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Geostationary Satellite Retrievals with Irradiances and Cloud Properties / Processed Data

Publicly accessible License 

**Overview**

The Geostationary Operational Environmental Satellite (GOES) records sky brightness temperatures and irradiances at several wavelengths. From these the cloud microphysical and optical properties can be routinely retrieved. These properties are derived using the technique proposed by Minnis et al. 2020, and is similar to the technique used for deriving cloud properties from Moderate Resolution Imaging Spectroradiometer (MODIS) data. The derived GOES properties for the duration of the second Wind Forecasting Improvement Project (WFIP2) within the domain are reported here. Nominally the retrieved dataset has a 30- minute temporal and a 9 km spatial resolution.

Citation Formats

Wind Energy Technologies Office (WETO). (2015). Geostationary Satellite Retrievals with Irradiances and Cloud Properties / Processed Data [data set]. Retrieved from https://dx.doi.org/10.21947/1840535.
Export Citation to RIS
Surleta, Thomas. Geostationary Satellite Retrievals with Irradiances and Cloud Properties / Processed Data. United States: N.p., 14 Apr, 2015. Web. doi: 10.21947/1840535.
Surleta, Thomas. Geostationary Satellite Retrievals with Irradiances and Cloud Properties / Processed Data. United States. https://dx.doi.org/10.21947/1840535
Surleta, Thomas. 2015. "Geostationary Satellite Retrievals with Irradiances and Cloud Properties / Processed Data". United States. https://dx.doi.org/10.21947/1840535. https://a2e.energy.gov/data/wfip2/satellite.z01.a0.
@div{oedi_4585, title = {Geostationary Satellite Retrievals with Irradiances and Cloud Properties / Processed Data}, author = {Surleta, Thomas.}, abstractNote = {**Overview**

The Geostationary Operational Environmental Satellite (GOES) records sky brightness temperatures and irradiances at several wavelengths. From these the cloud microphysical and optical properties can be routinely retrieved. These properties are derived using the technique proposed by Minnis et al. 2020, and is similar to the technique used for deriving cloud properties from Moderate Resolution Imaging Spectroradiometer (MODIS) data. The derived GOES properties for the duration of the second Wind Forecasting Improvement Project (WFIP2) within the domain are reported here. Nominally the retrieved dataset has a 30- minute temporal and a 9 km spatial resolution.}, doi = {10.21947/1840535}, url = {https://a2e.energy.gov/data/wfip2/satellite.z01.a0}, journal = {}, number = , volume = , place = {United States}, year = {2015}, month = {04}}
https://dx.doi.org/10.21947/1840535

Details

Data from Apr 14, 2015

Last updated Jan 17, 2022

Submitted Jan 17, 2022

Organization

Wind Energy Technologies Office (WETO)

Contact

Thomas Surleta

224.545.2536

Authors

Thomas Surleta

Argonne National Laboratory

Research Areas

DOE Project Details

Project Name Wind Data Hub

Project Number 67025

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