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<p>Heat stress (HS) severely impacts crop yields, livestock, and livelihoods, sometimes resulting in fatalities. The objective of the current study is to employ high-resolution Real-Time Meso-scale Analysis (RTMA) to analyze the HS and heatwave (HW) conditions in four HW regions of India from 15<sup>th</sup> to 30<sup>th</sup> April 2024. The analysis of large-scale atmospheric circulations and teleconnections using various observations/reanalysis products indicates that an anomalous anti-cyclone over the Indo-western Pacific regions has reduced cloud cover and increased shortwave radiation, resulting in HW conditions over Southeast Asia. The spatial and regional verification of RTMA maximum temperatures (T<sub>max</sub>) displays high accuracy with errors, as minimum as 0.05&#xa0;°C against the GLDAS. In addition, it has demonstrated the value addition in capturing the IMD’s reported highest daily T<sub>max</sub> at various locations compared to the background simulation. Two metrics, Heat Index (HI) and Wet Bulb Globe Temperature (WBGT) are employed to quantify HS. The RTMA-simulated HI (shaded regions) is found to be at extreme caution to danger level and WBGT (direct sunlight) recommends moderate work hours to complete rest cycles during the HW period. The HS parameters obtained from RTMA showed their potential to generate spatial variations with greater precision than the first guess. The comparison of HS and sunstroke mortality in the HW regions of Odisha indicates that heat-induced mortality can be mitigated by implementing adaptation strategies and increased awareness. Therefore, the RTMA final analysis fields are highly applicable for real-time HS alerts in various sectors, particularly for farmers and outdoor workers exposed to direct sunlight.</p>

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Heat stress analysis using RTMA over heatwave regions in India

  • 期刊论文

  • 发表日期：

    2025年10月29日

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  • Ch. Sridevi,
  • M. V. S. Ramarao,
  • Ashish Routray,
  • B. Tarakesh Lakshman,
  • K. B. R. R. Hari Prasad,
  • Suryakanti Dutta,
  • D. Srinivas,
  • Edward Colón,
  • Annette Gibbs,
  • Manuel Pondeca,
  • V. S. Prasad

摘要

Heat stress (HS) severely impacts crop yields, livestock, and livelihoods, sometimes resulting in fatalities. The objective of the current study is to employ high-resolution Real-Time Meso-scale Analysis (RTMA) to analyze the HS and heatwave (HW) conditions in four HW regions of India from 15th to 30th April 2024. The analysis of large-scale atmospheric circulations and teleconnections using various observations/reanalysis products indicates that an anomalous anti-cyclone over the Indo-western Pacific regions has reduced cloud cover and increased shortwave radiation, resulting in HW conditions over Southeast Asia. The spatial and regional verification of RTMA maximum temperatures (Tmax) displays high accuracy with errors, as minimum as 0.05 °C against the GLDAS. In addition, it has demonstrated the value addition in capturing the IMD’s reported highest daily Tmax at various locations compared to the background simulation. Two metrics, Heat Index (HI) and Wet Bulb Globe Temperature (WBGT) are employed to quantify HS. The RTMA-simulated HI (shaded regions) is found to be at extreme caution to danger level and WBGT (direct sunlight) recommends moderate work hours to complete rest cycles during the HW period. The HS parameters obtained from RTMA showed their potential to generate spatial variations with greater precision than the first guess. The comparison of HS and sunstroke mortality in the HW regions of Odisha indicates that heat-induced mortality can be mitigated by implementing adaptation strategies and increased awareness. Therefore, the RTMA final analysis fields are highly applicable for real-time HS alerts in various sectors, particularly for farmers and outdoor workers exposed to direct sunlight.