India Meteorological Department (IMD) forecasts a maximum temperature of 37°C in Lucknow on May 3, 2026, with thunderstorms and rain likely, driving trader consensus toward moderate outcomes like 37–38°C at around 35% implied probability each. This cooling from recent highs—39.9°C on April 30 and a projected 41°C on May 1—stems from increased cloud cover and convective activity suppressing solar insolation and promoting evaporative cooling during the pre-monsoon transition. The 50% market-implied odds for 34°C or below reflect uncertainty in rainfall intensity, as heavier precipitation could cap peaks lower, while clearer conditions might push toward 39–41°C (35% each). IMD's next local bulletin on May 2 will provide updated model guidance amid inherent short-term forecast variability.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado¿La temperatura más alta en Lucknow el 3 de mayo?
¿La temperatura más alta en Lucknow el 3 de mayo?
34°C o menos 42%
35°C 22%
36°C 19%
37°C 16%
34°C o menos
42%
35°C
22%
36°C
19%
37°C
16%
38°C
2%
39°C
1%
40°C
1%
41°C
1%
42°C
<1%
43°C
<1%
44°C o más
<1%
34°C o menos 42%
35°C 22%
36°C 19%
37°C 16%
34°C o menos
42%
35°C
22%
36°C
19%
37°C
16%
38°C
2%
39°C
1%
40°C
1%
41°C
1%
42°C
<1%
43°C
<1%
44°C o más
<1%
The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day by the Forecast for the Chaudhary Charan Singh Intl Airport Station once information is finalized, available here: https://www.wunderground.com/history/daily/in/lucknow/VILK.
To toggle between Fahrenheit and Celsius, click the gear icon next to the search bar and switch the Temperature setting between °F and °C.
This market can not resolve to "Yes" until all data for this date has been finalized.
The resolution source for this market measures temperatures to whole degrees Celsius (eg, 9°C). Thus, this is the level of precision that will be used when resolving the market.
Any revisions to temperatures recorded after data is finalized for this market's timeframe will not be considered for this market's resolution.
Mercado abierto: May 1, 2026, 12:07 AM ET
Fuente de resolución
https://www.wunderground.com/history/daily/in/lucknow/VILKResolver
0x69c47De9D...The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day by the Forecast for the Chaudhary Charan Singh Intl Airport Station once information is finalized, available here: https://www.wunderground.com/history/daily/in/lucknow/VILK.
To toggle between Fahrenheit and Celsius, click the gear icon next to the search bar and switch the Temperature setting between °F and °C.
This market can not resolve to "Yes" until all data for this date has been finalized.
The resolution source for this market measures temperatures to whole degrees Celsius (eg, 9°C). Thus, this is the level of precision that will be used when resolving the market.
Any revisions to temperatures recorded after data is finalized for this market's timeframe will not be considered for this market's resolution.
Fuente de resolución
https://www.wunderground.com/history/daily/in/lucknow/VILKResolver
0x69c47De9D...India Meteorological Department (IMD) forecasts a maximum temperature of 37°C in Lucknow on May 3, 2026, with thunderstorms and rain likely, driving trader consensus toward moderate outcomes like 37–38°C at around 35% implied probability each. This cooling from recent highs—39.9°C on April 30 and a projected 41°C on May 1—stems from increased cloud cover and convective activity suppressing solar insolation and promoting evaporative cooling during the pre-monsoon transition. The 50% market-implied odds for 34°C or below reflect uncertainty in rainfall intensity, as heavier precipitation could cap peaks lower, while clearer conditions might push toward 39–41°C (35% each). IMD's next local bulletin on May 2 will provide updated model guidance amid inherent short-term forecast variability.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado
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Cuidado con los enlaces externos.
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