Research of High Altitude Meteorological Data Processing Method

摘要：

Aiming at the relationships of the high altitude meteorological parameters, such as longitude, latitude, atmospheric pressure, temperature and humidity, the methods of least squares fitting test data and error analysis by MATLAB are proposed in this paper. Temperature, humidity and air pressure change curve equations are established at the different longitude, latitude and altitude, and the influence of temperature and pressure on humidity detection accuracy is analyzed. The results show that the temperature fitting residual error is in -3 (℃) ~ + 4 (℃), humidity fitting residual error is in -7％ ~ + 5％, the detection error precision is improved effectively, which can provide reliable compensation theory basis for signal detection.

关键词： component meteorological sounding humidity detection data processing

作者: Yang Qiu Yunbo Shi Yi Luo Debin Xiu Qi Sun Chunzhi Ge Huijie Nan

作者单位: The Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentation of Heilongjiang Province Institute of Measurement-Control Technology & Communications Engineering, Harbin University of Science and Technology Harbin, China

会议类型: 国际会议

会议名称: 2012 International Conference on Measurement,Information and Control(2012测量、信息与控制国际会议 ICMIC2012)

会议地点: 哈尔滨

会议语种:英文

页码: 46-49

在线出版日期: 2012-05-18（万方平台首次上网日期，不代表论文的发表时间）