SINGV – the Convective-Scale Numerical Weather Prediction System for Singapore

SINGV – the Convective-Scale Numerical Weather Prediction System for Singapore

Extreme rainfall is one of the primary meteorological hazards in Singapore, as well as elsewhere in the deep tropics, and it can lead to significant local flooding. Since 2013, the Meteorological Service Singapore (MSS) and the United Kingdom Met Office (UKMO) have been collaborating to develop a co...

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Bibliographic Details
Main Authors: Xiang-Yu Huang, Dale Barker, Stuart Webster, Anurag Dipankar, Adrian Lock, Marion Mittermaier, Xiangming Sun, Rachel North, Rob Darvell, Douglas Boyd, Jeff Lo, Jianyu Liu, Bruce Macpherson, Peter Heng, Adam Maycock, Laura Pitcher, Robert Tubbs, Martin McMillan, Sijin Zhang, Susanna Hagelin, Aurore Porson, Guiting Song, Becky Beckett, Wee Kiong Cheong, Allison Semple, Chris Gordon
Format: Article
Language:English
Published: Universitas Gadjah Mada 2019-12-01
Series:ASEAN Journal on Science and Technology for Development
Subjects:
convective-scale weather modelling
atmospheric data assimilation
ensemble forecasts
numerical weather prediction systems
deep tropics
Online Access:https://ajstd.org/index.php/ajstd/article/view/581

Internet

https://ajstd.org/index.php/ajstd/article/view/581

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