[AAS04-P02] Vertical profile retrieval of greenhouse gases from GOSAT TANSO-FTS SWIR and TIR spectra
Keywords:greenhouse gases, GOSAT, remote sensing
We have developed a greenhouse gas retrieval algorithm which uses SWIR and TIR simultaneously by adding a TIR module to the existing SWIR algorithm of Kikuchi et al. (2016). The algorithm is now evaluated by analyzing GOSAT measurements over Railroad Valley Playa in Nevada during the vicarious calibration campaigns in 2009-2015 for which various validation data are available including the Alpha Jet Atmospheric eXperiment (AJAX) measurements.
Currently, the gas concentrations are retrieved using a small number of vertical layers (2 layers for CO2 and 4 layers for CH4) to reduce the influence of a priori, forward model errors and/or possible L1B spectral biases. An example of the retrieved CO2 profile is shown in Figure 1 together with the a priori profile (a flat profile of 380 ppm) and the AJAX measurement. Figures 2 and 3 show water vapor and temperature profiles, respectively. Also shown in these Figures are the a priori profiles taken from NCEP and in situ measurements by radiosonde. These results demonstrate a synergy effect of SWIR and TIR in retrieving greenhouse gas concentrations.