@InProceedings{MenezesCoMaOlVaSi:2010:ClInSo,
author = "Menezes, Otac{\'{\i}}lio Leandro and Costa, Alexandre Araujo and
Martins, E P and Oliveira, J L and Vasconcelos J{\'u}nior,
Francisco D and Silveira, Cleiton D",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and
Departamento de F{\'{\i}}sica, UECE, Fortaleza, Brazil and
FUNCEME, Fortaleza, Brazil and FUNCEME, Fortaleza, Brazil and
FUNCEME, Fortaleza, Brazil and FUNCEME, Fortaleza, Brazil",
title = "Climatology of the incoming solar radiation at ground level over
Northeast Brazil using atmospheric model",
booktitle = "Abstracts...",
year = "2010",
organization = "The Meeting of the Americas.",
keywords = "Climatology.",
abstract = "The use of renewable energies, like solar, wind power and biomass
is growing significantly, and solar energy, in particular, is
abundantly available in Northeast Brazil. A precise knowledge of
the incoming solar radiation and its interannual variability is of
great importance for energy planning in Brazil, as it serves as a
basis for the development of projects of photovoltaic power plants
and the use of solar energy through the most diverse technologies.
This work presents a 46-year climatology of surface solar incoming
radiation over Northeast Brazil, based on a 15-member set of
Regional Atmospheric Modeling System (RAMS 6.0) runs forced by
ECHAM 4.5 AMIP boundary conditions. A model output correction
scheme was used to reduce model errors, using data from the
Cear{\'a} State Foundation for Meteorology and Water Resources
(FUNCEME) meteorological stations. RAMS simulations were performed
using a 100x100 grid points with a 30 km horizontal spacing. The
vertical grid has 50 levels with a variable resolution. Radiative
transfer was represented using Chen-Cotton parameterization (1983)
for both shortwave and longwave radiative fluxes. The model
results (including the ensemble mean) shows an overestimation of
the incoming solar radiation, probably because of a poor
representation of the cloud processes at the 30km scale. Bias and
range errors were removed using a simple linear regression for the
period in which observed data are available (August 2004 to
December 2008). The correlation between the corrected modeled
monthly data and the observations is 0.91 (ensemble mean). Model
spread is relatively small, with maximum differences, among
individual members, on the order of 25 W/m^2 for the annual mean.
As expected, the largest amount of incoming solar radiation over
Northeast Brazil occurs in the dry season, especially during the
Southern hemisphere spring.",
conference-location = "Foz do Igua{\c{c}}u, BR",
conference-year = "08-12 aug 2010",
language = "en",
urlaccessdate = "16 jun. 2024"
}