MODIS Sea-Surface Temperatures for GHRSST- PP Robert H. Evans & Peter J. Minnett Otis Brown, Erica Key, Goshka Szczodrak, Kay Kilpatrick, Warner Baringer, Sue Walsh Rosenstiel School of Marine and Atmospheric Science University of Miami US GHRSST Meeting. November 28, 2005 US GHRSST Meeting. November 28, 2005
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MODIS Sea-Surface Temperatures for GHRSST-PP Robert H. Evans & Peter J. Minnett Otis Brown, Erica Key, Goshka Szczodrak, Kay Kilpatrick, Warner Baringer,
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MODIS Sea-Surface Temperatures for GHRSST-PP
MODIS Sea-Surface Temperatures for GHRSST-PP
Robert H. Evans & Peter J. Minnett
Otis Brown, Erica Key, Goshka Szczodrak,
Kay Kilpatrick, Warner Baringer, Sue Walsh
Rosenstiel School of Marine and Atmospheric Science
University of Miami
Robert H. Evans & Peter J. Minnett
Otis Brown, Erica Key, Goshka Szczodrak,
Kay Kilpatrick, Warner Baringer, Sue Walsh
Rosenstiel School of Marine and Atmospheric Science
University of Miami
US GHRSST Meeting. November 28, 2005US GHRSST Meeting. November 28, 2005
OutlineOutline
• GHRSST MODIS division of effort
• Status of MODIS SST
• MODIS approach to SSES
• Initial observations
– Space and Time resolution of sst analysis fields has important implications for sst retrieval coverage and quality
– High latitude summer bias and standard deviation are likely too large. Available in situ data are sparse
• Conclusions
July, 2005 formation of MODIS SST processing team(JPL, OBPG - GSFC, Miami)
Division of effort:Miami - algorithm development, cal/val, base code development
OBPG (Bryan Franz) integrate code into OBPG processing, process MODIS Terra, Aqua; day, night; global 1km; SST, SST4; transfer files to JPL
JPL PO.DAAC (J. Vazquez, E. Armstrong) - convert OBPG files into L2P, add remaining fields, ice mask, distance to clouds…, transfer files to Monterrey
Real Time MODIS for GHRSSTReal Time MODIS for GHRSST
MODIS Collection 5 changesMODIS Collection 5 changes
Time dependant SST and SST4 algorithm coefficients
Time dependant Mirror side corrections (Terra only)
Improved cloud flagging - use of a more stringent Reynolds test - day 865nm reflectance for clouds & aerosols - night sst, sst4 comparison for clouds & aerosols
Change in map file resolution from SMI power of 2 projections to a true 4km, 36 km and 1 degree and maps to better assist incorporation of MODIS SST data into models.
Aug 03Sep 03Oct 03Nov 03Dec 03Jan 04Feb 04Mar 04Apr 04
May 04Jun 04Jul 04Aug 04Sep 04Oct 04Nov 04Dec 04
-2 -1 01 2
1
-2 -1 01 2
2
newsst4v5final.res
Night TERRA V5.0.0.1 v5 monthly coef sst4 matchups
Terra Collection 4 & 5 Mirror Side 1 & 2 residuals
TERRA MODIS Collection 5 validation Statistics
MODIS Single Sensor Error Statistics Approach Bias and Standard Deviation Hypercube
Hypercube dimensions (partitioning of Match-up database):- Time- quarter of year (4)- Latitude band (5): "60S to 40S" "40S to 20S" "20S to 20N" "20N to 40N" "40N to 60N"
- Sat Zenith angle intervals (4):"0 to 30 deg" "30+ to 40 deg" "40+ to 50 deg" "50+ deg"
-Introduction of SSES hypercube provides insight into bias and standard deviation trends as a function of time, latitude, temperature, satellite zenith angle, brightness temperature difference as a proxy for water vapor and retrieval quality level
-Hypercube developed and tested for Terra, in progress for Aqua
-Base code for SST and SST4 delivered to OBPG
-Delivery of Hypercube code in progress
ENDEND
August 1 2005 Laptev Sea
August 1 2005 Laptev SeaMODIS SST - Reynolds
February 1 May1
October 31August 1
4um SST bias 1 day per calendar quarter
February 1 May1
October 31August 1
4 um SST standard deviation 1 day per calendar quarter
where Tn are brightness temperatures measured in the channels at n m wavelength, Tsfc is a ‘climatological’ estimate of the SST in the area, and θ is the satellite zenith angle. This is based on the Non-Linear SST algorithm. (See Walton, C. C., W. G. Pichel, J. F. Sapper and D. A. May,1998, “The development and operational application of nonlinear algorithms for the measurement of sea surface temperatures with the NOAA polar-orbiting environmental satellites.” Journal of Geophysical Research, 103, 27,999-28,012.)
The night-time algorithm, using two bands in the 4m atmospheric window is: