Chief Atmospheric Data Analyst

2 days ago


Thāne, Maharashtra, India beBeeAtmospheric Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Lead Climatologist

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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