Environmental Modeling Center (EMC): NOAA Forecast Systems Development Center The Environmental Modeling Center (EMC) is a key research division of the National Center fo...
Environmental Modeling Center (EMC) is a key research division of the National Center for Environmental Prediction (NCEP), part of the US National Oceanic and Atmospheric Administration (NOAA). emc.ncep.noaa.gov is the official platform for the center's efforts to develop, test, and implement sophisticated numerical models to predict weather, climate, ocean conditions, hydrology, hurricanes, and air quality.
The Environmental Modeling Center's primary mission is to maintain, improve, and commercialize numerical forecast systemsused both within NCEP and throughout the United States and beyond. The main focus is to ensure accurate and reliable forecasts to protect life and property, and promote sustainable economic development.
The center is responsible for more than 20 numerical forecasting systems, which are based on mathematical models of earth systems. These models analyze current environmental data and calculate possible scenarios for future weather and climate conditions.
EMC regularly publishes its research results in leading international journals. In 2025, works were published on the following topics:
Organization: Environmental Modeling Center (EMC)
Affiliation: National Centers for Environmental Prediction (NCEP), National Oceanic and Atmospheric Administration (NOAA), U.S. Department of Commerce
Address: Website: emc.ncep.noaa.gov
In 2025, EMC's Head of Modeling and Data Analytics (MDAB), Dr. Vijay Tallapragada, received two prestigious recognition awards from JNWPU, confirming the center's high level of scientific and professional recognition at the international level.
The Environmental Modeling Center is the research arm of NCEP responsible for the development and implementation of numerical forecast systems for weather, climate, oceans, hydrology, hurricanes, and air quality.
EMC develops more than 20 numerical forecast systems, including the Unified Forecast System (UFS), WRF, NOAH-Land Surface Model, NCEP Common Software (NCEPLIBS), and models for ocean, wave, precipitation and air pollutants.
Numerical forecasting uses mathematical models of earth systems that process current observational data (temperature, pressure, humidity, etc.) to predict future weather conditions using powerful supercomputers.
Forecast ensembles allow you to take into account uncertainties in initial conditions and models, which increases the reliability of the forecast. EMC is developing methods to measure their effectiveness and improve them, for example through PRVS and the Transformed Ensemble.
EMC's work has been published in journals such as MDPI, Bulletin of the American Meteorological Society, Monthly Weather Review, and EGU Geoscientific Model Development. Topics include aerosol modeling, wave systems, hydrological forecasts and data integration.
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