Virtual Observation Simulation and OSSE for Evaluation of Observation Performance and Rainfall Prediction Accuracy by Assimilating Small Microwave Satellite Constellation
Small satellite constellation (SSC) technology has been evolving rapidly and a project of SSC which carries passive microwave (PM) sensors for earth observation is now being planned. Toward application of such new technology to hydrometeorology in near future, this study proposes a new validation method of local- and river-basin-scale rainfall prediction performance assimilating virtual but realistic SSC-PM measurements by combining virtual observation simulation and observing system simulation experiment (OSSE). Results of application of the proposed method showed that frequent assimilation of SSC-PM observations has a potential to remarkably improve short-term rainfall prediction. Also, changes in frequency and time step of observations depending on SSC structure have a large impact on rainfall prediction accuracy.