A Prediction Method for the Global Distribution of CO2 Concentration from Irregularly Observed Locations

I propose a method to predict a global distribution of trace gas amount using trace gas amounts at irregularly observed location by means satellite remote sensing. Global prediction is conducted from large data set (-10,000) and is considered the difference in the spatial structure of trace gas amount derived from the land cover variation under the observed atmosphere.