Development of a Global Hydrographic Climatology with High Quality Arctic Data

Abstract

Our long-term goal is to better represent the Arctic Ocean in numerical models. In order to validate these models, we need high quality gridded fields of observed quantities such as ocean temperature and salinity. Both the historical mean and the historical variance are required. We then need to discover where and when the models diverge from the observations. Armed with this knowledge, we can proceed to make improvements that will assist the Navy with their forecasting mission.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2001
Accession Number
ADA626104

Entities

People

  • Michael A. Steele

Organizations

  • University of Washington

Tags

DTIC Thesaurus Topics

  • Arctic Ocean
  • Atlantic Ocean
  • Climate
  • Climatology
  • Data Centers
  • Data Sets
  • Delphi Method
  • Ice
  • Models
  • Observation
  • Oceans
  • Physics Laboratories
  • Regions
  • Salinity
  • Sea Ice
  • Validation
  • Websites

Fields of Study

  • Environmental science

Readers

  • Computational Modeling and Simulation
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers