eMASCO

Meteorologist (Numerical Weather Prediction Modelling) studies atmospheric processes and weather patterns, using mathematical and computational models to simulate and forecast conditions. They collect, analyse, and interpret meteorological data from satellites, radar, and other instruments to develop accurate short- and long-term weather predictions. Their work supports public information, government planning, and sectors such as agriculture, aviation, and disaster management.

Tasks

Gather and analyse meteorological data from multiple sources to monitor atmospheric conditions.

Develop, implement, validate, and calibrate numerical models for weather prediction.

Investigate atmospheric phenomena such as air movement, pressure, temperature, humidity, cloud formation, and precipitation.

Issue model-based weather forecasts, warnings, and advisories on meteorological hazards.

Analyse forecast outputs and weather changes to assess potential impacts and risk mitigation measures.

Provide meteorological advisory services to customers, stakeholders, and relevant authorities.

Communicate model-based weather forecasts and warnings to media, government agencies, and the public.

Collaborate with disaster management teams and scientists to improve forecasting accuracy.

Maintain meteorological datasets, modelling systems, and participate in research to enhance forecasting techniques.

0532
Earth Sciences

Skills

Basic

Attention to detail and ability to work under pressure.

Computer programming and technical skills for numerical modeling.

Effective communication, teamwork, and active listening.

Proficiency in mathematics, physics, and data analysis.

Strong analytical and critical thinking skills.

Specific

Ability to communicate complex meteorological findings and forecasts to technical and non-technical stakeholders.

Knowledge of atmospheric dynamics, thermodynamics, and severe weather phenomena in forecast modelling.

Knowledge of data assimilation techniques and advanced statistical methods to improve forecast accuracy.

Knowledge of root cause analysis for forecast errors and weather-related events.

Knowledge of scientific research and development methods to enhance numerical weather prediction methodologies.

Proficiency in analysing satellite, radar, and remote sensing data for operational and research purposes.

Proficiency in developing and maintaining programming scripts and workflows such as Python, Java, MATLAB, and R for data processing, modelling, and visualisation.

Proficiency in Geographic Information Systems (GIS) for spatial analysis and presentation of meteorological information.

Proficiency in operating and applying numerical weather prediction models such as Weather Research and Forecasting (WRF), Global Forecast System (GFS), and European Centre for Medium-Range Weather Forecasts (ECMWF) for weather forecasting and atmospheric analysis.

Proficiency in testing and evaluating meteorological data and modelling outputs.

Additional Info

QUALIFICATION

Bachelor’s degree or equivalent

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