Latest ECMWF and GFS ensemble forecasts show Paris daily high temperatures clustering around 21-23°C on April 7, aligning with trader consensus where these outcomes hold nearly 68% implied probability, well above the early April climatological average of 14-16°C from Météo-France records. This warmer positioning stems from a developing high-pressure ridge over northwest Europe, fostering subsidence, clear skies, and mild southerly flow amid the transition from La Niña to ENSO-neutral conditions, which historically favors reduced cool anomalies in spring. Differentiating the tight 21-23°C race are model spreads of ±1-2°C, driven by variable cloud cover persistence, low-level wind shear, and diurnal heating efficiency. New Météo-France bulletins and model runs through April 5-6 will clarify resolution amid inherent short-range forecast uncertainty.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten · AktualisiertHighest temperature in Paris on April 7?
Highest temperature in Paris on April 7?
22°C 27%
23°C 22%
20°C 17%
21°C 16%
18°C or below
7%
19°C
14%
20°C
13%
21°C
19%
22°C
27%
23°C
22%
24°C
12%
25°C
8%
26°C
5%
27°C
2%
28°C or higher
1%
22°C 27%
23°C 22%
20°C 17%
21°C 16%
18°C or below
7%
19°C
14%
20°C
13%
21°C
19%
22°C
27%
23°C
22%
24°C
12%
25°C
8%
26°C
5%
27°C
2%
28°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 by the Forecast for the Charles de Gaulle Airport Station once information is finalized, available here: https://www.wunderground.com/history/daily/fr/paris/LFPG.
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.
Markt eröffnet: Apr 3, 2026, 6:01 AM ET
Abwicklungsquelle
https://www.wunderground.com/history/daily/fr/paris/LFPGResolver
0x69c47De9D...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 Charles de Gaulle Airport Station once information is finalized, available here: https://www.wunderground.com/history/daily/fr/paris/LFPG.
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.
Abwicklungsquelle
https://www.wunderground.com/history/daily/fr/paris/LFPGResolver
0x69c47De9D...Latest ECMWF and GFS ensemble forecasts show Paris daily high temperatures clustering around 21-23°C on April 7, aligning with trader consensus where these outcomes hold nearly 68% implied probability, well above the early April climatological average of 14-16°C from Météo-France records. This warmer positioning stems from a developing high-pressure ridge over northwest Europe, fostering subsidence, clear skies, and mild southerly flow amid the transition from La Niña to ENSO-neutral conditions, which historically favors reduced cool anomalies in spring. Differentiating the tight 21-23°C race are model spreads of ±1-2°C, driven by variable cloud cover persistence, low-level wind shear, and diurnal heating efficiency. New Météo-France bulletins and model runs through April 5-6 will clarify resolution amid inherent short-range forecast uncertainty.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten · Aktualisiert
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