Cloud-cover estimation: use of GOES imagery in development of cloud-cover data base for insolation assessment
It is the purpose of this study to verify the potential of using digital satellite data to establish a cloud cover data base for the United States, one that would provide detailed information on the temporal and spatial variability of cloud development. The study involves the use of four sequential days of GOES data (eighty acquisitions) over a predetermined test area, and converts those data into a computer archive of cloud cover, one that is accessible using predetermined grid cells of variable size. Key elements include: (1) interfacing GOES data from the University of Wisconsin Meteorological Data Facility with the Jet Propulsion Laboratory's VICAR image processing system and IBIS geographic information system; (2) creation of a registered multitemporal GOES data base; (3) development of a simple normalization model to compensate for sun angle; (4) creation of a variable size georeference grid that provides detailed cloud information in selected areas and summarized information in other areas; and (5) development of a cloud/shadow model which details the percentage of such grid cell that is cloud and shadow covered, and the percentage of cloud or shadow opacity. In addition, comparison of model calculations of insolation with measured values at selected test sites was accomplished, as well as development of preliminary requirements for a large-scale data base of cloud cover statistics.
- Research Organization:
- California Institute of Technology (CalTech), Pasadena, CA (United States). Jet Propulsion Lab. (JPL)
- DOE Contract Number:
- AI01-76ET20356
- OSTI ID:
- 6534137
- Report Number(s):
- DOE/ET/20356-7; JPL-PUB-82-101; ON: DE83005142
- Resource Relation:
- Other Information: Mf only; illegibility does not permit PC reproduction. Printed copy available until stock is exhausted
- Country of Publication:
- United States
- Language:
- English
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