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Rainfall and Temperature Projections and their Impact Assessment Using CMIP5 Models under Different RCP Scenarios for The Eastern Coastal Region of India


Affiliations
1 ICAR-National Rice Research Institute, Cuttack 753 006, India
2 International Crops Research Institute for the Semi-Arid Tropics, Hyderabad 502 324, India
3 Tamil Nadu Agricultural University, Coimbatore 641 003, India
 

Trend analysis of annual rainfall over the coastal districts of Odisha, India showed statistically nonsignificant increasing trend in all districts, except Ganjam. Whereas the maximum and minimum temperature showed significant increasing trend. Warming in these districts is mainly due to increasing minimum temperature during summer and rainy season, and maximum temperature during winter. Future climate projection results revealed, the annual mean rainfall is expected to change by 0.1–2.2%, –0.3–0.7% and 1.5–3.2% (RCP 4.5), and 3.6–7.9%, 3.7–6.6% and 8.5–14% (RCP 8.5) during the near (2011–39), mid (2040–69) and late (2070–99) centuries respectively. Anticipate climate change will have a marginal impact on total rainfall, and a major impact on its distribution. The annual mean minimum temperature is expected to increase by 0.60–0.73°C, 0.71–0.88°C, 1.20–1.42°C (RCP 4.5), and 1.77–2.14°C, 1.56–1.68°C, 3.06–3.73°C (RCP 8.5) during near, mid and late centuries respectively. Similarly, the annual mean maximum temperature is expected to increase by 0.61–0.66°C, 0.68–0.72°C and 1.35–1.55°C (RCP 4.5), and 1.79–1.97°C, 1.73–2.01°C and 3.08–3.44°C (RCP 8.5) during near, mid and late centuries respectively. Season-wise projection revealed that the change in rainfall and temperature is expected to be more in winter and summer under both the RCP scenarios. The projected future climate change will have both positive and negative impacts on agriculture. The negative impacts are expected to be more pronounced during kharif in comparison to rabi.

Keywords

Climate Projection, Coastal Districts, Rainfall, Temperature, Trend Analysis.
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  • GOI, Agricultural statistics at a glance, Government of India Ministry of Agriculture and Farmers Welfare Department of Agriculture, Cooperation and Farmers Welfare, Directorate of Economics and Statistics. Government of India, New Delhi, 2009.

  • GOI, Report on status of ground water quality in coastal aquifers of India, Government of India, Ministry of water resources, Central Ground Water Board, Faridabad, 2014, pp. 1–130.

  • Patnaik, U., Das, P. K. and Bahinipati, C. S., Analyzing vulnerability to climatic variability and extremes in the coastal districts of Odisha, India. Rev. Dev. Change, 2013, 18, 173–189.

  • IPCC, Change, IPOC, Climate change 2007: The physical science basis: Summary for policymakers. Geneva, IPCC, 2007.

  • Dupuis, I. and Dumas, C., Influence of temperature stress on in vitro fertilization and heat shock protein synthesis in maize (Zea mays L.) reproductive tissues. Plant Physiol., 1990, 94(2), 665–670.

  • Kim, H. Y., Horie, T., Nakagawa, H. and Wada, K., Effects of elevated CO2 concentration and high temperature on growth and yield of rice: II. The effect on yield and its components of Akihikari rice. Jpn. J. Crop Sci., 1996, 65(4), 644–651.

  • Barlow, K. M., Christy, B. P., O’leary, G. J., Riffkin, P. A. and Nuttall, J. G., Simulating the impact of extreme heat and frost events on wheat crop production: a review. Field Crops Res., 2015, 171, 109–119.

  • Venkateswarlu, B. and Prasad, J. V. N. S., Carrying capacity of Indian Agriculture: issues related to rainfed farming. Curr. Sci., 2012, 102(6), 882–888.

  • Mishra, P. K., Socio-economic impacts of climate change in Odisha: issues, challenges and policy options. Am. J. Clim. Change, 2017, 3(1), 93–107.

  • Jena, P. P., Climate change and its worst effect on coastal Odisha – an overview of its impact in Jagatsinghpur district. IOSR J. Humanities Soc. Sci., 2018, 23, 1–15.

  • Singh, B. R. and Singh, O., Study of impacts of global warming on climate change: rise in sea level and disaster frequency. Global warming – impacts and future perspective, 2012.

  • Taylor, K. E., Stouffer, R. J. and Meehl, G. A., An overview of CMIP5 and the experiment design. Bull. Am. Meteorol. Soc., 2012, 93, 485–498.

  • Meehl, G. A. et al., Decadal prediction: can it be skillful? Bull. Am. Meteorol. Soc., 2009, 90, 1467–1486.

  • Taylor, K., Stouffer, R. and Meehl, G., A summary of the CMIP5 experiment design, Program for Climate Model Diagnosis and Intercomparison (PCMDI), 2011.

  • Ramaraj, A., Geethalakshmi, V. and Bhuvaneswari, K., Understanding the uncertainty cascaded in climate change projections for agricultural decision making. Mausam, 2017, 68, 223–234.

  • Jena, P., Azad, S. and Rajeevan, M. N., CMIP5 projected changes in the annual cycle of Indian monsoon rainfall. Climate, 2016, 4, 14.

  • Moss, R. H. et al., The next generation of scenarios for climate change research and assessment. Nature, 2010, 463, 747–756.

  • Mishra, S. K., Sahany, S., Salunke, P., Kang, I. S. and Jain, S., Fidelity of CMIP5 multi-model mean in assessing Indian monsoon simulations. Npj Climate Atmos. Sci., 2018, 1(1), 1–8.

  • Rosenzweig, C. et al., The agricultural model intercomparison and improvement project (AgMIP): protocols and pilot studies. Agric. Forest Meteorol., 2013, 170, 166–182.

  • Ramaraj, A. P. and Geethalakshmi, V., Analysing the uncertainty in climate projected by RCP 4.5 over Coimbatore. Ecol., Environ. Conserv., 2014, 20(3), 125–128.

  • Chiew, F. H. S. and Siriwardena, L., Estimation of SIMHYD Parameter Values for Application in Ungauged Catchments 1, 2005.

  • Wahid, A., Gelani, S., Ashraf, M. and Foolad, M. R., Heat tolerance in plants: an overview. Environ. Exp. Bot., 2007, 61, 199– 223.

  • Pathak, A., Pathak, P. and Sharma, K., Recent development in Boro rice improvement and production for raising rice yield in Assam. Boro Rice IRRI-India Office, New Delhi, 2003.

  • Jagadish, S., Muthurajan, R., Oane, R., Wheeler, T. R., Heuer, S., Bennett, J. and Craufurd, P. Q., Physiological and proteomic approaches to address heat tolerance during anthesis in rice (Oryza sativa l). J. Exp. Bot., 2010, 61, 143–156.

  • Lele, U., Food Security for a Billion Poor, American Association for the Advancement of Science, 2010.

  • Bahuguna, R. N., Jha, J., Pal, M., Shah, D., Lawas, L. M., Khetarpal, S. and Jagadish, K. S., Physiological and biochemical characterization of nerica‐l‐44: A novel source of heat tolerance at the vegetative and reproductive stages in rice. Physiol. Plant., 2015, 154, 543–559.

  • Matsui, T., Namuco, O. S., Ziska, L. H. and Horie, T., Effects of high temperature and CO2 concentration on spikelet sterility in indica rice. Field Crops Res., 1997, 51, 213–219.

  • Xie, X., Li, B., Li, Y. and Shen, S., High temperature harm at flowering in Yangtze river basin in recent 55 years. Jiangsu J. Agric. Sci., 2009, 25, 28–32.

  • Lin, C.-J., Li, C.-Y., Lin, S.-K., Yang, F.-H., Huang, J.-J., Liu, Y.H. and Lur, H.-S., Influence of high temperature during grain filling on the accumulation of storage proteins and grain quality in rice (Oryza sativa l). J. Agric. Food Chem., 2010, 58, 10545– 10552.

  • Rani, B. A. and Maragatham, N., Effect of elevated temperature on rice phenology and yield. Indian J. Sci. Technol., 2013, 6, 5095–5097.

  • Ahmed, N. et al., Effect of high temperature on grain filling period, yield, amylose content and activity of starch biosynthesis enzymes in endosperm of basmati rice. J. Sci. Food Agric., 2015, 95, 2237–2243.

  • Yoshida, S., Fundamentals of rice crop science. Int. Rice Res. Inst., 1981, pp. 1–279.

  • Prasad, P., Boote, K., Allen Jr, L., Sheehy, J. and Thomas, J., Species, ecotype and cultivar differences in spikelet fertility and harvest index of rice in response to high temperature stress. Field Crops Res., 2006, 95, 398–411.

  • Chaturvedi, A. K., Bahuguna, R. N., Shah, D., Pal, M. and Jagadish, S. K., High temperature stress during flowering and grain filling offsets beneficial impact of elevated CO2 on assimilate partitioning and sink-strength in rice. Sci. Rep., 2017, 7, 1–13.

  • Zhang, B., Zheng, J., Huang, S., Tian, Y., Peng, L., Bian, X. and Zhang, W., Temperature differences of air-rice plant under different irrigated water depths at spiking stage. J. Appl. Ecol., 2008, 19, 87–92.

  • Khan, S. et al., Mechanisms and adaptation strategies to improve heat tolerance in rice. A review. Plants, 2019, 8, 508.

  • Kumar, P., Geneletti, D. and Nagendra, H., Spatial assessment of climate change vulnerability at city scale: a study in Bangalore, India. Land Use Policy, 2016, 58, 514–532.

  • Mishra, A. K. and Singh, V. P., Drought modelling – a review. J. Hydrol., 2011, 403(1–2), 157–175.

  • Khichar, M. L. and Niwas, R., Thermal effect on growth and yield of wheat under different sowing environments and planting systems. Indian J. Agric. Res., 2007, 41, 92–96.

  • Al-Karaki, G. N., Phenological development-yield relationships in durum wheat cultivars under late-season high-temperature stress in a semiarid environment. Int. Scholarly Res. Network, 2012, 2012, 1–7; doi:10.5402/2012/456856.

  • Das, R., Ali, M. E., Abd Hamid, S. B., Ramakrishna, S. and Chowdhury, Z. Z., Carbon nanotube membranes for water purification: a bright future in water desalination. Desalination, 2014, 336, 97–109.


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  • Rainfall and Temperature Projections and their Impact Assessment Using CMIP5 Models under Different RCP Scenarios for The Eastern Coastal Region of India

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Authors

S. Vijayakumar
ICAR-National Rice Research Institute, Cuttack 753 006, India
A. K. Nayak
ICAR-National Rice Research Institute, Cuttack 753 006, India
A. P. Ramaraj
International Crops Research Institute for the Semi-Arid Tropics, Hyderabad 502 324, India
C. K. Swain
ICAR-National Rice Research Institute, Cuttack 753 006, India
V. Geethalakshmi
Tamil Nadu Agricultural University, Coimbatore 641 003, India
S. Pazhanivelan
Tamil Nadu Agricultural University, Coimbatore 641 003, India
Rahul Tripathi
ICAR-National Rice Research Institute, Cuttack 753 006, India
N. S. Sudarmanian
Tamil Nadu Agricultural University, Coimbatore 641 003, India

Abstract


Trend analysis of annual rainfall over the coastal districts of Odisha, India showed statistically nonsignificant increasing trend in all districts, except Ganjam. Whereas the maximum and minimum temperature showed significant increasing trend. Warming in these districts is mainly due to increasing minimum temperature during summer and rainy season, and maximum temperature during winter. Future climate projection results revealed, the annual mean rainfall is expected to change by 0.1–2.2%, –0.3–0.7% and 1.5–3.2% (RCP 4.5), and 3.6–7.9%, 3.7–6.6% and 8.5–14% (RCP 8.5) during the near (2011–39), mid (2040–69) and late (2070–99) centuries respectively. Anticipate climate change will have a marginal impact on total rainfall, and a major impact on its distribution. The annual mean minimum temperature is expected to increase by 0.60–0.73°C, 0.71–0.88°C, 1.20–1.42°C (RCP 4.5), and 1.77–2.14°C, 1.56–1.68°C, 3.06–3.73°C (RCP 8.5) during near, mid and late centuries respectively. Similarly, the annual mean maximum temperature is expected to increase by 0.61–0.66°C, 0.68–0.72°C and 1.35–1.55°C (RCP 4.5), and 1.79–1.97°C, 1.73–2.01°C and 3.08–3.44°C (RCP 8.5) during near, mid and late centuries respectively. Season-wise projection revealed that the change in rainfall and temperature is expected to be more in winter and summer under both the RCP scenarios. The projected future climate change will have both positive and negative impacts on agriculture. The negative impacts are expected to be more pronounced during kharif in comparison to rabi.

Keywords


Climate Projection, Coastal Districts, Rainfall, Temperature, Trend Analysis.

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DOI: https://doi.org/10.18520/cs%2Fv121%2Fi2%2F222-232