Determination of Mesoscale Predictability Limits with Respect to Uncertainty in the Larger-Scale Environment

Abstract

An examination of the scale interactions in predictability experiments is made using the NCAR Community Climate Model Version 3 (CCM3) at various horizontal resolutions ranging from T42 to Ti 70. Both identical-model and imperfect-model twin experiments are analyzed, and they show distinctive differences from the classical inverse cascade picture of predictability error growth. In the identical-model twin framework, error growth experiments using initial errors confined to long and short scales are compared and contrasted. In these cases, error growth eventually asymptotes to an exponential growth of baroclinically active scales. In the imperfect-model twin experiments, errors rapidly disperse from scales technically beyond model resolution to a small amplitude, spectrally uniform distribution of errors in resolved scales. The errors in resolved scales further amplify in a quasi-exponential growth of the baroclinically active scales. Finally, the implications of these growth mechanisms for the necessary resolution in short- to medium-range numerical weather prediction are given under the assumption that the accuracy of current initial state

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Document Details

Document Type
Technical Report
Publication Date
Mar 31, 2004
Accession Number
ADA421893

Entities

People

  • David Baumhefner
  • Joseph Tribbia

Organizations

  • National Center for Atmospheric Research

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Amplitude
  • Atmospheres
  • Climate Change
  • Department Of Defense
  • Environment
  • Errors
  • Information Operations
  • Military Research
  • Perturbations
  • Sensitivity
  • Uncertainty
  • Urban Areas
  • Weather Forecasting

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers