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SINGV: A convective‐scale weather forecast model for Singapore
Author(s) -
Dipankar Anurag,
Webster Stuart,
Sun Xiangming,
Sanchez Claudio,
North Rachel,
Furtado Kalli,
Wilkinson Jonathan,
Lock Adrian,
Vosper Simon,
Huang XiangYu,
Barker Dale
Publication year - 2020
Publication title -
quarterly journal of the royal meteorological society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.744
H-Index - 143
eISSN - 1477-870X
pISSN - 0035-9009
DOI - 10.1002/qj.3895
Subject(s) - numerical weather prediction , meteorology , middle latitudes , scale (ratio) , convection , global forecast system , environmental science , north american mesoscale model , climatology , national weather service , weather forecasting , computer science , geography , geology , cartography
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.