Utilizing Earth Systems Prediction Capability (ESPC) to Forecast Mistral Wind Events

Abstract

Mistral wind events impact the coast of France and build seas in the Gulf of Lion. Strong and persistent wind events impact the routing of naval vessels and the ability to conduct operations in the Mediterranean. Properly identifying the meteorological synoptic picture is key to forecasters seeking to accurately predict Mistral events. Navy Earth Systems Prediction System (ESPC) is a coupled model developed by Naval Research Laboratory to produce atmospheric, oceanographic, and ice sub-seasonal forecasts. Using publicly available deterministic forecasts (from August 2017 through December 2021) and surface pressure and wind analyses, the skill of ESPC and forecast thumb rules in predicting the mistral between 7 and 21 days is evaluated. Deterministic ESPC displays a low amount of skill in directly predicting mistral events two to three weeks ahead. However, using the ESPC prediction of forecaster thumb rules increase the skill in some instances. Analysis of surface pressure and winds over the forecast area for the deterministic forecast was not found to be a reliable method for predicting events beyond the range of typical weather models.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2022
Accession Number
AD1213755

Entities

People

  • Jason C. Dahl

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • California
  • Data Analysis
  • Data Sets
  • Databases
  • Environment
  • False Alarms
  • Geography
  • High Pressure
  • Iberian Peninsula
  • Meteorology
  • Military Research
  • Naval Vessels
  • Oceans
  • Research Facilities
  • Ridges
  • Topography
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Computational Modeling and Simulation
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers