Assessments of CMIP3 Climate Models and Projected Climate Changes of Precipitation and Temperature for Vietnam and the Southeast Asia
Main Article Content
Abstract
The main objective of this study is to assess the information of climate simulation and projection of temperature and precipitation based on the results of 23 models from the World Climate Research Programme’s (WCRP) Coupled Model Inter-comparison Project phase three (CMIP3) for Southeast Asian Countries with a more focus on Vietnam. The research is divided into two parts: i) Validation of the simulation of the 1948-2002 period with observations (gridded NCEP and CRU data and Vietnam’s surface station data) and ii) Assessments of projected climate changes for both precipitation and temperature variables. For the first part, depending on areas, main results showed a very systematic bias for the simulations of temperature and precipitation. CMIP3’s simulations have significant issues regarding high altitude regions, which can be explained by coarse of model resolutions to represent the effects of the complex topography, land-surface interactions, and the distorted albedo feedbacks due to extensive snow cover. In the second part, regarding the climate projection for temperature, It is projected to get warmer from 3.5 to 6 degrees in 21st Century in all scenarios. For the details in 2030 and 2050, the average annual temperature will clearly increase in the whole Vietnam. The trend of annual precipitation conditions at multi-scenarios in Southeast Asia compared to the current climate condition is not as clear as that of the temperature. The remarkable issue for Vietnam is in the A2 scenario, which provides the most change for the whole country.
Keywords:
Climate change, Vietnam, statistical model, regional scenario.
References
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[3] J.E. Hansen, S. Lebedeff, 1988: Global climate changes as Forecast by Goddard Institute for Sapce Studies Three-Dimensional Model. Journal of Geographical Research, pages 9341-9364.
[4] IPCC, 1990. Climate change. The IPCC Scientific Assessment. WMO/UNEP, Houghton.
[5] Busoic, A. H. von Storch and R. Schnur, 1999: Verification of GCM-generated regional seasons precipitation for current climate and of statistical downscaling estimate under changing climate conditions. J. climate 12.
[6] Kevin E. Trenberth, 1995: Climate system Modeling. The Press Syndicate of the University of Cambridge. England.
[7] I. Hanssen-Bauer, E. J. Forland, 2000: Evaluation and analysis of the ECHAM4/OPYC3 GSDIO-integration temperature and SLP-Fields over Norway and Svalbard. ISBN 3 540 42239 0 Springer.
[8] F.T. Cruz, F.T. Cruz, G.T. Narisma, J. B. Dado, P. Singhruck, F. Tangang, U. A. Linarka T. Wati, L. Juneng, T. Phan-Van, T. Ngo-Duc, J. Santisirisomboon, D. Gunawan and E. Aldrian, 2017: Sensitivity of temperature to physical parameterization schemes of RegCM4 over the CORDEX-Southeast Asia region. Int. J. Climatol. (2017). https://doi.org/10.1002/joc.5151.
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