Open Access Open Access  Restricted Access Subscription Access

Prediction of Drought – Risk Zones in Tamil Nadu Using Historical and Global Climate Model Data


Affiliations
1 Agro Climate Research Centre, Tamil Nadu Agricultural University, Coimbatore 641 003, India
2 Department of Environmental Science, Tamil Nadu Agricultural University, Coimbatore 641 003, India

Global climate change has increased the events and intensity of extreme events. Tamil Nadu is located in the southern peninsula region of India, which has benefitted both from the south-west monsoon (SWM) and the north-east monsoon (NEM). Although variations in the monsoon pattern increased events of drought. The IMD gridded (1991–2020) and projected global climate model data (EC_Earth3_Veg_LR) were used to anticipate the drought-risk-prone zones over Tamil Nadu by using the standardized precipitation index. During both the SSP245 and SSP585 scenarios of the near (2021–2050) and mid (2051–2080) century periods, an increase in rainfall amount was expected with a high coefficient of variation (CV) across the region. The CVs of the future SWM and NEM seasons were expected to range from 20% to 60% and 25% to 50% respectively. Increased variability often leads to an increase in number of drought events. Regardless of scenarios, the southern zone was expected to experience more drought events, followed by the northwestern zone during SWM. Drought events during the NEM were expected to increase in northeastern zone districts. Changes in cropping patterns and policymaking for future risk-prone areas were undertaken as a proactive response to mitigate potential agricultural challenges.

Keywords

Drought events, drought forecast, Indian Meteorological Department, standardized precipitation index.
User
Notifications
Font Size

Abstract Views: 2




  • Prediction of Drought – Risk Zones in Tamil Nadu Using Historical and Global Climate Model Data

Abstract Views: 2  | 

Authors

B. Santhoshkumar
Agro Climate Research Centre, Tamil Nadu Agricultural University, Coimbatore 641 003, India
N. K. Sathyamoorthy
Agro Climate Research Centre, Tamil Nadu Agricultural University, Coimbatore 641 003, India
V. Geethalakshmi
Agro Climate Research Centre, Tamil Nadu Agricultural University, Coimbatore 641 003, India
Ga Dheebakaran
Agro Climate Research Centre, Tamil Nadu Agricultural University, Coimbatore 641 003, India
K. Boomiraj
Department of Environmental Science, Tamil Nadu Agricultural University, Coimbatore 641 003, India
N. Manikandan
Agro Climate Research Centre, Tamil Nadu Agricultural University, Coimbatore 641 003, India
M. Selva Kumar
Agro Climate Research Centre, Tamil Nadu Agricultural University, Coimbatore 641 003, India

Abstract


Global climate change has increased the events and intensity of extreme events. Tamil Nadu is located in the southern peninsula region of India, which has benefitted both from the south-west monsoon (SWM) and the north-east monsoon (NEM). Although variations in the monsoon pattern increased events of drought. The IMD gridded (1991–2020) and projected global climate model data (EC_Earth3_Veg_LR) were used to anticipate the drought-risk-prone zones over Tamil Nadu by using the standardized precipitation index. During both the SSP245 and SSP585 scenarios of the near (2021–2050) and mid (2051–2080) century periods, an increase in rainfall amount was expected with a high coefficient of variation (CV) across the region. The CVs of the future SWM and NEM seasons were expected to range from 20% to 60% and 25% to 50% respectively. Increased variability often leads to an increase in number of drought events. Regardless of scenarios, the southern zone was expected to experience more drought events, followed by the northwestern zone during SWM. Drought events during the NEM were expected to increase in northeastern zone districts. Changes in cropping patterns and policymaking for future risk-prone areas were undertaken as a proactive response to mitigate potential agricultural challenges.

Keywords


Drought events, drought forecast, Indian Meteorological Department, standardized precipitation index.



DOI: https://doi.org/10.18520/cs%2Fv127%2Fi3%2F340-351