Climate Simulation Using RCM Data for Jamnagar District
Hina Bhatu1 * and Harji Rank2
1
Department of Agriculture,
School of Engineering,
RK University,
Rajkot,
India
2
AICRP on Irrigation Water Management,
Junagadh Agricultural University,
Junagadh,
India
http://dx.doi.org/10.12944/CWE.12.2.25
Scarcity of water resources and pollution will be the major emerging issues in the current and next century. Climate change is also one of the threats among several other impacting on water resources. GCMs are fundamental tools for predicting future climate and RCMs are outstanding tools for studying the mechanisms of climate at scales that are not yet resolved by GCM. The meteorological data (precipitation and temperature) simulated by CGCM2.3.2 RCM for the control period (1961-2000) as well as future periods (2046-64 & 1981-2100) were analyzed for the bias corrections. It was analyzed to assess how well the important statistics (Coefficient of Variation and Mean) of the bias corrected for four grid points of RCM simulated data match those of the observations. The bias corrected RCM simulated rainfall and temperature were found increasing from 1961 to 2100 and noticed that the warming will be more due to increase in minimum temperature rather than maximum temperature.
Copy the following to cite this article:
Bhatu H, Rank H. Climate Simulation Using RCM Data for Jamnagar District. Curr World Environ 2017;12(2). DOI:http://dx.doi.org/10.12944/CWE.12.2.25
Copy the following to cite this URL:
Bhatu H, Rank H. Climate Simulation Using RCM Data for Jamnagar District. Curr World Environ 2017;12(2). Available from: http://www.cwejournal.org/?p=17204
