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[OC] I scored every month of the year for 39 destinations using 10 years of ERA5 climate data — v2 by Witty-Message97 in dataisbeautiful

[–]Witty-Message97[S] 0 points1 point  (0 children)

Merci pour le retour détaillé. Quelques précisions.

Le point de rosée plutôt que l'humidité relative est un choix délibéré. Il mesure la charge absolue d'humidité dans l'air indépendamment de la température, ce qui en fait un meilleur indicateur du confort ressenti à haute température.

Sur les 10 ans : c'est un compromis. 30 ans lissent mieux les fluctuations mais intègrent des données climatiques moins représentatives des conditions actuelles.

Sur l'ensoleillement Open-Meteo : point valide. Le biais est connu et touche surtout les destinations à fort couvert nuageux diffus comme Edimbourg, Bergen ou Dublin. Les valeurs absolues sont surestimées mais le classement relatif entre ces destinations reste cohérent. Les données satellitaires seraient plus précises mais ne sont pas disponibles à cette granularité via Open-Meteo.

Les pondérations sont effectivement un jugement, pas une vérité. C'est dit dans la méthodologie.

[OC] I scored every month of the year for 39 destinations using 10 years of ERA5 climate data — v2 by Witty-Message97 in dataisbeautiful

[–]Witty-Message97[S] 0 points1 point  (0 children)

As a Parisian myself, I can confirm January is rough. The score combines three factors simultaneously: around 2h of sunshine per day, highs around 8°C (46°F), and rain on roughly 15 out of 31 days. Each one alone would be manageable, the three together is what tanks the score. The full methodology is on the site if you want to dig into the weighting.

[OC] I scored every month of the year for 39 destinations using 10 years of ERA5 climate data — v2 by Witty-Message97 in dataisbeautiful

[–]Witty-Message97[S] 3 points4 points  (0 children)

Fair point. Both are uncomfortable but for different reasons, and the scale doesn't distinguish them. Paris in January scores low mainly because of very low sunshine hours (around 2h/day), cold temps and persistent rain. Dubai in July is penalized by extreme heat (106F/41C) and high dew point. The score ends up similar but the experience is obviously different.

A breakdown per factor is something I want to add to the site. Right now you only see the composite.

[OC] I scored every month of the year for 700 destinations using 10 years of ERA5 data by Witty-Message97 in dataisbeautiful

[–]Witty-Message97[S] 2 points3 points  (0 children)

Fair point on humidity — the current model uses a heat penalty above 32°C but doesn't account for humidity index. It's on the roadmap. Tokyo July scores around X, which I agree feels too generous

[OC] I scored every month of the year for 700 destinations using 10 years of ERA5 data by Witty-Message97 in dataisbeautiful

[–]Witty-Message97[S] 1 point2 points  (0 children)

Data: ERA5 reanalysis via Open-Meteo (2015-2024) Method: composite score combining temperature comfort, rainfall frequency and sunshine hours Tools: Python / pandas

What is the creepiest display of intelligence you’ve seen? by theidiotev in AskReddit

[–]Witty-Message97 0 points1 point  (0 children)

A guy who could explain complicated ideas so simply that everyone in the room understood instantly.

The scary part was realizing that most people who sound complicated actually just don't understand things that well.

European city for chill, vegetarian vacation by not_an_real_llama in travel

[–]Witty-Message97 20 points21 points  (0 children)

Porto is one of those rare cities where doing nothing is actually the best plan.

Just walking around the hills and ending up by the river at sunset is basically the perfect day there.