Setting Up Regional Climate Simulations for Southeast Asia

  • Patrick Laux
  • Van Tan Phan
  • Christof Lorenz
  • Tran Thuc
  • Lars Ribbe
  • Harald Kunstmann
Conference paper

DOI: 10.1007/978-3-642-33374-3_29

Cite this paper as:
Laux P., Phan V.T., Lorenz C., Thuc T., Ribbe L., Kunstmann H. (2013) Setting Up Regional Climate Simulations for Southeast Asia. In: Nagel W., Kröner D., Resch M. (eds) High Performance Computing in Science and Engineering ‘12. Springer, Berlin, Heidelberg

Abstract

Climate change and climate variability are main drivers for land–use, especially for regions dominated by agriculture. Within the framework of the project Land–Use and Climate Change Interactions in Central Vietnam (LUCCi) regional climate simulations are performed for Southeast Asia in order to estimate future agricultural productivity and to derive adaptive land–use strategies for the future. Focal research area is the Vu Gia-Thu Bon (VGTB) river basin of Central Vietnam. To achieve the goals of this project reliable high resolution climate information for the region is required. Therefore, the regional non-hydrostatic Weather Research and Forecasting (WRF) model is used to dynamically downscale large-scale coupled atmosphere–ocean general circulation model (AOGCM) information. WRF will be driven by the ECHAM5-GCM data and the business-as-usual scenario A1B for the period 1960–2050. The focus of this paper is on the setup of WRF for East Asia. Prior to running the long-term climate simulation in operational mode, experimental simulations using different physical parameterizations have been conducted and analyzed. Different datasets have been used to drive the WRF model and to validate the model results. For the evaluation of the parameterization combination special emphasis is given to the representation of the spatial patterns of rainfall and temperature. In total, around 1.7Mio CPUh are required to perform the climate simulations. The required computing resources have been approved from the Steinbuch Centre for Computing (KIT, SCC).

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Patrick Laux
    • 1
  • Van Tan Phan
    • 2
  • Christof Lorenz
    • 1
  • Tran Thuc
    • 3
  • Lars Ribbe
    • 4
  • Harald Kunstmann
    • 1
  1. 1.Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate ResearchAtmospheric Environmental Research (IMK-IFU)Garmisch-PartenkirchenGermany
  2. 2.Faculty of Hydrology, Meteorology and OceanographyHanoi University of ScienceHanoiVietnam
  3. 3.Ministry of Natural Resources and Environment (MONRE)Institute of Meteorology, Hydrology and Environment (IMHEN)HanoiVietnam
  4. 4.Cologne University of Applied SciencesInstitute for Technology and Resources Management in the Tropics and Subtropics (ITT)KölnGermany

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