Status/Update on MiRS for FY3-MWRI

Tiger Wanchun Kelvin Sid

04/17/2009

Contents

• 1. calibration coefficients in MWRI L1 Tb datasets were updated by using the cross-calibration results with windsat;

• 2. run MiRS to get all of the results by using the new datasets

• 3. progress in IR-MiRS

Bias histogram of mwri-windsat 10-36GHz and mwri-F15-ssmi at 89GHz

Comparison between mwri measurement and model simulation from 10-89GHz

Update to MiRS

• 1.updated the bias correction file and model bias correction data file under semistatic data directory;

• 2.modify the griddata program, discard the ascending / descending node justification in program code;

• 3.all changes has submitted to wanchun and checked in, make sure it is consistant with repository.

Qc fail area

IR hyper-spectrum SVD analysis

• Datasets:• Source: GFS VI~IR spectrum datasets• Spectrum range: 0.40 ~ 14 µm• Spectrum resolution: 0.01µm

• Surface type:• 1: broadleaf evergreen tree (tropical forest)• 2: broadleaf deciduous tree (mid-latitude forest)• 3: broadleaf & needleleaf tree (mixed forest)• 4: needleleaf evergreen tree (high-latitude pine forest)• 5: needleleaf deciduous tree (high-lat pine forest, Siberia only)• 6: broadleaf tree with groundcover (savanna)• 7: groundcover (grassland)• 8: broadleaf shrub with perennial groundcover (desert, dry grassland)• 9: broadleaf shrub with bare soil (desert)• 10: dwarf tree and shrub with groundcover (tundra)• 11: bare soil (desert)• 12: cultivations (agricultural land)• 13: glacial-ice (Greenland/Antarctica ice sheet only)

• Analysis method• 1.SVD (singular value decomposition )• 2.PCs composition test

Comparison of PCs composite spectrum and raw spectrum

Comparison of first 3 PCs

Future work

• Validation of MWRI TPW products by using radio-sonder data (from Raob);

• HIRS simulation by using CRTM under MiRS frame