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Integration of satellite and ground station data through a data fusion approach: the global solar radiation case study

Abstract

Estimation of horizontal global solar radiation for any desidered location is a problem which should be solved on the basis of a process of integrating information involving different types of data: satellite and ground-based measurements. We experimented a new approach for which we used tools and methods pertaining to geostatistics. Geostatistics can be defined as a set of statistical tools applicable to the study of phenomena spread in space/time and finalized to translate the user`s knowledge into formulae. The basic idea is to consider the spatial continuity of the data, to model it and to use it in forecasting events. The implications are that geostatistics provides tools for the interpretation and modelling of spatial phenomena and that it allows the user to make decisions consistent with the data because it does not replace expert decisions. The underlaying idea of our approach to the estimation of global solar radiation on a horizontal surface, is that of using the geostatistical method as a data fusion technique, thereby showing the effectiveness of the approach. (author) 4 figs., 2 tabs., 11 refs.
Authors:
D`Agostino, V; Longuercio Polosa, R; [1]  Zelenka, A [2] 
  1. Tecnopolis CSATA Novus Ortus, Valenzano/Bari (IT)
  2. Swiss Meteorological Inst., Zurich (Switzerland)
Publication Date:
Dec 31, 1990
Product Type:
Technical Report
Report Number:
ENET-8900062/5
Reference Number:
SCA: 140100; PA: CH-92:000024; SN: 92000694713
Resource Relation:
Other Information: PBD: 1990
Subject:
14 SOLAR ENERGY; SOLAR RADIATION; MATHEMATICAL MODELS; MEASURING METHODS; SATELLITES; GREENHOUSE EFFECT; EARTH ATMOSPHERE; STATISTICS; CORRELATIONS; VALIDATION; DATA; NUMERICAL DATA; 140100; RESOURCES AND AVAILABILITY
OSTI ID:
10131561
Research Organizations:
Bundesamt fuer Energiewirtschaft, Bern (Switzerland)
Country of Origin:
Switzerland
Language:
English
Other Identifying Numbers:
Other: ON: DE92789856; TRN: CH9200024
Availability:
OSTI; Available from URL http://www.bfe.admin.ch/dokumentation/energieforschung/index.html?lang=en. Enter author’s name or original publication title, or use the Text-Search option
Submitting Site:
CH
Size:
12 p.
Announcement Date:
Apr 16, 1992

Citation Formats

D`Agostino, V, Longuercio Polosa, R, and Zelenka, A. Integration of satellite and ground station data through a data fusion approach: the global solar radiation case study. Switzerland: N. p., 1990. Web.
D`Agostino, V, Longuercio Polosa, R, & Zelenka, A. Integration of satellite and ground station data through a data fusion approach: the global solar radiation case study. Switzerland.
D`Agostino, V, Longuercio Polosa, R, and Zelenka, A. 1990. "Integration of satellite and ground station data through a data fusion approach: the global solar radiation case study." Switzerland.
@misc{etde_10131561,
title = {Integration of satellite and ground station data through a data fusion approach: the global solar radiation case study}
author = {D`Agostino, V, Longuercio Polosa, R, and Zelenka, A}
abstractNote = {Estimation of horizontal global solar radiation for any desidered location is a problem which should be solved on the basis of a process of integrating information involving different types of data: satellite and ground-based measurements. We experimented a new approach for which we used tools and methods pertaining to geostatistics. Geostatistics can be defined as a set of statistical tools applicable to the study of phenomena spread in space/time and finalized to translate the user`s knowledge into formulae. The basic idea is to consider the spatial continuity of the data, to model it and to use it in forecasting events. The implications are that geostatistics provides tools for the interpretation and modelling of spatial phenomena and that it allows the user to make decisions consistent with the data because it does not replace expert decisions. The underlaying idea of our approach to the estimation of global solar radiation on a horizontal surface, is that of using the geostatistical method as a data fusion technique, thereby showing the effectiveness of the approach. (author) 4 figs., 2 tabs., 11 refs.}
place = {Switzerland}
year = {1990}
month = {Dec}
}