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Meeting with CIRA Director Dr. Chris Kummerow Activity Report . Tong Zhu a,b and Fuzhong Weng c a CIRA@NOAA /NESDIS/STAR b Joint Center for Satellite Data Assimilation c NOAA /NESDIS/STAR, Camp Springs, MD October 3, 2011. I: Real Time GOES Imager Bias Monitoring System.
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Meeting with CIRA Director Dr. Chris KummerowActivity Report Tong Zhua,b and FuzhongWengc aCIRA@NOAA/NESDIS/STAR bJoint Center for Satellite Data Assimilation cNOAA/NESDIS/STAR, Camp Springs, MD October 3, 2011
II: Radiance Simulation for Joint OSSE Project • NR: ECMWF T511 free run from May 2005 to May 2006 • Develop Critical CRTM components for OSSE • Radiance simulations for operational and future instruments • Validation of simulated radiances ATMS Ch-19 Simulation from OSSE NR ATMS Ch-19 Simulation from GDAS
III: Evaluation of Two New IR Land Surface Emissivity Databases • UW-RTTOV IREmis module • by Eva Borbas and Ben Ruston • 10 hinge points of UW/CIMSS BF global IR land • Eigenfunctionrepresents for the laboratory measurements • From 3.6 to 14.3 µm • 0.10x 0.10 lat/lon. • NASA/LARC IASI Emissivity • – by Dan Zhou et al. • 8461 IASI channels • 645 – 2760 (cm-1) • 0.50 x 0.50 lat/lon • Monthly 07/2007 – 06/2008 • Combined, Daytime, Nighttime UW Emissivity – July SEVIRI Ch7 8.7 µm IASI Emissivity – July SEVIRI Ch7 8.7 µm
Comparison of IASI and UW EmissivityDifference at SEVIRI IR bands for July North Africa Globe Mean Emis Bias & STD
Surface Emissivity Impacts in CRTM • Compare CRTM simulation over land in SEVIRI full disk domain by using IASI, UW-RTTOV emissivity and current CRTM emissivity LUT, • Simulations are improved at 5 surface sensitive channels by using the two new emissivity models, • RTTOV-UW emissivity gives better results at channel 4, 7, and 9, while IASI emissivity shows smaller bias at channel 8 for this one time case study, • Accuracy is not changed at two water vapor channels and CO2 channel.
*GSI latest trunk version in June 2011 (SEVIRI is not used) *GFS, with updated Skin Temp. scheme 1. CTL: March 10 – April 12, 2011, Emis LUT 2. Exp1: March 10 – April 17, 2011, Emis IASI 3. Exp2: March 10 – April 17, 2011, Emis UW-RTTOV IR land surface emissivity impacts Experiments configuration
GFS Anomaly Correlations for 500hPa HGT & T IASI Emis UWIR Emis AC: HGT 1. By using IASI land surface emissivity in GDAS, there is small positive impact on GFS forecast from 4 to 7 days. 2.By using UW-RTTOV IR land surface emissivity, there is neutral to small positive impact on GFS forecast, AC: T
Mean RMSE for Geopotential Height IASI Emis UWIR Emis
Increased assimilation number for all sensors Using IASI emis Using UWIR emis Percentage of increased assimilation number for each sensor: Pinc_num(sensor)=100 x (num_exp - num_ctl)/num_ctl The total assimilated observation numbers for IR sensors are increased, and there very little change for the assimilation number of microwave sensors.