A new algorithm for inverting CO2 assimilation flux

In order to understand the reasons for uncertainty in the regional estimation of carbon balances, the distributions for CO₂ assimilation in the regional scale are very useful. An algorithm for inverting the CO₂ assimilation flux is presented in this paper. The algorithm includes several improvements. First, the temperature difference model is discussed, which is used for separating the ground surface temperature using two time-phase NOAA-AVHRR data and the heat balance and thermal inertia principles instead of the two angular methods. Second an important improvement is the consideration of emissivities and downwelling atmosphere irradiances in the inverting territorial surface temperature for the algorithm.. Third, air temperature is interpolated based on ground surface temperature and wind speed also was interpolated based on surface roughness. Finally, according to the distribution image of CO₂ assimilation for wheat in North China those improvements are validated and discussed