Analysis of GCMs for prediction of precipitation for Hoshangabad region of Madhya Pradesh

Authors

  • ANKIT BALVANSHI Department of Civil Engineering, Maulana Azad National Institute of Technology, Bhopal 462003, Madhya Pradesh
  • H. L. TIWARI Department of Civil Engineering, Maulana Azad National Institute of Technology, Bhopal 462003, Madhya Pradesh

DOI:

https://doi.org/10.54386/jam.v20i4.570

Keywords:

General circulation model, MCDM, precipitation,, temperature,, TOPSIS

Abstract

Ten general circulation models (GCMs) – BCCR-BCCM2.0, Can-ESM2, CGCM3, CSIRO-Mk3.0, GFDL-CM2.0, GFDL-CM2.1, GISS, HADCM3, HADGEM1 and MIROC3.2 were analysed for prediction of precipitation for Hoshangabad region, Madhya Pradesh India. The performance indicator, skill score (SS),technique for order preference by similarity to an ideal solution (TOPSIS) techniques were employed for the selection of the best GCM. The multi-criterion decision making method (MCDM), technique TOPSIS was employed to evaluate and rank the 10 GCMs. On the basis of skill score and TOPSIS, GCMs Can- ESM2, CGCM3, GFDL2.0, HadCM3, MIROC3.2 is recommended for the study area. It is also found that GCMs CSIRO-Mk3.0 and GISS occupied the last two positions for Hoshangabad region, M.P., India. 

Downloads

Published

01-12-2018

How to Cite

ANKIT BALVANSHI, & H. L. TIWARI. (2018). Analysis of GCMs for prediction of precipitation for Hoshangabad region of Madhya Pradesh. Journal of Agrometeorology, 20(4), 302–304. https://doi.org/10.54386/jam.v20i4.570

Issue

Vol. 20 No. 4 (2018): December

Section

Research Paper

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

This is a human-readable summary of (and not a substitute for) the license. Disclaimer.

You are free to:

Share — copy and redistribute the material in any medium or format

Adapt — remix, transform, and build upon the material

The licensor cannot revoke these freedoms as long as you follow the license terms.

    Under the following terms:

    Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

    NonCommercial — You may not use the material for commercial purposes.

    ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.

    No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

    Notices:

    You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.

    No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.