Meteorologist

Role & responsibilities

Weather Analysis and Forecasting

• Analyze real-time meteorological data from multiple sources (satellite, radar, ground observations, NWP models)
• Setup and configuration of the WRF model.
• Generate short, medium, and extended-range weather forecasts
• Interpretation of ensemble outputs with uncertainty assessment for decision support.

Impact-Based Forecasting (IBF)

• Translate weather forecasts into potential impacts on communities, infrastructure, and sectors
• Support development of impact-based forecasting products and thresholds
• Collaborate with disaster management agencies to align forecasts with early action protocols.

Data Integration and DSS Support

• Integrate meteorological data into decision support systems and digital platforms
• Support development of forecast layers and weather-driven indicators for DSS applications
• Collaborate with GIS, AI/ML and Application development teams for data-driven forecasting solutions

Early Warning and Communication

• Prepare weather advisories, bulletins, and early warning messages
• Ensure clarity, accuracy, and usability of forecast information for different user groups
• Support dissemination of warnings through multiple communication channels

Model Evaluation and Improvement

• Evaluate performance of forecast models and provide feedback for improvement
• Support calibration and validation of forecasting tools and methodologies
• Contribute to development of localized forecasting approaches

Capacity Building and Stakeholder Engagement

• Conduct training sessions and regular capacity-building programs for NMHSs and stakeholders on weather forecasting (regional and global scales), modeling techniques, and impact-based forecasting approaches.
• Provide technical guidance and support to partner agencies.
• Participate in workshops, simulations, and early warning system strengthening activities.

Documentation and Reporting

• Prepare technical reports, forecast summaries, and documentation
• Maintain records of forecasts, warnings, and verification results
• Contribute to project reports and knowledge products

Additional Responsibilities

• Perform other tasks as assigned by the supervisor in line with project needs and priorities.
• Conduct research studies across relevant sectors based on emerging trends and future opportunities to support strategic planning and innovation.

Deliverables:

• Operational weather forecasts and advisories
• Impact-based forecasting products and risk outlooks
• Integration of meteorological data into DSS platforms
• Model evaluation and forecast verification reports
• Training materials and capacity-building outputs
• Periodic progress and technical reports aligned with project timelines

Preferred candidate profile

Education:

• Bachelors or Masters degree in Meteorology, Atmospheric Science, Climate Science, or a related field

Experience:

• Minimum 24 years of experience in weather forecasting, climate analysis, or operational meteorology
• Experience working with numerical weather prediction (NWP) models and forecasting systems
• Familiarity with meteorological data sources (satellite, radar, AWS, reanalysis, global forecast models)
• Experience in interpreting ensemble forecasts and probabilistic outputs
• Experience in preparing weather advisories, bulletins, and early warning products
• Familiarity with impact-based forecasting (IBF) approaches is highly desirable
• Experience working with NMHSs, disaster management agencies, or regional climate centers is an advantage

Technical Skills (Desirable):

• Experience with meteorological tools such as GrADS, Python, R, GIS platforms
• Familiarity with data visualization and dashboard tools
• Understanding of climate variability drivers (e.g., ENSO, MJO)
• Knowledge of hydrometeorological hazards (cyclones, floods, droughts, heatwaves, lightning)
• Experience integrating meteorological data into DSS platforms

Personal Qualities:

• Strong analytical and forecasting skills
• Ability to interpret complex scientific data for operational use
• Strong communication skills for translating forecasts into actionable messages
• Ability to work in multidisciplinary teams
• Adaptability in dynamic operational environments