抄録
In order to retrieve land surface temperature (LST) from satellite remote sensing data accurately, the information of atmospheric condition for atmospheric correction, especially atmospheric water vapor content, is absolutely imperative. When hourly LST is retrieved from Multi-functional Transport Satellite (MTSAT) data, the hourly atmospheric water vapor products and those which covers the area correspond with the MTSAT observation area are needed.
In this study, we developed an optimum water vapor product for LST retrieval from MTSAT data. We assessed the accuracy of water vapor products, which are obtained from MTSAT IR data and reanalysis data, and that of LST retrieved from MTSAT data using each water vapor product for atmospheric correction. It was revealed that the reanalysis PW product is better for LST retrieval from MTSAT data, but the accuracy of the PW is reduced in the high altitudes due to the low spatial resolution of the reanalysis products. Therefore, we proposed the method for improving the accuracy of the reanalysis PW product with refinement using both digital elevation model and reanalysis products at each pressure level. The RMSE of LST retrieved from MTSAT data with the refined reanalysis PW product was less than 2.0 K and the spatial distribution of LST can be figured out in more detail using it.
