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SINGV: A convective‐scale weather forecast model for Singapore
Quarterly Journal of the Royal Meteorological Society ( IF 3.0 ) Pub Date : 2020-08-24 , DOI: 10.1002/qj.3895 Anurag Dipankar 1 , Stuart Webster 2 , Xiangming Sun 1 , Claudio Sanchez 2 , Rachel North 2 , Kalli Furtado 2 , Jonathan Wilkinson 2 , Adrian Lock 2 , Simon Vosper 2 , Xiang‐Yu Huang 1 , Dale Barker 2
Quarterly Journal of the Royal Meteorological Society ( IF 3.0 ) Pub Date : 2020-08-24 , DOI: 10.1002/qj.3895 Anurag Dipankar 1 , Stuart Webster 2 , Xiangming Sun 1 , Claudio Sanchez 2 , Rachel North 2 , Kalli Furtado 2 , Jonathan Wilkinson 2 , Adrian Lock 2 , Simon Vosper 2 , Xiang‐Yu Huang 1 , Dale Barker 2
Affiliation
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Numerical weather prediction (NWP) capabilities in the Maritime Continent are not as developed as in the midlatitudes. Countries in the region do not develop their own modelling systems; rather they adapt models primarily developed for the midlatitudes. Due to the complexity of processes involved in the region, this adaptation is non‐trivial. In this article the developments made by the Meteorological Service Singapore (MSS) and the United Kingdom Met Office (UKMO) to implement a convective‐scale NWP system for short‐range weather prediction for Singapore and the surrounding regions are presented. In particular, this article describes the changes to the initial model configuration, which was based on the UKMO's convective‐scale NWP system (the UKV), to produce operational forecasts over this region. Results presented here demonstrate the benefit of convection‐permitting simulations over convection parametrized simulations and show that the model performance is greatly affected by the choice of driving model, the cloud scheme, and the turbulence scheme.
中文翻译：
SINGV：新加坡的对流尺度天气预报模型
海事大陆的数字天气预报（NWP）功能不如中纬度地区发达。该区域各国未开发自己的建模系统；相反，他们采用了主要为中纬度开发的模型。由于该地区涉及的流程非常复杂，因此这种适应并非易事。本文介绍了新加坡气象服务局（MSS）和英国气象局（UKMO）为实施对流规模NWP系统在新加坡及周边地区进行短时天气预报的进展。特别是，本文介绍了对初始模型配置的更改，该更改基于UKMO的对流规模NWP系统（UKV），以生成该区域的运营预测。
更新日期：2020-08-24
中文翻译：
SINGV：新加坡的对流尺度天气预报模型
海事大陆的数字天气预报（NWP）功能不如中纬度地区发达。该区域各国未开发自己的建模系统；相反，他们采用了主要为中纬度开发的模型。由于该地区涉及的流程非常复杂，因此这种适应并非易事。本文介绍了新加坡气象服务局（MSS）和英国气象局（UKMO）为实施对流规模NWP系统在新加坡及周边地区进行短时天气预报的进展。特别是，本文介绍了对初始模型配置的更改，该更改基于UKMO的对流规模NWP系统（UKV），以生成该区域的运营预测。
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