PPT-MODIS C ollection 6 Ice

M odel A ssessments with POLDER and CALIPSO Ping Yang Souichiro Hioki Jiachen Ding Department of Atmospheric Sciences Texas AampM University In collaboration with Steven . Haixia. Huang, Bo . Zhong. , . Qinhuo. Liu, and Lin Sun. Presented by Bo . Zhong. bzhong1@gmail.com. Institute of Remote Sensing Applications, Chinese Academy of Sciences . IGRSS 2011, Vancouver , . OMI cloud optical depth contributes to the observed positive bias in surface UV. Anders V. . Lindfors, . T. . . Mielonen. , M.R.A. . Pitkänen. , . A. . . Arola. , J. . Tamminen. Finnish Meteorological Institute. Jeff Dozier – UCSB. NASA Snow Remote Sensing Workshop. Boulder, August 2013. Different concepts in different parts of spectrum. Visible, near-infrared, and infrared. Independent scattering. Weak polarization. Zhibo (. zippo. ) Zhang. 03/29/2010. ESSIC. Outline. Background. Importance of ice cloud. Ice particle model and ice cloud retrieval. Influence of ice particle model on . t. retrieval. Comparison of MODIS and POLDER ice . Snowfall, Snow melt and Thermal Belts. Gina Loss – Service Hydrologist. Dave Bernhardt – Science & Operations Officer. Great Falls, Montana. Why MODIS to monitor snow and river ice?. Montana is rural with a low population density. Data. R. Bradley Pierce. Ed . Eloranta. , Dave Turner, . Shobha. . Kondragunta. , . Pubu. . Ciren. , . Istvan. Laszlo, Ralph . Kuehn, Rick Wagener. NOAA GOES-R Air Quality Proving Ground . 3. rd. Chengquan. Huang. 1,2. . Min Feng. 1,2. , . Joseph O. . Sexton. 1,2. , . Raghuram. . Narasimhan. 1,2. , . Saurabh. . Channan. 1,2. , Jeff . Masek. 3. , Eric . Vermote. 2. , . Feng. Gao. 4. , John Townshend. Andrew M. Sayer, N. Christina Hsu, Corey Bettenhausen, Myeong-Jae . Jeong, Jaehwa Lee. MODIS . Red. -. Green. -. Blue. composite. MODIS . Dark. Target . AOD. 0. 0.5. 1.0. 1.5. 2.0. MODIS . Deep. Blue AOD. 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 . 1 MODIS and VIIRS Instrument Status Jack Xiong and Jim Butler Code 618.0, NASA Goddard Space Flight Center, Greenbelt, MD 20771 MODIS and VIIRS Science Team Meeting, Silver Spring, MD (June 06-10, 2016) Eric Vermote. NASA GSFC Code 619. eric.f.vermote@nasa.gov.  .  . . . MODIS/VIIRS Science Team Meeting, June 6-June 10, Silver Spring, MD. A Land Climate Data Record. Multi instrument/Multi sensor Science Quality Data Records used to quantify trends and changes. 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. Collection 6 e-Deep Blue/Dark Target comparison and ‘merged’ aerosol products. 1. Images from NASA Earth Observatory, . http://earthobservatory.nasa.gov/Features/Aerosols/. Deep Blue group: . N. Christina Hsu (PI), . Spectroradiometer. Mean annual evaporation. NASA MODIS satellite. Moderate Resolution Imaging . Spectroradiometer. Average E-P for the oceans. NASA – Aquarius mission. Sea Surface Salinity.