Cloud remote sensing efforts at AER are directed toward development and implementation of algorithms for analysis of imaging sensor data from environmental satellites in operational and semi-operational processing environments. Research activities include techniques for retrieval of spatial, radiative and microphysical cloud properties from multispectral sensor data. Emphasis is on real data applications of research algorithms in order to validate their broad applicability to existing and planned remote sensing systems capable of providing global and/or regional coverage. To support this work the group jointly operates and maintains a system of direct-broadcast satellite receiving stations with the Air Force Research Laboratory in Bedford, Massachusetts. We also work closely with other groups at AER to develop cross-sensor retrieval techniques (e.g., combined infrared and microwave cloud property retrievals) and exploit extensive atmospheric modeling capabilities for simulation of radiometrically-correct test scene data. Modeled scene data are used for controlled assessment of retrieval algorithm performance and for evaluation of their applicability with planned future satellite observing systems.
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