Semi distributed hydro climate model; The Xls2NCascii program approach for weather generator

• Published in: ARPN Journal of Engineering and Applied Sciences
• Main Author: Rahman N.F.A.; Ali M.F.; Mohd M.S.F.; Khalid K.; Haron S.H.; Kamaruddin H.; Mispan M.R.
• Format: Article
• Language: English
• Published: Asian Research Publishing Network 2015
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84940093786&partnerID=40&md5=cb090e98b6028e017e4c131125dd614c

Modelling a hydro climate model can be tedious and time consuming due to many factors. This paper presents a new advanced approach for automatisation of weather generator data processing of soil and water assessment tool (SWAT) model in reducing the hardship of a hydro climate model. This approach is based on integrating multiple climate data programs in MATLAB environment and allowing the modification of Providing Regional Climates for Impacts Studies (PRECIS) output to suit the hydrological model needs. This is achieved by linking NCO, net CDF and CDO with each other and correcting the program by comparing the results using manual approach.This project is undertaken in the West part of Malaysia. The selected research area for this project is the upper part of Langat River Basin. This choice was made considering the importance of the Langat River basin to the Selangor state, one of the most important states in Malaysia. The current state of historical data for model setup, calibration and validation of the model includes future hydro-climate changes using PRECIS A1B data projection that is simulated for this project to see the quality of Xls2Ncascii in preparing soil and water assessment tool for weather generator.The hydrological changes due to climate change are investigated. © 2006-2015 Asian Research Publishing Network (ARPN).