There is a wide variety of climates on the planet’s surface, and climate classifications are tools for delimiting and describing prevailing climate types. Köppen classification relates types of climate to types of vegetation, while Camargo classification seeks to map climatic types based on thermal and water factors. In Brazil, the Midwest region is a major agricultural producer but still lacks detailed climate information. In this sense, we aimed to compare Köppen and Geiger (1928) with Camargo (1991) methods for climate classification in the Midwest of Brazil. For this purpose, we used data on daily global solar radiation; mean, maximum, and minimum air temperature; relative humidity; wind speed; and precipitation from 2160 weather stations, which were obtained from the NASA/POWER platform. Components of normal climatological water balance were calculated using the Thornthwaite and Mather (1955) method, with an available water capacity of 100 mm. Köppen and Geiger (1928) system uses data on mean annual temperature, annual precipitation, coldest month mean temperature, warmest month mean temperature, and driest month precipitation. The method of Camargo (1991), modified by Maluf (2000), uses the following meteorological elements: mean annual temperature, coldest month mean temperature, annual water surplus and deficit, and water deficit months. The similarity between classification methods was verified by agglomerative hierarchical clustering and Tukey’s test at 95% reliability. The most predominant climate class according to Camargo (1991) was TR-UMi (humid tropical climate), representing 33.63% of the entire territory of the Midwest of Brazil. According to Köppen and Geiger (1928), six climate types were observed in the Midwest region, with a predominance of class Aw (tropical climate with dry winter), representing 58.50% of the entire region. While Köppen and Geiger (1928) showed a macroscale scope, Camargo (1991) classification had a mesoscale approach. The latter was more suitable for agricultural purposes, mainly because it provided information on prevailing water conditions in the region.

地球表面存在多种气候，气候分类是界定和描述主要气候类型的工具。柯本分类法将气候类型与植被类型相关联，而卡玛戈分类法则试图根据热量和水因子绘制气候类型图。在巴西，中西部地区是主要的农业生产国，但仍缺乏详细的气候信息。从这个意义上讲，我们旨在比较Köppen和Geiger（1928）与Camargo（1991）在巴西中西部进行气候分类的方法。为此，我们使用了每日全球太阳辐射的数据。平均，最高和最低气温；相对湿度; 风速; 来自美国宇航局/ POWER平台的2160个气象站的降水和降水。使用Thornthwaite and Mather（1955）方法计算了正常气候水平衡的组成部分，可用水容量为100 mm。Köppenand Geiger（1928）系统使用有关年平均温度，年降水量，最冷月平均温度，最暖月平均温度和最干旱月降水的数据。Camargo（1991）的方法（由Maluf（2000）修改）使用以下气象要素：年平均温度，最冷月份的平均温度，年缺水和缺水以及缺水月份。分类方法之间的相似性通过聚集层次聚类和Tukey检验以95％的可靠性进行了验证。Camargo（1991）认为，最主要的气候类别是TR-UMi（潮湿的热带气候），占33。巴西中西部全境的63％。根据Köppen和Geiger（1928）的研究，在中西部地区观察到六种气候类型，主要为Aw级（热带气候，冬季干燥），占整个地区的58.50％。Köppen和Geiger（1928）显示了宏观范围，而Camargo（1991）的分类采用了中尺度方法。后者更适合农业用途，主要是因为它提供了该地区主要水况的信息。