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Titel |
Modeling shortwave solar radiation using the JGrass-NewAge system |
VerfasserIn |
G. Formetta, R. Rigon, J. L. Chávez, O. David |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1991-959X
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Digitales Dokument |
URL |
Erschienen |
In: Geoscientific Model Development ; 6, no. 4 ; Nr. 6, no. 4 (2013-07-05), S.915-928 |
Datensatznummer |
250017856
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Publikation (Nr.) |
copernicus.org/gmd-6-915-2013.pdf |
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Zusammenfassung |
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. |
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