Estimation of maximum possible daily global solar radiation

The estimation of maximum possible daily global solar radiation is important in many applied sciences. This study develops and evaluates climatic extreme based modifications of two single-atmospheric-layer broadband solar shortwave irradiance models for the purpose of estimating a dynamic upper boundary for global solar radiation at any given location. Climatic component models were developed for five rural locations in the central United States: Ames, IA, Bismarck, ND, Columbia, MO, Dodge City, KS, and Wooster, OH. Each site had long-term (30 or 31 years) records of daily global solar radiation data available. Aerosol optical depth, precipitable water, and surface albedo were the input variables. Data for the first two inputs were obtained from the SAMSON database (Solar and Meteorological Observation Network). Albedo interpolating curves were estimated from the predecessor of SAMSON. For each site, precipitable water and aerosol optical depth daily data were used to develop annual trends in the climatic lows and normals for each variable. The normals were based on median daily values. Nonlinear generalized least squares regression analyses were used to develop the interpolating curves. To evaluate the global radiation models, maximum daily global solar radiation values were selected for each day in the year from the entire period of record for each site. In either broadband model, the use of the climatic normals in each input variable either interpolated or underestimated the selected radiometer data. The use of the climatic lows, however, yielded a reasonable upper boundary for the selected data. The result may be partially due to the fact that the climatic minima curves for each turbidity variable were generally significantly different throughout the year from the climatic normals (P < 0.05). The global solar radiation models were most sensitive to aerosol optical depth. Although it is more sensitive to input variation and it is somewhat less conservative, the simpler of the two broadband models is adequate for most applications. While results are site-specific, the methodology is general and provides a climatic-based definition for maximum possible daily global solar radiation. Published by Elsevier Science B.V.

[1]  John R. Hummel,et al.  A Global Surface Albedo Model , 1979 .

[2]  Steven J. Meyer,et al.  Nonfederal Automated Weather Stations and Networks in the United States in the United States and Canada: A Preliminary Survey , 1992 .

[3]  M. A. Atwater,et al.  A numerical solar radiation model based on standard meteorological observations , 1978 .

[4]  R. Bird,et al.  Simplified clear sky model for direct and diffuse insolation on horizontal surfaces , 1981 .

[5]  Intraregional Variations of Solar Radiation in the Eastern United States , 1978 .

[6]  B. Barfield,et al.  Modification of the aerial environment of plants , 1979 .

[7]  William P. Kustas,et al.  Preface [to special section on Monsoon '90 Multidisciplinary Experiment] , 1994 .

[8]  M. A. Atwater,et al.  Comparison of Radiation Computations Using Observed and Estimated Precipitable Water , 1976 .

[9]  A. T. Young,et al.  Revised optical air mass tables and approximation formula. , 1989, Applied optics.

[10]  T. Howell,et al.  Management of Farm Irrigation Systems , 1990 .

[11]  A. Angstroem Solar and terrestrial radiation , 1924 .

[12]  Atmospheric Turbidity at Tucson, Arizona, 1956–83: Variations and Their Causes , 1985 .

[13]  R. Allen,et al.  Evapotranspiration and Irrigation Water Requirements , 1990 .

[14]  Earl E. Reber,et al.  On the Correlation of the Total Precipitable Water in a Vertical Column and Absolute Humidity at the Surface. , 1972 .

[15]  T. Meyers,et al.  Predicting Daily Insolation with Hourly Cloud Height and Coverage , 1983 .

[16]  William L. Bland,et al.  Spatial structure of solar radiation in Wisconsin , 1994 .

[17]  D. Ruppert,et al.  Transformation and Weighting in Regression , 1988 .

[18]  D. F. Heermann,et al.  Empirical estimation of daily clear sky solar radiation , 1985 .

[19]  John E. Hay,et al.  Modelling direct, diffuse, and total solar radiation for cloudless days , 1976 .

[20]  T. Engman Irrigation and Drainage : Saving a Threatened Resource—In Search of Solutions , 1992 .

[21]  Wilfried Brutsaert,et al.  Evaporation into the atmosphere : theory, history, and applications , 1982 .

[22]  S. Grattan,et al.  Estimation of Daytime Net Radiation Over Well‐Watered Grass , 1992 .

[23]  Estimating clear-day solar radiation: An evaluation of three models , 1983 .

[24]  Terry A. Howell,et al.  Automated Weather Data Collection for Research on Irrigation Scheduling , 1984 .

[25]  E. C. Flowers,et al.  Atmospheric Turbidity over the United States, 1961–1966 , 1969 .

[26]  Terry A. Howell,et al.  Relationship of photosynthetically active radiation to shortwave radiation in the San Joaquin Valley , 1983 .

[27]  A. Ågnström SOLAR AND TERRESTRIAL RADIATION.19 , 1924 .

[28]  P. S. Brown,et al.  Numerical Computations of the Latitudinal Variation of Solar Radiation for an Atmosphere of Varying Opacity , 1974 .

[29]  John T. Ball,et al.  A Surface Solar Radiation Model for Cloudy Atmospheres , 1981 .

[30]  A Radiative Cooling Model in the Thermal Infrared for Application to Models of the General Circulation , 1976 .

[31]  David R. Maidment,et al.  Handbook of Hydrology , 1993 .

[32]  Douglas G. Fox,et al.  Judging Air Quality Model Performance , 1981 .

[33]  M. Iqbal An introduction to solar radiation , 1983 .

[34]  Jerry L. Hatfield,et al.  Data quality checking for single station meteorological databases , 1994 .

[35]  Richard L. Snyder,et al.  Evapotranspiration Data Management in California , 1992 .

[36]  D. G. Baker,et al.  Solar radiation reception, probabilities, and areal distribution in the north-central region , 1975 .

[37]  D. Lenschow,et al.  STUDY OF A CONTINENTAL SURFACE ALBEDO ON THE BASIS OF FLIGHT MEASUREMENTS AND STRUCTURE OF THE EARTH'S SURFACE COVER OVER NORTH AMERICA* , 1964 .

[38]  C. Willmott Some Comments on the Evaluation of Model Performance , 1982 .