Weather at different locations in the Hungarian lowland in different seasons (winter, summer) and times of day (morning, noon) is investigated from the human biometeorological point of view. Human thermal load characteristics of weather are described in terms of clothing resistance and operative temperature. Individual human thermal load–thermal sensation relationships have been estimated to study weather variation in the cities of Sopron (cooler part of Hungary) and Szeged (warmer part of Hungary). In the clothing resistance model, the humans are walking at a speed of 1.1 ms⁻¹ in outdoor conditions without sweating. The main findings are as follows. (1) In the early summer mornings, the weather is sensed as “neutral” or “cool”, in these cases the inter-person variation effect is very small. (2) At noon in summer, heat stresses (clothing resistance parameter values less than −2 clo) are registered. In these cases, high temperature and irradiation, as well as low or moderate wind, characterized the atmospheric environment. Then, the inter-person variation effect is clearly visible. (3) The strength of summer heat excess at noon seems to be larger than the strength of winter heat deficit in the early morning. (4) Clothing resistance differences caused by inter-person variations and by weather variations between the cities of Sopron and Szeged are comparable in the majority of cases. When they are not comparable, the site variation effect is much larger than the inter-person variation effect. The clothing resistance model is constructed for individual use and it can be equally applied on both weather and climate data.

中文翻译：

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从人类的角度看匈牙利低地的天气

从人类生物气象学角度研究了匈牙利低地在不同季节（冬季，夏季）和一天中的时间（上午，中午）不同地点的天气。天气的人为热负荷特性用衣服的抵抗力和工作温度来描述。据估计，个人的热负荷与热感觉之间的关系可以研究索普朗（匈牙利的较冷部分）和塞格德（匈牙利的较暖部分）城市的天气变化。在衣着阻力模型中，人类以1.1 ms ^-1的速度行走在室外条件下不出汗。主要发现如下。（1）在初夏的早晨，天气被感知为“中性”或“凉爽”，在这种情况下，人与人之间的变化影响很小。（2）在夏季的中午，记录到热应力（耐衣物参数值小于-2clo）。在这些情况下，高温和高辐射以及低或中等风速是大气环境的特征。这样，人与人之间的变化效果就清晰可见。（3）中午夏季热量过剩的强度似乎大于清晨冬季热量不足的强度。（4）在大多数情况下，人与人之间的差异和索普隆市与塞格德市之间的天气变化所引起的服装抵抗力差异是可比较的。当它们不可比时，地点变异效应远大于人际变异效应。服装抗性模型是为个人使用而构建的，可以同等地应用于天气和气候数据。