Persistent Digital Identifiers (UIDs)
ORCID :
0000-0003-3846-2481
Highest Degree
Master of Technology in Satellite Meteorology and Global climate
Job Type
Research
Operational Support (technical)
Extension Services (Public Awareness)
Activities
Job Description: Weather monitoring, analyzing and forecasting
This
meteorologist position is responsible for monitoring and making weather
forecast for state government, public, air force and aviation industries. Scope weather monitoring covers inland and ocean. The
job will ensure that all key parties receive updated weather forecast to
support the critical decision crucial
for the national disaster
management process.
Key responsibilities:
(a) Continuously observing and monitoring the current weather phenomena such as
thunderstorm, heavy rain, haze, fog or any precipitation that is potentially harmful to public and airport operations in Sarawak. Working
in shift and responsible for
preparing and updating the 7 days’ weather
forecasts for the
entire Sarawak region.
(b) The actual weather phenomena is closely monitored and observed from
the monitoring system developed such as METAR/SPECI report in Automated Weather
System (AWS), real-time satellite image interpretation from Himawari (Japan)
and Feng-Yun (China), surface observation from Weather Radar and Wind Shear
Detection System (WSDS).
(c) Analyzing the potential meteorological phenomena induced from wind
at each atmospheric geopotential height 1000mb, 850mb, 500mb and 200mb. Wind
parameters at each height are obtain from the Numerical Weather Prediction
(NWP) model by European Centre for Medium Range Weather Forecasts (ECMWF) and Global
Forecast System (GFS). The weather and wind forecast will be counter-analyzed
with MMD-GFS, the local NWP product developed by Malaysian Meteorological
Department (MET) specifically for Malaysian region. Analyzing other
meteorological parameters that may triggers significant weather from eMet, the
official web base system developed by MET.
(d) Assessing
and monitoring the severity of the meteorological phenomena occurring at each specific
division in Sarawak including issuance of severe weather warning for the public and agencies involved.
(e) Responsible
for the issuance of significant meteorological
weather warning Aerodrome (AD), Terminal Aerodrome Forecast (TAFOR) and
Trend-Type Landing forecast (TREND) for each airport, and for it to be published globally
in the Aviation Briefing Terminal (ABT) system. The job also responsible for the issuance of Meteorological Warning
(Met Warning) for Royal Malaysian Air Force (RMAF) when the significant weather
approaches.
Other activities: Satellite
meteorological research work
(a) Actively
participating in scientific
research activities using satellite data or any related meteorological datasets
available to understand the weather phenomena over the region and to improve
forecasting skills among forecasters. Well-versed and able to translate large
datasets at each data format (netcdf/hdf/ascii/grib) from the satellites
GPM/DPR/TRMM(NASA), Himawari (JAXA), GSMaP(JAXA) and INSAT (ISRO).
(b) Currently participating in research work in developing and improving new rainfall
estimation algorithm Malaysian Convective Rainfall Algorithm (MCRA) for
Malaysian region using the
hybrid technique between the
thermal infrared channel from Himawari’s satellite and the near-surface rainfall estimation from the Global
Precipitation Measurement (GPM) of Dual Precipitation Radar (DPR).
Sea regions of study
South China Sea
Indian Ocean
Skills
Microsoft Office >
20 years (Advanced)
GRADS Programming > 5 years (Intermediate)
Fortran > 6 years (Intermediate)
Python Programming > 6 years (Advanced)
Basic GIS (QGIS) >
2 years (Beginners)
LINUX > 6 years (Intermediate)
Weather Forecasting skills > 13 years (Advance)
Comment(s)
Experienced meteorologist with Malaysian Meteorological Department for
more than 13 years and currently active in research work in satellite meteorological
application. Very passionate and enthusiasm in rainfall estimation and
algorithm studies and looking forward to expand the skills in big data
application particularly in satellite data for both ocean and land.