@Article{PisnichenkoTara:2010:ClVeEt,
author = "Pisnichenko, I. A. and Tarasova, T. A.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE/CPTEC)} and
{Instituto Nacional de Pesquisas Espaciais (INPE/CPTEC)}",
title = "The climate version of the Eta regional forecast model",
journal = "Theoretical and Applied Climatology",
year = "2010",
volume = "99",
number = "3-4",
pages = "255--272",
month = "jan",
keywords = "South America, solar radiation, scheme, performance,
parameterizations, reanalysis.",
abstract = "A new version of ETA WS (workstation) forecast model destined for
long-term climate change simulation (ETA CCS) was designed.
Numerous modifications and corrections have been made in the
original code of the ETA WS forecast model. As a first step in the
ETA CCS validation program, we have integrated the model over
South America with a horizontal resolution of 40 km for the period
1960-1990. We forced it at its lateral boundaries by the outputs
of HadAM3P, which provides a simulation of modern climate with a
resolution of about 150 km. The climate ETA model was run on the
supercomputer SX-6. Here, we present and compare the output fields
of the ETA model and HadAM3P and analyze the geopotential,
temperature, and wind fields of both models. For evaluating the
similarities of the model outputs, we used a Fourier analysis of
time series, the consistency index from linear regression
coefficients, the time mean and space mean models' arithmetic
difference and root mean square difference. The results of the
study demonstrate that there are no significant differences in
behavior and spatial arrangement of large-scale structures of the
two models. In addition, the regional model characteristics do not
have major positive or negative trends during the integration in
relation to the global model. Our analysis shows that the
descriptions of large-scale climate structures by these two models
are consistent. This means that the ETA CCS model can be used for
downscaling HadAM3P output fields. Our proposed technique can be
used to evaluate the consistency of any regional model and its
driving global model.",
doi = "10.1007/s00704-009-0139-4",
url = "http://dx.doi.org/10.1007/s00704-009-0139-4",
issn = "0177-798X",
language = "en",
targetfile = "Tarasova_climate.pdf",
urlaccessdate = "11 maio 2024"
}