Abstract
In this chapter, we discuss the results of downscaling the climate over the Indian sub-continent using regional climate models (RCMs) following the coordinated regional climate downscaling experiment (CORDEX) framework. The climate change projections of four atmosphere-ocean coupled-global climate models (AOGCMs) have been downscaled for the period 1950–2100. The results of the downscaled RCMs are compared to those of the driving AOGCMs for the present climate in the period 1976–2005, to investigate whether RCMs are able to show added value, at regional scale relative to the performances of their driving AOGCMs. It is found that the spatial patterns of surface air temperature and seasonal precipitation are strongly affected by the choice of the RCM and driving AOGCMs. The RCMs are, however, able to improve the representation of the annual cycle of temperature in particular over the central India. The CORDEX South Asia RCMs indicate significant increases in temperatures over India in the mid-term (2031–2060) future climate change projections with the RCP4.5 scenario. However, the magnitude and sign of the summer monsoon season precipitation change over India is uncertain.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Dash SK, Mamgain A, Pattnayak KC, Giorgi F (2013) Spatial and temporal variations in Indian summer monsoon rainfall and temperature: an analysis based on RegCM3 simulations. Pure appl Geophys 170:655–674
Dobler, A., and B. Ahrens (2008) Precipitation by a regional climate model and bias correction in Europe and South Asia, Meteorol. Z., 17, 499–509.
Dufresne, J. L. and Coauthors (2013) Climate change projections using the IPSL-CM5 Earth System Model: from CMIP3 to CMIP5. Clim Dyn (2013) 40:2123–2165. DOI 10.1007/s00382-012-1636-1
Dunne, J.P. and Coauthors (2012) GFDL’s ESM2 Global Coupled Climate–Carbon Earth System Models. Part I: Physical Formulation and Baseline Simulation Characteristics. J. Clim, 25, 6646-6665.
Flato, G., J. and Coauthors (2013) Evaluation of Climate Models. In: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Stocker, T.F., D. Qin, G.-K. Plattner, M. Tignor, S.K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex and P.M. Midgley (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.
Giorgi F, Jones C, Asrar G (2009) Addressing climate information needs at the regional level: the CORDEX framework. World Meteorol Organ (WMO) Bull 58(July):175–183
Giorgi, F. and Coauthors (2012) RegCM4: model description and preliminary tests over multiple CORDEX domains. Clim Res 52:7–29.
Giorgetta, M.A. and Coauthors (2013) Climate and carbon cycle changes from 1850 to 2100 in MPI-ESM simulations for the coupled model intercomparison project phase 5. Journal of Advances in Modeling Earth Systems, 5, 572-597. doi:10.1002/jame.20038
Hazeleger, W. and Coauthors (2012) EC-Earth V2.2: description and validation of a new seamless earth system prediction model. Clim Dyn, 39:2611–2629. DOI 10.1007/s00382-011-1228-5
Krishnan, R., Sabin, T. P., Ayantika, D. C., Kitoh, A., Sugi, M., Murakami, H., Turner, A. G., Slingo, J. M. and Rajendran, K.: Will the South Asian monsoon overturning circulation stabilize any further?, Clim. Dyn., 40, 187–211, doi:10.1007/s00382-012-1317-0, 2013.
Krishnakumar K, S. K. Patwardhan, A. Kulkarni, K. Kamala, K. Koteswara Rao and R. Jones (2011) Simulated projections for summer monsoon climate over India by a high-resolution regional climate model (PRECIS). CURRENT SCIENCE, 101:312-326.
Mishra, V., D. Kumar, A. R. Ganguly, J. Sanjay, M. Mujumdar, R. Krishnan, and R. D. Shah (2014), Reliability of regional and global climate models to simulate precipitation extremes over India, J. Geophys. Res. Atmos., 119, 9301–9323, doi:10.1002/2014JD021636.
Rajendran, K and A. Kitoh (2008) Indian summer monsoon in future climate projection by a super high-resolution global model. Current Science, 95:1560-1569.
Sabin, T. P. and Coauthors (2013) High resolution simulation of the South Asian monsoon using a variable resolution global climate model. Clim Dyn 41:173–194. DOI 10.1007/s00382-012-1658-8.
Samuelsson, P. and Coauthors (2011) The Rossby Centre regional climate model RCA3: Model description and performance. Tellus, 63A, 4–23.
Taylor KE. 2001. Summarizing multiple aspects of model performance in a single diagram. J. Geophys. Res. 106: 7183–7192.
Taylor KE, Stouffer RJ, Meehl GA (2012) An overview of CMIP5 and the experiment design. Bull Am Meteorol Soc 93(4):485–498. doi:10.1175/BAMS-D-11-00094.1
Teichmann, C. and Coauthors (2013) How Does a Regional Climate Model Modify the Projected Climate Change Signal of the Driving GCM: A Study over Different CORDEX Regions Using REMO. Atmosphere, 4:214-236. doi:10.3390/atmos4020214
Yatagai, A., Kamiguchi, K., Arakawa, O., Hamada, A., Yasutomi, N. and Kitoh, A. (2012) APHRODITE: Constructing a long-term daily gridded precipitation dataset for Asia based on a dense network of rain gauges, Bull. Am. Met. Soc., 93, 1401-1415, doi:10.1175/BAMS-D-11-00122.1.
Acknowledgments
The World Climate Research Programme’s Working Group on Regional Climate, and the Working Group on Coupled Modelling, former coordinating body of CORDEX and responsible panel for CMIP5 are gratefully acknowledged. The climate modelling groups (listed in Table 1 of this chapter) are sincerely thanked for producing and making available their model output. The Earth System Grid Federation infrastructure (ESGF; http://esgf.llnl.gov/index.html) is also acknowledged. We are thankful to the IITM Prithvi and Aaditya High Power Computing (HPC) support for providing the computer resources for in-house model runs. The Climate Data Operators software (CDO; https://code.zmaw.de/projects/cdo/) and the Grid Analysis and Display System (GrADS; http://iges.org/grads/) were extensively used throughout this analysis. We thank Sandeep Ingle for managing CCCR climate data portal and for technical support. The Indian Institute for Human Settlements (IIHS) through the Adaptation at Scale in Semi-Arid Regions (ASSAR) consortia of the Collaborative Adaptation Research initiative in Africa and Asia (CARIAA) financially supported M. V. S. Ramarao for carrying out this scientific research.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Science+Business Media Singapore
About this chapter
Cite this chapter
Sanjay, J., Ramarao, M.V.S., Mujumdar, M., Krishnan, R. (2017). Regional Climate Change Scenarios. In: Rajeevan, M., Nayak, S. (eds) Observed Climate Variability and Change over the Indian Region. Springer Geology. Springer, Singapore. https://doi.org/10.1007/978-981-10-2531-0_16
Download citation
DOI: https://doi.org/10.1007/978-981-10-2531-0_16
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-2530-3
Online ISBN: 978-981-10-2531-0
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)