दिल्ली में आज दस्तक देगा मानसून, गर्मी का पारा 44.3 डिग्री पर

IO_AdminUncategorized3 weeks ago28 Views

Quick Summary

  • The monsoon’s arrival in Delhi has been delayed despite favorable conditions for the last three days.
  • According to the Indian meteorological Department (IMD), the monsoon reached parts of western Uttar Pradesh, Punjab, Chandigarh, Himachal Pradesh, and Jammu on Tuesday. It is expected to cover Rajasthan, Punjab, Haryana, Delhi, and remaining parts of western Uttar Pradesh by Wednesday.
  • Due to a lack of rain, Delhi residents are experiencing uncomfortable humidity combined with high temperatures. On Tuesday:

– “Feel like” temperature went up to 44.3°C.
– Maximum temperature recorded was 36.1°C (2.5°C below normal).
– Minimum temperature was 28.2°C (0.2°C above normal).
– Humidity ranged between 66% and 91%.

  • IMD forecasts cloudy skies with light-to-moderate rainfall for Delhi on Wednesday alongside winds at speeds of 30-40 km/h; maximum temperature may be around 34°C and minimum about 27°C.
  • From June 26-30: cloudy skies remain likely with light showers during this period; maximum temperatures may vary between 33-36°C and minimum between 25-28°C.

Indian Opinion Analysis
The delayed monsoon in Delhi highlights increasing variability in seasonal weather patterns that could have broader implications for agricultural planning and urban infrastructure management across North India-a region already witnessing heat stress due to high humidity levels coupled with elevated “feel-like” temperatures beyond standard readings.

While temporary relief is forecasted through potential rains over the coming week along with lower daytime highs compared to earlier weeks, it underscores how dependent city dynamics-including water scarcity mitigation efforts-can become sidelined without robust forecasting or contingency frameworks against prolonged weather irregularities affecting peak human comfort zones amidst overcrowded megacity ecology needing shared-resilience models/mindsets stepping over sub-par functionaries datum lacks’d foresight capacities insights fullness fields ‘across–progress metrics constraints liable-bound analytical scrutiny-focused seems data-opt underpin/context maximise-policyיז…

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