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Prioritization of global climate models using fuzzy analytic hierarchy process and reliability index

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Abstract

Climate scenarios derived from the global climate models (GCMs) are used for climate change impact studies in several sectors including agriculture, hydrological, and health. Globally, more than 50 climate models exist and choosing suitable models based on reproducibility of observed weather for a study region is a challenging task. This step is important to reduce uncertainty. This study compared the simulation performance of 12 global climate models for temperatures and rainfall in past 30 years over Indian region. For this, Priority index from Fuzzy Analytic Hierarchy Process (FAHP) and Reliability index were used and both methods were compared. Study revealed all 12 models overestimated minimum and maximum temperatures in most regions of India, which resulted in hot bias especially in northern region. However, models showed significant cold bias for the Himalayan region. In general, simulated rainfall was underestimated by many GCMs. The analysis indicated that FAHP method is good to shortlist GCMs based on their spatial and temporal performance in reproducing observed weather. Among 12 models, NORESM1 model has performed better in reproducing maximum temperature. The IPSL-LR, FIO-ESM, GFDL-CM3, and MIROC5 models have performed better for minimum temperature. In case of rainfall, CSIRO, MIROC5, HADGEM2, GFDL-ESM 2 M, and IPSL-LR have performed better as compared to other models.

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Acknowledgements

We gratefully acknowledge all the CMIP5 modelers and Indian Meteorological Department (IMD), New Delhi, for providing data sets for this work.

Funding

This study received financial grants provided by National Innovations on Climate Resilient Agriculture (NICRA), Indian Council of Agricultural Research, New Delhi.

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Authors and Affiliations

  1. Centre for Environment Science and Climate Resilient Agriculture, Indian Agricultural Research Institute, New Delhi, 110 012, India

    Shweta Panjwani & S. Naresh Kumar

  2. AmityInstitute of Information Technology, Amity University, Noida, Uttar Pradesh, India

    Laxmi Ahuja

  3. KAB-II, ICAR, New Delhi, 110012, India

    Adlul Islam

Authors
  1. Shweta Panjwani
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  2. S. Naresh Kumar
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  3. Laxmi Ahuja
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  4. Adlul Islam
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Correspondence to S. Naresh Kumar.

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Panjwani, S., Naresh Kumar, S., Ahuja, L. et al. Prioritization of global climate models using fuzzy analytic hierarchy process and reliability index. Theor Appl Climatol 137, 2381–2392 (2019). https://doi.org/10.1007/s00704-018-2707-y

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  • DOI: https://doi.org/10.1007/s00704-018-2707-y

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