
Chief Atmospheric Data Analyst
2 days ago
Climatology and Atmospheric Science Foundation seeks a Lead Climatologist to anchor the climatology and atmospheric science foundation of WeatherGuard AI, a next-generation Marine & Aviation Intelligence platform.
- Data Modeling:
- Curate and analyze climate datasets (ERA5, CMIP6, IMERG, HYCOM, CMEMS, buoy & radar archives).
- Develop methodologies for QPE (Quantitative Precip Estimation) and QCE (Quantitative Current Estimation).
- Guide assimilation of rainfall, currents, waves, and tide datasets into unified models.
- Forecasting Validation:
- Collaborate on design of AI-driven rainfall and ocean current forecasts.
- Establish skill metrics and validation frameworks against gauges and station networks.
- Support integration of aviation climatology (turbulence, wind shear, visibility indices).
- Domain Leadership:
- Mentor the AI/ML team on climatological best practices.
- Advise on extreme events (monsoons, cyclones, storm surges, turbulence corridors).
- Represent WeatherGuard AI in collaborations with IMD, INCOIS, IITM, ECMWF, and other climate centers.
- Impact Translation:
- Translate scientific outputs into actionable insights for Navy, Ports, Aviation, and Disaster Management.
- Shape dashboards, tiles, and alerts to reflect climatological reliability.
Key Qualifications:
- PhD/Master's in Climatology, Atmospheric Science, Meteorology, Oceanography, or related field.
- 10+ years research or applied experience in climatology / weather modeling / marine or aviation meteorology.
- Proven expertise with datasets like ERA5, IMERG, CMIP, HYCOM, WaveWatch III.
- Knowledge of assimilation techniques (Kalman filters, variational assimilation).
- Strong coding skills in Python (xarray, netCDF4, numpy, matplotlib); GIS a plus.
- Track record of publications or operational contributions (IMD, INCOIS, IITM, WMO, ECMWF, or equivalent).
Engagement Options:
- Full-time or consultancy arrangements.
- Consultancy engagement may include:
- Monthly/quarterly advisory sessions.
- Review of data assimilation & forecast models.
- Validation of AI-driven outputs against climatological standards.
- Mentorship of AI/data science team.
- Short-term project-based consulting also possible for specific pilots (e.g., Navy, Ports, ATC).
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