Climate Zone Calculator

Estimate an approximate Köppen–Geiger class from monthly mean temperature and precipitation data for either hemisphere.

MonthJanFebMarAprMayJunJulAugSepOctNovDec
Temperature (°C)
Precipitation (mm)

Approximate Köppen–Geiger class

Csb

Mediterranean

Screening classification from monthly means. Borderline sites and highland climates may require a full Köppen–Geiger dataset and local interpretation.

Interpreting an estimated Köppen–Geiger climate class

The Köppen–Geiger system groups climates using temperature, precipitation, and precipitation seasonality. This calculator applies a simplified decision tree to twelve monthly mean temperatures and precipitation totals.

Use long-term climate normals rather than one unusual year. Published classifications may use a specific Köppen–Geiger variant, gridded observations, quality controls, and spatial interpretation that this screening tool does not reproduce.

How to use the climate zone calculator

  1. Select the hemisphere: This determines which six-month period the tool treats as summer.
  2. Enter temperatures: Provide all twelve long-term monthly mean temperatures in degrees Celsius.
  3. Enter precipitation: Provide all twelve long-term monthly precipitation totals in millimeters.
  4. Classify and verify: Treat the result as a screening class and compare it with a recognized map or full classification method.

Formula and variables

Threshold tests identify tropical, arid, temperate, continental, or polar groups and then estimate precipitation and temperature subclasses.

Class = f(monthly temperature, monthly precipitation, hemisphere)
TᵢMonthly temperature
Mean temperature for month i (°C)
PᵢMonthly precipitation
Total precipitation for month i (mm)
PannualAnnual precipitation
Sum of all twelve monthly totals (mm)

Northern Hemisphere example

A site has mild wet winters, warm dry summers, and the default twelve-month dataset shown in the calculator.

Hemisphere
Northern
Temperature range
5–21 °C
Annual precipitation
920 mm
  1. Identify the broad thermal group
  2. Compare summer and winter precipitation thresholds
  3. Apply the summer-temperature subclass

Result: The screening result is Csb, a warm-summer Mediterranean-type climate.

A published dataset may classify a boundary location differently because of period, resolution, and classification variant.

Understanding your results

Read the letters as threshold categories

The first letter is the broad climate group; later letters summarize moisture seasonality and temperature.

  • A classes are tropical, B arid, C temperate, D continental, and E polar.
  • A class is descriptive, not a weather forecast.
  • Small input changes can switch a site near a threshold.

Assumptions

  • Inputs are representative long-term monthly climatologies.
  • Temperature uses degrees Celsius and precipitation uses millimeters.
  • Six-month seasonal groupings adequately represent the selected hemisphere.

Limitations

  • Implements a simplified subset of Köppen–Geiger thresholds and names.
  • Does not classify highland climate separately or resolve every D-climate subclass.
  • Does not fetch location data, assess data quality, interpolate terrain, or quantify classification confidence.
  • Not a building-code, agricultural-hardiness, or HVAC climate-zone lookup.

Common mistakes

  • Entering daily or annual averages instead of twelve monthly values.
  • Using Fahrenheit or inches without conversion.
  • Selecting the wrong hemisphere.
  • Treating one year of weather as a climate normal.
  • Confusing Köppen climate classes with construction energy-code zones.

Practical use cases

Climate education

Explore how thermal and seasonal precipitation thresholds affect a climate label.

Dataset screening

Generate a preliminary class for monthly climatology before consulting a published map.

Frequently asked questions

Is this the same as an IECC or ASHRAE climate zone?

No. This tool estimates a Köppen–Geiger climate type; construction and energy standards use different zone systems.

Should I use one year or a long-term average?

Use a quality-controlled long-term monthly climatology. A single year can be anomalous.

Why can another map show a different class?

Classification variant, averaging period, station quality, grid resolution, topography, and borderline thresholds can change the result.

Sources and review

Reviewed 2026-07-13.

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