Abstract

The annual, seasonal, monthly and daily distribution characteristics, as well as the occurrence and duration of air temperature at Yan Liang Airport were statistical analysis by Matlab software using surface meteorological observation air temperature data from May 2014 to May 2019. It is discussed that the average temperature threshold distribution ranges from 10-25°C in spring, 25-35°C in summer, 15-25°C in autumn and 0-15°C in winter. It showed a good negative correlation with the temperature and relative humidity and it passed the significance test. The daily difference of temperature is positively correlated with the cloud amount. When the total cloud cover is 8-10 amounts, the daily difference of temperature is about 4°C. When the total cloud cover is less than 7 amounts, the daily difference of temperature is 9-10°C. When the total cloud cover is 0-3 amounts, the daily difference of temperature is 9-10°C. Statistics founds that the lowest temperature of Yan Liang Airport in the past 5 years was -13.2 °C, and the highest temperature was 41.8 °C. The minimum temperature occurred in January and the maximum temperature occurred in July. The daily minimum temperature occurred from 05:00 to 07:00 and the daily maximum temperature occurred from 15:00 to 16:00. The corresponding conclusions can provide a scientific basis for the decision of the “window” for a certain subject of flight test. Improve the utilization of meteorological resources and the efficiency that also ensure the progress of the test flight.

Details

Title
Analysis of temperature threshold in flight test
Author
Zhang, Ying 1 ; Wang, Bin 2 ; Liu, Xinyu 1 ; Ni, Ping 1 ; Yan, Wenhui 1 

 Meteorological Observatory of Field Affairs Department Chinese Flight Test Establishment, Xi’an, China; Aeronautical Meteorological Research Center of Aviation Industry Corporation, Xi’an, China 
 Meteorological Observatory of Field Affairs Department Chinese Flight Test Establishment, Xi’an, China; Test Pilot Training and Flight Service Center, Xi’an, China 
Publication year
2021
Publication date
May 2021
Publisher
IOP Publishing
ISSN
17551307
e-ISSN
17551315
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2535455048
Copyright
© 2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.