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Importance of a Priori Vertical Ozone Profiles for TEMPO Air Quality Retrievals
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Author and Affiliation:
Johnson, Matthew S.(NASA Ames Research Center, Moffett Field, CA, United States)
Sullivan, John(NASA Goddard Space Flight Center, Greenbelt, MD, United States)
Liu, Xiong(Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, United States)
Zoogman, Peter(Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, United States)
Newchurch, Mike(Alabama Univ., Atmospheric Science Dept., Huntsville, AL, United States)
Kuang, Shi(Alabama Univ., Earth System Science Center, Huntsville, AL, United States)
McGee, Thomas(NASA Goddard Space Flight Center, Greenbelt, MD, United States)
Leblanc, Thierry(Jet Propulsion Lab., California Inst. of Tech., Wrightwood, CA, United States)
Abstract: Ozone (O3) is a toxic pollutant which plays a major role in air quality. Typically, monitoring of surface air quality and O3 mixing ratios is 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 the 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 (Global Ozone Monitoring Experiment), GOME-2, and OMI (Ozone Monitoring Instrument). This algorithm is suggested to use a priori O3 profile information from a climatological data-base developed from long-term ozone-sonde measurements (tropopause-based (TB-Clim) O3 climatology). This study evaluates the TB-Clim dataset and model simulated O3 profiles, which could potentially serve as a priori O3 profile information in TEMPO retrievals, from near-real-time data assimilation model products (NASA GMAO's (Global Modeling and Assimilation Office) operational GEOS-5 (Goddard Earth Observing System, Version 5) FP (Forecast Products) model and reanalysis data from MERRA2 (Modern-Era Retrospective analysis for Research and Applications, Version 2)) and a full chemical transport model (CTM), GEOS-Chem. In this study, vertical profile products are evaluated with surface (0-2 kilometers) and tropospheric (0-10 kilometers) TOLNet (Tropospheric Ozone Lidar Network) observations and the theoretical impact of individual a priori profile sources on the accuracy of TEMPO O3 retrievals in the troposphere and at the surface are presented. Results indicate that while the TB-Clim climatological dataset can replicate seasonally-averaged tropospheric O3 profiles, model-simulated profiles from a full CTM resulted in more accurate tropospheric and surface-level O3 retrievals from TEMPO when compared to hourly and daily-averaged TOLNet observations. Furthermore, it is shown that when large surface O3 mixing ratios are observed, TEMPO retrieval values at the surface are most accurate when applying CTM a priori profile information compared to all other data products.
Publication Date: Dec 11, 2017
Document ID:
20170012334
(Acquired Jan 03, 2018)
Subject Category: ENVIRONMENT POLLUTION
Report/Patent Number: ARC-E-DAA-TN46979
Document Type: Conference Paper
Meeting Information: AGU Fall Meeting 2017; 11-15 Dec. 2017; New Orleans, LA; United States
Meeting Sponsor: American Geophysical Union; Washington, DC, United States
Contract/Grant/Task Num: NNN12AA01C; NNX15AT34A
Financial Sponsor: NASA Ames Research Center; Moffett Field, CA, United States
Organization Source: NASA Ames Research Center; Moffett Field, CA, United States
Description: 1p; In English
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: Copyright; Public use permitted
NASA Terms: OZONE; OZONOMETRY; POLLUTION MONITORING; AIR POLLUTION; AIR QUALITY; ATMOSPHERIC COMPOSITION; ATMOSPHERIC MODELS; ENVIRONMENT MODELS; CLIMATE MODELS; DATA BASES; DATA RETRIEVAL; DATA PRODUCTS; DATA CORRELATION; SPATIAL RESOLUTION; TROPOPAUSE; TROPOSPHERE; OZONESONDES; NORTH AMERICA
Other Descriptors: PRIORI; VERTICAL OZONE PROFILES; TEMP
Availability Notes: Abstract Only
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Last Modified: January 03, 2018
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