Modeling shortwave solar radiation using the JGrass-NewAge system
نویسندگان
چکیده
This paper presents two new modeling components based on the object modeling system v3 (OMS3) for the calculation of the shortwave incident radiation (Rsw ↓) on complex topography settings, and the implementation of several ancillary tools. The first component, NewAGE-SwRB, accounts for elevation slope, aspect, shadow of the sites, and uses suitable parameterization for obtaining the cloudless irradiance. A second component, NewAGE-DEC-MOD’s is implemented to estimate the irradiance reduction due to the presence of clouds according to three parameterizations. To obtain a working modeling composition that is comparable with ground data at measurement stations the two components are connected to a kriging component. With the help of an additional component, NewAGE-V (verification package), the performance of modeled (Rsw ↓) is quantitatively evaluated. The two components (and the various parameterizations they contain) are tested using the data from three basins, and some simple verification tests were carried out to assess the goodness of the methods used. Moreover, a raster mode test is performed in order to show the capability of the system in providing solar radiation raster maps. The components are part of a larger system, JGrass-NewAGE, their input and outputs are geometrical objects immediately displayed in a geographical information system (GIS). They can be used seamlessly with the various modeling solutions available in JGrass-NewAGE for the estimation of long wave radiation, evapotranspiration, and snow melting, as well as standalone components to just estimate shortwave radiation for various uses. The modularity of the approach leads to more accurate physical-statistical studies aimed to assess in depth the components’ performances and extends their results spatially, without the necessity of recoding any part of the component.
منابع مشابه
Testing a new channel routing component in JGrass-NewAge model
The paper presents two applications of the JGrass-NewAge model in order to investigate the influence of an explicit channel routing model on the discharge simulation. The semidistributed, component based hydrological model JGrass-NewAge is based on the Object Modeling System version 3.0 (OMS3). OMS3, which facilitates exchange of model components, was used to set up two different model configur...
متن کاملThe JGrass-NewAge system for managing hydrological budgets
The JGrass-NewAge system for forecasting and managing the hydrological budgets at the basin scale: the models of flow generation, propagation, and aggregation G. Formetta, R. Mantilla, S. Franceschi, A. Antonello, and R. Rigon University of Trento, 77 Mesiano St., Trento, 38123, Italy The University of Iowa, C. Maxwell Stanley Hydraulics Laboratory, Iowa 52242-1585, USA Hydrologis S.r.l., Bolza...
متن کاملObserved Southern Ocean Cloud Properties and Shortwave Reflection. Part I: Calculation of SW Flux from Observed Cloud Properties*
The sensitivity of the reflection of shortwave radiation over the Southern Ocean to the cloud properties there is estimated using observations from a suite of passive and active satellite instruments in combination with radiative transfer modeling. A composite cloud property observational data description is constructed that consistently incorporates mean cloud liquid water content, ice water c...
متن کاملModeling, Optimization and exergoeconomic analysis a multiple energy production system based on solar Energy, Wind Energy and Ocean Thermal Energy Conversion (OTEC) in the onshore region
In the present study, investigated an energy production system using three types of renewable energy: solar, wind and ocean thermal energy with climatic conditions and close to areas with high potential for the OTEC system, Has a good position in terms of wind speed and solar radiation, used them as energy sources. The proposed system is designed and evaluated based on the total daily electrici...
متن کاملEstimating and modeling monthly mean daily global solar radiation on horizontal surfaces using artificial neural networks
In this study, an artificial neural network based model for prediction of solar energy potential in Kerman province in Iran has been developed. Meteorological data of 12 cities for period of 17 years (1997–2013) and solar radiation for five cities around and inside Kerman province from the Iranian Meteorological Office data center were used for the training and testing the network. Meteorologic...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2013