%0 Journal Article
%T Preliminary Model Study for Forecasting a Hot Weather Process in Guangdong Province Using CMA-TRAMS
%A Wenfan Wang
%A Jiemin Zhan
%A Dehui Chen
%A Zitong Chen
%A Yanxia Zhang
%A Qing Fan
%A Guangfeng Dai
%A Yingying Luo
%A Aifen Ye
%J Atmospheric and Climate Sciences
%P 101-117
%@ 2160-0422
%D 2024
%I Scientific Research Publishing
%R 10.4236/acs.2024.141006
%X In this paper, the CMA-TRAMS tropical high-resolution
system was used to forecast a typical hot weather process in Guangdong, China
with different horizontal resolutions and surface coverage. The results of
resolutions of 0.02° and 0.06° were presented with the same surface coverage of
the GlobeLand30 V2020, companies with the results of resolution 0.02° with the
USGS global surface coverage. The results showed that, on the overall
assessment the 2 km model performed better in forecasting 2 m temperature,
while the 6 km model was more accurate in predicting 10 m wind speed. In the
evaluation of representative stations, the 2 km model performed better in
forecasting 2 m temperature and 2 m relative humidity at the coastal stations,
and the 2 km model was also better in forecasting 2 m pressure at the
representative stations. However, the 6 km model performed better in
forecasting 10 m wind speed at the representative stations. Furthermore, the 2
km model, owing to its higher horizontal resolution, presented a more detailed
stratification of various meteorological field maps, allowing for a more
pronounced simulation of local meteorological element variations. And the use
of the surface coverage data of the GlobeLand30 V2020 improved the forecasting
of 2 m temperature, and 10 m wind speed compared to the USGS surface coverage
data.
%K High-Resolution Numerical Model
%K CMA-TRAMS Model
%K Test Evaluation
%K Surface Coverage
%K Numerical Simulation
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=130522