Clients in various industries often need information about past weather conditions, climate statistics and probabilities of weather events for locations where there are no weather observations or parameters not traditionally measured such as soil moisture, solar radiation, hazards to aircraft (icing), or transmission quality of various electromagnetic bands.

MESO developed one of the original fine-scale numerical weather prediction (NWP) systems known as the Mesoscale Atmospheric Simulation System. MASS and similar systems have evolved over the last several decades to become the underlying framework for all modern-day weather forecasting. We have leveraged our experience with MASS and other advanced physics-based and statistical geophysical models to develop a unique system that recreates historical conditions and generates climate statistics for any region or point in the world with the same accuracy and quality as those derived from observations.

hawaii_obs_targeting_finalBecause NWP systems are based on physical laws of nature, they have advantages over using observations alone to generate statistics especially for many nontraditional parameters. MESO can provide a large number of these atmospheric, land surface, or ocean parameters as map images, gridded fields for GIS and other applications, or single points.

MESO also supports scientific research and development (R&D) contracts for government and private-sector entities. The most recent projects sponsored by the U.S. Department of Energy (DOE) and utility companies focus on requirements to improve weather forecast accuracy as part of electric grid management and operations involving renewable energy applications. Examples include:

  • Observation targeting studies for Lawrence Livermore National Labs – examine sensitivity of 0- to 6-hour ahead wind forecasts to the type and location of deployed sensors for both summer and winter in the Tehachapi Pass (CA) and mid-Columbia basin (WA-OR).
  • Wind forecast improvement project for the DOE – develop and demonstrate methods to improve 0- to 6-hour wind power forecast accuracy over Texas and facilitate integration of larger amounts of wind power in the electrical grid systems of the United States.
  • Electric Reliability Council of Texas large ramp alert system – develop and implement system to provide probabilistic and deterministic forecasts of large, and sudden changes in wind power production known as ramps.
  • Solar and wind integrated forecast tool for Hawaiian Electric Company – develop 0- to 48-hour solar and wind power production and ramp rate forecast system that is integrated into the operational grid management system five of the HI islands.

Improvements to our modeling systems resulting from past and current consulting projects can be rapidly transitioned to provide all clients the most accurate, update-to-date products and services.

For more information, please call 1-518-283-5169 or email us at


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