Literature DB >> 21909653

Developing higher resolution climate change scenarios for agricultural risk assessment: progress, challenges and prospects.

Qunying Luo1, Qiang Yu.   

Abstract

Climate change presents perhaps the greatest economic and environmental challenge we have ever faced. Climate change and its associated impacts, adaptation and vulnerability have become the focus of current policy, business and research. This paper provides invaluable information for those interested in climate change and its impacts. This paper comprehensively reviews the advances made in the development of regional climate change scenarios and their application in agricultural impact, adaptation and vulnerability assessment. Construction of regional climate change scenarios evolved from the application of arbitrary scenarios to the application of scenarios based on general circulation models (GCMs). GCM-based climate change scenarios progressed from equilibrium climate change scenarios to transient climate change scenarios; from the use of direct GCM outputs to the use of downscaled GCM outputs; from the use of single scenarios to the use of probabilistic climate change scenarios; and from the application of mean climate change scenarios to the application of integrated climate change scenarios considering changes in both mean climate and climate variability.

Mesh:

Year:  2011        PMID: 21909653     DOI: 10.1007/s00484-011-0488-4

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  6 in total

1.  Quantification of modelling uncertainties in a large ensemble of climate change simulations.

Authors:  James M Murphy; David M H Sexton; David N Barnett; Gareth S Jones; Mark J Webb; Matthew Collins; David A Stainforth
Journal:  Nature       Date:  2004-08-12       Impact factor: 49.962

2.  Uncertainty in predictions of the climate response to rising levels of greenhouse gases.

Authors:  D A Stainforth; T Aina; C Christensen; M Collins; N Faull; D J Frame; J A Kettleborough; S Knight; A Martin; J M Murphy; C Piani; D Sexton; L A Smith; R A Spicer; A J Thorpe; M R Allen
Journal:  Nature       Date:  2005-01-27       Impact factor: 49.962

3.  Impacts of climate change and variability on European agriculture: results of inventory analysis in COST 734 countries.

Authors:  Simone Orlandini; Pavol Nejedlik; Josef Eitzinger; Vesselin Alexandrov; Leonidas Toulios; Pierluigi Calanca; Miroslav Trnka; Jørgen E Olesen
Journal:  Ann N Y Acad Sci       Date:  2008-12       Impact factor: 5.691

4.  El Nino/Southern Oscillation response to global warming.

Authors:  M Latif; N S Keenlyside
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-05       Impact factor: 11.205

5.  A methodology for probabilistic predictions of regional climate change from perturbed physics ensembles.

Authors:  J M Murphy; B B B Booth; M Collins; G R Harris; D M H Sexton; M J Webb
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2007-08-15       Impact factor: 4.226

6.  Interactions of CO2, temperature and management practices: simulations with a modified version of CERES-Wheat.

Authors:  F N Tubiello; C Rosenzweig; T Volk
Journal:  Agric Syst       Date:  1995       Impact factor: 5.370

  6 in total
  1 in total

1.  Modeling the Impact of Climatological Factors and Technological Revolution on Soybean Yield: Evidence from 13-Major Provinces of China.

Authors:  Huaquan Zhang; Abbas Ali Chandio; Fan Yang; Yashuang Tang; Martinson Ankrah Twumasi; Ghulam Raza Sargani
Journal:  Int J Environ Res Public Health       Date:  2022-05-07       Impact factor: 4.614

  1 in total

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