@Article{GomesSBABGSCFHP:2022:WRSeSe,
author = "Gomes, Helber Barros and Silva, Maria Cristina Lemos da and
Barbosa, Henrique de Melo Jorge and Ambrizzi, T{\'e}rcio and
Baltaci, Hakki and Gomes, Heliof{\'a}bio Barros and Silva,
Fabr{\'{\i}}cio Daniel dos Santos and Costa, Rafaela Lisboa and
Figueroa, Silvio Nilo and Herdies, Dirceu Lu{\'{\i}}s and
Pauliquevis J{\'u}nior, Theotonio Mendes",
affiliation = "{Universidade Federal de Alagoas (UFAL)} and {Universidade Federal
de Alagoas (UFAL)} and {Universidade de S{\~a}o Paulo (USP)} and
{Universidade de S{\~a}o Paulo (USP)} and {Gebze Technical
University} and {Universidade Federal de Alagoas (UFAL)} and
{Universidade Federal de Alagoas (UFAL)} and {Universidade Federal
de Alagoas (UFAL)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Universidade Federal de S{\~a}o Paulo (UNIFESP)}",
title = "WRF Sensitivity for Seasonal Climate Simulations of Precipitation
Fields on the CORDEX South America Domain",
journal = "Atmosphere",
year = "2022",
volume = "13",
number = "1",
pages = "e107",
month = "Jan.",
keywords = "Precipitation characteristics, SA-CORDEX, Systematic errors, WRF
model evaluation.",
abstract = "Dynamic numerical models of the atmosphere are the main tools used
for weather and climate forecasting as well as climate
projections. Thus, this work evaluated the systematic errors and
areas with large uncertainties in precipitation over the South
American continent (SAC) based on regional climate simulations
with the weather research and forecasting (WRF) model. Ten
simulations using different convective, radiation, and
microphysical schemes, and an ensemble mean among them, were
performed with a resolution of 50 km, covering the CORDEX-South
America domain. First, the seasonal precipitation variability and
its differences were discussed. Then, its annual cycle was
investigated through nine sub-domains on the SAC (AMZN, AMZS,
NEBN, NEBS, SE, SURU, CHAC, PEQU, and TOTL). The Taylor Diagrams
were used to assess the sensitivity of the model to different
parameterizations and its ability to reproduce the simulated
precipitation patterns. The results showed that the WRF
simulations were better than the ERA-interim (ERAI) reanalysis
when compared to the TRMM, showing the added value of dynamic
downscaling. For all sub-domains the best result was obtained with
the ensemble compared to the satellite TRMM. The largest errors
were observed in the SURU and CHAC regions, and with the greatest
dispersion of members during the rainy season. On the other hand,
the best results were found in the AMZS, NEBS, and TOTL regions.",
doi = "10.3390/atmos13010107",
url = "http://dx.doi.org/10.3390/atmos13010107",
issn = "2073-4433",
language = "en",
targetfile = "atmosphere-13-00107-v2.pdf",
urlaccessdate = "27 jun. 2024"
}