Validation of AIRS cloud-cleared radiances using high spectral resolution infrared aircraft observations

Vinson, K.; Revercomb, Henry E.; Knuteson, Robert O.; Tobin, David C.; Dutcher, S.; Best, Fred A.; Lee, Szu-Chia; Fetzer, Eric J.

doi:10.1117/12.578902

Cited by 1 publication

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“…The AIRS data analysis showed that more than 80% of the area of sounding (Western Siberian boreal forests) is covered by continuous or broken clouds; that results in distortion of signals in the CO 2 -channels and makes difficult the satellite monitoring of X CO 2 .Therefore, together with the "cloud free" measurements, it was decided to experimentally use the AIRS measurements reduced to the cloud cleared conditions ("cloud-cleared AIRS level 2 (L2) retrievals" that can be obtained from the web-site http://disc.gsfc.nasa/AIRS/data). The experiments confirmed the possibility to use part of the data said distinguished in the highest quality and reliability ("near cloud free") [20]. should not depend on the AIRS data (at least, the AIRS measurements in the CO 2 -channels should not be when they area determined).…”

Section: Methods Of Airs Data "Inversion"supporting

confidence: 50%

Determination of tropospheric mean carbon dioxide concentration from satellite high spectral resolution IR-sounder data

Kukharskii

Uspenskii

2009

Russ. Meteorol. Hydrol.

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In view of the importance of studying a global carbon cycle and inadequacy of a groundbased network of observations of the atmospheric carbon dioxide (CO 2 ) concentrations and its fluxes, the feasibility of remote sensing of the atmospheric CO 2 concentration obtained from the satellite high-spectral resolution IR-sounder data is studied. In reference to the AIRS infrared-sounder measurements (the EOS Aqua satellite) the satellite data informativeness is analyzed, and a subset of most sensitive channels in respect to the CO 2 concentration variations is selected. A method of retrieving the carbon dioxide concentration X CO 2 averaged over height from the AIRS data (in the middle and upper troposphere) is suggested and tested. The method is based on a numerical solution of an inverse problem. The comparison of satellite estimates of X CO 2 averaged over a month with the aircraft (in situ) data on observations over the areas of boreal forests (the Novosibirsk region) and ecosystems (the region of Surgut) for 10 months of 2003 confirms the possibility to trace a seasonal trend of X CO 2 with an error not worse than 1%.

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Section: Methods Of Airs Data "Inversion"supporting

confidence: 50%