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Coupled ocean--atmosphere modeling and predictions.

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Title: Coupled ocean--atmosphere modeling and predictions.
Authors: Miller, Arthur J.1 ajmiller@ucsd.edu, Collins, Mat2, Gualdi, Silvio3, Jensen, Tommy G.4, Misra, Vasu5, Pezzi, Luciano Ponzi6, Pierce, David W.1, Putrasahan, Dian7, Hyodae Seo8, Yu-Heng Tseng9
Source: Journal of Marine Research. May2017, Vol. 75 Issue 3, p361-402. 42p.
Subjects: Atmospheric models, Downscaling (Climatology), El Niño, Global warming, Monsoons
Abstract: Key aspects of the current state of the ability of global and regional climate models to represent dynamical processes and precipitation variations are summarized. Interannual, decadal, and globalwarming timescales, wherein the influence of the oceans is relevant and the potential for predictability is highest, are emphasized. Oceanic influences on climate occur throughout the ocean and extend over land to affect many types of climate variations, including monsoons, the El Niño Southern Oscillation, decadal oscillations, and the response to greenhouse gas emissions. The fundamental ideas of coupling between the ocean-atmosphere-land system are explained for these modes in both global and regional contexts. Global coupled climate models are needed to represent and understand the complicated processes involved and allow us to make predictions over land and sea. Regional coupled climate models are needed to enhance our interpretation of the fine-scale response. The mechanisms by which large-scale, low-frequency variations can influence shorter timescale variations and drive regionalscale effects are also discussed. In this light of these processes, the prospects for practical climate predictability are also presented. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Marine Research is the property of Journal of Marine Research and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 125191097
AccessLevel: 6
PubType: Periodical
PubTypeId: serialPeriodical
PreciseRelevancyScore: 0
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  Data: Coupled ocean--atmosphere modeling and predictions.
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  Data: <searchLink fieldCode="AR" term="%22Miller%2C+Arthur+J%2E%22">Miller, Arthur J.</searchLink><relatesTo>1</relatesTo><i> ajmiller@ucsd.edu</i><br /><searchLink fieldCode="AR" term="%22Collins%2C+Mat%22">Collins, Mat</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Gualdi%2C+Silvio%22">Gualdi, Silvio</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Jensen%2C+Tommy+G%2E%22">Jensen, Tommy G.</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Misra%2C+Vasu%22">Misra, Vasu</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AR" term="%22Pezzi%2C+Luciano+Ponzi%22">Pezzi, Luciano Ponzi</searchLink><relatesTo>6</relatesTo><br /><searchLink fieldCode="AR" term="%22Pierce%2C+David+W%2E%22">Pierce, David W.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Putrasahan%2C+Dian%22">Putrasahan, Dian</searchLink><relatesTo>7</relatesTo><br /><searchLink fieldCode="AR" term="%22Hyodae+Seo%22">Hyodae Seo</searchLink><relatesTo>8</relatesTo><br /><searchLink fieldCode="AR" term="%22Yu-Heng+Tseng%22">Yu-Heng Tseng</searchLink><relatesTo>9</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Marine+Research%22">Journal of Marine Research</searchLink>. May2017, Vol. 75 Issue 3, p361-402. 42p.
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  Data: <searchLink fieldCode="DE" term="%22Atmospheric+models%22">Atmospheric models</searchLink><br /><searchLink fieldCode="DE" term="%22Downscaling+%28Climatology%29%22">Downscaling (Climatology)</searchLink><br /><searchLink fieldCode="DE" term="%22El+Niño%22">El Niño</searchLink><br /><searchLink fieldCode="DE" term="%22Global+warming%22">Global warming</searchLink><br /><searchLink fieldCode="DE" term="%22Monsoons%22">Monsoons</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Key aspects of the current state of the ability of global and regional climate models to represent dynamical processes and precipitation variations are summarized. Interannual, decadal, and globalwarming timescales, wherein the influence of the oceans is relevant and the potential for predictability is highest, are emphasized. Oceanic influences on climate occur throughout the ocean and extend over land to affect many types of climate variations, including monsoons, the El Niño Southern Oscillation, decadal oscillations, and the response to greenhouse gas emissions. The fundamental ideas of coupling between the ocean-atmosphere-land system are explained for these modes in both global and regional contexts. Global coupled climate models are needed to represent and understand the complicated processes involved and allow us to make predictions over land and sea. Regional coupled climate models are needed to enhance our interpretation of the fine-scale response. The mechanisms by which large-scale, low-frequency variations can influence shorter timescale variations and drive regionalscale effects are also discussed. In this light of these processes, the prospects for practical climate predictability are also presented. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Marine Research is the property of Journal of Marine Research and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=125191097
RecordInfo BibRecord:
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        Value: 10.1357/002224017821836770
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        Text: English
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        PageCount: 42
        StartPage: 361
    Subjects:
      – SubjectFull: Atmospheric models
        Type: general
      – SubjectFull: Downscaling (Climatology)
        Type: general
      – SubjectFull: El Niño
        Type: general
      – SubjectFull: Global warming
        Type: general
      – SubjectFull: Monsoons
        Type: general
    Titles:
      – TitleFull: Coupled ocean--atmosphere modeling and predictions.
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              M: 05
              Text: May2017
              Type: published
              Y: 2017
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