日太阳辐射、温度和湿度模式的产生

B.A. Kimball, L.A. Bellamy
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引用次数: 34

摘要

温室和其他农业结构的能源和用水评估以及植物生长模拟研究需要太阳辐射、温度和湿度的昼夜模式。此外,这些昼夜天气模式数据对于世界上大多数地方来说都不容易获得。更多可用的是日太阳辐射总量、最高和最低气温以及蒸汽压的月平均值。从文献中提取了一些简单的模型,并对其进行了修改,以根据这些数据生成昼夜模式。然后将模型值与新西兰、丹麦和美国共11个地点的实际日数据进行比较。对于太阳辐射,一个简单的半余弦模型与观测值的总均方根(rms)差为16.3 W m−2,但对日照长度进行了轻微调整,以达到这一低rms值。在气温方面,对帕顿和洛根的模型进行了修改,迫使夜间气温在日出时降至最低。该修正方程与观测值的总均方根差为0.64°C。蒸汽压模型是一个简单的常数,等于日平均值,与观测值之间的总均方差为0.042 kPa。然后,可以根据恒定的蒸汽压和昼夜温度值来计算昼夜相对湿度值。因此,这些简单的模型应该足以产生许多应用的昼夜太阳辐射、温度和湿度模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generation of diurnal solar radiation, temperature, and humidity patterns

Diurnal patterns of solar radiation, temperature and humidity are needed for energy and water use evaluations of greenhouses and other agricultural structures, as well as for plant growth simulation studies. Moreover, these diurnal weather pattern data are not readily available for most locations around the world. Somewhat more available are mean monthly values of total daily solar radiation, of maximum and minimum air temperature, and of vapor pressure. Some simple models were taken from the literature and modified to generate diurnal patterns from such data. Model values were then compared to actual diurnal data from a total of eleven locations in New Zealand, Denmark and the United States. For solar radiation a simple half-cosine model had an overall root-mean-square (rms) difference from observations of 16.3 W m−2, but the daylength was adjusted slightly to attain this low rms value. For air temperature, the model of Parton and Logan was modified to force the nighttime decrease in temperature to the minimum near sunrise. This modified equation had an overall rms difference from the observations of 0.64°C. The model for vapor pressure was a simple constant equal to the daily average, and it had an overall rms difference from observations of 0.042 kPa. Diurnal relative humidity values could then be calculated from the constant vapor pressure and diurnal temperature values. Thus, these simple models should be adequate for generating diurnal solar radiation, temperature, and humidity patterns for many applications.

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