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Research Applications Laboratory
2019 Annual Report
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Home » 2019 RAL Annual Report » National Security Applications

2019 RAL Annual Report

  • Director's Message
  • Next Generation Air Transportation
  • New and Emerging Applications
  • National Security Applications
    • Numerical Weather Prediction and Data Assimilation
    • Tropical Cyclones and Related Extreme Weather
    • Post-Processing
    • Air Quality Forecasting
    • Statistical and Dynamical Mesoscale Climate Downscaling
    • Atmospheric Transport and Dispersion of Hazardous Materials Research and Development
    • Disease-Spread Modeling
  • Numerical Systems Testing and Evaluation
  • Hydrometeorological Applications
  • Geographic Information Systems (GIS) Program

2019 Lab Annual Reports

  • Atmospheric Chemistry Observations & Modeling
  • Climate & Global Dynamics
  • Computational & Information Systems Laboratory
  • Education & Outreach
  • Earth Observing Laboratory
  • High Altitude Observatory
  • Mesoscale & Microscale Meterology Laboratory
  • National Center for Atmospheric Research
  • Research Applications Laboratory

Strategic Plans

  • RAL Strategic Plan
  • NCAR Strategic Plan

Previous RAL Reports

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National Security Applications

Significantly advance our understanding of mesoscale and urban-scale weather and climate processes, especially in the boundary layer, and our ability to forecast these atmospheric conditions operationally for the purpose of providing forecasters, decision makers, and emergency managers with accurate information to save lives and property.

  • Numerical Weather Prediction and Data Assimilation
  • Tropical Cyclones and Related Extreme Weather
  • Post-Processing
  • Air Quality Forecasting
  • Statistical and Dynamical Mesoscale Climate Downscaling
  • Atmospheric Transport and Dispersion of Hazardous Materials Research and Development
  • Disease-Spread Modeling
  • Numerical Weather Prediction and Data Assimilation
  • Tropical Cyclones and Related Extreme Weather
  • Post-Processing
  • Air Quality Forecasting
  • Statistical and Dynamical Mesoscale Climate Downscaling
  • Atmospheric Transport and Dispersion of Hazardous Materials Research and Development
  • Disease-Spread Modeling
‹ Model Development using Machine Learning up Numerical Weather Prediction and Data Assimilation ›
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