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WRF Modelling of Turbulence Triggering Convective Thunderstorms over Singapore

Part of the Notes on Numerical Fluid Mechanics and Multidisciplinary Design book series (NNFM, volume 125)

Abstract

Convective storms represent the main weather threats on Singapore where the amount of water discharged frequently turns into flash floods. Moreover forecasting is a challenging task in this tropical region due to the high instability state of the atmosphere. Therefore Numerical Weather Prediction (NWP) represents an essential tool in flood mitigation. Yet identifying the ideal configuration and parameterization of a NWP model is a milestone to reach accurate forecast. This paper presents the results of a sensitivity analysis of the turbulence and convective schemes of the Weather Research and Forecasting (WRF) model in the framework of Singapore weather forecasting.

Keywords

Numerical Weather Prediction Cumulus Parameterization Convective Storm Convective Rainfall Cumulus Parameterization Scheme 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Singapore Delft Water AllianceNational University of SingaporeSingaporeSingapore
  2. 2.Laboratoire de l’Atmosphre et des CyclonesUMR 8105 Universit de La Runion/Mto-France/CNRSSaint Denis de La RunionFrance

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