Monsoon-driven cloud cover and widespread rain or thundershowers across Uttar Pradesh are suppressing daytime heating in Lucknow, positioning 30°C as the leading market outcome at 38.5% implied probability. Official IMD guidance and multiple forecast models indicate an overcast sky with scattered rain on September 2, keeping maximum temperatures near or slightly below the seasonal average of roughly 31–32°C after recent below-normal readings of 30.7°C on September 1. This setup favors the tight cluster around 29–31°C (collectively over 84% probability), while lower odds on 32°C or higher reflect limited potential for clearing skies and stronger insolation before the next frontal passage. Updated model runs and IMD briefings remain the key near-term catalysts for any probability shifts.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten. Dies ist keine Handelsberatung und spielt keine Rolle bei der Auflösung dieses Marktes. · AktualisiertHöchste Temperatur in Lucknow am 2. September?
Höchste Temperatur in Lucknow am 2. September?
30°C 39%
31°C 29%
29°C 18%
32°C 8%
NEU
NEU
2. Sep. 2026
23°C or below
<1%
24°C
<1%
25°C
<1%
26°C
1%
27°C
1%
28°C
4%
29°C
18%
30°C
39%
31°C
29%
32°C
8%
33°C or higher
2%
30°C 39%
31°C 29%
29°C 18%
32°C 8%
NEU
NEU
2. Sep. 2026
23°C or below
$101 Vol.
<1%
24°C
$111 Vol.
<1%
25°C
$376 Vol.
<1%
26°C
$254 Vol.
1%
27°C
$294 Vol.
1%
28°C
$778 Vol.
4%
29°C
$212 Vol.
18%
30°C
$446 Vol.
39%
31°C
$1,222 Vol.
29%
32°C
$243 Vol.
8%
33°C or higher
$237 Vol.
2%
This market will resolve to the temperature range that contains the highest temperature recorded by NOAA at the Chaudhary Charan Singh Intl Airport Station in degrees Celsius on 2 Sep '26.
The resolution source for this market will be information from NOAA, specifically the highest reading under the "Temp" column for all times on this day, available here: https://www.weather.gov/wrh/timeseries?site=vilk
If NOAA data for the observation date is unavailable by 11:59 PM ET on the day following the observation date, the Weather Underground Daily Observations table will be used as the resolution source.
In the event which there is no data for the observation date by 11:59 PM ET on the day following the observation date, this market will resolve to the lowest bracket.
To toggle between Fahrenheit and Celsius, click the "Switch to Metric Units" button until the relevant table displays °C.
This market can not resolve until the first data point for the following date has been published on the resolution source.
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.
Revisions to temperatures recorded within this market's timeframe will be considered until the first datapoint for the following date has been published, after which any alterations will not be considered.Monsoon-driven cloud cover and widespread rain or thundershowers across Uttar Pradesh are suppressing daytime heating in Lucknow, positioning 30°C as the leading market outcome at 38.5% implied probability. Official IMD guidance and multiple forecast models indicate an overcast sky with scattered rain on September 2, keeping maximum temperatures near or slightly below the seasonal average of roughly 31–32°C after recent below-normal readings of 30.7°C on September 1. This setup favors the tight cluster around 29–31°C (collectively over 84% probability), while lower odds on 32°C or higher reflect limited potential for clearing skies and stronger insolation before the next frontal passage. Updated model runs and IMD briefings remain the key near-term catalysts for any probability shifts.
This market will resolve to the temperature range that contains the highest temperature recorded by NOAA at the Chaudhary Charan Singh Intl Airport Station in degrees Celsius on 2 Sep '26.
The resolution source for this market will be information from NOAA, specifically the highest reading under the "Temp" column for all times on this day, available here: https://www.weather.gov/wrh/timeseries?site=vilk
If NOAA data for the observation date is unavailable by 11:59 PM ET on the day following the observation date, the Weather Underground Daily Observations table will be used as the resolution source.
In the event which there is no data for the observation date by 11:59 PM ET on the day following the observation date, this market will resolve to the lowest bracket.
To toggle between Fahrenheit and Celsius, click the "Switch to Metric Units" button until the relevant table displays °C.
This market can not resolve until the first data point for the following date has been published on the resolution source.
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.
Revisions to temperatures recorded within this market's timeframe will be considered until the first datapoint for the following date has been published, after which any alterations will not be considered.
The resolution source for this market will be information from NOAA, specifically the highest reading under the "Temp" column for all times on this day, available here: https://www.weather.gov/wrh/timeseries?site=vilk
If NOAA data for the observation date is unavailable by 11:59 PM ET on the day following the observation date, the Weather Underground Daily Observations table will be used as the resolution source.
In the event which there is no data for the observation date by 11:59 PM ET on the day following the observation date, this market will resolve to the lowest bracket.
To toggle between Fahrenheit and Celsius, click the "Switch to Metric Units" button until the relevant table displays °C.
This market can not resolve until the first data point for the following date has been published on the resolution source.
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.
Revisions to temperatures recorded within this market's timeframe will be considered until the first datapoint for the following date has been published, after which any alterations will not be considered.
Markt eröffnet: Aug 31, 2026, 12:56 AM ET
Volumen
$4,274Enddatum
2. Sep. 2026Markt eröffnet
Aug 31, 2026, 12:56 AM ETAbwicklungsquelle
https://www.weather.gov/wrh/timeseries?site=vilkAbwickler
0x69c47De9D...This market will resolve to the temperature range that contains the highest temperature recorded by NOAA at the Chaudhary Charan Singh Intl Airport Station in degrees Celsius on 2 Sep '26.
The resolution source for this market will be information from NOAA, specifically the highest reading under the "Temp" column for all times on this day, available here: https://www.weather.gov/wrh/timeseries?site=vilk
If NOAA data for the observation date is unavailable by 11:59 PM ET on the day following the observation date, the Weather Underground Daily Observations table will be used as the resolution source.
In the event which there is no data for the observation date by 11:59 PM ET on the day following the observation date, this market will resolve to the lowest bracket.
To toggle between Fahrenheit and Celsius, click the "Switch to Metric Units" button until the relevant table displays °C.
This market can not resolve until the first data point for the following date has been published on the resolution source.
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.
Revisions to temperatures recorded within this market's timeframe will be considered until the first datapoint for the following date has been published, after which any alterations will not be considered.Monsoon-driven cloud cover and widespread rain or thundershowers across Uttar Pradesh are suppressing daytime heating in Lucknow, positioning 30°C as the leading market outcome at 38.5% implied probability. Official IMD guidance and multiple forecast models indicate an overcast sky with scattered rain on September 2, keeping maximum temperatures near or slightly below the seasonal average of roughly 31–32°C after recent below-normal readings of 30.7°C on September 1. This setup favors the tight cluster around 29–31°C (collectively over 84% probability), while lower odds on 32°C or higher reflect limited potential for clearing skies and stronger insolation before the next frontal passage. Updated model runs and IMD briefings remain the key near-term catalysts for any probability shifts.
This market will resolve to the temperature range that contains the highest temperature recorded by NOAA at the Chaudhary Charan Singh Intl Airport Station in degrees Celsius on 2 Sep '26.
The resolution source for this market will be information from NOAA, specifically the highest reading under the "Temp" column for all times on this day, available here: https://www.weather.gov/wrh/timeseries?site=vilk
If NOAA data for the observation date is unavailable by 11:59 PM ET on the day following the observation date, the Weather Underground Daily Observations table will be used as the resolution source.
In the event which there is no data for the observation date by 11:59 PM ET on the day following the observation date, this market will resolve to the lowest bracket.
To toggle between Fahrenheit and Celsius, click the "Switch to Metric Units" button until the relevant table displays °C.
This market can not resolve until the first data point for the following date has been published on the resolution source.
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.
Revisions to temperatures recorded within this market's timeframe will be considered until the first datapoint for the following date has been published, after which any alterations will not be considered.
The resolution source for this market will be information from NOAA, specifically the highest reading under the "Temp" column for all times on this day, available here: https://www.weather.gov/wrh/timeseries?site=vilk
If NOAA data for the observation date is unavailable by 11:59 PM ET on the day following the observation date, the Weather Underground Daily Observations table will be used as the resolution source.
In the event which there is no data for the observation date by 11:59 PM ET on the day following the observation date, this market will resolve to the lowest bracket.
To toggle between Fahrenheit and Celsius, click the "Switch to Metric Units" button until the relevant table displays °C.
This market can not resolve until the first data point for the following date has been published on the resolution source.
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.
Revisions to temperatures recorded within this market's timeframe will be considered until the first datapoint for the following date has been published, after which any alterations will not be considered.
Volumen
$4,274Enddatum
2. Sep. 2026Markt eröffnet
Aug 31, 2026, 12:56 AM ETAbwicklungsquelle
https://www.weather.gov/wrh/timeseries?site=vilkAbwickler
0x69c47De9D...Monsoon-driven cloud cover and widespread rain or thundershowers across Uttar Pradesh are suppressing daytime heating in Lucknow, positioning 30°C as the leading market outcome at 38.5% implied probability. Official IMD guidance and multiple forecast models indicate an overcast sky with scattered rain on September 2, keeping maximum temperatures near or slightly below the seasonal average of roughly 31–32°C after recent below-normal readings of 30.7°C on September 1. This setup favors the tight cluster around 29–31°C (collectively over 84% probability), while lower odds on 32°C or higher reflect limited potential for clearing skies and stronger insolation before the next frontal passage. Updated model runs and IMD briefings remain the key near-term catalysts for any probability shifts.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten. Dies ist keine Handelsberatung und spielt keine Rolle bei der Auflösung dieses Marktes. · Aktualisiert
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