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Optimal A-Train Data Utilization: A Use Case of Aura OMI L2G and MERRA-2 Aerosol ProductsOzone Monitoring Instrument (OMI) aboard NASA's Aura mission measures ozone column and profile, aerosols, clouds, surface UV irradiance, and the trace gases including NO2, SO2, HCHO, BrO, and OClO using UltraViolet electromagnetic spectrum (280 - 400 nm) with a daily global coverage and a pixel spatial resolution of 13 km × 24 km at nadir, and it's been one of the key instruments to study the Earth's atmospheric composition and chemistry. The second Modern-Era Retrospective analysis for Research and Applications (MERRA-2) is NASA's atmospheric reanalysis using an upgraded version of Goddard Earth Observing System Model, version 5 (GEOS-5) data assimilation system. Compared to its predecessor MERRA, MERRA-2 is enhanced with more aspects of the Earth system among which is aerosol assimilation. When comparing between satellite pixel measurements and modeled grid data, how to properly handle counterpart pairing is critical considering their spatial and temporal variations. The comparison between satellite and model data by simply using Level 3 (L3) products may result biases due to lack of detailed temporal information. It has been preferred to inter-compare or implement satellite derived physical quantity (i.e., Level 2 (L2) Swath type) directly with/to model measurements with higher temporal and spatial resolution as possible. However, this has posed a challenge in the community to handle. Rather than directly handling the L2 or L3 data, there is a Level 2G (L2G) product conserving L2 pixel scientific data quality but in Grid type with the global coverage. In this presentation, we would like to demonstrate the optimal utilization of OMI L2G daily aerosol products by comparing with MERRA-2 hourly aerosol simulations matched well in both space and time.
Document ID
20170005897
Acquisition Source
Goddard Space Flight Center
Document Type
Presentation
Authors
Zeng, Jian
(Adnet Systems, Inc. Greenbelt, MD, United States)
Shen, Suhung
(George Mason Univ. Fairfax, VA, United States)
Wei, Jennifer
(Adnet Systems, Inc. Greenbelt, MD, United States)
Meyer, David J.
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Date Acquired
June 29, 2017
Publication Date
April 19, 2017
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN42520
Meeting Information
Meeting: International A-Train Symposium
Location: Pasadena, CA
Country: United States
Start Date: April 19, 2017
End Date: April 21, 2017
Sponsors: NASA Headquarters
Funding Number(s)
CONTRACT_GRANT: NNX15AK27A
CONTRACT_GRANT: NNG12PL17C
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
MERRA-2 reanalysis
aerosol products
OMI L2G data
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