Toward Better Intraseasonal and Seasonal Prediction: Verification and Evaluation of the NOGAPS Model Forecasts

Abstract

Intraseasonal and seasonal prediction provides important information for decision-making and resource management, and has received increased attention in recent years. Despite substantial progresses in numerical modeling in the past few decades, skillful seasonal prediction remains a challenge for many models. Verification and evaluation of model forecasts can offer users necessary information on the model prediction skills and uncertainties, and provide model development teams with useful information on model improvements.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2013
Accession Number
ADA597661

Entities

People

  • Melinda S. Peng
  • Zhuo Wang

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Artificial Satellites
  • Atmospheric Sciences
  • Climate
  • Composite Materials
  • Cyclones
  • Deficiencies
  • Electronic Mail
  • Indian Ocean
  • Marine Meteorology
  • Meteorology
  • Precipitation
  • Resource Management
  • Simulations
  • Test And Evaluation
  • Tropical Cyclones
  • Verification
  • Water Vapor

Readers

  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.