Application of Multiple Linear Regression as Downscaling Methodology for Lower Godavari Basin

dc.contributor.author	Singh, Ajit Pratap
dc.date.accessioned	2022-02-20T06:54:11Z
dc.date.available	2022-02-20T06:54:11Z
dc.date.issued	2017-11-16
dc.identifier.uri	https://link.springer.com/chapter/10.1007%2F978-981-10-5714-4_3
dc.identifier.uri	http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/4107
dc.description.abstract	This paper focused on future precipitation scenarios adopting statistical downscaling approach, namely, Multiple linear regression (MLR) for Lower Godavari basin, India. Global Climate Model (GCM), namely, GFDL-CM3 simulations, are used for downscaling purpose. Five grid points of Lower Godavari basin are considered. Reanalysis data from National Centre for Environmental Prediction (NCEP) of the study area from 1969 to 2005 is used for analysis. Precipitation is chosen as predictand. Representative Concentration Pathways (RCPs) scenarios, 4.5 and 6.0 are used for the study. Projected precipitation from 2006 to 2100 is obtained by the developed MLR model. Downscaled precipitation predictions show that there is increase in precipitation in the future.	en_US
dc.language.iso	en	en_US
dc.publisher	Springer	en_US
dc.subject	Civil Engineering	en_US
dc.subject	Global Climate Model (GCM)	en_US
dc.title	Application of Multiple Linear Regression as Downscaling Methodology for Lower Godavari Basin	en_US
dc.type	Book chapter	en_US

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