Assimilation of All-Weather GMI and ATMS Observations into HWRF

Moradi, Isaac ; Evans, Frank ; McCarty, William ; Marks, Frank

关键词: ASSIMILATION;    BAYES THEOREM;    CLOUD PHYSICS;    MICROWAVE IMAGERY;    MICROWAVE SOUNDING;    MOISTURE CONTENT;    PRECIPITATION (METEOROLOGY);    TEMPERATURE PROFILES;    WATER VAPOR;    HURRICANES;    MONTE CARLO METHOD;    OPERATORS (MATHEMATICS);    VECTOR SPACES;    PRECIPITATION MEASUREMENT;    SIZE DISTRIBUTION;   

RP-ID  :  GSFC-E-DAA-TN51332

美国|英语

来源: NASA Technical Reports Server

【 摘 要 】

We propose a novel Bayesian Monte Carlo Integration (BMCI) technique to retrieve the profiles of temperature, water vapor, and cloud liquid/ice water content from microwave cloudy measurements in the presence of TCs. These retrievals then can either be directly used by meteorologists to analyze the structure of TCs or be assimilated to provide accurate initial conditions for the NWP models. The technique is applied to the data from the Advanced Technology Microwave Sounder (ATMS) onboard Suomi National Polar-orbiting Partnership (NPP) and Global Precipitation Measurement (GPM) Microwave Imager (GMI).