【摘 要】
：
Water vapor is the most active component of the atmosphere, playing a significant role in formation of severe weather such as thunderstorms and hail. Therefore, accurate water vapor information is of
【机 构】
：
Department of Survey Engineering and Geomatics, Central South University, Changsha, China
论文部分内容阅读
Water vapor is the most active component of the atmosphere, playing a significant role in formation of severe weather such as thunderstorms and hail. Therefore, accurate water vapor information is of great significance for studying its temporal and spatial variation and regional weather forecasting. Obtaining atmospheric PWV from GNSS observations requires two key meteorological parameters weighted mean temperature and surface pressure. Meteorological parameters are typically measured by sensors deployed at the GNSS station. However, a large number of GNSS stations are mainly used for positioning, and are not equipped with meteorological sensors, so that the water vapor cannot be accurately estimated. In this paper, the GPT2w model and the method of meteorological data interpolation are used to simulate the meteorological data observation. It is found that the GPT2w model and the meteorological data interpolation can accurately retrieve the water vapor content, but the method of interpolating meteorological data is more accurate than the GPT2w model. In addition, the paper also analyzes the interpolation accuracy from four aspects: the number of interpolated stations, the distance between the interpolated stations, the height difference between the interpolated stations, and the weather conditions. It is found that when the height difference between the interpolated and target stations is small, the meteorological data obtained by interpolating from a short distance station is more accurate. In terms of weather conditions, the interpolated value of sunny day is more accurate; the interpolation accuracy is not directly related to the number of interpolated stations used.
其他文献
Earth Rotation Parameter (ERP) is one of the most important parameters in the area of positioning and navigation, autonomous orbit determination and Earth reference framework. However, due to the rest
Adaptive antenna array technology used to improve the anti-jamming ability of navigation receiver now. Inversion process in adaptive antenna array anti-jamming is complicated in FPGA, which takes up a
Given the communication features of STDMA among inter-satellite links, this the-sis proposed a hierarchical planning method for the inter-satellite links network of navigation constellation. First, we
The GNSS signals are vulnerable to radio frequency interferences. Among these interferences, continuous wave interferences (CWIs) are able to jam the GNSS signals. After pulse-modulation, the CWIs fur
In this paper, we systematically discussed and analyzed the uncertainties of four typical time transfer links, including the satellite-ground two-way link, the satellite-ground lambda link, the ground
This paper focuses on the approach to attitude estimation. When describing the attitude of a dynamic object, the quaternion has a better numerical continuity and stability compared with other conventi
The message service is the most distinctive part of the BeiDou System (BDS), whose coverage area will be expanded from China & surroundings to the global surface space at BDS-3 stage. This is an innov
Snowfall is an important freshwater resource; manual monitoring and laser detection can monitor snow to a certain extent, but there is a lot of uncertainty in time and space.Traditional ground-based g
This Soil moisture is an important part of the surface water cycle. Effective monitoring of soil moisture is of great significance for weather forecasting, flood forecasting and crop growth. Existing
Compared with the current multi-step method to solve the coordinate of the transponder, the combined solution of GNSS observation data and acoustic observation data is more consistent with the actual