How realistic are the values?

Temperatures wander around your chosen base with a smooth day-to-day drift rather than jumping randomly, humidity rises when conditions are rainy, and wind and pressure stay in believable bands. The condition label is consistent with the numbers, so rainy days show higher humidity.

Why does temperature drift smoothly?

Real weather has persistence — today's temperature is correlated with yesterday's. The generator nudges each day from the previous value with a small random change, producing a believable series instead of independent noise.

Can I pick Celsius or Fahrenheit?

Set the base temperature in your preferred unit; the tool generates the series in the same unit and labels it. The internal model only adds and subtracts degrees, so it is unit-agnostic.

Is this connected to a real weather service?

No. All values are synthetic and generated in your browser. It is meant for prototyping and tests, not for forecasts or any real-world decision.

What fields are in the output?

Each day has a date, temperature high and low, humidity percentage, wind speed, pressure in hectopascals, and a text condition such as sunny or rainy. The output is a JSON array, one object per day.

Weather Data Generator

Weather widgets and climate dashboards need a believable time series to design against before a real API is wired in. This generator produces daily readings that drift smoothly and stay internally consistent — rainy days are humid, clear days are not — rather than scattering independent random numbers.

How it works

The series starts from your base temperature and walks day to day with a small random change (a random walk), which mimics the persistence of real weather. Each day’s condition is chosen with a probability, and humidity and the high/low spread are derived from that condition so the numbers agree with the label:

temp[d]   = temp[d-1] + randomChange(-3 .. +3)
condition = weightedPick(sunny, cloudy, rainy, ...)
humidity  = base + (condition == rainy ? +25 : 0) + noise
high/low  = temp ± spread(condition)

Wind speed and pressure are sampled from realistic bands independently each day.

Example and tips

With a base of 18°C over seven days you might see a gentle run like 19, 21, 20, 17, 16, 18, 20, with a rainy day showing 88 percent humidity and a sunny day around 45 percent. Set a low base (near 2°C) to simulate winter or a high base (near 30°C) for summer. Because the data is synthetic it is safe for public demos; just remember it is not a forecast.