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Highest temperature in Lucknow on March 28?

Market icon

Highest temperature in Lucknow on March 28?

Mar 28

Mar 29

Mar 28

Mar 29

33°C 42%

32°C or below 32%

34°C 17%

36°C 3.8%

Polymarket

$18,655 Vol.

33°C 42%

32°C or below 32%

34°C 17%

36°C 3.8%

Polymarket

$18,655 Vol.

32°C or below

$3,263 Vol.

32%

33°C

$1,238 Vol.

42%

34°C

$2,524 Vol.

17%

35°C

$1,665 Vol.

4%

36°C

$1,980 Vol.

4%

37°C

$1,100 Vol.

1%

38°C

$1,789 Vol.

1%

39°C

$943 Vol.

<1%

40°C

$1,161 Vol.

<1%

41°C

$1,669 Vol.

<1%

42°C or higher

$1,410 Vol.

<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 28 Mar '26. The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day by the Forecast for the Chaudhary Charan Singh Intl Airport Station once information is finalized, 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 to "Yes" until all data for this date has been finalized. 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. Any revisions to temperatures recorded after data is finalized for this market's timeframe will not be considered for this market's resolution.Trader consensus on Polymarket slightly favors a 33°C high in Lucknow on March 28 at 39% implied probability, just ahead of 32°C or below at 36%, driven by the latest India Meteorological Department (IMD) forecast projecting a maximum around 33°C under clear skies and dry northerly winds promoting daytime heating. This tight split reflects model ensemble uncertainty, with GFS runs leaning 1–2°C warmer than ECMWF amid variable low-level moisture that could cap peaks via afternoon clouds, against historical late-March averages of 31–33°C in Uttar Pradesh. Key differentiators include soil moisture deficits boosting potential highs and upcoming 00Z model updates expected to refine peak-hour guidance before resolution.

Trader consensus on Polymarket slightly favors a 33°C high in Lucknow on March 28 at 39% implied probability, just ahead of 32°C or below at 36%, driven by the latest India Meteorological Department (IMD) forecast projecting a maximum around 33°C under clear skies and dry northerly winds promoting daytime heating. This tight split reflects model ensemble uncertainty, with GFS runs leaning 1–2°C warmer than ECMWF amid variable low-level moisture that could cap peaks via afternoon clouds, against historical late-March averages of 31–33°C in Uttar Pradesh. Key differentiators include soil moisture deficits boosting potential highs and upcoming 00Z model updates expected to refine peak-hour guidance before resolution.

Experimental AI-generated summary referencing Polymarket data · Updated
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 28 Mar '26. The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day by the Forecast for the Chaudhary Charan Singh Intl Airport Station once information is finalized, 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 to "Yes" until all data for this date has been finalized. 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. Any revisions to temperatures recorded after data is finalized for this market's timeframe will not be considered for this market's resolution.Trader consensus on Polymarket slightly favors a 33°C high in Lucknow on March 28 at 39% implied probability, just ahead of 32°C or below at 36%, driven by the latest India Meteorological Department (IMD) forecast projecting a maximum around 33°C under clear skies and dry northerly winds promoting daytime heating. This tight split reflects model ensemble uncertainty, with GFS runs leaning 1–2°C warmer than ECMWF amid variable low-level moisture that could cap peaks via afternoon clouds, against historical late-March averages of 31–33°C in Uttar Pradesh. Key differentiators include soil moisture deficits boosting potential highs and upcoming 00Z model updates expected to refine peak-hour guidance before resolution.

Trader consensus on Polymarket slightly favors a 33°C high in Lucknow on March 28 at 39% implied probability, just ahead of 32°C or below at 36%, driven by the latest India Meteorological Department (IMD) forecast projecting a maximum around 33°C under clear skies and dry northerly winds promoting daytime heating. This tight split reflects model ensemble uncertainty, with GFS runs leaning 1–2°C warmer than ECMWF amid variable low-level moisture that could cap peaks via afternoon clouds, against historical late-March averages of 31–33°C in Uttar Pradesh. Key differentiators include soil moisture deficits boosting potential highs and upcoming 00Z model updates expected to refine peak-hour guidance before resolution.

Experimental AI-generated summary referencing Polymarket data · Updated

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Frequently Asked Questions

"Highest temperature in Lucknow on March 28?" is a prediction market on Polymarket with 11 possible outcomes where traders buy and sell shares based on what they believe will happen. The current leading outcome is "33°C" at 42%, followed by "32°C or below" at 33%. Prices reflect real-time crowd-sourced probabilities. For example, a share priced at 42¢ implies that the market collectively assigns a 42% chance to that outcome. These odds shift continuously as traders react to new developments and information. Shares in the correct outcome are redeemable for $1 each upon market resolution.

As of today, "Highest temperature in Lucknow on March 28?" has generated $18.7K in total trading volume since the market launched on Mar 24, 2026. This level of trading activity reflects strong engagement from the Polymarket community and helps ensure that the current odds are informed by a deep pool of market participants. You can track live price movements and trade on any outcome directly on this page.

To trade on "Highest temperature in Lucknow on March 28?," browse the 11 available outcomes listed on this page. Each outcome displays a current price representing the market's implied probability. To take a position, select the outcome you believe is most likely, choose "Yes" to trade in favor of it or "No" to trade against it, enter your amount, and click "Trade." If your chosen outcome is correct when the market resolves, your "Yes" shares pay out $1 each. If it's incorrect, they pay out $0. You can also sell your shares at any time before resolution if you want to lock in a profit or cut a loss.

The current frontrunner for "Highest temperature in Lucknow on March 28?" is "33°C" at 42%, meaning the market assigns a 42% chance to that outcome. The next closest outcome is "32°C or below" at 33%. These odds update in real-time as traders buy and sell shares, so they reflect the latest collective view of what's most likely to happen. Check back frequently or bookmark this page to follow how the odds shift as new information emerges.

The resolution rules for "Highest temperature in Lucknow on March 28?" define exactly what needs to happen for each outcome to be declared a winner — including the official data sources used to determine the result. You can review the complete resolution criteria in the "Rules" section on this page above the comments. We recommend reading the rules carefully before trading, as they specify the precise conditions, edge cases, and sources that govern how this market is settled.