Literature DB >> 9784127

Predictability in the midst of chaos: A scientific basis for climate forecasting

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Abstract

The Earth's atmosphere is generally considered to be an example of a chaotic system that is sensitively dependent on initial conditions. It is shown here that certain regions of the atmosphere are an exception. Wind patterns and rainfall in certain regions of the tropics are so strongly determined by the temperature of the underlying sea surface that they do not show sensitive dependence on the initial conditions of the atmosphere. Therefore, it should be possible to predict the large-scale tropical circulation and rainfall for as long as the ocean temperature can be predicted. If changes in tropical Pacific sea-surface temperature are quite large, even the extratropical circulation over some regions, especially over the Pacific-North American sector, is predictable.

Year:  1998        PMID: 9784127     DOI: 10.1126/science.282.5389.728

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  9 in total

1.  Subtropical high predictability establishes a promising way for monsoon and tropical storm predictions.

Authors:  Bin Wang; Baoqiang Xiang; June-Yi Lee
Journal:  Proc Natl Acad Sci U S A       Date:  2013-01-22       Impact factor: 11.205

Review 2.  Solving the lost in translation problem: improving the effectiveness of translational research.

Authors:  Ceren Ergorul; Leonard A Levin
Journal:  Curr Opin Pharmacol       Date:  2012-09-11       Impact factor: 5.547

3.  How to test for partially predictable chaos.

Authors:  Hendrik Wernecke; Bulcsú Sándor; Claudius Gros
Journal:  Sci Rep       Date:  2017-04-24       Impact factor: 4.379

4.  The long-range correlation and evolution law of centennial-scale temperatures in Northeast China.

Authors:  Xiaohui Zheng; Yi Lian; Qiguang Wang
Journal:  PLoS One       Date:  2018-06-06       Impact factor: 3.240

5.  Precipitation extremes and depth-duration-frequency under internal climate variability.

Authors:  Udit Bhatia; Auroop Ratan Ganguly
Journal:  Sci Rep       Date:  2019-06-24       Impact factor: 4.379

Review 6.  Predictability of Weather and Climate.

Authors:  V Krishnamurthy
Journal:  Earth Space Sci       Date:  2019-07-24       Impact factor: 2.900

7.  Mapping physiology: biophysical mechanisms define scales of climate change impacts.

Authors:  Francis Choi; Tarik Gouhier; Fernando Lima; Gil Rilov; Rui Seabra; Brian Helmuth
Journal:  Conserv Physiol       Date:  2019-08-13       Impact factor: 3.079

8.  Summer high temperature extremes over Northeastern China predicted by spring soil moisture.

Authors:  Jingyong Zhang; Zhanmei Yang; Lingyun Wu; Kai Yang
Journal:  Sci Rep       Date:  2019-08-29       Impact factor: 4.379

9.  Decadal shifts of East Asian summer monsoon in a climate model free of explicit GHGs and aerosols.

Authors:  Renping Lin; Jiang Zhu; Fei Zheng
Journal:  Sci Rep       Date:  2016-12-09       Impact factor: 4.379

  9 in total

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