Global weather record database

Warmest days

Coldest days

Wettest days

Driest days

Highest wind days

Most humid days

Most sunny-profile days

Record years and record cities

Most searched dates

Why these records matter for real planning

Record tables are only useful when they are interpreted with context. The warmest, wettest, or windiest entry on this page is not automatically representative for all seasons in that city. Instead, these rows should be used as a signal of potential edge cases. If a location repeatedly appears in extreme rainfall or wind rankings, that is a practical warning that additional buffer time, shelter design, or fallback options may be necessary.

This page is designed as a discovery layer. It helps you identify where unusual weather patterns appear in historical lookup activity, then move into deeper pages for analysis. After spotting a record city, open the city encyclopedia to inspect seasonal behavior and variation. After spotting a record year or date pattern, open year reports or date-level lookups to validate whether the signal is persistent or event-driven.

Because this database updates as new analyses are run, rankings can change over time. That is intentional. WeatherRecall treats records as a living intelligence surface, not a frozen infographic. This makes the page more useful for repeat users who monitor changing risk patterns.

How to interpret rankings responsibly

• Use top-ranked records as hypothesis starters, not final conclusions.
• Check both intensity and frequency before assigning risk severity.
• Compare with nearby cities and adjacent years to avoid cherry-picking.
• Pair historical context with near-term forecasts before final decisions.

For transparency and trust, review methodology, data sources, and editorial policy. For non-expert explanations of climate concepts, continue in the Weather Academy.

How to interpret this record database

• These rankings reflect measured lookup summaries on WeatherRecall, not a complete global climatology census.
• Use records as discovery signals, then open the linked date pages for full context and historical distribution.
• A single extreme value does not automatically represent typical local climate behavior.
• Combine record pages with city and year reports for decision-grade planning context.