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CO 2 annual and semiannual cycles from multiple satellite retrievals and models
Author(s) -
Jiang Xun,
Crisp David,
Olsen Edward T.,
Kulawik Susan S.,
Miller Charles E.,
Pagano Thomas S.,
Liang Maochang,
Yung Yuk L.
Publication year - 2016
Publication title -
earth and space science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.843
H-Index - 23
ISSN - 2333-5084
DOI - 10.1002/2014ea000045
Subject(s) - annual cycle , environmental science , satellite , northern hemisphere , troposphere , southern hemisphere , carbon cycle , climatology , atmospheric sciences , middle latitudes , amplitude , water cycle , latitude , atmosphere (unit) , meteorology , geology , geography , ecology , physics , geodesy , quantum mechanics , ecosystem , aerospace engineering , engineering , biology
Satellite CO 2 retrievals from the Greenhouse gases Observing SATellite (GOSAT), Atmospheric Infrared Sounder (AIRS), and Tropospheric Emission Spectrometer (TES) and in situ measurements from the National Oceanic and Atmospheric Administration ‐ Earth System Research Laboratory (NOAA‐ESRL) Surface CO 2 and Total Carbon Column Observing Network (TCCON) are utilized to explore the CO 2 variability at different altitudes. A multiple regression method is used to calculate the CO 2 annual cycle and semiannual cycle amplitudes from different data sets. The CO 2 annual cycle and semiannual cycle amplitudes for GOSAT X CO2 and TCCON X CO2 are consistent but smaller than those seen in the NOAA‐ESRL surface data. The CO 2 annual and semiannual cycles are smallest in the AIRS midtropospheric CO 2 compared with other data sets in the Northern Hemisphere. The amplitudes for the CO 2 annual cycle and semiannual cycle from GOSAT, TES, and AIRS CO 2 are small and comparable to each other in the Southern Hemisphere. Similar regression analysis is applied to the Model for OZone And Related chemical Tracers‐2 and CarbonTracker model CO 2 . The convolved model CO 2 annual cycle and semiannual cycle amplitudes are similar to those from the satellite CO 2 retrievals, although the models tend to underestimate the CO 2 seasonal cycle amplitudes in the Northern Hemisphere midlatitudes and underestimate the CO 2 semiannual cycle amplitudes in the high latitudes. These results can be used to better understand the vertical structures for the CO 2 annual cycle and semiannual cycle and help identify deficiencies in the models, which are very important for the carbon budget study.

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