alexa Climate Change Observed over the Indo-Gangetic Basin
ISSN: 2157-7617

Journal of Earth Science & Climatic Change
Open Access

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Research Article

Climate Change Observed over the Indo-Gangetic Basin

Chaudhuri C*, Srivastava R, Tripathi SN and Misra A
Department of Civil Engineering, Indian Institute of Technology, Kanpur, India
Corresponding Author : Chaudhuri C
Department of Civil Engineering
Indian Institute of Technology, Kanpur
Tel: +91 512 259 7755
E-mail: [email protected]
Received March 26, 2015; Accepted April 06, 2015; Published April 16, 2015
Citation: Chaudhuri C, Srivastava R, Tripathi SN, Misra A (2015) Climate Change Observed over the Indo-Gangetic Basin. J Earth Sci Clim Change 6:271. doi: 10.4172/2157-7617.1000271
Copyright: © 2015 Chaudhuri C, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
 

Abstract

We combine the seasonal mean precipitation and temperature from different datasets into a Bayesian framework using Multi-variable Bayesian Merging (MBaM) algorithm to draw a unified conclusion about their trend over the Indo- Gangetic Basin (IGB). The time series produced by the Bayesian method is combined into a Multi-variable Trend Principal Component (MTPC) setup to derive the equivalent climate change signals. These signals are then used to estimate the importance of different regional and global drivers influencing the climate change over the IGB. We show that the climate change over the IGB during pre-monsoon and monsoon seasons is very significant, during post-monsoon is less significant, and during winter season there is no indication of significant climate change. Global teleconnections are shown to have very little correlation to the climate change signal (e.g. RNino3=0.06∼0.21). On the other hand, the concentrations of greenhouse gases are found to exhibit very strong correlation (e.g RCO2 =0.94∼0.99) to the climate change signal, indicating their importance as drivers of the climate change over the IGB.

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