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Assessing the impacts of assimilating IASI and MOPITT CO retrievals using CESM-CAM-chem and DART

Journal Article · · Journal of Geophysical Research: Atmospheres
DOI:https://doi.org/10.1002/2015jd023467· OSTI ID:1510739
 [1];  [1];  [2];  [1];  [1];  [1];  [1];  [1];  [1];  [1];  [1];  [3];  [1];  [1];  [4];  [4]
  1. National Center for Atmospheric Research, Boulder, CO (United States)
  2. Univ. of Arizona, Tucson, AZ (United States)
  3. National Centre for Scientific Research (CNRS), Paris (France); Université Libre de Bruxelles (ULB), Brussels (Belgium)
  4. Université Libre de Bruxelles (ULB), Brussels (Belgium)
We report on the results and evaluation with independent measurements from assimilating both MOPITT (Measurements Of Pollution In The Troposphere) and IASI (Infrared Atmospheric Sounding Interferometer) retrieved profiles into the Community Earth System Model (CESM). We used the Data Assimilation Research Testbed ensemble Kalman filter technique, with the full atmospheric chemistry CESM component Community Atmospheric Model with Chemistry. We first discuss the methodology and evaluation of the current data assimilation system with coupled meteorology and chemistry data assimilation. The various capabilities of MOPITT and IASI retrievals are highlighted, with specific attention to instrument vertical sensitivity and coverage and how these impact the analyses. MOPITT and IASI CO retrievals mostly constrain the CO fields close to the main anthropogenic, biogenic, and biomass burning CO sources. In the case of IASI CO assimilation, we also observe constraints on CO far from the sources. During the simulation time period (June and July 2008), CO assimilation of both instruments strongly improves the atmospheric CO state as compared to independent observations, with the higher spatial coverage of IASI providing better results on the global scale. Yet, the enhanced sensitivity of multispectral MOPITT observations to near surface CO over the main source regions provides synergistic effects at regional scales.
Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
NCAR's Computational and Information Systems Laboratory; National Aeronautics and Space Administration (NASA); National Science Foundation (NSF); USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1510739
Journal Information:
Journal of Geophysical Research: Atmospheres, Journal Name: Journal of Geophysical Research: Atmospheres Journal Issue: 19 Vol. 120; ISSN 2169-897X
Publisher:
American Geophysical UnionCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (7)

Toward a chemical reanalysis in a coupled chemistry-climate model: An evaluation of MOPITT CO assimilation and its impact on tropospheric composition: CHEMICAL RESPONSE FROM CO ASSIMILATION journal June 2016
Importance of Bias Correction in Data Assimilation of Multiple Observations Over Eastern China Using WRF‐Chem/DART journal January 2020
Coupled Stratospheric Chemistry–Meteorology Data Assimilation. Part I: Physical Background and Coupled Modeling Aspects journal January 2020
The CAMS reanalysis of atmospheric composition journal January 2019
The CAMS reanalysis of atmospheric composition posted_content November 2018
Validation of MOPITT carbon monoxide using ground-based Fourier transform infrared spectrometer data from NDACC journal January 2017
Validation of MOPITT carbon monoxide using ground-based Fourier transform infrared spectrometer data from NDACC posted_content September 2016

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