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- A. K. Nayak
- A. P. Ramaraj
- C. K. Swain
- V. Geethalakshmi
- S. Pazhanivelan
- Rahul Tripathi
- N. S. Sudarmanian
- R. Mahender Kumar
- R. M. Sundaram
- P. Balasubramanian
- Sudhir Kumar Rajpoot
- N. Manikandan
- R. Jayakumara Varadan
- J. P. Singh
- Dibyendu Chatterjee
- Sumanta Chatterjee
- Santosha Rathod
- Anil Kumar Choudhary
- Adarsh Kumar
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Vijayakumar, S.
- Rainfall and Temperature Projections and their Impact Assessment Using CMIP5 Models under Different RCP Scenarios for The Eastern Coastal Region of India
Abstract Views :304 |
PDF Views:89
Authors
S. Vijayakumar
1,
A. K. Nayak
1,
A. P. Ramaraj
2,
C. K. Swain
1,
V. Geethalakshmi
3,
S. Pazhanivelan
3,
Rahul Tripathi
1,
N. S. Sudarmanian
3
Affiliations
1 ICAR-National Rice Research Institute, Cuttack 753 006, IN
2 International Crops Research Institute for the Semi-Arid Tropics, Hyderabad 502 324, IN
3 Tamil Nadu Agricultural University, Coimbatore 641 003, IN
1 ICAR-National Rice Research Institute, Cuttack 753 006, IN
2 International Crops Research Institute for the Semi-Arid Tropics, Hyderabad 502 324, IN
3 Tamil Nadu Agricultural University, Coimbatore 641 003, IN
Source
Current Science, Vol 121, No 2 (2021), Pagination: 222-232Abstract
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.Full Text
References
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- Remote sensing-based transformative crop insurance for rice
Abstract Views :213 |
PDF Views:88
Authors
Affiliations
1 ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad 500 030
2 Tamil Nadu Agricultural University, Coimbatore 641 003, India
1 ICAR-Indian Institute of Rice Research, Rajendranagar, Hyderabad 500 030
2 Tamil Nadu Agricultural University, Coimbatore 641 003, India
Source
Current Science, Vol 123, No 3 (2022), Pagination: 254-255Abstract
No Abstract.Full Text
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- Extreme Temperature and Rainfall Event Trends in the Middle Gangetic Plains From 1980 to 2018
Abstract Views :82 |
PDF Views:58
Authors
S. Vijayakumar
1,
Sudhir Kumar Rajpoot
2,
N. Manikandan
3,
R. Jayakumara Varadan
4,
J. P. Singh
2,
Dibyendu Chatterjee
5,
Sumanta Chatterjee
6,
Santosha Rathod
7,
Anil Kumar Choudhary
8,
Adarsh Kumar
9
Affiliations
1 ICAR-Indian Institute of Rice Research, Hyderabad 500 030, India; ICAR-National Rice Research Institute, Cuttack 753 006, India., IN
2 Institute of Agricultural Sciences, Banaras Hindu University, Varanasi 221 005, India., IN
3 ICAR-Central Research Institute for Dryland Agriculture, Hyderabad 500 059, India., IN
4 ICAR-Central Island Agricultural Research Institute, Port Blair, Andaman & Nicobar Islands 744 101, India., IN
5 ICAR-National Rice Research Institute, Cuttack 753 006, India., IN
6 University of Wisconsin-Madison, Madison, WI 53706, USA., US
7 ICAR-Indian Institute of Rice Research, Hyderabad 500 030, India., IN
8 ICAR-Central Potato Research Institute, Shimla 171 001, India; ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India., IN
9 ICAR-National Bureau of Agriculturally Important Microorganisms, Mau Nath Bhanjan 275 103, India., IN
1 ICAR-Indian Institute of Rice Research, Hyderabad 500 030, India; ICAR-National Rice Research Institute, Cuttack 753 006, India., IN
2 Institute of Agricultural Sciences, Banaras Hindu University, Varanasi 221 005, India., IN
3 ICAR-Central Research Institute for Dryland Agriculture, Hyderabad 500 059, India., IN
4 ICAR-Central Island Agricultural Research Institute, Port Blair, Andaman & Nicobar Islands 744 101, India., IN
5 ICAR-National Rice Research Institute, Cuttack 753 006, India., IN
6 University of Wisconsin-Madison, Madison, WI 53706, USA., US
7 ICAR-Indian Institute of Rice Research, Hyderabad 500 030, India., IN
8 ICAR-Central Potato Research Institute, Shimla 171 001, India; ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India., IN
9 ICAR-National Bureau of Agriculturally Important Microorganisms, Mau Nath Bhanjan 275 103, India., IN
Source
Current Science, Vol 124, No 11 (2023), Pagination: 1300-1307Abstract
Regional-level studies aimed at identifying and assessing various types of extreme weather events and comprehending their effects on various sectors are crucial. In the present study, we have utilized the RClimDex software to compute the trend in temperature and precipitation extreme events in the Varanasi district of Uttar Pradesh, India, from 1980 to 2018. We employed both Mann–Kendall test and linear regression to test the statistical significance of the computed trend. Out of 13 temperature indices, 8 showed a significant trend while the remaining showed a non-significant trend. The annual mean maximum temperature, warm days, diurnal temperature range and a monthly minimum of maximum temperature had decreased significantly by 0.029ºC, 0.159 days, 0.032ºC and 0.122ºC/yr respectively, whereas cool days and cold spell duration had increased significantly by 0.264ºC and 0.372 days/yr respectively, indicating an increased cooling effect over the study area. Similarly, out of the 11 rainfall indices, only two showed a significant trend, while the remaining showed a non-significant trend. The increasing drought over the study area is evident as the number of rainy days and consecutive wet days have decreased significantly by 0.262 days and 0.058 days/yr respectively, with a non-significant increase in consecutive dry days during the same period. The weak negative non-significant trend of a maximum of five consecutive days of rainfall, very heavy rainfall days and total annual precipitation indicate the decreasing trend of floods. This study stresses the development of adaptation plans to overcome the adverse consequences of extreme weather events in Varanasi district.Keywords
Adaptation Plans, Climate Change, Extreme Weather Events, Temperature and Rainfall, Statistical Significance, Trends.Full Text
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