Climatic classifications: an analytical study

Research Abstract:

This study aims to examine climate classification and its significance in understanding natural phenomena and human activities, analyzing prominent global classification systems such as Köppen, De Martonne, Ivanov, Emberger, Thornthwaite, UNEP, and Gorczynski, while assessing the impact of geographical factors on regional climatic characteristics and the adaptation of classifications to local conditions. The research employed a descriptive-analytical and comparative methodology to study the various models, alongside an inductive approach to interpret the effects of geographical location, latitude, topography, elevation, distance from seas, and ocean currents on temperature, humidity, and precipitation patterns. Key metrics utilized included annual rainfall, temperature, humidity index, potential evapotranspiration, thermopluviometric coefficient, precipitation effectiveness index, and continentality index, complemented by the use of natural vegetation as a bioindicator for refining local climate classifications. Results indicate that climate classification serves as a fundamental tool for understanding natural phenomena and the distribution of environmental resources, supporting agricultural planning by determining suitable crops and growth periods, aiding in water resource management, environmental planning, and renewable energy deployment, and providing a means to anticipate droughts, floods, and sudden frost events. The study emphasizes the necessity of adjusting classifications according to local conditions, considering elevation, maritime influence, coastal fog, and human activity, to ensure accuracy and relevance in the context of contemporary climate change. Recommendations include regular review of classifications, integrated application of classification models, leveraging climate classification in agricultural and environmental planning, accounting for local factors when classifying climate, and utilizing classifications to predict climatic hazards and minimize economic losses.

Keywords: classifications, climatology, analytical