City climate encyclopedia
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Average monthly climate
This table aggregates Open-Meteo daily archive estimates into monthly means, not automatically direct station observations or formal climate normals.
Most searched dates and city interest
These trend rows show what users most often investigate for this city, helping you discover high-interest periods and potentially weather-sensitive dates.
Popular related cities
City weather archive navigation
What this city climate encyclopedia actually adds
Most weather tools show only a forecast snapshot or one raw table. This city page is built to answer a broader planning question: what is usually normal in this location, what is unusual, and how much volatility should you expect when choosing dates for travel, events, or operations. The monthly climate table gives a quick seasonal baseline, while anomaly and variability indicators explain whether conditions are stable or noisy. That combination is the practical difference between reading a number and understanding risk.
The historical sections are intentionally written for users without meteorology background. Terms such as variability, anomaly, and record are framed in plain language so you can interpret the output without technical training. If a month looks warm, we also explain whether that warmth is consistently observed or driven by a few outlier days. If rainfall looks low, we explain what that means for reliability. This makes the page useful for real decisions, not only for curiosity.
Use this page in three steps. First, scan the monthly rows to shortlist likely windows. Second, read the trend and record panels to detect downside risk. Third, open date-level pages for the specific day-month combinations you are considering. This workflow helps you avoid overconfidence from a single average and creates a consistent method across cities.
Method and limitations
WeatherRecall aggregates archive estimates. This is historical context, not observation certification or a future-weather guarantee. Local representation, variability, and baseline choice matter; use current official information for consequential decisions.
For transparency, we link methodology and source pages directly: methodology, data sources, and editorial policy. For deeper interpretation, continue with year reports, global records, and knowledge articles. This keeps each page useful on its own while still connected to the full research journey.
How to use this city page
- Use monthly averages to choose low-risk seasons before booking events or travel.
- Use anomaly and trend notes to understand if volatility is rising or stable.
- Use archive links to inspect specific dates across multiple years.
- Use record lists to identify climate extremes that could affect planning.
Read a city profile as a seasonal research starting point
A city profile is most useful when you want to understand the shape of the year before choosing individual dates. Confirm the place label and coordinates first. The page uses a default location when no query is supplied; its existence does not mean you have selected your own destination. A city-centre coordinate also cannot represent every surrounding beach, airport, hillside, or suburb equally well.
Separate temperature means from daily extremes
A monthly average maximum is the mean of daily maxima in the sample, not the temperature at every hour or the hottest day you might encounter. The average minimum gives another part of the daily cycle. Neither number is a range containing all outcomes. When you compare months, look at the seasonal pattern first, then inspect date-level history for the actual activity window. A pleasant monthly mean can coexist with short uncomfortable periods.
Hypothetical example: a city profile shows similar average maximum temperatures in May and September. That does not make the months interchangeable for a week of walking. Rain totals, daylight, evening cooling, and the spread between years could differ. Your next step would be to compare those variables and consider flexible indoor activities, not declare a winner from the temperature column alone. The example is illustrative and does not describe observations from a particular city.
Understand baselines and records
This page aggregates an Open-Meteo multi-year daily archive into monthly context. Its selected period is a site research baseline, not automatically a formal 30-year climate normal. An anomaly is meaningful only relative to that baseline and variable. A record is meaningful only within its stated series and period. Do not cite a local sample maximum as an all-time city or national record without checking an authoritative archive.
The popularity panels measure WeatherRecall lookup activity. Frequently searched dates may reflect holidays or reader interest rather than unusual weather. Related-city links provide navigation, not a scientific demonstration that the locations share a climate. Keep these discovery features separate from the monthly archive series when drawing conclusions or explaining why a season was shortlisted.
Check local representation
Reanalysis and other gridded archive products can smooth elevation differences, urban effects, and short rainfall events. A station near the city is not necessarily representative of your site, and station catalog coverage elsewhere on WeatherRecall is not proof that this page uses direct instrument readings. Preserve the source distinction when citing a chart. If fields are missing or a request fails, do not treat an empty panel as evidence that a condition never occurred.
Save the coordinates, archive window, variables, units, and retrieval date. Use the annual report to investigate a particular year and the main lookup for calendar dates. References include Open-Meteo documentation, ECMWF ERA5, and NOAA climate normals. This educational synthesis is not a certified forecast or personalized safety advice; consult current official information before consequential decisions.