To make accurate forecasts, Pei Yi carefully studies a wide range of weather data, gathered from on-ground observation stations and meteorological observation systems like radars that scan the skies. She also relies on numerical weather prediction models to guide her forecasting.
During her ground observations, which she does to complement the various meteorological data, Pei Yi looks out for cumulonimbus clouds – dense, low clouds as tall as 15km, with water droplets frozen into ice at the top. If you see them, brace yourself. They are an ominous sign of impending thunderstorms.
The Impact of Weather Forecasting
Predicting thunderstorms is a crucial part of her work, as they affect critical sectors like aviation, construction and maritime. Thunderstorms can cause low visibility, strong winds, lightning risks and other conditions that affect operations.
In aviation, thunderstorms may require air traffic controllers to redirect flights for safety. Operators subscribe to weather forecasts, which are issued throughout the day, to schedule their flights effectively.
Pei Yi and her colleagues also issue weather warnings – typically within 15 minutes in advance – so that air traffic controllers can respond swiftly.
“[In Singapore,] thunderstorms typically develop, intensify and dissipate relatively quickly”, says Pei Yi. The dynamic nature of weather systems in the tropics is one challenge of predicting the weather here.
Although advances in numerical weather prediction models have led to improved forecasts, these models do not simulate tropical weather systems as well as they do for other regions.
To overcome this and improve Singapore’s forecasting capabilities, MSS’ Centre for Climate Research Singapore developed a local weather prediction model called “SINGV”, through a collaboration with the UK Meteorological Office.
With a higher spatial resolution of 1.5km to better model small-scale localised thunderstorms, forecasts in the tropics can be delivered with more precision.