**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 데이터를 참조하는 실험적 AI 생성 요약입니다. 이것은 거래 조언이 아니며 이 마켓의 정산에 영향을 미치지 않습니다. · 업데이트Highest temperature in Lucknow on June 16?
40°C 100.0%
35°C or below <1%
36°C <1%
37°C <1%
$70,776 거래량
$70,776 거래량
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 거래량
$70,776 거래량
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.
마켓 개설일: Jun 14, 2026, 1:18 AM ET
결과 제안됨: No
이의 없음
최종 결과: 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.
결과 제안됨: No
이의 없음
최종 결과: 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 데이터를 참조하는 실험적 AI 생성 요약입니다. 이것은 거래 조언이 아니며 이 마켓의 정산에 영향을 미치지 않습니다. · 업데이트
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