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Preferred term

CLIVAR  

Definition

  • CLIVAR- An International Programme on Climate Variability and Predictability CLIVAR is an international research programme investigating climate variability and predictability on time-scales from months to decades and the response of the climate system to anthropogenic forcing. CLIVAR, as one of the major components of the World Climate Research Programme (WCRP), started in 1995 has a lifetime of 15 years. The overall purpose and goal of CLIVAR is: To describe and understand climate variability and predictability on seasonal to centennial time-scales, identify the physical processes responsible, including anthropogenic effects, and develop modeling and predictive capabilities where practicable. The specific CLIVAR Objectives are: Describe and understand the physical processes responsible for climate variability and predictability on seasonal, interannual, decadal and centennial time scales, through the collection and analysis of observations and the development and application of models of the coupled climate system and its component parts, in co-operation with other relevant climate research and observing programmes; Extend the record of climate variability over the time scales of interest through the assembly of quality-controlled paleoclimate and instrumental data sets; Extend the range and accuracy of seasonal to interannual climate prediction through the development of global coupled predictive models; Understand and predict the response of the climate system to increases of radiatively active gases and aerosols and to compare these predictions with the observed climate record in order to detect any anthropogenic modification of the natural climate signal. CLIVAR Home Page: "http://www.clivar.org/" International CLIVAR Project Office 256/20 Southampton Oceanography Centre Empress Dock, SOUTHAMPTON SO14 3ZH, UK Phone: +44-2380 596777 Fax: +44-2380 596204 email: icpo&#64soc.soton.ac.uk (en)

Broader concept

URI

https://gcmd.earthdata.nasa.gov/kms/concept/b971f45d-3a45-4ef2-99df-d6b88bbc7cc3

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