April 17, 2009 Snow and Ice Products Status C. Grassotti, C. Kongoli, and S.-A. Boukabara
Jan 30, 2016
April 17, 2009
Snow and Ice Products Status
C. Grassotti, C. Kongoli, and S.-A. Boukabara
April 17, 2009
Geophysical Performance Assessment Tools
• Daily comparisons versus AMSR-E snow and ice products (ice: NASA Team 2, Bootstrap)
• Sorted by sensor, region, asc/des
• Assessment graphics:
o Maps, scatterplots
o Skill scores and statistics time series
o Histograms
• Available on MIRS web site
April 17, 2009
Maps: Sea Ice
MIRS N19 NASA Team 2 (NT2) Bootstrap (BTP)
NT2-BTP MIRS-NT2 MIRS-BTP
2009-04-05
April 17, 2009
Maps/scatterplots: Sea Ice
MIRS N18 NASA Team 2 (NT2) MIRS-NT2
2009-03-30
Including SIC=0:r=0.98stdev=8.6Bias=-0.07
Excluding MIRS SIC=0:r=0.63stdev=7.3Bias=-0.09
April 17, 2009
Maps/scatterplots: Snow Water
MIRS N19 AMSRE
MIRS-AMSRE
2009-04-05
Excl MIRS SWE=0:r=0.32stdev=5.1Bias=1.9
April 17, 2009
Time Series: Sea Ice Global Performance
BIAS STDEV CORR
POD FAR HEIDKE
1 Mar – 12 Apr 2009
n19 bias correction change
n19 bias correction change
April 17, 2009
Time Series: Sea Ice NH/SH Performance
BIAS STDEVPOD
S. Hemisphere
N. Hemisphere
1 Mar – 12 Apr 2009
Improved detection with autumn ice development
BTP-NT2 ~ -0.5 BTP-NT2 ~ 5.0
April 17, 2009
Time Series: SWE N. Hemisphere
BIAS STDEV CORR
POD FAR HEIDKE
1 Mar – 12 Apr 2009
n19 bias correction change
Snowmelt: Metop detection degrades for descending (2130 UTC)
April 17, 2009
Time Series: Snow Water Asc/Des
BIAS CORRPOD
1 Mar – 12 Apr 2009
Descending
Ascending
(ECT: n18=0140, n19=0150,metop=2130,f16=0800)
(ECT: n18=1340, n19=1350,metop=0930,f16=2000)
Snowmelt: n18/n19 detection degrades for ascending (1340 UTC)
Snowmelt: Metop detection degrades for descending (2130 UTC)
April 17, 2009
Histograms: Sea Ice NH 1 Apr 2009
N19 F16
NH
SH
2009-04-01
April 17, 2009
Histograms: Snow Water
N18 N19
2009-04-01
2009-03-01
April 17, 2009
Summary
• Daily assessment of snow and ice products, using AMSR-E as reference: maps, time series of scores/stats, histograms
• Results stratified by region, asc/des, sensor
• Assessment graphics complementary; provide more complete view of performance (e.g. correlations vs. histograms; skill scores for params w/non-gaussian dist)
• Allow better evaluation of impacts due to algorithm updates, calibration and bias correction changes.