Recent monsoon advancement across Uttar Pradesh has increased cloud cover and humidity over Lucknow, moderating daytime highs and establishing the main downward pressure on July 3 maximum temperatures. Official India Meteorological Department updates confirm the southwest monsoon reached additional northern regions by late June, aligning with model consensus from sources like AccuWeather and BBC showing expected peaks of 30–33°C amid scattered showers. Historical July averages near 34°C provide context, yet current below-normal readings (32.1°C on June 30) and rain probabilities differentiate the closely bunched 33–36°C market outcomes. Traders weigh forecast revisions from the next IMD extended-range briefing and local station data, as small shifts in steering winds or precipitation timing could tip resolution between these thresholds.
基于Polymarket数据的AI实验性摘要。这不是交易建议，也不影响该市场的结算方式。 · 更新于7月3日勒克瑙的最高温度？
7月3日勒克瑙的最高温度？
36°C 100%
28°C或以下 <1%
29°C <1%
30°C <1%
$45,091 交易量
$45,091 交易量
2026-07-03
28°C或以下
否
29°C
否
30°C
否
31°C
否
32°C
否
33°C
否
34°C
否
35°C
否
36°C
是
37°C
否
38°C或更高
否
36°C 100%
28°C或以下 <1%
29°C <1%
30°C <1%
$45,091 交易量
$45,091 交易量
2026-07-03
28°C或以下
$1,319 交易量
否
29°C
$3,239 交易量
否
30°C
$1,991 交易量
否
31°C
$1,732 交易量
否
32°C
$3,109 交易量
否
33°C
$4,321 交易量
否
34°C
$5,122 交易量
否
35°C
$7,019 交易量
否
36°C
$4,834 交易量
是
37°C
$6,615 交易量
否
38°C或更高
$5,791 交易量
否
This market will resolve to the temperature range that contains the highest temperature recorded at the Chaudhary Charan Singh Intl Airport Station in degrees Celsius on 3 Jul '26.
The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Chaudhary Charan Singh Intl Airport Station, 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 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.Recent monsoon advancement across Uttar Pradesh has increased cloud cover and humidity over Lucknow, moderating daytime highs and establishing the main downward pressure on July 3 maximum temperatures. Official India Meteorological Department updates confirm the southwest monsoon reached additional northern regions by late June, aligning with model consensus from sources like AccuWeather and BBC showing expected peaks of 30–33°C amid scattered showers. Historical July averages near 34°C provide context, yet current below-normal readings (32.1°C on June 30) and rain probabilities differentiate the closely bunched 33–36°C market outcomes. Traders weigh forecast revisions from the next IMD extended-range briefing and local station data, as small shifts in steering winds or precipitation timing could tip resolution between these thresholds.
This market will resolve to the temperature range that contains the highest temperature recorded at the Chaudhary Charan Singh Intl Airport Station in degrees Celsius on 3 Jul '26.
The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Chaudhary Charan Singh Intl Airport Station, 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 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 Wunderground, specifically the highest temperature recorded for all times on this day for the Chaudhary Charan Singh Intl Airport Station, 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 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.
市场开放时间： Jul 1, 2026, 1:02 AM ET
交易量
$45,091结束日期
2026-07-03市场开放时间
Jul 1, 2026, 1:02 AM ET已提议结果: 否
无争议
最终结果: 否
This market will resolve to the temperature range that contains the highest temperature recorded at the Chaudhary Charan Singh Intl Airport Station in degrees Celsius on 3 Jul '26.
The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Chaudhary Charan Singh Intl Airport Station, 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 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.Recent monsoon advancement across Uttar Pradesh has increased cloud cover and humidity over Lucknow, moderating daytime highs and establishing the main downward pressure on July 3 maximum temperatures. Official India Meteorological Department updates confirm the southwest monsoon reached additional northern regions by late June, aligning with model consensus from sources like AccuWeather and BBC showing expected peaks of 30–33°C amid scattered showers. Historical July averages near 34°C provide context, yet current below-normal readings (32.1°C on June 30) and rain probabilities differentiate the closely bunched 33–36°C market outcomes. Traders weigh forecast revisions from the next IMD extended-range briefing and local station data, as small shifts in steering winds or precipitation timing could tip resolution between these thresholds.
This market will resolve to the temperature range that contains the highest temperature recorded at the Chaudhary Charan Singh Intl Airport Station in degrees Celsius on 3 Jul '26.
The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Chaudhary Charan Singh Intl Airport Station, 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 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 Wunderground, specifically the highest temperature recorded for all times on this day for the Chaudhary Charan Singh Intl Airport Station, 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 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.
交易量
$45,091结束日期
2026-07-03市场开放时间
Jul 1, 2026, 1:02 AM ET已提议结果: 否
无争议
最终结果: 否
Recent monsoon advancement across Uttar Pradesh has increased cloud cover and humidity over Lucknow, moderating daytime highs and establishing the main downward pressure on July 3 maximum temperatures. Official India Meteorological Department updates confirm the southwest monsoon reached additional northern regions by late June, aligning with model consensus from sources like AccuWeather and BBC showing expected peaks of 30–33°C amid scattered showers. Historical July averages near 34°C provide context, yet current below-normal readings (32.1°C on June 30) and rain probabilities differentiate the closely bunched 33–36°C market outcomes. Traders weigh forecast revisions from the next IMD extended-range briefing and local station data, as small shifts in steering winds or precipitation timing could tip resolution between these thresholds.
基于Polymarket数据的AI实验性摘要。这不是交易建议，也不影响该市场的结算方式。 · 更新于
警惕外部链接哦。
警惕外部链接哦。
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