A software component for estimating solar radiation

GSRad (global solar radiation) is a software component containing models to estimate extra-terrestrial and ground-level solar radiation (global and photosynthetically active; direct, diffuse, and reflected components) from alternative methods. Radiation data are estimated as either 1-h or 24-h values. Moreover, GSRad provides methods to compute clear sky transmissivity, slope and aspect angles of tilted terrains from a grid of elevation points, and geometric factors to convert radiation estimates from horizontal to non-horizontal surfaces. The component is released as .NET assemblies, allowing the development of clients under Windows operating systems using one of the .NET languages. The component design allows extending the computing capabilities of GSRad without requiring its re-compilation. Examples of clients developed in C# are provided as source code. The component is available for free download, along with an extensive hypertext help. help.

[1]  簡聰富,et al.  物件導向軟體之架構(Object-Oriented Software Construction)探討 , 1989 .

[2]  Andrea Emilio Rizzoli,et al.  SEAMFRAME: a proposal for an integrated modelling framework for agricultural systems , 2004 .

[3]  Gerrit Hoogenboom,et al.  Evaluation of an improved daily solar radiation generator for the southeastern USA , 2005 .

[4]  Gianni Bellocchi,et al.  IRENE_DLL: A Class Library for Evaluating Numerical Estimates , 2003 .

[5]  Gianni Bellocchi,et al.  RadEst3.00: software to estimate daily radiation data from commonly available meteorological variables , 2003 .

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

[7]  Claudio O. Stöckle,et al.  ET―CSDLL: A dynamic link library for the computation of reference and crop evapotranspiration , 2003 .

[8]  A. Angstrom Solar and terrestrial radiation. Report to the international commission for solar research on actinometric investigations of solar and atmospheric radiation , 2007 .

[9]  Benjamin Y. H. Liu,et al.  The interrelationship and characteristic distribution of direct, diffuse and total solar radiation , 1960 .

[10]  C. W. Richardson Stochastic simulation of daily precipitation, temperature, and solar radiation , 1981 .

[11]  V. French,et al.  Estimating solar radiation for plant simulation models , 1985 .

[12]  B. D. Hunn,et al.  Solar energy systems design , 1985 .

[13]  Clemens A. Szyperski,et al.  Component software - beyond object-oriented programming , 2002 .

[14]  Brian Keating,et al.  Approaches to modular model development , 2001 .

[15]  John L. Monteith,et al.  Vegetation and the atmosphere , 1975 .

[16]  Robert M. Argent,et al.  Development of Multi-FrameworkModel Components , 2004 .

[17]  J. C. Winslow,et al.  A globally applicable model of daily solar irradiance estimated from air temperature and precipitation data , 2001 .

[18]  S. Running,et al.  An improved algorithm for estimating incident daily solar radiation from measurements of temperature, humidity, and precipitation , 1999 .

[19]  Steven John Metsker Design Patterns in C , 2004 .

[20]  Jing M. Chen,et al.  Daily canopy photosynthesis model through temporal and spatial scaling for remote sensing applications , 1999 .

[21]  L. Ahuja,et al.  Agricultural System Models in Field Research and Technology Transfer , 2002 .

[22]  I. Supit,et al.  A Simple Method to Estimate Global Radiation. , 1998 .

[23]  G. Campbell,et al.  On the relationship between incoming solar radiation and daily maximum and minimum temperature , 1984 .

[24]  Susan J. Riha,et al.  Modelling daily net canopy photosynthesis and its adaptation to irradiance and atmospheric CO2 concentration , 1996 .

[25]  G. Bellocchi,et al.  GSRAD, UN COMPONENTE SOFTWARE PER LA STIMA DELLA RADIAZIONE SOLARE GSRAD, A SOFTWARE COMPONENT TO ESTIMATE SOLAR RADIATION , 2004 .

[26]  Robert M. Argent,et al.  An overview of model integration for environmental applications--components, frameworks and semantics , 2004, Environ. Model. Softw..

[27]  D. Wilks,et al.  The weather generation game: a review of stochastic weather models , 1999 .

[28]  S. J. R. Woodward,et al.  A practical model for predicting soil water deficit in New Zealand pastures , 2001 .