@Article{fdmp.2020.010328,
AUTHOR = {Juanjuan Wang, Yajuan Jia, Jiangping Nan},
TITLE = {A Simulation of the Response of a Sounding Temperature Sensor Based on the Combination of a Genetic Algorithm and Computational Fluid Dynamics},
JOURNAL = {Fluid Dynamics \& Materials Processing},
VOLUME = {16},
YEAR = {2020},
NUMBER = {6},
PAGES = {1161--1175},
URL = {http://www.techscience.com/fdmp/v16n6/40839},
ISSN = {1555-2578},
ABSTRACT = {The present study aims at improving the accuracy of weather forecast
by providing useful information on the behavior and response of a sounding temperature sensor. A hybrid approach relying on Computational Fluid Dynamics and
a genetic algorithm (GA) is used to simulate the system represented by the bead
thermistor and the surrounding air. In particular, the influence of different lead
angles, sensor lead length, and lead number is considered. The results have shown
that when the length of the lead wire of the bead thermistor is increased, the radiation temperature rise is reduced; when the number of lead wire is four and the
angle between the lead wires is 180°, the solar radiation angle has a scarce influence on the radiation temperature rise of the sounding temperature sensor.},
DOI = {10.32604/fdmp.2020.010328}
}