Literature DB >> 17569649

Ensembles and probabilities: a new era in the prediction of climate change.

Mat Collins1.   

Abstract

Predictions of future climate are of central importance in determining actions to adapt to the impacts of climate change and in formulating targets to reduce emissions of greenhouse gases. In the absence of analogues of the future, physically based numerical climate models must be used to make predictions. New approaches are under development to deal with a number of sources of uncertainty that arise in the prediction process. This paper introduces some of the concepts and issues in these new approaches, which are discussed in more detail in the papers contained in this issue.

Mesh:

Year:  2007        PMID: 17569649     DOI: 10.1098/rsta.2007.2068

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  8 in total

1.  Response of air stagnation frequency to anthropogenically enhanced radiative forcing.

Authors:  Daniel E Horton; Noah S Diffenbaugh
Journal:  Environ Res Lett       Date:  2012       Impact factor: 6.793

2.  Machine learning for weather and climate are worlds apart.

Authors:  D Watson-Parris
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2021-02-15       Impact factor: 4.226

3.  Mathematics applied to the climate system: outstanding challenges and recent progress.

Authors:  Paul D Williams; Michael J P Cullen; Michael K Davey; John M Huthnance
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2013-04-15       Impact factor: 4.226

4.  Uncertainties associated with quantifying climate change impacts on human health: a case study for diarrhea.

Authors:  Erik W Kolstad; Kjell Arne Johansson
Journal:  Environ Health Perspect       Date:  2010-10-06       Impact factor: 9.031

5.  Enhanced adaptive management: integrating decision analysis, scenario analysis and environmental modeling for the Everglades.

Authors:  Matteo Convertino; Christy M Foran; Jeffrey M Keisler; Lynn Scarlett; Andy LoSchiavo; Gregory A Kiker; Igor Linkov
Journal:  Sci Rep       Date:  2013-10-11       Impact factor: 4.379

6.  Visualizing the uncertainty in the relationship between seasonal average climate and malaria risk.

Authors:  D A MacLeod; A P Morse
Journal:  Sci Rep       Date:  2014-12-02       Impact factor: 4.379

7.  Enhanced mesoscale climate projections in TAR and AR5 IPCC scenarios: a case study in a Mediterranean climate (Araucanía Region, south central Chile).

Authors:  R Orrego; R Abarca-Del-Río; A Ávila; L Morales
Journal:  Springerplus       Date:  2016-09-28

8.  A new global dataset of bioclimatic indicators.

Authors:  Sergio Noce; Luca Caporaso; Monia Santini
Journal:  Sci Data       Date:  2020-11-16       Impact factor: 6.444

  8 in total

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