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

Susan S. Kulawik, Chris O'Dell, Vivienne H. Payne, Le Kuai, Helen M. Worden, Sebastien C. Biraud, Colm Sweeney, Britton Stephens, Laura T. Iraci, Emma L. Yates, Tomoaki Tanaka

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

We present two new products from near-infrared Greenhouse Gases Observing Satellite (GOSAT) observations: Lowermost tropospheric (LMT, from 0 to 2.5km) and upper tropospheric-stratospheric (U, above 2.5km) 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 0.8ppm for retrieved GOSAT LMT, U, and XCO2; for ocean monthly averages, we find errors of 0.7, 0.5, and 0.5ppm 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.

Original languageEnglish
Pages (from-to)5407-5438
Number of pages32
JournalAtmospheric Chemistry and Physics
Volume17
Issue number8
DOIs
StatePublished - Apr 27 2017
Externally publishedYes

Fingerprint

Dive into the research topics of 'Lower-tropospheric CO2 from near-infrared ACOS-GOSAT observations'. Together they form a unique fingerprint.

Cite this