The Research Applications Laboratory has a large team of scientists and engineers with extensive experience in the design, development and implementation of meteorological algorithms used in diagnosing and forecasting weather phenomena. In particular, RAL staff have wide expertise in the following areas:

  • data quality control
  • data fusion
  • data mining
  • fuzzy logic
  • image processing
  • numerical model design
  • pattern recognition
  • product verification and validation
  • statistical algorithms

Here is a list of some of the state of the art algorithms RAL has designed and implemented:

  • 4D variational analysis
  • convective initiation and evolution
  • gust front tracking
  • icing detection and forecasting
  • Intelligent Outlier Detection Algorithm (IODA)
  • plume detection and tracking
  • road weather
  • short term weather forecasting (both site-based and grid-based)
  • soil moisture forecasting
  • thunderstorm tracking
  • turbulence detection and forecasting
  • weather profiler data quality control
  • windshear/microburst detection

Over the years, RAL has incorporated the algorithms mentioned above in complete turnkey systems that include data ingest and quality control through meteorological product formulation and delivery. Such systems are of interest to various governmental sectors including agriculture, aviation, military and transportation.