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Validation of Weather Forecasting Products

Technical Report ·
DOI:https://doi.org/10.2172/2406412· OSTI ID:2406412
 [1];  [2]
  1. Mississippi State Univ., Starkville, MS (United States)
  2. Savannah River National Laboratory (SRNL), Aiken, SC (United States)
Meteorological modeling plays a pivotal role in operational safety and emergency response at the Savannah River Site (SRS). This study focuses on verifying the Regional Atmospheric Modelling System (RAMS) Version 4.3 through Mean Bias Error (MBE) and Root Mean Square Error (RMSE) analyses of temperature, dew point, and wind speed over a decade. Using observed data from SRS, we assessed RAMS' accuracy, revealing seasonal biases and error trends. Results indicate RAMS' strengths in mild weather conditions but challenges during seasonal extremes and wind speed predictions due to measurement disparities. Future research aims to expand verification to other models and parameters, advocating for enhanced forecasting accuracy crucial for safeguarding personnel and community well-being.
Research Organization:
Savannah River National Laboratory (SRNL), Aiken, SC (United States)
Sponsoring Organization:
USDOE Office of Environmental Management (EM); USDOE Office of Science (SC), Workforce Development for Teachers and Scientists (WDTS)
DOE Contract Number:
89303321CEM000080
OSTI ID:
2406412
Report Number(s):
SRNL--STI-2024-00343
Country of Publication:
United States
Language:
English

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