Meteorologist - Impact Based Forecasting

The **Meteorologist - Impact Based Forecasting** involves providing technical expertise in Impact-Based Forecasting (IBF) within the domains of hydrology and meteorology, while also supporting project-specific assignments. Key responsibilities include the design, development, and operationalization of hydro meteorological impact forecasting tools; co-production of user-cantered services in collaboration with clients, scientific research institutions, and partner agencies; advancement of scientific and modelling methodologies; and active engagement in capacity-building initiatives for stakeholders.

**Minimum Qualifications**

**Education**:

- Master’s or higher degree in Atmospheric Science, Meteorology, Oceanic Science, Environmental Science, or similar disciplines.

**Knowledge Skills and Abilities**:

- Demonstrated expertise in dynamic model or AI/ML-based predictive modeling tools and platforms, and geospatial analysis tools including NWP, GG-Earth engine, GIS software (ArcGIS, QGIS).
- Strong knowledge of disaster risk modeling, including integration of forecast products with hazard, exposure, and vulnerability data to support impact-based decision-making.
- Proficiency in programming languages and tools such as Python, R, or similar platforms used for meteorological data analysis, automation, and visualization.
- Experience with WMO-compliant forecasting systems and working knowledge of climate service frameworks is highly desirable.
- Excellent communication and coordination skills, with proven experience engaging diverse stakeholders across multi-agency, regional, or international contexts.
- Demonstrated ability to manage tasks and deliver results under tight timelines, with a solution-oriented and collaborative work ethic.

**Experience**:

- **Minimum of 3 years of relevant experience** in meteorology, hydrology, disaster risk modeling, or related fields. Demonstrated expertise in numerical weather prediction (NWP) models, ensemble forecasting, and now casting techniques.
- **At least 2 years of hands-on experience** in operational forecasting, with preference for work involving multi-hazard early warning systems (MHEWS).
- **Proven track record** in analyzing meteorological and hydrological patterns, designing impact-based forecasting systems, and integrating multi-disciplinary datasets to support decision-making.
- **Experience in managing multi-stakeholder projects** and facilitating training or capacity-building programs, particularly in collaboration with government agencies, research institutions, and community-based organizations.

**Personal Qualities**
- Strategic thinker with strong analytical and solution-oriented capabilities in applied climate science.
- Self-driven and capable of working independently while maintaining accountability and initiative.
- Effective collaborator with the ability to work in multicultural, interdisciplinary teams and manage cross-sectoral engagement.
- Detail-oriented and results-focused, with adaptability in dynamic and evolving operational environments.
- Professional, respectful, and proactive in both independent and team-based work settings.

**Major Duties and Responsibilities**

**Core Technical Functions**
- Downscale and customize meteorological and climate forecasts to specific geographic locations of interest.
- Analyze and interpret high-resolution weather and climate forecast products in probabilistic terms (e.g., IMD, INCOIS, NCMRWF, ECMWF, WRF,etc), with a focus on high-impact extreme events such as cyclones, storm surges, tsunamis, floods (urban & riverine), extreme rainfall, lightning and heatwaves.
- Integrate forecast uncertainty, risk, and consequence factors to transform meteorological data into actionable hazard forecasts.
- Collaborate with AI/ML experts, GIS analysts, and disaster risk professionals for model integration, automation, and performance enhancement.
- Co-design and validate disaster risk models in collaboration with the RIMES IT team to improve model accuracy and operational reliability.
- Co-design and implement sector-specific early warning protocols for national and state disaster management authorities.
- Support the development of decision-support tools and interactive dashboards for communicating forecast-based risk insights to emergency planners and end-users.
- Deliver capacity-building workshops and training programs to strengthen the technical skills of national meteorological and disaster risk management institutions on IBF methodologies.
- Contribute to the preparation of localized impact outlooks and early warning bulletins and develop the sector-specific hazard risk maps and forecast-based early warning templates.
- Contribute to the generation of impact forecast bulletins and the development of technical documentation, including SOPs and IBF guidance notes for disaster management stakeholders.

**Capacity Building and Stakeholder Engagement and Documentation**
- Facilitate training programs for internal