TECHNICAL FEATURES AND PREDICTION PERFORMANCE OF TYPHOON MODEL FOR THE SOUTH CHINA SEA
CHEN Zi-tong
DAI Guang-feng
ZHONG Shui-xin
HUANG Yan-yan
ZHANG Yan-xia
XU Dao-sheng
LI Meng-jie
Abstract:TRAMS (Tropical Region Atmospheric Modeling for South China Sea) is based on GRAPES non-hydrastatic model.In the model a semi-Lagrangian semi-implicit time difference scheme is adopted,and the helmholtz formula is used to obtain the implicit solution.Based on the original version,latest technologies have been brought to the model,including a 3D hydrostatic reference atmosphere,nonlinear terms multi-stage calculation,physical process tendency implicit solution and dynamic process coupling,to form a new calculation scheme for dynamic processes.The physical process mainly includes:long-wave/short-wave radiation,cloud microphysics,turbulence,deep/shallow convection and land surfaces parameterization schemes.Among all of those schemes,updating work focuses on the R&D of sea and land surface parameterization scheme (SMS scheme),the improvement of cumulus parameterization scheme (NSAS scheme) and the introduction of the scheme of parameterization of terrain gravity wave drag (KA95 scheme).The area of the forecast covers 81 ~ 161 °E,0 ~51 °N,while the horizontal resolution is O.18 °,65 levels in the vertical direction and the time step is 100 seconds.A 2015 batch test showed that the TRAMS new version runs stably and reliably with less forecast error,and by a homogeneous comparison with the EC global model,track forecast error of the two models is quite close in shortrange prediction (0 ~24 h),while in longer-range prediction (48 ~72 h) TRAMS dominated the better track forecast performance,It shows that TRAMS has good application value.
Keywords:typhoonnumerical weather predictiontrack error
Publication Date:2016-01-01
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:10( 831-840 )
Journal of Tropical Meteorology

Journal of Tropical Meteorology

PKUISTIC
ISSN:1004-4965
Year, Vol.(Issue):2016,32(6)