PPT-Collection 6 update: MODIS ‘Deep Blue’ aerosol
Author : briana-ranney | Published Date : 2018-12-07
Andrew M Sayer N Christina Hsu Corey Bettenhausen MyeongJae Jeong Jaehwa Lee MODIS Red Green Blue composite MODIS Dark Target AOD 0 05 10 15 20 MODIS Deep
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Collection 6 update: MODIS ‘Deep Blue’ aerosol: Transcript
Andrew M Sayer N Christina Hsu Corey Bettenhausen MyeongJae Jeong Jaehwa Lee MODIS Red Green Blue composite MODIS Dark Target AOD 0 05 10 15 20 MODIS Deep Blue AOD. Example from the Saharan Desert.. Deep Blue . Algorithm from this reference.. darkness. Blue sky. Blue sky bright aerosol. Bright aerosol . brighten dark surface. Dark aerosol . darken bright surface. VIIRS Aerosol Cal/Val Team. VIIRS Aerosol Science and Operational Users Workshop November 21-22, 2013. 1. Outline. VIIRS Aerosol Products. Environmental Data Record (EDR). Intermediate Product (IP). C. ollection 6 Ice . M. odel . A. ssessments with POLDER and CALIPSO. Ping Yang, . Souichiro. . Hioki. , . Jiachen. Ding . Department of Atmospheric . Sciences. Texas A&M University. In collaboration with . Robert Levy (SSAI and NASA/GSFC). Shana . Mattoo. (SSAI and NASA/GSFC). Lorraine Remer (GSFC. ). Bill Ridgway (SSAI and NASA/GSFC). Junqiang. Sun (Sigma and NASA/GSFC). Steve . Platnick. (GSFC. ). Jacob Anderson. Mentor: Gregory . Leptoukh. Research Objectives. Based on previous research determine the variables that most affect MODIS bias. Find which MODIS aerosol algorithm works better over coastal regions. Ocean Science Team . Break-out. MODIS Science Team Meeting. 19-22 . May . 2015, Silver Spring, . MD. May . 20. Ocean Break-out Agenda. Ocean Break-out Agenda. May . 21. A.29 . Suomi. National Polar-orbiting . ECNU, China. 3. . June 2011. Part. 3. Kathleen . Strabala. Cooperative Institute for Meteorological Satellite Studies. Space Science and Engineering Center. University of Wisconsin-Madison. MODIS Aerosol Product. Peter Minnett & BOB Evans. Rosenstiel School, University of Miami.. pminnett@rsmas.miami.edu. MODIS Science Team Meeting, April 2014.. Summary. MODIS SSTs are stable and of good accuracy. N. ew . GOES-R Algorithm Working Group Aerosol, Atmospheric Chemistry and Air Quality (AAA) Application Team. 1. Presentations. Suspended Matter/Aerosol Optical Depth Algorithm – . Istvan. Laszlo, STAR. Aerosol Detection Algorithm – . M. odel . A. ssessments with POLDER and CALIPSO. Ping Yang, . Souichiro. . Hioki. , . Jiachen. Ding . Department of Atmospheric . Sciences. Texas A&M University. In collaboration with . Steven . Collection 6 ‘e-Deep Blue’ aerosol products. Andrew M. Sayer, N. Christina Hsu (PI). , Corey Bettenhausen, Nick Carletta, Jaehwa Lee, Colin Seftor, Jeremy Warner. Past team members: Ritesh Gautam, Jingfeng Huang, Myeong-Jae Jeong, Becky Limbacher, Clare Salustro. Dongdong Wang, . Shunlin. Liang. Xueyuan. Gao, Meredith Brown. University of Maryland, College Park. 1. Outline. Background. Status of MCD18 C6 and C61 products. Product assessment. Alternate retrieval algorithms. Toby K. Westberry, Michael J. Behrenfeld . With (lots of) help from. Emmanuel Boss, Allen Milligan, Dave Siegel, Chuck McClain, Bryan Franz, Gene Feldman, Scott Doney, Ivan Lima, Jerry Wiggert, Natalie Mahowald, others. Spectroradiometer. Mean annual evaporation. NASA MODIS satellite. Moderate Resolution Imaging . Spectroradiometer. Average E-P for the oceans. NASA – Aquarius mission. Sea Surface Salinity.
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