GOES-R PLT Geostationary Coastal and Air Pollution Event (GEO-CAPE) Airborne Simulator (GCAS) V1

Description

The GOES-R PLT Geostationary Coastal and Air Pollution Event (GEO-CAPE) Airborne Simulator (GCAS) dataset consist of solar backscattered radiation measured by the Geostationary Coastal and Air Pollution Event (GEO-CAPE) Airborne Simulator (GCAS) flown aboard a NASA ER-2 high-altitude aircraft during the GOES-R Post Launch Test (PLT) field campaign. The GOES-R PLT field campaign took place from March to May of 2017 in support of post-launch L1B product validation of the Advanced Baseline Image (ABI) and the Geostationary Lightning Mapper (GLM). Data files in HDF-5 format are available for March 21, 2017 through May 14, 2017.

Resources

Name Format Description Link
View information related to this dataset HTML GOES-R PLT Field Campaign Collection DOI Open resource
View this dataset's publications HTML High-resolution NO2 observations from the Airborne Compact Atmospheric Mapper: Retrieval and validation Open resource
View this dataset's publications HTML Diurnal changes of remote sensing reflectance over Chesapeake Bay: Observations from the Airborne Compact Atmospheric Mapper Open resource
View this dataset's publications HTML Atmospheric Correction of Hyperspectral GCAS Airborne Measurements Over the North Atlantic Ocean and Louisiana Shelf Open resource
View this dataset's publications HTML Nitrogen dioxide observations from the Geostationary Trace gas and Aerosol Sensor Optimization (GeoTASO) airborne instrument: Retrieval algorithm and measurements during DISCOVER-AQ Texas 2013 Open resource
View documentation related to this dataset HTML Instructions for citing GHRC data Open resource
View a micro article on this dataset HTML GOES-R Post Launch Test (PLT) Field Campaign Micro Article Open resource
View documentation related to this dataset PDF The guide document contains detailed information about the dataset Open resource
Google Scholar search results HTML Search results for publications that cite this dataset by its DOI. Open resource
Download this dataset HTML Files may be downloaded directly to your workstation from this link Open resource

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