PPT-Considerations for the Physical Inversion of Cloudy Radiometric Satellite Observations

Kevin Garrett 123 Eric Maddy 123 Yongzuo Li 124 and Sid Boukabara 123 1 NOAANESDISSTAR 2 Joint Center for Satellite Data Assimilation 3 Riverside Technology Inc 4 AER Inc. Accurate simulation of physical processes at the atomic & molecular level. “universal fitting formulae” to atomic processes fail when used outside realm of validity, and are not used. Assumptions: . 1. Min-Jeong Kim. JCSDA 9th Workshop on Satellite Data Assimilation, May 24-25, 2011, M-J. Kim. 2. Fuzhong Weng, . 3. Emily Liu, . 4. Will McCarty, . 3. Yanqiu Zhu, . 3. John Derber, and . 3. Andrew Collard. Atmospheric . Corrections. Atmospheric Effects on EMR. Kodiak Island, AK – Volcanic ash and clouds (MODIS image). Learning Objectives. What are the main ways that the atmosphere affects light traveling through it?. Will McCarty. NASA Goddard Space Flight Center. Global Modeling and Assimilation Office. 2015 JCSDA Workshop. 14 May 2015. Introduction. Traditionally, only those infrared radiance observations which are unaffected by clouds are assimilated. Underconstrained. DEM . Analysis. Mark . Weber*. *Harvard. -Smithsonian Center for . Astrophysics. CfA. – Harvard – UCI . AstroStats. Seminar. Cambridge, MA. July . 26, . 2011. AIA Temperature Responses. Will McCarty. GSFC/Global Modeling and Assimilation Office. JCSDA Workshop. 10 October 2012. Introduction. In GMAO forward processing, infrared radiances are assimilated from IASI, . AIRS. , and HIRS. R. Foster, S. Hlaing, A. . Gilerson. , S. Ahmed. Robert Foster, ME, LEED AP. Optical Remote Sensing Laboratory. The City College of New York. CoRP. Science Symposium. September 9-10, 2014. Introduction & Motivation. Jason A. Otkin and Rebecca Cintineo. University of Wisconsin-Madison, CIMSS/SSEC. Africa Perianez, Annika Schomburg. , . Robin Faulwetter, Andreas Rhodin, Hendrik Reich, and Roland Potthast. German Deutscher Wetterdienst. Atmospheric . Corrections. Atmospheric Effects on EMR. Kodiak Island, AK – Volcanic ash and clouds (MODIS image). Learning Objectives. What are the main ways that the atmosphere affects light traveling through it?. in . Air Quality Decision . Models. AQAST Project. Physical Atmosphere Panel Meeting. April 25-26, 2012. Atlanta, GA. Richard . McNider. Arastoo. Pour . Biazar. (or . Arastoo. . McBiazar. ). University of Alabama in Huntsville. Precip. Pete Weston, 3rd Joint JCSDA-ECMWF Workshop on Assimilating Satellite Observations of Clouds and Precipitation into NWP Models. 2nd December 2015. Contents. What we do now. 1D-Var grey cloud analysis. Kevin Garrett. 1,2,3. , Eric Maddy. 1,2,3. , . Yongzuo. Li. 1,2,4. , and Sid Boukabara. 1,2,3. 1. NOAA/NESDIS/STAR. 2. Joint Center for Satellite Data Assimilation. 3.. Riverside Technology, Inc.. 4. AER, Inc.. the Indonesia 2015 peat fire season case study. Antonio G. Bruno. 1,2. , Jeremy J. Harrison. 1,2. , David P. Moore. 1,2. , Martyn P. Chipperfield. 3,4. , and Richard . J. Pope. 3,4. 1. University of Leicester, School of Physics and Astronomy, Leicester, UK (. Background:. In the past two decades, improved measurements of acceleration due to gravity have allowed for accurate detection of temporal gravity change. Terrestrial gravimeters can sense changes of gravity induced by elevation or mass changes, including local effects that may bias regional studies. Satellite instrumentation can detect large scale mass changes on a regular basis. The minimum resolution of the GRACE satellite is about 400 km, which is too large for the size of most, direct regional studies. Also, satellites are limited by their life of deployment. Both techniques can be scaled to (in)validate change models generated from other geophysical observations including water storage (underground and glacial), geoid definition, isostatic adjustments and tectonic activity. .