 -0.15 0.61 -0.01 0.04 402> 0.20 -0.21 0.13 -0.06 0.07 64
AMSR-E SIC 0.05 0.29 0.14 0.14 41> 90% -0.21 0.61 -0.01 0.04 550
0.09
0.21
0.05 0.14
0.10 0.20
0.45 2.7
0.10 0.20
90%
Classes per geophysical properties
X =SDOIB - SDL3
ICEX 2011-03-23
16 16
16 16
17
18
18
20
AMSR-E (SD)12.5-km pixel
17
18
20
Repetability of the SD retrievals& Spatial variations (East passes)
0.18 m
1 K →5 cm
SD vs. SD w/ a 1 K TB noise
Difference between IceBridge and AMSR-E snow depth (2009-2011)