**Trader consensus has coalesced around a 40°C maximum for Lucknow on June 16, reflecting alignment between recent IMD observations, mid-June climatology, and short-range model guidance.** Pre-monsoon conditions in Uttar Pradesh typically produce daily maxima near 39–40°C, with official station data from early June showing readings of 39.4°C amid stable high-pressure patterns and minimal rainfall. Current surface observations and ensemble forecasts indicate no significant deviation, such as widespread convection or moisture influx that would suppress the peak. The market-implied odds treat 40°C as the resolution threshold most consistent with verified measurements from the India Meteorological Department. A realistic challenge would require an unforecasted late-day cooling event, revised station data, or localized thundershowers not captured in the latest model runs, though such shifts remain low-probability given the established thermal regime.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日Highest temperature in Lucknow on June 16?
40°C 100.0%
35°C or below <1%
36°C <1%
37°C <1%
$70,776 Vol.
$70,776 Vol.
35°C or below
No
36°C
No
37°C
No
38°C
No
39°C
No
40°C
Yes
41°C
No
42°C
No
43°C
No
44°C
No
45°C or higher
No
40°C 100.0%
35°C or below <1%
36°C <1%
37°C <1%
$70,776 Vol.
$70,776 Vol.
35°C or below
No
36°C
No
37°C
No
38°C
No
39°C
No
40°C
Yes
41°C
No
42°C
No
43°C
No
44°C
No
45°C or higher
No
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.
マーケット開始日: Jun 14, 2026, 1:18 AM ET
提案された結果: No
異議申し立てなし
最終結果: No
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.
提案された結果: No
異議申し立てなし
最終結果: No
**Trader consensus has coalesced around a 40°C maximum for Lucknow on June 16, reflecting alignment between recent IMD observations, mid-June climatology, and short-range model guidance.** Pre-monsoon conditions in Uttar Pradesh typically produce daily maxima near 39–40°C, with official station data from early June showing readings of 39.4°C amid stable high-pressure patterns and minimal rainfall. Current surface observations and ensemble forecasts indicate no significant deviation, such as widespread convection or moisture influx that would suppress the peak. The market-implied odds treat 40°C as the resolution threshold most consistent with verified measurements from the India Meteorological Department. A realistic challenge would require an unforecasted late-day cooling event, revised station data, or localized thundershowers not captured in the latest model runs, though such shifts remain low-probability given the established thermal regime.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日
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