Forecasts for Guangzhou on June 29 indicate a typical late-June subtropical pattern with scattered thundery showers and highs likely between 31–34 °C, driving the tight clustering of market-implied odds around 32 °C (23.5 %) and 33 °C (22 %). High humidity, frequent afternoon convection, and variable cloud cover introduce substantial uncertainty in peak readings, as localized storms can suppress temperatures by several degrees while clearer intervals allow brief spikes. Model guidance shows modest spread in timing and intensity of precipitation, with official monitoring emphasizing the influence of monsoon moisture and regional steering patterns rather than extreme heat buildup. Historical late-June averages near 31–32 °C provide baseline context, but daily resolution hinges on the precise evolution of convective activity in the final 48 hours.
Polymarket ডেটা রেফারেন্স করে পরীক্ষামূলক AI-জেনারেটেড সারাংশ। এটি ট্রেডিং পরামর্শ নয় এবং এই মার্কেট কীভাবে রেজলভ হয় তাতে কোনো ভূমিকা রাখে না। · আপডেটেডHighest temperature in Guangzhou on June 29?
32°C 31%
33°C 22%
34°C 19%
31°C 14%
27°C or below
1%
28°C
6%
29°C
6%
30°C
7%
31°C
14%
32°C
31%
33°C
22%
34°C
19%
35°C
5%
36°C
1%
37°C or higher
<1%
32°C 31%
33°C 22%
34°C 19%
31°C 14%
27°C or below
1%
28°C
6%
29°C
6%
30°C
7%
31°C
14%
32°C
31%
33°C
22%
34°C
19%
35°C
5%
36°C
1%
37°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 Guangzhou Baiyun International Airport Station, available here: https://www.wunderground.com/history/daily/cn/guangzhou/ZGGG.
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.
মার্কেট ওপেন হয়েছে: Jun 27, 2026, 12:03 AM ET
রেজোলিউশন সোর্স
https://www.wunderground.com/history/daily/cn/guangzhou/ZGGGResolver
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 Guangzhou Baiyun International Airport Station, available here: https://www.wunderground.com/history/daily/cn/guangzhou/ZGGG.
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.
রেজোলিউশন সোর্স
https://www.wunderground.com/history/daily/cn/guangzhou/ZGGGResolver
0x69c47De9D...Forecasts for Guangzhou on June 29 indicate a typical late-June subtropical pattern with scattered thundery showers and highs likely between 31–34 °C, driving the tight clustering of market-implied odds around 32 °C (23.5 %) and 33 °C (22 %). High humidity, frequent afternoon convection, and variable cloud cover introduce substantial uncertainty in peak readings, as localized storms can suppress temperatures by several degrees while clearer intervals allow brief spikes. Model guidance shows modest spread in timing and intensity of precipitation, with official monitoring emphasizing the influence of monsoon moisture and regional steering patterns rather than extreme heat buildup. Historical late-June averages near 31–32 °C provide baseline context, but daily resolution hinges on the precise evolution of convective activity in the final 48 hours.
Polymarket ডেটা রেফারেন্স করে পরীক্ষামূলক AI-জেনারেটেড সারাংশ। এটি ট্রেডিং পরামর্শ নয় এবং এই মার্কেট কীভাবে রেজলভ হয় তাতে কোনো ভূমিকা রাখে না। · আপডেটেড
বাহ্যিক লিংক থেকে সাবধান।
বাহ্যিক লিংক থেকে সাবধান।
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