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Trend and uncertainty analysis of simulated climate change impacts with multiple GCMs and emission scenarios

Dates

Year
2010

Citation

Zhang, X. C., Liu, W. Z., Li, Z., and Chen, J., 2010, Trend and uncertainty analysis of simulated climate change impacts with multiple GCMs and emission scenarios: Agricultural and Forest Meteorology, v. 151, no. 10, p. 1297-1304.

Summary

Trends and uncertainty of the climate change impacts on hydrology, soil erosion, and wheat production during 2010–2039 at El Reno in central Oklahoma, USA, were evaluated for 12 climate change scenarios projected by four GCMs (CCSR/NIES, CGCM2, CSIRO-Mk2, and HadCM3) under three emissions scenarios (A2, B2, and GGa). Compared with the present climate, overall t-tests (n = 12) show that it is almost certain that mean precipitation will decline by some 6% (>98.5% probability), daily precipitation variance increase by 12% (>99%), and maximum and minimum temperature increase by 1.46 and 1.26 °C (>99%), respectively. Compared with the present climate under the same tillage systems, it is very likely (>90%) that evapotranpiration and long-term [...]

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  • National and Regional Climate Adaptation Science Centers
  • Northeast CASC

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Type Scheme Key
DOI http://sciencebase.gov/vocab/identifierScheme http://dx.doi.org/10.1016/j.agrformet.2011.05.010
ISSN http://sciencebase.gov/vocab/identifierScheme 0168-1923

Citation Extension

citationTypeJournal Article
journalAgricultural and Forest Meteorology
parts
typePages
value1297-1304
typeVolume
value151
typeNumber
value10

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