How is an empirical climate classification different from a genetic climate classification?

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The primary difference between empirical and genetic climate classifications lies in the nature of the data used to define climatic regions.1

Empirical Classification

Empirical methods, such as the Köppen climate classification, are descriptive in nature. They rely on observed environmental data—specifically temperature, precipitation, and humidity—or simple quantities derived from these variables. Because they focus on observable outcomes, they are often used to map patterns like vegetation zones.1

Genetic Classification

In contrast, genetic methods are intended to be explanatory by grouping climates based on their underlying causes. These systems analyze the physical processes that create climatic patterns, such as air masses, jet streams, solar radiation, and topographic effects.12

While genetic schemes are scientifically desirable for explaining why a climate exists, they are generally more difficult to implement than empirical methods because they require complex data rather than simple surface observations. Consequently, empirical systems remain more common in practice.1