Abstract
For the region of Peninsular Malaysia and Malaysia’s Sabah-Sarawak northern region of Borneo Island, long sea level records do not exist. In such case the Atmospheric-Oceanic Global Climate Model (AOGCM) projections for the 21st century can be downscaled to the Malaysia region by means of regression techniques, utilizing the short records of satellite altimeters in this region against the GCM projections during a mutual observation period. In this case study on the assessment of sea level change along the coastlines of Peninsular Malaysia and Sabah-Sarawak, the spatial variation of the sea level change is estimated in time by assimilating the global mean sea level projections from the AOGCM simulations to the satellite altimeter observations along the subject coastlines. Details of this case study were presented in Ercan et al. (2013) at Hydrol Process, 27(3):367–377.
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References
Bindoff NL, Willebrand J, Artale V, Cazenave A, Gregory J, Gulev S, Hanawa K, Le Quéré C, Levitus S, Nojiri Y, Shum CK, Talley LD, Unnikrishnan A (2007) Observations: oceanic climate change and sea level. In: Solomon S et al. (eds) Climate change 2007: The Physical Science Basis. Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate. Cambridge University Press: Cambridge, New York, pp 385–432
Commonwealth Scientific and Industrial Research Organisation (CSIRO) (2010) http://www.cmar.csiro.au/sealevel/sl_data_cmar.html. Downloaded in Sept. 2010
Dorandeu J, Le Traon PY (1999) Effects of global mean atmospheric pressure variations on mean sea level changes from TOPEX/Poseidon. J Atmos Oceanic Technol 16(9):1279–1283
Ercan A, Mohamad MF, Kavvas ML (2013) Sea level rise due to climate change around the Peninsular Malaysia and Sabah and Sarawak coastlines for the 21st century. Hydrol Process 27(3):367–377. doi:10.1002/hyp.9232
Flato GM (2005) The Third Generation Coupled Global Climate Model (CGCM3) (and included links to the description of the AGCM3atmospheric model). http://www.cccma.bc.ec.gc.ca/models/cgcm3.shtml
K-1 model developers (2004) K-1 coupled model (MIROC) description. Technical report 1. Center for Climate System Research, University of Tokyo
Legutke S, Maier-Reimer E (1999) Climatology of the HOPE-G Global Ocean General Circulation Model. Technical report No. 21, German Climate Computer Centre (DKRZ): Hamburg, Germany, pp 90
Meehl GA, Stocker TF, Collins WD, Friedlingstein P, Gaye AT, Gregory JM, Kitoh A, Knutti R, Murphy JM, Noda A, Raper SCB, Watterson IG, Weaver AJ, Zhao Z-C (2007a) Global climate projections. In: Solomon S et al. (eds) Climate change 2007: The Physical Science Basis. Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press: Cambridge, New York
Meehl GA, Covey C, Delworth T, Latif M, McAvaney B, Mitchell JFB, Stouffer RJ, Taylor KE (2007b) The WCRP CMIP3 multimodel dataset: a new era in climate change research. Bull Am Meteorol Soc 88:1383–1394
McFarlane NA, Boer GJ, Blanchet J-P, Lazare M (1992) The Canadian Climate Centre second-generation general circulation model and its equilibrium climate. J Climate 5(10):1013–1044.
Pacanowski RC, Dixon K, Rosati A (1993) The GFDL Modular Ocean Model Users Guide, Version 1.0. GFDL Ocean Group Technical Report No. 2, Geophysical Fluid Dynamics Laboratory: Princeton, NJ
Peltier WR (1994) Ice-age paleotopography. Science 265:195–201
Peltier WR (1996) Mantle viscosity and ice-age ice-sheet topography. Science 273:1359–1364
Peltier WR (2002) Global glacial isostatic adjustment: paleo-geodetic and space geodetic tests of the ICE-4G(VM2) model. J Quat Sci 17:491–510
Peltier WR (2009) Closure of the budget of global sea level rise over the GRACE era: the importance and magnitudes of the required corrections for the influence of global glacial isostatic adjustment. Quat Sci Rev 28:1658–1674
Ponte RM, Gaspar P (1999) Regional analysis of the inverted barometer effect over the global ocean using Topex/Poseidon data and model results. J Geosphys Res, 104(C7): 15587–15601
Roeckner E, Arpe K, Bengtsson L, Christoph M, Claussen M, Dümenil L, Esch M, Giorgetta M, Schlese U, Schulzweida U (1996) The Atmospheric General Circulation Model ECHAM4: Model Description and Simulation of Present-Day Climate. MPI Report No. 218, Max-Planck-Institut für Meteorologie: Hamburg, Germany, pp 90
Russell GL, Miller JR, Rind D (1995) A coupled atmosphere–ocean model for transient climate change studies. Atmos.-Ocean 33(4):683–730
Russell GL (2005) 4x3 atmosphere–ocean model documentation. http://aom.giss.nasa.gov/doc4x3.html
Randall DA, Wood RA, Bony S, Colman R, Fichefet T, Fyfe J, Kattsov V, Pitman A, Shukla J, Srinivasan J, Stouffer RJ, Sumi A, Taylor KE (2007) Cilmate models and their evaluation. In: Solomon S et al. (eds) Climate change 2007: The Physical Science Basis. Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press: Cambridge, New York
Schmidt GA, Ruedy R, Hansen JE, et al. (2006) Present day atmospheric simulations using GISS ModelE: Comparison to in-situ, satellite and reanalysis data. Journal of Climate 19(2):153–192.
Shibata K, Yoshimura H, Ohizumi M, Hosaka M, Sugi M (1999) A simulation of troposphere, stratosphere and mesosphere with an MRI/JMA98 GCM. Papers in Meteorology and Geophysics 50(1):15–53
Yukimoto S, Noda A, Kitoh A, Sugi M, et al. (2001) The new Meteorological Research Institute global ocean–atmosphere coupled GCM (MRI-CGCM2)-Model climate and variability. Papers in Meteorology and Geophysics 51(2):47–88
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Ercan, A., Kavvas, M.L., Abbasov, R.K. (2013). Case Study II: Sea Level Change at Peninsular Malaysia and Sabah-Sarawak. In: Long-Range Dependence and Sea Level Forecasting. SpringerBriefs in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-319-01505-7_5
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