Abstract

NASA Langley Research Center; Rajendra Bhatt, Arun Gopalan, Conor Haney, Benjamin Scarino – Science Systems and Applications, Inc. (SSAI)

ABSTRACT: The ISCCP project provides a 40-year geostationary (GEO) imager record of 3-hourly cloud properties and surface reflectances. ISCCP coordinated the ingestion of 3-hourly geostationary imager pixel level radiances, placing them in a common format across GEO imagers and archiving the datasets for future reprocessing efforts. The ISCCP project is currently is trying to faithfully reproduce the historical DX results in the new processing environment. Once this has been achieved, new calibration coefficients and cloud retrieval algorithms can be processed and compared to the original algorithms and validated for stability across the record.

CERES is currently releasing their Edition4 data products, where the GEO imager calibration, has been referenced to the Aqua-MODIS band 1 Collection 6 calibration (https://www-pm.larc.nasa.gov/cgi-bin/site/showdoc?mnemonic=CALIB-ED4). The same calibration approach was applied to the 40-year AVHRR visible imagers record (https://www-pm.larc.nasa.gov/cgi-bin/site/showdoc?mnemonic=SATCALIB2&c=home). The pre-2000 GEO imager calibration strategy relies on deep convective cloud and invariant desert calibration targets, which have been characterized using post-2000 reference GEO imagers based on the Edition 4 calibration. Since the GEO imaging schedules do not change over time, the angular distribution of the targets repeat themselves annually. This approach will provide better stability across sensors, rather than using ray-matched AVHRR/GEO radiance pairs, since the NOAA satellite orbits drift in time, making it difficult discern GEO calibration and NOAA satellite drifts. This provides the ISCCP project another set of calibration coefficients, which are consistent across sensor platforms, in order to retrieve climate quality cloud properties.

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Aug 24th, 5:25 PM

Consistent Pre-2000 GEO Visible Calibration Record Based on Deept Convective Clouds and Desert Targets

NASA Langley Research Center; Rajendra Bhatt, Arun Gopalan, Conor Haney, Benjamin Scarino – Science Systems and Applications, Inc. (SSAI)

ABSTRACT: The ISCCP project provides a 40-year geostationary (GEO) imager record of 3-hourly cloud properties and surface reflectances. ISCCP coordinated the ingestion of 3-hourly geostationary imager pixel level radiances, placing them in a common format across GEO imagers and archiving the datasets for future reprocessing efforts. The ISCCP project is currently is trying to faithfully reproduce the historical DX results in the new processing environment. Once this has been achieved, new calibration coefficients and cloud retrieval algorithms can be processed and compared to the original algorithms and validated for stability across the record.

CERES is currently releasing their Edition4 data products, where the GEO imager calibration, has been referenced to the Aqua-MODIS band 1 Collection 6 calibration (https://www-pm.larc.nasa.gov/cgi-bin/site/showdoc?mnemonic=CALIB-ED4). The same calibration approach was applied to the 40-year AVHRR visible imagers record (https://www-pm.larc.nasa.gov/cgi-bin/site/showdoc?mnemonic=SATCALIB2&c=home). The pre-2000 GEO imager calibration strategy relies on deep convective cloud and invariant desert calibration targets, which have been characterized using post-2000 reference GEO imagers based on the Edition 4 calibration. Since the GEO imaging schedules do not change over time, the angular distribution of the targets repeat themselves annually. This approach will provide better stability across sensors, rather than using ray-matched AVHRR/GEO radiance pairs, since the NOAA satellite orbits drift in time, making it difficult discern GEO calibration and NOAA satellite drifts. This provides the ISCCP project another set of calibration coefficients, which are consistent across sensor platforms, in order to retrieve climate quality cloud properties.