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Evaluating a Priori Ozone Profile Information Used in TEMPO Tropospheric Ozone RetrievalsOzone (O3) is a greenhouse gas and toxic pollutant which plays a major role in air quality. Typically, monitoring of surface air quality and O3 mixing ratios is primarily conducted using in situ measurement networks. This is partially due to high-quality information related to air quality being limited from space-borne platforms due to coarse spatial resolution, limited temporal frequency, and minimal sensitivity to lower tropospheric and surface-level O3. The Tropospheric Emissions: Monitoring of Pollution (TEMPO) satellite is designed to address these limitations of current space-based platforms and to improve our ability to monitor North American air quality. TEMPO will provide hourly data of total column and vertical profiles of O3 with high spatial resolution to be used as a near-real-time air quality product.TEMPO O3 retrievals will apply the Smithsonian Astrophysical Observatory profile algorithm developed based on work from GOME, GOME-2, and OMI. This algorithm uses a priori O3 profile information from a climatological data-base developed from long-term ozone-sonde measurements (tropopause-based (TB) O3 climatology). It has been shown that satellite O3 retrievals are sensitive to a priori O3 profiles and covariance matrices. During this work we investigate the climatological data to be used in TEMPO algorithms (TB O3) and simulated data from the NASA GMAO Goddard Earth Observing System (GEOS-5) Forward Processing (FP) near-real-time (NRT) model products. These two data products will be evaluated with ground-based lidar data from the Tropospheric Ozone Lidar Network (TOLNet) at various locations of the US. This study evaluates the TB climatology, GEOS-5 climatology, and 3-hourly GEOS-5 data compared to lower tropospheric observations to demonstrate the accuracy of a priori information to potentially be used in TEMPO O3 algorithms. Here we present our initial analysis and the theoretical impact on TEMPO retrievals in the lower troposphere.
Document ID
20170011184
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Johnson, Matthew S. (NASA Ames Research Center Moffett Field, CA, United States)
Sullivan, John (Universities Space Research Association Greenbelt, MD, United States)
Liu, Xiong (Harvard-Smithsonian Center for Astrophysics Cambridge, MA, United States)
Newchurch, Mike (Alabama Univ. Huntsville, AL, United States)
Kuang, Shi (Alabama Univ. Huntsville, AL, United States)
McGee, Thomas (Universities Space Research Association Greenbelt, MD, United States)
Langford, Andrew (National Oceanic and Atmospheric Administration Highlands, NJ, United States)
Senff, Chris (National Oceanic and Atmospheric Administration Highlands, NJ, United States)
Leblanc, Thierry (Jet Propulsion Lab., California Inst. of Tech. Wrightwood, CA, United States)
Berkoff, Timothy (NASA Langley Research Center Hampton, VA, United States)
Gronoff, Guillaume (Science Systems and Applications, Inc. Hampton, VA, United States)
Chen, Gao (NASA Langley Research Center Hampton, VA, United States)
Strawbridge, Kevin (Environment Canada Climate Change Canada (ECCC) Toronto, Ontario, Canada)
Date Acquired
November 21, 2017
Publication Date
December 12, 2016
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
ARC-E-DAA-TN37773
Meeting Information
Meeting: American Geophysical Union (AGU) Fall Meeting
Location: San Francisco, CA
Country: United States
Start Date: December 12, 2016
End Date: December 16, 2016
Sponsors: American Geophysical Union
Funding Number(s)
CONTRACT_GRANT: NNL16AA05C
CONTRACT_GRANT: NNH15CO48B
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
TEMPO
Tropospheric ozone retrievals
Priori Ozone Profile

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