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CATS Aerosol Typing and Future Directions
NTRS Full-Text: Click to View  [PDF Size: 21.5 MB]
Author and Affiliation:
McGill, Matt(NASA Goddard Space Flight Center, Greenbelt, MD United States);
Yorks, John(NASA Goddard Space Flight Center, Greenbelt, MD United States);
Scott, Stan(NASA Goddard Space Flight Center, Greenbelt, MD United States);
Palm, Stephen(Science Systems and Applications, Inc., Greenbelt, MD, United States);
Hlavka, Dennis(Science Systems and Applications, Inc., Greenbelt, MD, United States);
Hart, William(Science Systems and Applications, Inc., Greenbelt, MD, United States);
Nowottnick, Ed(Universities Space Research Association, Greenbelt, MD, United States);
Selmer, Patrick(Science Systems and Applications, Inc., Greenbelt, MD, United States);
Kupchock, Andrew(Science Systems and Applications, Inc., Greenbelt, MD, United States);
Midzak, Natalie(Millersville Univ., PA, United States);
Trepte, Chip(NASA Langley Research Center, Hampton, VA, United States);
Vaughan, Mark(NASA Langley Research Center, Hampton, VA, United States);
Colarco, Peter(NASA Goddard Space Flight Center, Greenbelt, MD United States);
da Silva, Arlindo(NASA Goddard Space Flight Center, Greenbelt, MD United States);
et al.
Abstract: The Cloud Aerosol Transport System (CATS), launched in January of 2015, is a lidar remote sensing instrument that will provide range-resolved profile measurements of atmospheric aerosols and clouds from the International Space Station (ISS). CATS is intended to operate on-orbit for at least six months, and up to three years. Status of CATS Level 2 and Plans for the Future:Version. 1. Aerosol Typing (ongoing): Mode 1: L1B data released later this summer; L2 data released shortly after; Identify algorithm biases (ex. striping, FOV (field of view) biases). Mode 2: Processed Released Currently working on correcting algorithm issues. Version 2 Aerosol Typing (Fall, 2016): Implementation of version 1 modifications Integrate GEOS-5 aerosols for typing guidance for non spherical aerosols. Version 3 Aerosol Typing (2017): Implementation of 1-D Var Assimilation into GEOS-5 Dynamic lidar ratio that will evolve in conjunction with simulated aerosol mixtures.
Publication Date: Jul 12, 2016
Document ID:
20170002305
(Acquired Mar 17, 2017)
Subject Category: ENVIRONMENT POLLUTION; EARTH RESOURCES AND REMOTE SENSING
Report/Patent Number: GSFC-E-DAA-TN39988
Document Type: Oral/Visual Presentation
Meeting Information: International Cooperative for Aerosol Prediction (ICAP) 2016 Annual Meeting: Lidar Data and its Use in Model Verification and Data Assimilation ; 12-14 Jul. 2016; College Park, MD; United States
Meeting Sponsor: North Dakota Univ.; Dept. of Atmospheric Sciences, International Cooperative for Aerosol Prediction (ICAP); Grand Forks, ND, United States
National Centers for Environmental Prediction; College Park, MD, United States
Contract/Grant/Task Num: NNG12HP08C; NNG11HP16A
Financial Sponsor: NASA Goddard Space Flight Center; Greenbelt, MD United States
Organization Source: NASA Goddard Space Flight Center; Greenbelt, MD United States
Description: 28p; In English
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: Copyright; Distribution as joint owner in the copyright
NASA Terms: CLOUDS (METEOROLOGY); AEROSOLS; POLLUTION TRANSPORT; OPTICAL RADAR; SORTING ALGORITHMS; SCATTERING FUNCTIONS; DEPOLARIZATION; SMOKE; DUST; INTERNATIONAL SPACE STATION; VOLCANIC ERUPTIONS; ATMOSPHERIC ATTENUATION; REMOTE SENSING; NASA SPACE PROGRAMS
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