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Combining climatological and participatory approaches for assessing changes in extreme climatic indices at regional scale

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Abstract

This paper combines the climatological and societal perspectives for assessing future climatic extremes over Kangasabati River basin in India using an ensemble of four high resolution (25 km) regional climate model (RCM) simulations from 1970 to 2050. The relevant extreme indices and their thresholds are defined in consultation with stakeholders and are then compared using RCM simulations. To evaluate the performance of RCM in realistically representing atmospheric processes in the basin, model simulations driven with ERAInterim global re-analysis data from 1989 to 2008 are compared with observations. The models perform well in simulating seasonality, interannual variability and climatic extremes. Future climatic extremes are evaluated based on RCM simulations driven by GCMs, for present (1970–1999) and for the SRES A1B scenario for future (2021–2050) period. The analysis shows an intensification of majority of extremes as projected by future ensemble mean. The study suggests that there is a marked consistency in stakeholder observed changes in climate extremes and future predicted trends.

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References

  • Amaru S, Chhetri NB (2013) Climate adaptation: institutional response to environmental constraints, and the need for increased flexibility, participation, and integration of approaches. Appl Geogr 39:128–139

    Article  Google Scholar 

  • Bhave AG, Mishra A, Groot A (2013) Sub-basin-scale characterization of climate change vulnerability, impacts and adaptation in an Indian River basin. Reg Environ Chang. doi:10.1007/s10113-013-0416-8

    Google Scholar 

  • Collins M (2007) Ensembles and probabilities: a new era in the prediction of climate change. Philos Trans R Soc Lond A 365:1957–1970

    Article  Google Scholar 

  • Downing T, Patwardhan A (2004) Assessing vulnerability for climate adaptation, technical paper 3. In: Lim B, Spanger-Siegfried E (eds) Adaptation policy frameworks for climate change: developing strategies, policies and measures. Cambridge University Press

  • Frich P, Alexander LV, Della-Marta P, Gleason B, Haylock M, Klein Tank AMG, Peterson T (2002) Observed coherent changes in climatic extremes during the second half of the twentieth century. Clim Res 19:193–212

    Article  Google Scholar 

  • Gordon C, Cooper C, Senior CA, Banks H, Gregory JM, Johns TC, Mitchell JFB, Wood RA (2000) The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley centre coupled model without flux adjustments. Clim Dyn 16:147–168

    Article  Google Scholar 

  • IPCC (Intergovernmental Panel on Climate Change) (2001) Impacts, adaptation, and vulnerability, summary for policymakers and technical summary of the working group II report. IPCC, Geneva

    Google Scholar 

  • Kumar KK, Patwardhan SK, Kulkarni A, Kamala K, Rao KK, Jones R (2011) Simulated projections for summer monsoon climate over India by a high-resolution regional climate model PRECIS. Curr Sci 101:312–326

    Google Scholar 

  • Mastrandrea M, Luers A (2012) Climate change in California: scenarios and approaches for adaptation. Clim Chang 111:5–16

    Article  Google Scholar 

  • Mathison C, Wiltshire A, Dimri AP, Falloon P, Jacob D, Kumar P, Moors E, Ridley J, Siderius C, Stoffel M, Yasunari T (2012) Regional projections of North Indian climate for adaptation studies. Sci Total Environ. doi:10.1016/j.scitotenv.2012.04.066

    Google Scholar 

  • Meehl GA, Covey C, Delworth T, Latif M, McAvaney B, Mitchell JB, Stouffer RJ, Taylor KF (2007) The WCRP CMIP3 multimodel dataset: a new era in climate change research. Bull Am Meteorol Soc 88:1383–1394

    Article  Google Scholar 

  • Mishra AK, Singh VP (2009) Analysis of drought severity-area-frequency curves using a general circulation model and scenario uncertainty. J Geophys Res-Atmos 114:D06120

    Article  Google Scholar 

  • Mitchell TD, Jones PD (2005) An improved method of constructing a database of monthly climate observations and associated high resolution grids. Int J Climatol 25:693–712

    Article  Google Scholar 

  • Moors EJ, Groot A, Biemans H, Terwisscha van Scheltinga C, Siderius C, Stoffel M, Huggel C, Wiltshire A, Mathison C, Ridley J, Jacob D, Kumar P, Bhadwal S, Gosain A, Collins DN (2011) Adaptation to changing water resources in the Kangsabati basin, northern India. Sci Total Environ 14:758–769

    Google Scholar 

  • Revadekar JV, Kothawale DR, Patwardhan SK, Pant GB, Kumar KR (2012) About the observed and future changes in temperature extremes over India. Nat Hazards 60:1133–1155

    Article  Google Scholar 

  • Roeckner E, Bäuml G, Bonaventura L, Brokopf R, Esch M, Giorgetta M, Tompkins A (2003) The atmospheric general circulation model ECHAM5: part 1: model description. Report no. 349

  • Saeed F, Hagemann S, Jacob D (2012) A framework for the evaluation of the South Asian summer monsoon in a regional climate model applied to REMO. Int J Climatol 32:430–440

    Article  Google Scholar 

  • Shih P, Nguyen D, Hirano S, Redmiles D (2009) GroupMind: supporting idea generation through a collaborative mind-mapping tool, Proc of the ACM 2009 Int Conf on supporting group work, ACM, New York

  • Simmons AS, Uppala DD, Kobayashi S (2007) ERA-interim: new ECMWF reanalysis products from 1989 onwards. ECMWF Newsl 110:29–35

    Google Scholar 

  • Soares PMM, Cardoso RM, Miranda PMA, Viterbo P, Belo-Pereira M (2012) Assessment of the ENSEMBLES regional climate models in the representation of precipitation variability and extremes over Portugal. J Geophys Res-Atmos 117:1–18

    Article  Google Scholar 

  • West Bengal Human Development Report (2004) URL: http://hdr.undp.org/en/reports/national/asiathepacific/india/India_West%20Bengal_2004_en.pdf

  • Yatagai A, Arakawa O, Kamiguchi K, Kawamoto H, Nodzu MI, Hamada A (2009) A 44-year daily gridded precipitation dataset for Asia based on a dense network of rain gauges. SOLA 5:137–140

    Article  Google Scholar 

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Acknowledgment

This work has been supported by the HighNoon project, funded by the European Commission Framework Programme 7 under Grant Nr. 227087.

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Authors and Affiliations

  1. Agricultural and Food Engineering Department, Indian Institute of Technology Kharagpur, Kharagpur, 721302, West Bengal, India

    Neha Mittal, Ashok Mishra & Rajendra Singh

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  1. Neha Mittal
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  2. Ashok Mishra
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  3. Rajendra Singh
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Correspondence to Neha Mittal.

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Mittal, N., Mishra, A. & Singh, R. Combining climatological and participatory approaches for assessing changes in extreme climatic indices at regional scale. Climatic Change 119, 603–615 (2013). https://doi.org/10.1007/s10584-013-0760-1

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