Combining climatological and participatory approaches for assessing changes in extreme climatic indices at regional scale
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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.
KeywordsRegional Climate Model Precipitation Extreme Human Development Index Climatic Extreme Climate Research Unit
This work has been supported by the HighNoon project, funded by the European Commission Framework Programme 7 under Grant Nr. 227087.
- 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 PressGoogle 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, GenevaGoogle 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 101:312–326Google 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 14:758–769Google 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. 349Google 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 YorkGoogle Scholar
- Simmons AS, Uppala DD, Kobayashi S (2007) ERA-interim: new ECMWF reanalysis products from 1989 onwards. ECMWF Newsl 110:29–35Google Scholar
- West Bengal Human Development Report (2004) URL: http://hdr.undp.org/en/reports/national/asiathepacific/india/India_West%20Bengal_2004_en.pdf