Recent extreme heat across northern India, with Lucknow recording maxima near or above 43°C in mid-June amid persistent clear skies and dry northwesterly flow, anchors trader focus on 38–40°C outcomes for June 18. Pre-monsoon climatology places the long-term normal near 38–39°C, so current anomalies favor the upper end unless thundershowers or increased humidity from an approaching western disturbance or early monsoon moisture suppress afternoon heating. Official IMD guidance and short-range model runs remain the dominant inputs, with any forecast revision introducing cloud cover or gusty winds likely shifting probabilities toward 37–38°C while sustained dry conditions support 40–41°C. Ensemble spread and timing of any convective activity create the observed clustering around these central buckets.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · DiperbaruiHighest temperature in Lucknow on June 18?
39°C 39%
38°C 24%
40°C 23%
37°C 10%
32°C or below
<1%
33°C
<1%
34°C
1%
35°C
1%
36°C
1%
37°C
10%
38°C
24%
39°C
39%
40°C
23%
41°C
9%
42°C or higher
1%
39°C 39%
38°C 24%
40°C 23%
37°C 10%
32°C or below
<1%
33°C
<1%
34°C
1%
35°C
1%
36°C
1%
37°C
10%
38°C
24%
39°C
39%
40°C
23%
41°C
9%
42°C or higher
1%
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.
Pasar Dibuka: Jun 16, 2026, 1:04 AM ET
Sumber Resolusi
https://www.wunderground.com/history/daily/in/lucknow/VILKResolver
0x69c47De9D...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.
Sumber Resolusi
https://www.wunderground.com/history/daily/in/lucknow/VILKResolver
0x69c47De9D...Recent extreme heat across northern India, with Lucknow recording maxima near or above 43°C in mid-June amid persistent clear skies and dry northwesterly flow, anchors trader focus on 38–40°C outcomes for June 18. Pre-monsoon climatology places the long-term normal near 38–39°C, so current anomalies favor the upper end unless thundershowers or increased humidity from an approaching western disturbance or early monsoon moisture suppress afternoon heating. Official IMD guidance and short-range model runs remain the dominant inputs, with any forecast revision introducing cloud cover or gusty winds likely shifting probabilities toward 37–38°C while sustained dry conditions support 40–41°C. Ensemble spread and timing of any convective activity create the observed clustering around these central buckets.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui
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