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Lower-tropospheric CO2 from near-infrared ACOS-GOSAT observations

Journal Article · · Atmospheric Chemistry and Physics (Online)
 [1];  [2];  [3];  [4];  [5];  [6];  [7];  [7];  [8];  [1];  [8]
  1. Bay Area Environmental Research Inst., Sonoma, CA (United States)
  2. Colorado State Univ., Fort Collins, CO (United States)
  3. California Inst. of Technology (CalTech), Pasadena, CA (United States)
  4. UCLA Joint Inst. for Regional Earth System Science and Engineering (JIFRESSE), Los Angeles, CA (United States)
  5. National Center for Atmospheric Research, Boulder, CO (United States)
  6. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  7. National Oceanic and Atmospheric Administration (NOAA), Boulder, CO (United States)
  8. NASA Ames Research Center (ARC), Moffett Field, Mountain View, CA (United States)
+ Show Author Affiliations
We present two new products from near-infrared Greenhouse Gases Observing Satellite (GOSAT) observations: lowermost tropospheric (LMT, from 0 to 2.5 km) and upper tropospheric–stratospheric (U, above 2.5 km) carbon dioxide partial column mixing ratios. We compare these new products to aircraft profiles and remote surface flask measurements and find that the seasonal and year-to-year variations in the new partial column mixing ratios significantly improve upon the Atmospheric CO2 Observations from Space (ACOS) and GOSAT (ACOS-GOSAT) initial guess and/or a priori, with distinct patterns in the LMT and U seasonal cycles that match validation data. For land monthly averages, we find errors of 1.9, 0.7, and 0.8 ppm for retrieved GOSAT LMT, U, and XCO2; for ocean monthly averages, we find errors of 0.7, 0.5, and 0.5 ppm for retrieved GOSAT LMT, U, and XCO2. In the southern hemispheric biomass burning season, the new partial columns show similar patterns to MODIS fire maps and MOPITT multispectral CO for both vertical levels, despite a flat ACOS-GOSAT prior, and a CO–CO2 emission factor comparable to published values. The difference of LMT and U, useful for evaluation of model transport error, has also been validated with a monthly average error of 0.8 (1.4) ppm for ocean (land). LMT is more locally influenced than U, meaning that local fluxes can now be better separated from CO2 transported from far away.
Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
National Aeronautics and Space Administration (NASA) (United States); USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1379820
Journal Information:
Atmospheric Chemistry and Physics (Online), Journal Name: Atmospheric Chemistry and Physics (Online) Journal Issue: 8 Vol. 17; ISSN 1680-7324
Publisher:
European Geosciences UnionCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (4)

Important evidence of constant low CO2 windows and impacts on the non-closure of the greenhouse effect journal March 2019
A singular value decomposition framework for retrievals with vertical distribution information from greenhouse gas column absorption spectroscopy measurements journal January 2018
Validation of OCO-2 error analysis using simulated retrievals journal January 2019
A Singular Value Decomposition framework for retrievals with vertical distribution information from greenhouse gas column absorption spectroscopy measurements posted_content January 2018

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