Estimating the Solar Irradiance of an Intermountain Region Using GOES (Geostationary Operational Environmental Satellite) Satellite Data: a Test of Two Statistical Models


Book Description

The performance of two statistical models that use satellite data to calculate the global solar radiation incident upon the earth's surface are assessed. The estimates are determined for a mid latitude ten station network and represent a variety of sky cover conditions. Evaluations of the models for different sky conditions reveal the need for revised regression coefficients for the Hay and Hanson (1978) model and the Tarpley (1979) model. The Hay and Hanson (1978) model was shown to perform better for partly cloudy and overcast sky conditions while the Tarpley (1979) model performed better under clear skies. On a hourly and daily time scale, the Hay and Hanson (1978) model proved to be the better performer.




Scientific and Technical Aerospace Reports


Book Description

Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.













Energy Research Abstracts


Book Description

Includes all works deriving from DOE, other related government-sponsored information and foreign nonnuclear information.




Government Reports Annual Index


Book Description

Sections 1-2. Keyword Index.--Section 3. Personal author index.--Section 4. Corporate author index.-- Section 5. Contract/grant number index, NTIS order/report number index 1-E.--Section 6. NTIS order/report number index F-Z.










Estimating Solar Irradiance Using a Geostationary Satellite


Book Description

A method to estimate global horizontal irradiance (GHI) at the surface using a geostationary satellite is presented. The spatial variation of ground and cloud albedo of California is characterized in the 0.55-0.75 [mu]m wavelength spectral region by analyzing a series of images from the visible channel on the GOES West satellite. Using these two characteristic albedo maps a cloud index is generated for each pixel in subsequent images as an estimate of the cloud fraction in that pixel. The cloud index is converted into a clear sky index which is then coupled with the modeled GHI under a clear sky to generate estimates of the GHI under the current cloud conditions. The model was applied to 914 images over 65 days and validated with ground truth measurements in California. The mean bias difference from 119 stations in the California Irrigation Management Information System was 6.7 W/m2 (3.2%) and the root mean square difference was 78.6 W/m2 (21.9%) which is consistent with previously reported results for satellite algorithms. A Matlab-Java code to execute the model is documented.