26 results about "Troposphere" patented technology

A method, device, equipment and medium for independent modeling of troposphere anisotropy of dry and wet convection layers, the method comprising: constructing a troposphere anisotropy model, which adopts a tilted plane horizontal gradient model to respectively describe dry delay anisotropy and wet delay anisotropy; deriving oblique dry delay through a numerical meteorological model, calculating a dry horizontal gradient parameter through the oblique dry delay, and correcting the dry delay anisotropy by using the dry horizontal gradient parameter; taking a wet horizontal gradient parameter as an unknown parameter to be estimated into an observation equation and performing dynamic estimation, and correcting the wet delay anisotropy by using the estimated wet horizontal gradient parameter. The present application adopts an asymmetric processing strategy of dry delay anisotropy model correction and wet delay anisotropy parameter estimation, which not only avoids the ill-conditioned problem of observation equation caused by simultaneous estimation of dry and wet gradients, but also utilizes the high accuracy of the numerical meteorological model in describing the dry delay anisotropy, so that the positioning stability and accuracy are improved at the same time.

The application provides a multi-path signal snow thickness inversion method, device, storage medium and program product. It relates to the field of satellite measurement technology. The method comprises the following steps: obtaining the inter-satellite single difference between each target satellite and a reference satellite according to the carrier observation values of multiple satellites received by a base station at the same time; obtaining the slant path ionospheric delay of each target satellite and the zenith slant path tropospheric wet delay correction value of each target satellite according to the carrier observation value of each target satellite and the tropospheric delay wet component projection function; obtaining the inter-satellite single difference multi-path between each target satellite and the reference satellite based on the slant path ionospheric delay of each target satellite, the slant path tropospheric wet delay correction value and the inter-satellite single difference; and calculating the snow thickness according to the main frequency of the inter-satellite single difference multi-path of the target satellite. The application can achieve the effect of obtaining the snow thickness in time and accurately.

A method and apparatus for constructing a crowdsourced tropospheric delay correction map using low-Earth orbit (LEO) satellite augmentation, includes: constructing a combined LEO satellite augmentation and ionospheric de-radicalization (PPP) function model; using the relative positions among crowdsourced GNSS users as additional constraints, and taking one crowdsourced GNSS user as the absolute position reference, constructing a tropospheric estimation function model based on the LEO satellite augmentation and ionospheric de-radicalization PPP function model; solving the tropospheric estimation function model to obtain the tropospheric parameters of the crowdsourced GNSS users, performing robustness processing to obtain a crowdsourced tropospheric correction product, and uploading the crowdsourced tropospheric correction product to the cloud to form a crowdsourced tropospheric map. This invention combines LEO satellite geometric augmentation with crowdsourced spatial redundancy, enabling users to achieve rapid, even second-level, independent convergence of tropospheric parameters based on their own observations. Simultaneously, reliable tropospheric parameter estimates can be obtained without relying on external bias products, achieving second-level convergence and highly reliable estimation of tropospheric parameters.

The present application belongs to the field of flight test technology, and relates to a kind of indication recording system test flight method suitable for troposphere manned airship.The method comprises: hovering 360 in the three time periods of sunrise, strongest sunlight and sunset respectively;In the above hovering process, it is observed whether the display data displayed by the display is easy to see under different angle illumination conditions;If there is an abnormal working condition in the above process, optimization improvement suggestions are proposed for it, and then the above steps are repeated until the qualified criterion is met.

This provides a real-time kinematic (RTK) solution for mobile devices with multi-constellation, multi-frequency (MCMF) capabilities, where a single base station may have a baseline much farther than that of a traditional base station. To achieve this, the embodiment addresses atmospheric effect differences between the rover and the base station when the GNSS positioning of the mobile device (rover) is fixed, thereby allowing the determination of individual tropospheric delay errors at the base station. The embodiment can utilize additional satellite measurements that are not available without RTK correction, and can also use orbital clock correction for these additional satellite measurements.

The application relates to the meteorological detection technical field and provides a water vapor density determination method and device and a computer readable storage medium. The method comprises the following steps: obtaining target information of each observation device in a plurality of observation devices; the target information comprises first information and air pressure data of an air pressure sensor; determining troposphere delay of a GNSS chip according to the first information; determining zenith troposphere wet delay corresponding to the observation device according to the troposphere delay of the GNSS chip and the air pressure data; taking the product of the zenith troposphere delay and a troposphere wet delay projection function as ray path troposphere wet delay corresponding to the observation device; and determining water vapor density of a target area according to the ray path troposphere wet delay corresponding to the plurality of observation devices. Through the scheme, the cost of water vapor density determination can be reduced, and the accuracy of water vapor density determination can be improved.

This invention discloses an AI-weather-driven GNSS real-time wide-area tropospheric modeling method, comprising the following steps: (1) Initializing the AI-weather model with ERA5 reanalysis data as the background field to predict a high-resolution three-dimensional meteorological parameter field, which is obtained by numerical integration of the meteorological parameters; (2) Using non-difference non-combined PPP-AR to estimate the reference station in real time; (3) Selecting three representative machine learning algorithms to perform spatial nonlinear training and verification on the residual sample set between GNSS-ZWD, in order to select the optimal fusion algorithm; (4) Generating a residual correction field on a regular grid and superimposing it to form a spatially continuous enhanced ZWD grid service; (5) Further combining the ZWD elevation transformation model and spatial interpolation algorithm to obtain the ZWD at any user location and use it for real-time PPP positioning constraints. This invention fully integrates the wide-area continuity of AI-weather with the high-precision advantages of GNSS observation, significantly improving the accuracy of tropospheric wet delay modeling and the PPP vertical convergence speed, and is suitable for wide-area real-time high-precision positioning services.

Embodiments of the present application provide a data processing method, device, equipment, storage medium and program product. The method comprises: obtaining baseline double-difference tropospheric information of a target area in multi-base station observation data; wherein the baseline double-difference tropospheric information comprises double-difference tropospheric delay values between all baselines in the target area; calculating the baseline double-difference tropospheric information to obtain a quartile range corresponding to the baseline double-difference tropospheric information; removing outliers from the baseline double-difference tropospheric information according to the quartile range to generate optimized baseline double-difference tropospheric information; and determining atmospheric correction data according to the optimized baseline double-difference tropospheric information; wherein the atmospheric correction data is used for positioning processing. The method can ensure the accuracy of VRS data and improve the quality of positioning services.

This invention discloses a method and system for forecasting the contribution of stratospheric intrusions to surface ozone. It belongs to the field of atmospheric environment monitoring and forecasting. Based on EAC4 reanalysis data, stratospheric ozone tracer O3S is extracted from the surface layer of the target area. By calculating the difference between its hourly values ​​and the 30-day moving average, and performing hourly interpolation, multi-year time-series hourly data of the contributing pulsation O3S′ is constructed. Secondly, using ERA5 data, combined with a 3D labeling algorithm and spatial dimensionality reduction methods, multi-year historical data of the tropopause folding frequency characteristics in a large-scale region are generated. Thirdly, the folding frequency characteristics are used as input and the multi-year time-series data of O3S′ are used as output to train an XGBoost model. Finally, based on GFS meteorological forecast data, the folding frequency characteristics at the predicted time are calculated, input into the trained model, and the output forecast value is processed to achieve non-negativity. This invention achieves rapid and accurate quantitative forecasting of the contribution of stratospheric intrusions to surface ozone.

This invention discloses a grid atmospheric modeling and PPP-RTK positioning method and system applicable to BeiDou PPP-B2b service. The server combines broadcast ephemeris data with PPP-B2b corrections, and generates high-precision satellite orbit clock errors through benchmark unification processing. A non-differential, non-combined model that takes into account specific satellite clock error deviations is constructed using regional reference station network data to estimate the uncorrected phase delay compatible with these deviations. Based on this delay and orbit clock errors, ambiguity is fixed stepwise, regional ionospheric and tropospheric delays are extracted, and a grid atmospheric enhancement product is generated through a two-layer modeling strategy of fitting and adding residuals. The phase delay and atmospheric product are broadcast to the user terminal. Upon receiving the data, the user terminal recovers the atmospheric corrections, incorporates them as constraints into the observation equations, and performs rapid ambiguity fixing in conjunction with the phase delay to achieve positioning. This invention achieves rapid ambiguity fixing for PPP-B2b service in dynamic scenarios, significantly shortening convergence time and improving positioning accuracy.

This application provides a method, system, and device for tropospheric error correction based on BeiDou satellite signals. The method includes: deploying multiple reference stations within a preset coverage area to receive pseudorange and carrier phase observation data from BeiDou satellites, performing gross error elimination and cycle slip detection on the observation data, and constructing an ionospheric-free combined observation equation; combining real-time precise ephemeris and satellite clock bias, calculating the total zenith tropospheric delay of each reference station using precise single-point positioning technology, and obtaining the zenith wet delay using barometric pressure data and an empirical model; further summarizing the wet delay information from multiple reference stations, and establishing a regional wet delay model by combining topographic factors such as altitude, and converting the zenith delay into a tropospheric correction in the satellite line-of-sight direction using a mapping function. This invention can achieve high-precision tropospheric error modeling and correction under high-altitude and complex terrain conditions, and is applicable to power grid inspection, transmission line monitoring, and high-precision positioning services for BeiDou terminals.

The application relates to a tropospheric delay precision transmission method and system, which comprises the following steps: obtaining the elevation variation component observation value of each reference station based on the horizontal spatial component value and the measured tropospheric delay value of each reference station in a GNSS positioning system; establishing a parameterized function model based on the elevation variation component observation value of each reference station and the station elevation, solving the parameter estimation value of the parameterized function model by adopting a weighted least square method, and calculating the variance-covariance matrix of the parameter estimation value; calculating the elevation variation component standard deviation of the position of a user terminal in the GNSS positioning system by the error propagation law based on the variance-covariance matrix; taking the elevation variation component standard deviation as precision information, and taking the tropospheric delay prior value obtained based on the parameter estimation value as data input together to participate in the positioning solution of the user terminal. The application avoids the problem of parameter correlation enhancement caused by the lack of precision information, and can still realize high-precision ambiguity fixing and positioning solution under complex terrain conditions.

The application discloses a kind of urban heat island concentration calculation method, device and computer equipment, the method includes: according to GNSS observation value calculation zenith troposphere wet delay;According to the zenith troposphere wet delay, the three-dimensional vertical distribution information of wet refractive index is obtained;In horizontal direction, obtain horizontal constraint information;In vertical direction, obtain vertical constraint information;According to the horizontal constraint information and the vertical constraint information, the three-dimensional vertical distribution information is solved, and wet refractive index profile is obtained;According to the relationship between the wet refractive index profile and atmospheric temperature, the urban heat island concentration is calculated.The present application is combined with horizontal constraint and vertical constraint to exclude relevant factor interference, and then based on search method, temperature and humidity pressure can be solved, and then urban heat island concentration can be accurately estimated.

This invention discloses a method and system for predicting tropospheric wet delay based on a physical information neural network. The method first collects real-time meteorological observation data from GNSS stations and preprocesses it. Then, it constructs a tropospheric wet delay prediction model, including a data input module, a hierarchical feature extraction module, a physical information neural network calculation module, and an output module. Next, it trains the tropospheric wet delay prediction model using a training dataset. Finally, it uses the trained tropospheric wet delay prediction model to predict tropospheric wet delay. By explicitly embedding atmospheric refraction physical constraints into the loss function through the physical information neural network framework, it achieves collaborative training and stable extrapolation of data-driven and physical constraints. This invention provides a new paradigm for the unified quantification of physical constraints and uncertainties in high-precision GNSS geodetic data processing and application technology, and offers a more comprehensive and reliable technical solution for the practical application of tropospheric delay correction.

The application discloses a kind of distributed spaceborne D-InSAR troposphere atmospheric three-dimensional water vapor and cloud retrieval method.The application utilizes the multiple sets of differential interference observation data obtained by distributed spaceborne synthetic aperture radar (SAR) at different times, combined with external numerical weather prediction (NWP) data, to realize the inversion of troposphere absolute refractive index;On this basis, based on the physical coupling relationship between absolute refractive index and water vapor, the three-dimensional water vapor structure is obtained by inversion.Further, by comparing the water vapor obtained by inversion with saturated water vapor pressure to calculate relative humidity distribution, and combining the relationship model between cloud amount and relative humidity to set the relative humidity threshold, a binary cloud mask is constructed, so that the inversion of high-resolution three-dimensional cloud distribution is realized.

A kind of optical fiber pulse laser radar system for measuring atmospheric water vapor concentration profile, comprising multi-wavelength optical fiber laser emission module and data acquisition and processing module, three different wavelength pulses are generated by using first, second online seed laser and offline seed laser in multi-wavelength optical fiber laser emission module, two online wavelengths are respectively locked to water vapor absorption peak center by seed light frequency stabilization module, after being alternately output by optical switch, energy amplification is carried out by distributed Bragg reflection type fiber amplification module and emitted to atmosphere, first online wavelength and offline wavelength are combined to detect high layer water vapor concentration in troposphere by data acquisition and processing module, second online wavelength and offline wavelength are combined to detect low layer water vapor concentration in troposphere, and water vapor concentration profile is obtained by inversion.The present application adopts double-wavelength pair adaptive layered detection strategy, combines all-fiber DBR resonant cavity structure, and realizes high-precision, high-spatial and temporal resolution, all-day water vapor concentration profile measurement.

This invention relates to a high-precision tropospheric wet delay estimation method based on optimal interpolation, used for wet delay correction of wide-swath satellite altimetry SWOT observation data over land. The technical approach is as follows: First, initial wet delay values ​​for the swath calculation point and GNSS station are obtained through spatiotemporal interpolation using ECMWF reanalysis data, and the deviation between the initial values ​​and measured values ​​is calculated at the GNSS station. Then, assuming that the water vapor observations at the GNSS station are of equal precision, and in the absence of other external observations, the weighting function is simplified to a weight determined by the equivalent wet distance from the GNSS station to the swath calculation point. Finally, the optimal interpolation method is used to complete the wet delay correction estimation for the swath calculation point. The advantage of this method is that it can transfer the high temporal resolution and accuracy of the measured values ​​from the GNSS station, improve the initial values ​​to obtain a more accurate optimal swath interpolation, and significantly improve the estimation accuracy of wet delay.

Methods for mitigating the effects of an atmospheric-based interference event on the propagation of a radio frequency (RF) signal are provided. A wireless communication network may determine that tropospheric ducting is occurring, causing radio frequencies to travel much further than anticipated. In response to the determination of tropospheric ducting interference (TDI), a user equipment (UE) connected a victim base station using standalone time domain duplexing (TDD) may be instructed to at least partially shift communications to using frequency domain duplexing (FDD). When TDI is reduced, the UE is notified the victim base station has been enabled to communicate using standalone TDD.

The application relates to the technical field of positioning measurement, in particular to a sea-land mixed domain RTK troposphere delay error modeling method and device. The method comprises the following steps: dividing the slant path between the reference stations in the sea-land mixed area and the same satellite into a land slant path section and a sea slant path section; obtaining the troposphere delay of the land slant path section and the troposphere delay of the sea slant path section based on the real-time data flow of each reference station to the satellite; selecting a main reference station, and taking other reference stations as auxiliary reference stations; determining the sea slant path section troposphere delay difference and the land slant path section troposphere delay difference of the main reference station and each auxiliary reference station based on the sea slant path section troposphere delay and the land slant path section troposphere delay of the main reference station and each auxiliary reference station; and determining the inter-station slant troposphere delay between the rover station and the main reference station based on the land slant path section troposphere delay difference and the sea slant path section troposphere delay difference of the main reference station and each auxiliary reference station and the positions of the rover station and the main reference station. The method can solve the problem that the modeling precision of the RTK troposphere delay is limited in the prior art.

This invention discloses a method for generating and broadcasting a high-reliability atmospheric error model product, comprising: acquiring satellite differential code bias correction, ionospheric model data, tropospheric wet delay, and ionospheric slant path delay including differential code bias; establishing a tropospheric model based on the tropospheric wet delay; estimating the differential code bias of the reference station receiver based on the satellite differential code bias correction and ionospheric model data and removing it from the ionospheric slant path delay to obtain an ionospheric slant path delay without differential code bias; establishing an ionospheric model based on the ionospheric slant path delay; calculating the reliability-related parameters of the tropospheric model and the ionospheric model; combining the model parameters of the tropospheric model and the ionospheric model with the corresponding reliability-related parameters to obtain a high-reliability tropospheric delay model and a high-reliability ionospheric delay model; encoding and broadcasting the model to users so that users can obtain high-precision atmospheric error delay data and its reliability.

This invention discloses a method for monitoring and early warning of icing on power transmission lines that integrates BeiDou and PolSAR. The method includes: synchronous acquisition and preprocessing of multi-source data; inversion of high spatiotemporal resolution atmospheric precipitable water using BeiDou CORS station data, combined with temperature and pressure data to calculate the tropospheric delay phase; simultaneous correction of orbital errors in PolSAR images using precise BeiDou ephemeris data; extraction of a set of characteristic parameters closely related to icing conditions; establishment of an icing thickness inversion model based on phase change and polarization characteristics after fusion correction; construction of an icing growth prediction model based on time-series icing thickness inversion results, combined with near-real-time atmospheric temperature and humidity data inverted from BeiDou and numerical weather prediction data; and initiation of icing early warning based on real-time inverted thickness, predicted thickness, and line design icing thickness. This method addresses the problems of existing technologies that primarily focus on icing condition identification but lack accurate prediction and early warning capabilities for icing growth trends.

The application discloses a three-dimensional water vapor tomography method and device based on a mobile Beidou device and a storage medium. The method comprises the following steps: acquiring regional characteristic data of a target monitoring area; planning an observation path for a mobile carrier carrying a Beidou receiving device based on the regional characteristic data, and controlling the mobile carrier to travel along the observation path; acquiring Beidou observation data collected by the Beidou receiving device during the travel of the mobile carrier; determining zenith troposphere delay parameters of a Beidou satellite signal based on the Beidou observation data, and decomposing the zenith troposphere delay parameters into zenith wet delay parameters; determining atmospheric precipitable water of each observation position in the target monitoring area based on the zenith wet delay parameters, determining a water vapor tomography observation function, and analyzing a three-dimensional water vapor field in the target monitoring area based on the atmospheric precipitable water and the water vapor tomography observation function.

This invention relates to the field of river flood early warning technology, solving the technical problem that existing technologies lack deep fusion of high-precision total water vapor information with high-resolution spatial information from radar, resulting in underestimation of rainfall and affecting the accuracy of flood warnings. Specifically, it relates to a flood early warning method for small and medium-sized rivers based on BeiDou and a rainfall radar. This method collects and preprocesses BeiDou GNSS observation data and radar data within the target watershed to obtain clean carrier phase data and radar reflectivity data. Based on the clean carrier phase data, it calculates the tropospheric zenith total delay and separates the zenith wet delay. This invention utilizes the strong penetrating power of BeiDou GNSS signals and their immunity to rainfall attenuation, solving the problem of underestimation of rainfall caused by severe radar signal attenuation under strong convective weather. It overcomes the shortcomings of traditional single-radar attenuation correction divergence under heavy rainfall, significantly improving measurement accuracy under extreme weather conditions.

The present application belongs to the technical field of flight test, and particularly relates to a method for testing flight of a fuel system of a stratosphere manned airship under the condition of unavailable fuel. The method comprises the following steps: adding an auxiliary fuel supply system to the airship, so that the fuel system of the airship supplies fuel to one main engine, and the auxiliary fuel tank supplies fuel to other engines; and testing flight of the fuel system under the condition of unavailable fuel.

This invention discloses a method for fine reconstruction of tropospheric vertical structure considering regional characteristics, comprising: obtaining the tropospheric wet refractive index error of each isobaric layer using a pre-trained meteorological large model, and obtaining a gridded vertical error elevation based on the tropospheric wet refractive index error of each isobaric layer; refining the pre-trained meteorological large model regionally using a freeze-fine-tuning strategy based on the gridded vertical error elevation, specific regional topographic factors, and physical constraints to obtain a refined meteorological large model, and reconstructing the tropospheric wet refractive index of each isobaric layer; mapping the tropospheric wet refractive index of each isobaric layer to the tropospheric wet refractive index of a fixed geometric height layer, and generating a real-time tropospheric wet-delay vertical structure grid product covering a specific region and possessing uncertainty indicators using numerical integration methods and error propagation laws. Based on this, this invention achieves fine reconstruction of the real-time high-resolution wet-delay vertical structure of a specific region.

The present application relates to the technical field of GNSS satellite navigation positioning and GNSS meteorology, in particular to a method for fusing GNSS and ERA5 tropospheric zenith delay in a small area, which comprises correcting the geopotential height of four adjacent ERA5 grid positions of a GNSS station to the ellipsoidal height of the GNSS station, and interpolating the ERA5 tropospheric zenith delay of the four adjacent grid points to the GNSS station based on the inverse distance weighting method. The present application corrects the systematic deviation of ERA5 ZTD, makes up for the deficiency of traditional interpolation methods which excessively rely on the distribution density of stations, supports the flexible construction of ZTD grid with different spatial resolutions to balance the calculation load and spatial details, effectively eliminates the systematic error and restores the smoothed local micro-meteorological details through the fine statistical modeling of the residual grid, and realizes the regional tropospheric delay modeling with high precision and high spatial resolution.