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Due to solar radiation effect, current air temperature sensors inside a naturally ventilated radiation shield may produce a measurement error that is 0.8 K or higher. To improve air temperature observation accuracy and correct historical temperature of weather stations, a radiation error correction method is proposed. The correction method is based...
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In the present study, a new empirical method is proposed for the correction of the daytime radiative temperature error of naturally ventilated radiation shields. The new regression-based method is an improvement of previous studies and was applied to seven different radiation shields. Two variants of the new method and a weighted technic for all me...
Accurate near-surface air temperature is demanded for climate change research. To reduce the air temperature observation error, this paper presents a novel radiation shield. First, a computational fluid dynamics (CFD) method is applied to obtain an optimum design of the radiation shield. Next, the CFD method is used to obtain quantitative radiation...
Citations
... The simulations were performed using Solidworks Flow Simulation 2014 software applying computational fluid dynamics (CFD) analysis [26] to enable simulation of heat transfer by the finite volume method. ...
The paper concerned the issue of ergonomics and thermal comfort of footwear. The presented work was an attempt to apply selected modeling CAD software and the finite volume method for analysis of heat transfer through footwear between the shoes' user and his surroundings. Based on the actual two selected sport shoes, three-dimensional models have been designed, taking into account their different geometry and raw material composition. The models used simplifications related to the internal construction (in microscale) of the specific parts of the footwear (sole, insole, shank, lining and tongue). The main purpose of the work was to determine the influence of the simplifications used on the accuracy of simulation as a tool to predict thermal insulation of real shoes determined by means of thermal imaging camera. The simulations results were in correlation with the experiment and showed that applied software can be an effective tool in studying the thermophysiological properties of footwear.
Accurate air temperature data is necessary to conducting climate research, carbon tax, and emission reduction estimation. However, the temperature error of temperature data provided by a non-aspirated multi-plate radiation shield is on the order of 1 °C due to various factors, especially solar radiation. To reduce this error, a temperature error correction method based on a method of computational fluid dynamics (CFD) and a method of extreme learning machine (ELM) for a radiation shield is proposed. The CFD method is employed to quantify the temperature errors of this type of shield. Then, the ELM method is adopted to form a universal temperature error correction equation. Finally, field experiments are performed to verify the correction accuracy. A 076B aspirated radiation shield served as a temperature reference. The root mean square error (RMSE) and the mean absolute error (MAE) between the measured temperature error results of a 41003 shield provided by the experiments and the corrected temperature error results from this correction method are 0.06 °C, and 0.056 °C, respectively. The RMSE and MAE of a 5980 shield are 0.074 °C and 0.062 °C, respectively. These results indicated that the temperature data might be expected to achieve the accuracy of 0.1 °C by using this correction method.
