ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Daily relative humidity projections in an Indian river basin for IPCC SRES scenarios

Anandhi, Aavudai and Srinivas, VV and Kumar, Nagesh D and Nanjundiah, Ravi S (2012) Daily relative humidity projections in an Indian river basin for IPCC SRES scenarios. In: Theoretical and Applied Climatology, 108 (1-2). pp. 85-104.

[img] PDF
theo_app_cli_108_2012.pdf - Published Version
Restricted to Registered users only

Download (1MB) | Request a copy
Official URL: http://www.springerlink.com/content/73466172rt8516...


A two-stage methodology is developed to obtain future projections of daily relative humidity in a river basin for climate change scenarios. In the first stage, Support Vector Machine (SVM) models are developed to downscale nine sets of predictor variables (large-scale atmospheric variables) for Intergovernmental Panel on Climate Change Special Report on Emissions Scenarios (SRES) (A1B, A2, B1, and COMMIT) to R (H) in a river basin at monthly scale. Uncertainty in the future projections of R (H) is studied for combinations of SRES scenarios, and predictors selected. Subsequently, in the second stage, the monthly sequences of R (H) are disaggregated to daily scale using k-nearest neighbor method. The effectiveness of the developed methodology is demonstrated through application to the catchment of Malaprabha reservoir in India. For downscaling, the probable predictor variables are extracted from the (1) National Centers for Environmental Prediction reanalysis data set for the period 1978-2000 and (2) simulations of the third-generation Canadian Coupled Global Climate Model for the period 1978-2100. The performance of the downscaling and disaggregation models is evaluated by split sample validation. Results show that among the SVM models, the model developed using predictors pertaining to only land location performed better. The R (H) is projected to increase in the future for A1B and A2 scenarios, while no trend is discerned for B1 and COMMIT.

Item Type: Journal Article
Publication: Theoretical and Applied Climatology
Publisher: Springer
Additional Information: Copyright of this article belongs to Springer.
Division of Mechanical Sciences > Civil Engineering
Date Deposited: 10 May 2012 10:34
Last Modified: 10 May 2012 10:37
URI: http://eprints.iisc.ac.in/id/eprint/44386

Actions (login required)

View Item View Item