How Well Can the Met Office Unified Model Forecast Tropical Cyclones in the Western North Pacific?

Author:

Short Chris J.1,Petch Jon1

Affiliation:

1. Met Office, Exeter, Devon, United Kingdom

Abstract

Abstract Convection-permitting numerical weather prediction models are a key tool for forecasting tropical cyclone (TC) intensities, intensity changes, and precipitation. The Met Office has been routinely running a regional (4.4-km grid spacing), explicit convection version of its Unified Model (UM) over the Philippines since August 2014, driven by its operational global model. The principal aim of this study is to assess the performance of this model relative to the driving global model. By evaluating over a year’s worth of operational TC forecasts, it is shown that the Philippines regional model offers clear benefits for TC forecasting compared with the Met Office global model. In particular, it provides much improved predictions for the intensities of strong storms (category 3 and above) and can successfully capture some rapid intensification (RI) events, whereas the global model cannot predict RI at all. The spatial location of rainfall within intense TCs is also more skillfully predicted by the regional model, and the statistical distribution of rain rates is closer to that observed. Although the regional model adds value, notable biases are also identified, highlighting areas for future work to develop and improve the model.

Funder

Met Office

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference85 articles.

1. Computational design of the basic dynamical processes of the UCLA general circulation model;Arakawa;Methods Comput. Phys.,1977

2. Sensitivity of numerical simulations to parameterizations of roughness for surface heat fluxes at high winds over the sea;Bao;Mon. Wea. Rev.,2002

3. Numerical simulations of tropical cyclone–ocean interaction with a high-resolution coupled model;Bender;J. Geophys. Res.,1993

4. The Joint UK Land Environment Simulator (JULES), model description - Part 1: Energy and water fluxes;Best;Geosci. Model Dev.,2011

5. Dissipative heating and hurricane intensity;Bister;Meteor. Atmos. Phys.,1998

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3