Why do climate classification systems use temperature and precipitation data?

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Climate classification systems rely on temperature and precipitation data primarily because these variables are extensively recorded, widely available across the globe, and have been documented for extended periods.1

In the context of meteorology and climatology, these data points serve as fundamental indicators for several reasons:

  • Practicality and Availability: Unlike many other environmental variables, temperature and precipitation are standard measurements at meteorological stations worldwide, making them the most reliable basis for creating consistent, large-scale classification schemes.1
  • Ecological Indicators: Many climatologists view natural vegetation as a long-term integrator of climate. Because vegetation distribution is heavily influenced by heat and moisture, temperature and precipitation serve as effective proxies for mapping climatic zones that correspond to biological reality.21
  • Defining Aridity: In systems like the Köppen climate classification, these variables are used to calculate aridity. Since direct measurements of evaporation are difficult to obtain, formulas using temperature and precipitation are used to estimate the moisture balance of the soil.23

While these empirical methods are highly popular, they are sometimes criticized for not accounting for extreme events or other factors like wind and sunlight, which also influence environmental conditions.23