Assimilation of satellite observations of long-lived chemical species in global chemistry transport models

摘要: Use of data assimilation techniques such as optimal interpolation or the Kaiman filter in global chemistry transport models (CTM) is becoming more common. However, owing to high computational requirements, it often difficult apply these multidimensional containing extensive photochemical schemes. We present a sequential approach developed for use with general models. It allows fast and mapping satellite observations provides estimates analysis errors. The suggested scheme evolved from one described by Levelt et al. [1998]. variant suboptimal based on ideas Menard [2000] Chang [200O]. One most important features its ability routinely estimate variance predict evolution model. technique (or variants) has been successfully interfaced number different used several types measurements, including aerosol extinction ratios. Some experiments are Lamarque [1999] W. D. Collins (Forecasting aerosols using chemical model retrievals: Methodology INDOEX, submitted Journal Geophysical Research, 2000, hereinafter referred al., manuscript, 2000). illustrate method ozone made Upper Atmosphere Research Satellite/Microwave Limb Sounder three-dimensional ROSE [Research Ozone Stratosphere Evolution; Rose Brasseur, 1989].