CLOUD, AEROSOL AND VOLCANIC ASH RETRIEVALS USING ATSR AND SLSTR WITH ORAC

摘要

The Optimal Retrieval of Aerosol and Cloud (ORAC) is arngeneralized optimal estimation system that retrieves cloud,rnaerosol and volcanic ash parameters using satellite imagerrnmeasurements in the visible to infrared. Use of the samernalgorithm for different sensors and parameters leads tornconsistency that facilitates intercomparison and interactionrnstudies. ORAC currently supports ATSR, AVHRR,rnMODIS and SEVIRI. In this proceeding we discuss thernORAC retrieval algorithm applied to ATSR data includingrnthe retrieval methodology, the forward model, uncertaintyrncharacterization and discrimination/classificationrntechniques. Application of ORAC to SLSTR data is discussedrnincluding the additional features that SLSTR providesrnrelative to the ATSR heritage. The ORAC level 2rnand level 3 results are discussed and an application ofrnlevel 3 results to the study of cloud/aerosol interactions isrnpresented.