Projections of CMIP5 evaporation data sets under future climate change scenarios and comparison with estimates from the observations over peninsular India

Authors

  • G. PURNA DURGA Atmospheric Science Research Laboratory, Dept. of Physics, SRM Institute of Science and Technology, Kattankulathur, Tamil nadu
  • A. NAGA RAJESH Atmospheric Science Research Laboratory, Dept. of Physics, SRM Institute of Science and Technology, Kattankulathur, Tamil nadu
  • T.V. LAKSHMI KUMAR Atmospheric Science Research Laboratory, Dept. of Physics, SRM Institute of Science and Technology, Kattankulathur, Tamil nadu

DOI:

https://doi.org/10.54386/jam.v22i2.166

Keywords:

Projection, CMIP5, evaporation, climate change, scenarios, peninsular India

Abstract

Present study commences from the time series analysis of evaporation data sets obtained from the Coupled Modeled Inter comparison Project of Phase 5 (CMIP5) for the study period 1979 to 2100 under the RCP 4.5 and 8.5 emission scenarios over Interior Peninsular region during the Northeast monsoon (October to December) period. Further, a comparative analysis has been carried out with the evapotranspiration (ET) estimated from the Hargreaves and Samani (1982) using the temperature data of India Meteorological Department for the period 1979 to 2005. Our results show that evaporation trends are increasing with more prominence in RCP 8.5 scenario. This increase in evaporation has been attributed to increase in air temperature which is an undisputed fact under future climate change scenario. Different climate models of CMIP5 show mixed response by displaying the positive and negative correlations with the Hargreaves ET over the study region. The results of the study will be useful in understanding the bias between the modeled data sets and the estimates of ET from the observations.

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Published

01-06-2020

How to Cite

G. PURNA DURGA, A. NAGA RAJESH, & T.V. LAKSHMI KUMAR. (2020). Projections of CMIP5 evaporation data sets under future climate change scenarios and comparison with estimates from the observations over peninsular India. Journal of Agrometeorology, 22(2), 186–190. https://doi.org/10.54386/jam.v22i2.166

Issue

Vol. 22 No. 2 (2020): June

Section

Research Paper

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