Recent forecasts from the India Meteorological Department and models like those referenced by NDTV and BBC indicate light rain and partly cloudy conditions for Lucknow on July 13, driven by active southwest monsoon flow across the Gangetic plains. This setup typically suppresses maximum temperatures through increased cloud cover, reduced solar insolation, and evaporative cooling, aligning with the July climatological average high near 33–35 °C. Trader probabilities cluster on 36–37 °C because short-term model runs show modest variability in rainfall timing and intensity that could allow brief clearing and slight warming, while probabilities drop sharply above 38 °C given the low likelihood of prolonged dry spells this early in peak monsoon season.
สรุปจาก AI ทดลองที่อ้างอิงข้อมูลจาก Polymarket ไม่ใช่คำแนะนำในการเทรดและไม่มีผลต่อการตัดสินตลาดนี้ · อัปเดตแล้วHighest temperature in Lucknow on July 13?
Highest temperature in Lucknow on July 13?
37°C 34%
36°C 31%
38°C 17%
35°C 12%
ใหม่
ใหม่
Jul 13, 2026
32°C or below
<1%
33°C
<1%
34°C
4%
35°C
12%
36°C
31%
37°C
34%
38°C
17%
39°C
6%
40°C
3%
41°C
<1%
42°C or higher
<1%
37°C 34%
36°C 31%
38°C 17%
35°C 12%
ใหม่
ใหม่
Jul 13, 2026
32°C or below
$254 ปริมาณ
<1%
33°C
$24 ปริมาณ
<1%
34°C
$32 ปริมาณ
4%
35°C
$16 ปริมาณ
12%
36°C
$222 ปริมาณ
31%
37°C
$39 ปริมาณ
34%
38°C
$26 ปริมาณ
17%
39°C
$39 ปริมาณ
6%
40°C
$146 ปริมาณ
3%
41°C
$115 ปริมาณ
<1%
42°C or higher
$223 ปริมาณ
<1%
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 13 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 forecasts from the India Meteorological Department and models like those referenced by NDTV and BBC indicate light rain and partly cloudy conditions for Lucknow on July 13, driven by active southwest monsoon flow across the Gangetic plains. This setup typically suppresses maximum temperatures through increased cloud cover, reduced solar insolation, and evaporative cooling, aligning with the July climatological average high near 33–35 °C. Trader probabilities cluster on 36–37 °C because short-term model runs show modest variability in rainfall timing and intensity that could allow brief clearing and slight warming, while probabilities drop sharply above 38 °C given the low likelihood of prolonged dry spells this early in peak monsoon season.
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 13 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.
ตลาดเปิดเมื่อ: Jul 11, 2026, 1:02 AM ET
ปริมาณการซื้อขาย
$1,135วันสิ้นสุด
Jul 13, 2026ตลาดเปิดเมื่อ
Jul 11, 2026, 1:02 AM ETแหล่งข้อมูลการตัดสินผล
https://www.wunderground.com/history/daily/in/lucknow/VILKResolver
0x69c47De9D...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 13 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 forecasts from the India Meteorological Department and models like those referenced by NDTV and BBC indicate light rain and partly cloudy conditions for Lucknow on July 13, driven by active southwest monsoon flow across the Gangetic plains. This setup typically suppresses maximum temperatures through increased cloud cover, reduced solar insolation, and evaporative cooling, aligning with the July climatological average high near 33–35 °C. Trader probabilities cluster on 36–37 °C because short-term model runs show modest variability in rainfall timing and intensity that could allow brief clearing and slight warming, while probabilities drop sharply above 38 °C given the low likelihood of prolonged dry spells this early in peak monsoon season.
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 13 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.
ปริมาณการซื้อขาย
$1,135วันสิ้นสุด
Jul 13, 2026ตลาดเปิดเมื่อ
Jul 11, 2026, 1:02 AM ETแหล่งข้อมูลการตัดสินผล
https://www.wunderground.com/history/daily/in/lucknow/VILKResolver
0x69c47De9D...Recent forecasts from the India Meteorological Department and models like those referenced by NDTV and BBC indicate light rain and partly cloudy conditions for Lucknow on July 13, driven by active southwest monsoon flow across the Gangetic plains. This setup typically suppresses maximum temperatures through increased cloud cover, reduced solar insolation, and evaporative cooling, aligning with the July climatological average high near 33–35 °C. Trader probabilities cluster on 36–37 °C because short-term model runs show modest variability in rainfall timing and intensity that could allow brief clearing and slight warming, while probabilities drop sharply above 38 °C given the low likelihood of prolonged dry spells this early in peak monsoon season.
สรุปจาก AI ทดลองที่อ้างอิงข้อมูลจาก Polymarket ไม่ใช่คำแนะนำในการเทรดและไม่มีผลต่อการตัดสินตลาดนี้ · อัปเดตแล้ว
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