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Volumn , Issue , 2009, Pages 2618-2624

GCM simulations of a future climate: How does the skill of GCM precipitation simulations compare to temperature simulations?

Author keywords

Climate change; General circulation model (GCM); Model skill

Indexed keywords

CIRCUIT SIMULATION; SOFTWARE ENGINEERING;

EID: 85086261386     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (13)
  • 2
    • 28044432777 scopus 로고    scopus 로고
    • Limited sensitivity analysis of regional climate change probabilities for the 21st century
    • Dessai, S., Lu, X. F., and Hulme, M., (2005), Limited sensitivity analysis of regional climate change probabilities for the 21st century. Journal of Geophysical Research-Atmospheres, 110.
    • (2005) Journal of Geophysical Research-Atmospheres , pp. 110
    • Dessai, S.1    Lu, X.F.2    Hulme, M.3
  • 5
    • 69249124120 scopus 로고    scopus 로고
    • Measurement of GCM skill in predicting variables relevant for hydroclimatological assessments
    • Johnson, F and Sharma, A. (2009), Measurement of GCM skill in predicting variables relevant for hydroclimatological assessments. Journal of Climate, DOI: 10.1175/2009JCLI2681.1.
    • (2009) Journal of Climate
    • Johnson, F.1    Sharma, A.2
  • 7
    • 0000423451 scopus 로고    scopus 로고
    • CMIP1 evaluation and intercomparison of coupled climate models
    • Lambert, S. J. and Boer, G. J. (2001), CMIP1 evaluation and intercomparison of coupled climate models. Climate Dynamics, 17, 83-106.
    • (2001) Climate Dynamics , vol.17 , pp. 83-106
    • Lambert, S.J.1    Boer, G.J.2
  • 8
    • 33744510576 scopus 로고    scopus 로고
    • Conditional resampling of hydrologic time series using multiple predictor variables: A K-nearest neighbour approach
    • Mehrotra, R. and Sharma, A. (2006), Conditional resampling of hydrologic time series using multiple predictor variables: A K-nearest neighbour approach. Advances in Water Resources, 29, 987-999.
    • (2006) Advances in Water Resources , vol.29 , pp. 987-999
    • Mehrotra, R.1    Sharma, A.2
  • 9
    • 34648846197 scopus 로고    scopus 로고
    • Evaluation of the AR4 climate models' simulated daily maximum temperature, minimum temperature, and precipitation over Australia using probability density functions
    • Perkins, S. E., Pitman, A. J., Holbrook, N. J., and McAneney, J. (2007), Evaluation of the AR4 Climate Models' Simulated Daily Maximum Temperature, Minimum Temperature, and Precipitation over Australia Using Probability Density Functions. Journal of Climate, 20, 4356-4376.
    • (2007) Journal of Climate , vol.20 , pp. 4356-4376
    • Perkins, S.E.1    Pitman, A.J.2    Holbrook, N.J.3    McAneney, J.4
  • 11
    • 42549169393 scopus 로고    scopus 로고
    • Measuring the potential predictability of ensemble climate predictions
    • Tang, Y., H. Lin, and A. M. Moore (2008), Measuring the potential predictability of ensemble climate predictions. Journal of Geophysical Research, 113.
    • (2008) Journal of Geophysical Research , pp. 113
    • Tang, Y.1    Lin, H.2    Moore, A.M.3
  • 13
    • 0033237208 scopus 로고    scopus 로고
    • Climate change and hydrologic models: A review of existing gaps and recent research developments
    • Xu, C. Y. (1999), Climate change and hydrologic models: A review of existing gaps and recent research developments. Water Resources Management, 13, 369-382.
    • (1999) Water Resources Management , vol.13 , pp. 369-382
    • Xu, C.Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.