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Global weather record database

Rankings of stored lookup summaries—not certified world records or a complete global survey. Search activity affects which locations and dates are represented.

Warmest days

Coldest days

Wettest days

Driest days

Highest wind days

Most humid days

Most sunny-profile days

Record years and record cities

Most represented years

Most represented 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 stored archive-derived summaries, not direct-observation certification or a complete global 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.

These are lookup rankings, not certified world records

The tables rank summary records stored from WeatherRecall lookup activity. They do not survey every day, station, country, or coordinate on Earth. The word global describes the possible geographic scope of queries, not a complete global observing system. A first-place entry is the largest or smallest value in the available stored sample for that metric, not automatically an all-time meteorological record.

Recognise selection bias

Users choose what to search. Popular cities, holidays, and memorable weather dates can receive more attention than less familiar regions. A location absent from the table may simply not have been searched or stored. Changes in traffic or new lookups can alter rankings without any change in the underlying historical climate. Do not use the number of appearances as a measure of physical weather frequency or compare country coverage as though it were systematic sampling.

Hypothetical example: a new query adds a wetter day from a previously unrepresented location and moves the old leader into second place. The old location has not become drier, and the new entry does not certify the wettest day in the world. The ranking changed because the stored sample expanded. This teaching example is not a report of actual entries or an invented observation.

Compare the exact metric

Daily rain totals, wind speeds, temperature maxima, humidity summaries, and sunny-profile indicators describe different aspects of weather. A cloud-derived sunny profile is not measured sunshine duration. A daily wind summary is not necessarily the highest instantaneous gust. Before citing a row, inspect the variable, unit, date, and underlying query. A warmest daily maximum cannot be compared directly with a monthly mean or a minimum temperature.

The “most searched” panels describe audience interest. They are not evidence that those dates or cities are meteorologically extreme. Likewise, repeated entries can depend on how summaries are stored and updated, not just on event frequency. The database is a discovery surface: it helps you find a query to investigate, but it does not provide a uniform denominator for estimating the probability of an extreme event.

Verify any record claim independently

Open-Meteo archive estimates are not necessarily direct station observations, and gridded products may smooth local extremes. An official record claim needs authoritative source data, consistent measurement practices, a stated period, and appropriate validation. Open the linked query for context, then compare with station archives or the relevant national meteorological authority. Absence of a record here does not demonstrate absence of hazardous weather.

Use the rankings guide, city profiles, and annual reports to broaden the question. References: Open-Meteo archive documentation, ECMWF reanalysis, and NOAA Climate Data Online. Keep retrieval date and sample scope when sharing a ranking. This educational synthesis is not official record certification, a forecast, or personalized safety advice.