High-resolution simulations for Vietnam - methodology and evaluation of current climate

  • Jack Katzfey
  • Kim Nguyen
  • John McGregor
  • Peter Hoffmann
  • Suppiah Ramasamy
  • Hiep Van Nguyen
  • Mai Van Khiem
  • Thang Van Nguyen
  • Kien Ba Truong
  • Thang Van Vu
  • Hien Thuan Nguyen
  • Tran Thuc
  • Doan Ha Phong
  • Bang Thanh Nguyen
  • Tan Phan-Van
  • Trung Nguyen-Quang
  • Thanh Ngo-Duc
  • Long Trinh-Tuan
Article

DOI: 10.1007/s13143-016-0011-2

Cite this article as:
Katzfey, J., Nguyen, K., McGregor, J. et al. Asia-Pacific J Atmos Sci (2016) 52: 91. doi:10.1007/s13143-016-0011-2

Abstract

To assist the government of Vietnam in its efforts to better understand the impacts of climate change and prioritise its adaptation measures, dynamically downscaled climate change projections were produced across Vietnam. Two Regional Climate Models (RCMs) were used: CSIRO’s variable-resolution Conformal-Cubic Atmospheric Model (CCAM) and the limited-area model Regional Climate Model system version 4.2 (RegCM4.2). First, global CCAM simulations were completed using bias- and variance-corrected sea surface temperatures as well as sea ice concentrations from six Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models. This approach is different from other downscaling approaches as it does not use any atmospheric fields from the GCMs. The global CCAM simulations were then further downscaled to 10 km using CCAM and to 20 km using RegCM4.2. Evaluations of temperature and precipitation for the current climate (1980-2000) were completed using station data as well as various gridded observational datasets. The RCMs were able to reproduce reasonably well most of the important characteristics of observed spatial patterns and annual cycles of temperature. Average and minimum temperatures were well simulated (biases generally less than 1oC), while maximum temperatures had biases of around 1oC. For precipitation, although the RCMs captured the annual cycle, RegCM4.2 was too dry in Oct.-Nov. (-60% bias), while CCAM was too wet in Dec.- Mar. (130% bias). Both models were too dry in summer and too wet in winter (especially in northern Vietnam). The ability of the ensemble simulations to capture current climate increases confidence in the simulations of future climate.

Key words

Regional climate dynamical downscaling evaluation 

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Copyright information

© Korean Meteorological Society and Springer Science+Business Media Dordrecht 2016

Authors and Affiliations

  • Jack Katzfey
    • 1
    • 6
  • Kim Nguyen
    • 1
  • John McGregor
    • 1
  • Peter Hoffmann
    • 1
    • 4
  • Suppiah Ramasamy
    • 1
  • Hiep Van Nguyen
    • 2
  • Mai Van Khiem
    • 2
  • Thang Van Nguyen
    • 2
  • Kien Ba Truong
    • 2
  • Thang Van Vu
    • 2
  • Hien Thuan Nguyen
    • 2
  • Tran Thuc
    • 2
  • Doan Ha Phong
    • 2
  • Bang Thanh Nguyen
    • 2
  • Tan Phan-Van
    • 3
  • Trung Nguyen-Quang
    • 3
  • Thanh Ngo-Duc
    • 5
  • Long Trinh-Tuan
    • 3
  1. 1.CSIRO - Oceans and AtmosphereAspendaleAustralia
  2. 2.Institute of MeteorologyHydrology and Climate Change (IMHEN)HanoiVietnam
  3. 3.VNU Hanoi University of Science (HUS)HanoiVietnam
  4. 4.Department of MathematicsUniversity of HamburgBerlinGermany
  5. 5.University of Science and Technology of Hanoi (USTH)HanoiVietnam
  6. 6.CSIRO-Oceans and AtmosphereAspendaleAustralia

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