Title: Climate modelling using ANN

Authors: Mehnaza Akhter; Manzoor Ahmad Ahanger

Addresses: Department of Civil Engineering, National Institute of Technology Srinagar, Jammu and Kashmir, India ' Department of Civil Engineering, National Institute of Technology Srinagar, Jammu and Kashmir, India

Abstract: In the present study artificial neural network (ANN) model was applied to monthly temperature and precipitation data for base time (1979-2009) at four different metrological stations vis Srinagar, Pahalgam, Qazigund and Gulmarg of river Jhelum basin in the State of Jammu and Kashmir, India and the future average annual temperature and precipitation predicted up to 2100. The large scale GCM predictors were related to observed precipitation and temperature and future projections of climate were made under A1B and A2 scenario upto 21st century. At the end of the 21st century the mean annual temperature of the Jhelum river basin is predicted to increase by 1.43°C whereas the total annual precipitation is predicted to decrease substantially by 30.88% ANN technique under A1B scenario. However, for A2 scenario average annual temperature increased by 1.56°C and total annual precipitation decreased by 35.32%.

Keywords: artificial neural network; ANN; Srinagar; Pahalgam; Qazigund; Gulmarg; scenario; temperature; precipitation.

DOI: 10.1504/IJHST.2019.102316

International Journal of Hydrology Science and Technology, 2019 Vol.9 No.3, pp.251 - 265

Received: 14 Dec 2016
Accepted: 13 Nov 2017

Published online: 13 Sep 2019 *

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