Regional atmospheric water vapor real-time monitoring method and system based on CORSs

Abstract

The invention discloses a regional atmospheric water vapor real-time monitoring method and system based on CORSs. The regional atmospheric water vapor real-time monitoring method comprises the steps that observation values of all the CORSs are collected into a data center in real time to form GNSS data; an IGS precise track and the precise clock difference are obtained to correct a product in realtime, the GNSS data are read in, and the total delay of the atmosphere above all the CORSs is estimated through a precise point positioning technology; the wet delay in the total delay of the atmosphere is converted into the water vapor content of the atmosphere through a global weighted average temperature model, and thus the water vapor content of the atmosphere above zeniths of all the CORSs is obtained; the water vapor content of the atmosphere is interpolated through a kriging interpolation method, and thus the water vapor content of the atmosphere in the region with the specific time resolution and the specific spatial resolution; and through the water vapor content of the atmosphere in the region, the water vapor content above the region is monitored in real time. The regional atmospheric water vapor real-time monitoring method and system based on the CORSs have the remarkable effect that real-time, stable, high-precision, high spatial and temporal resolution, all-weather and all-day water vapor monitoring is achieved.

Description

technical field [0001] The invention relates to the technical field of atmospheric water vapor detection, in particular to a method for real-time monitoring of regional atmospheric water vapor based on CORS. Background technique [0002] Water vapor is a trace gas in the earth's atmosphere. It accounts for a very small proportion in the atmosphere, only 0.1% to 3%, but it is the most active component in the atmosphere. Compared with other trace gases, water vapor is more important. Weather phenomena are mostly the result of changes in atmospheric water vapor. Water vapor absorbs and releases a large amount of latent heat during the phase transition process, directly affecting the ground and air temperature, and further affecting the vertical stability of the atmosphere and the formation of convective weather systems. The three-dimensional distribution of atmospheric water vapor, vertical transport of water vapor and phase transition are one of the dynamic mechanisms restrict...

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Problems solved by technology

However, these detection methods have the following disadvantages: radiosondes cannot be reused, and the cost is high; at the same time, weather stations generally use sounding observations every 6 hours or 12 hours, and their time resolution is too low to achieve real-time atmospheric water vapor monitoring; the microwave radiometer passively receives microwave signals of temperature radiation from various heights to measure atmospheric parameters, and the cost of equipment is higher, and the price of a single piece of equipment has reached hundreds of thousands of yuan; The time interval to visit the same place is long. Taking MODIS as an example, its satellite revisit cycle is four times a day, which is far from the purpose of real-time water vapor monitoring. In addition, the water vapor detection of MODIS is also affected by clouds and rain.

However, the post-event precision ephemeris and clock error products, such as the final ephemeris or fast ephemeris, have a delay of more than ten to several days, and can only be used for post-event atmospheric water vapor calculations, which cannot meet real-time atmospheric water vapor monitoring.

The release of the ultra-fast ephemeris is delayed by 3 hours, and the orbit accuracy of the forecast meets the requirements of precise single-point positioning, but the clock error accuracy is limited, and it is impossible to monitor atmospheric water vapor at the millimeter level

[0006] In summary, although various GNSS-based atmospheric water vapor detection methods have been proposed, there is currently no real-time low-cost and cheap atmospheric water vapor monitoring method based on GNSS

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