Recent India Meteorological Department outlooks and model consensus for Lucknow on September 14 point to a daytime maximum near 31–34 °C amid weakening monsoon conditions, with extensive cloud cover, high humidity, and scattered thundershowers expected to limit surface heating. These factors explain the market’s concentration on 31–33 °C outcomes, as convective activity and easterly flow typically suppress peaks relative to clearer late-September climatology. Updated short-range runs or revised IMD guidance ahead of the date remain the main variables that could shift implied probabilities within the narrow forecast window.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於9月14日勒克瑙的最高溫度?
32°C 44%
31°C 24%
33°C 22%
34°C 7%
25°C或以下
<1%
26°C
1%
27°C
1%
28°C
3%
29°C
5%
30°C
6%
31°C
24%
32°C
44%
33°C
22%
34°C
7%
35°C或更高
5%
32°C 44%
31°C 24%
33°C 22%
34°C 7%
25°C或以下
<1%
26°C
1%
27°C
1%
28°C
3%
29°C
5%
30°C
6%
31°C
24%
32°C
44%
33°C
22%
34°C
7%
35°C或更高
5%
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 that 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 will resolve once the first data point for the following date has been published on the resolution source, or by 11:59 PM ET on the day following the observation date, whichever comes first.
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.
市場開放時間: Sep 12, 2026, 12:56 AM ET
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 that 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 will resolve once the first data point for the following date has been published on the resolution source, or by 11:59 PM ET on the day following the observation date, whichever comes first.
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.
Recent India Meteorological Department outlooks and model consensus for Lucknow on September 14 point to a daytime maximum near 31–34 °C amid weakening monsoon conditions, with extensive cloud cover, high humidity, and scattered thundershowers expected to limit surface heating. These factors explain the market’s concentration on 31–33 °C outcomes, as convective activity and easterly flow typically suppress peaks relative to clearer late-September climatology. Updated short-range runs or revised IMD guidance ahead of the date remain the main variables that could shift implied probabilities within the narrow forecast window.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於
警惕外部連結哦。
警惕外部連結哦。
Frequently Asked Questions