Branch Seminar Series: Toshihisa Matsui

Goddard Earth Sciences and Technology Center, University of Maryland at Baltimore County, Laboratory for Atmospheres, Code613.1, NASA/Goddard Space Flight Center
Variability of cloud-precipitation and aerosol processes affects the earth’s energy and water budgets and, hence, atmospheric circulation. Different aspects of these macro- and micro-physical properties have been observed from a variety of satellite sensors in modern era, including A-train constellation satellites (e.g., Aqua, Aura, CloudSAT, CALIPSO, and PARASOL) as well as other single-platform multi-sensor satellites (e.g., TRMM and Terra). While a combination of multi-sensor satellite observations can provide a more complete view of cloud, precipitation, and aerosols, it is becoming a challenge for model and remote sensing communities to harness multi-sensor satellite observations through a set of the unified physics. A possible solution is to develop and utilize multi-sensor satellite simulators in order to translate the model simulation (geophysical parameter) space into the satellite-observation (radiance) space. To this end, Satellite Data Simulation Unit (SDSU) has been developed through multi-institutional collaborations. The SDSU is the end-to-end satellite simulator unit, which can compute satellite-consistent radiance or backscattering signals from the model-simulated atmosphere profiles and aerosol/condensate particles through passive microwave, radar, passive visible-IR, lidar, broadband, and ISCCP-like simulators. These simulated radiances and backscattering can be directly compared with the high-resolution satellite observations in order i) to establish the satellite radiance-based model evaluation framework, ii) to support satellite radiance-based data assimilation system, and iii) to provide a priori data files for development of multi-sensor satellite retrieval algorithms. In this seminar, I will highlight existing/potential applications of the SDSU related to the activities in the NASA GSFC, and address SDSU development strategy for future satellite missions: Global Precipitation Measurement (GPM), EarthCARE, and Aerosol-Cloud-Ecosystems (ACE) missions.