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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/11465
Title: Evaluating the performance of RegCM4.0 climate model for climate change impact assessment on wheat and rice crop in diverse agro-climatic zones of Uttar Pradesh, India
Authors: Mall R.K.
Singh N.
Singh K.K.
Sonkar G.
Gupta, Akhilesh Kumar
Published in: Climatic Change
Abstract: The paper aims to explore the biasness in the RegCM climate model outputs for diverse agro-climatic zones of Uttar Pradesh, India, with emphasis on wheat (Rabi growing season) and rice (Kharif growing season) yields with and without bias correction using quantile mapping approach for the baseline period of 1971–2000. The result shows that RCM highly underestimated the maximum and minimum temperature. There exists a bias towards lower precipitation in annual and Kharif and higher in Rabi along with strikingly low intense warm (maximum temperature > 45 °C and 40 °C) and high cold events (maximum temperature < 20 °C and minimum temperature < 5 °C) in the RCM simulation and biased towards low extreme rainfall > 50 mm/day. Bias correction through quantile mapping approach, however, showed excellent agreement for annual and seasonal maximum and minimum temperature and satisfactory for extreme temperatures but drastically failed to correct rainfall. The study also quantified the biasness in the simulated potential, irrigated, and rainfed wheat and rice yield using DSSAT (Decision Support System for Agro-technology Transfer) crop model by employing observed, RCM baseline, and RCM baseline bias-corrected weather data. The grain yields of RCM-simulated wheat and rice were high while the bias-corrected yield has shown good agreement with corresponding observed yield. Future research must account for the development of more reliable RCM models and explicitly bias correction method in specific to complement future analysis. © 2018, Springer Nature B.V.
Citation: Climatic Change (2018), 149(43894): 503-515
URI: https://doi.org/10.1007/s10584-018-2255-6
http://repository.iitr.ac.in/handle/123456789/11465
Issue Date: 2018
Publisher: Springer Netherlands
Keywords: Bias correction
Climate change
DSSAT
Quantile mapping
RegCM4
Rice
Uttar Pradesh
Wheat
ISSN: 1650009
Author Scopus IDs: 8158084700
55257540000
57208749166
56197134600
55491955100
Author Affiliations: Mall, R.K., DST-Mahamana Centre of Excellence in Climate Change Research, Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi, 221005, India
Singh, N., DST-Mahamana Centre of Excellence in Climate Change Research, Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi, 221005, India
Singh, K.K., Agromet Division, India Meteorological Department, New Delhi, India
Sonkar, G., DST-Mahamana Centre of Excellence in Climate Change Research, Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi, 221005, India
Gupta, A., Department of Science and Technology, New Delhi, India
Funding Details: Funding information The authors thank the Climate Change Programme, Department of Science and Technology, New Delhi, for financial support.
Corresponding Author: Mall, R.K.; DST-Mahamana Centre of Excellence in Climate Change Research, Institute of Environment and Sustainable Development, Banaras Hindu UniversityIndia; email: mall_raj@rediffmail.com
Appears in Collections:Journal Publications [ME]

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