34 results about "Radiosonde" patented technology

The invention discloses a water vapor chromatography modeling method and device based on GNSS-MET, and belongs to the technical field of atmospheric water vapor information inversion. According to the method, satellite signals and meteorological parameters are obtained through a GNSS-MET receiver, and the oblique path water vapor content (SWV) is calculated to serve as chromatography input; densely and uniformly distributed observation stations are selected to construct a chromatography area, and voxel grids are divided; a horizontal constraint is constructed by using Gaussian distance weighting, a vertical constraint is constructed in combination with a water vapor vertical index distribution characteristic, and ERA5 reanalysis data is introduced as a prior constraint, so that the limitation of a traditional sounding data constraint is solved; and resolving the tomographic equation through a singular value decomposition (SVD) method to obtain three-dimensional water vapor density distribution. According to the method, the high temporal-spatial resolution characteristic of ERA5 data is utilized, the precision and reliability of water vapor chromatography are remarkably improved, and the method is suitable for the fields of extreme weather prediction, meteorological monitoring and the like.

The invention relates to the technical field of data processing, in particular to a sonde multi-source data quality control processing method and system for a high-altitude environment, and the method specifically comprises the steps: obtaining a space-time asynchronous error, a sensor physical conflict and navigation data abnormity based on the original data of a sonde; analyzing a data quality index of the sonde based on the space-time asynchronous error, the sensor physical conflict and the navigation data anomaly; obtaining an environmental adaptability correction coefficient based on the atmospheric environment characteristics of the height layer where the sonde is located and historical sounding data; analyzing a dynamic measurement error based on the flight attitude and motion state data of the sonde; and the credibility weight of the sonde during multi-source data fusion is predicted based on the data quality index, the environmental adaptability correction coefficient and the dynamic measurement error of the sonde, and whether the data of the sonde meet the high-altitude detection quality standard is judged. The fusion credibility of the multi-source data under the extreme condition is predicted, and the quality control precision of the high-altitude detection data is improved.

The invention discloses a meteorological data transmission method and system of a high-altitude balloon sonde, and relates to the technical field of meteorological data transmission methods. The high-altitude balloon sonde collects multiple pieces of meteorological data in real time along a meteorological detection mode; and the corresponding meteorological dynamic graph is determined based on the plurality of meteorological data, the corresponding azimuth position and the surrounding environment image of the high-altitude balloon sonde, so that the accuracy of the meteorological dynamic graph is ensured. Therefore, a corresponding meteorological data packet is formed based on the meteorological dynamic graph and a plurality of corresponding meteorological data, and the first data transmission mode is determined according to the data volume of the meteorological data packet and the position of the high-altitude balloon sonde; and if yes, determining a second data transmission mode according to the abnormal factors of the abnormal nodes of the data transmission path and the to-be-transmitted data corresponding to the abnormal nodes, thereby improving the integrity and stability of meteorological data transmission of the air ball air detector.

This invention relates to the field of AI weather forecasting technology and discloses a weather forecasting method based on an AI weather forecasting model and a WRF model. The method includes: inputting ERA5 global atmospheric reanalysis gridded data into the AI ​​weather forecasting model to obtain an assimilated background field; constructing an effective multi-source observation vector based on observation data from ground automatic weather stations, radiosonde observation data, geostationary meteorological satellite radiance data, and Doppler radar VAD wind profile data; solving for the optimal atmospheric analysis field; extracting atmospheric state variables from the optimal atmospheric analysis field and writing them into the WRF model's side boundary driving file, driving the WRF model to complete the integration operation, and obtaining a gridded forecast field of meteorological elements. This method enables the WRF boundary condition update frequency to be higher than the traditional 6-hour static scheme, effectively characterizing the rapid evolution of the atmospheric state in the boundary region at the sub-hourly scale, thereby improving the WRF model's forecasting capability for high-impact weather events such as severe convection.

The present disclosure relates to a system, method, and apparatus for mapping the fallout of atmospheric sounding devices such as radiosondes. This technology provides a mechanism for receiving launch data, plotting launch sites, and displaying trajectory heatmaps through a graphical user interface. The system includes features for overlaying concentric range circles, offering interactive timelines, and distinguishing between radiosonde altitudes using color indicators. Additional functionalities enable the display of detailed fallout data, calculation of Circle Error Probable (CEP) for estimating landing sites, and generation of fallout density heatmaps. These capabilities facilitate a comprehensive understanding and management of radiosonde deployment and environmental impact, enhancing the efficiency of meteorological data collection and analysis.

The present invention discloses a method for realizing low power consumption of an airborne radiosonde in a secondary wind sounding radar. In this method, the ground radar measures the distance between itself and the airborne radiosonde, calculates the receiving channel gain of the airborne radiosonde, and controls the receiving channel gain of the airborne radiosonde by sending instructions to the radiosonde; the ground radar measures the distance between itself and the airborne radiosonde, adjusts the working mode of the ground radar and the code rate of the radar detection waveform code, and controls the code rate of the response waveform of the airborne radiosonde by sending instructions to the airborne radiosonde; the ground radar controls the sleep duration of the airborne radiosonde by sending instructions to the airborne radiosonde; the airborne radiosonde controls the working state of the radiosonde according to the working timing, and respectively controls the functional modules of the receiving channel and the transmitting channel to work in a time-sharing manner according to the current working state. Compared with the prior art, the present invention reduces the power consumption of the radiosonde, which is beneficial to extending the working duration of the radiosonde.

This application discloses a method, device, and medium for identifying the phase state of water condensate using dual-polarization radar in winter, relating to the field of radar meteorological detection technology. The method includes: acquiring radar data from a dual-polarization radar; performing spatiotemporal matching between the radar data and radiosonde data to obtain matched radiosonde data; extracting zero-degree layer height information based on the matched radiosonde data and obtaining the average melting layer height in real time by combining it with a quasi-vertical profile; adaptively switching to a summer two-dimensional melting layer feature detection algorithm or a winter three-dimensional melting layer feature detection algorithm based on the height difference between the average melting layer height and the radar station's altitude to obtain refined melting layer spatial information; identifying the phase state of water condensate for each polarization parameter to obtain an initial phase state identification result, and constraining the initial phase state identification result using the refined melting layer spatial information to obtain the final water condensate phase state identification result, thereby improving the accuracy of water condensate phase state identification using dual-polarization radar in winter.

The invention discloses a multi-source sounding data fusion processing method and a related device. The method comprises the steps of filtering a plurality of pieces of sounding second data received in real time based on a detection range and a geographic position range of sounding related equipment, then calculating a data quality score of each piece of sounding second data by using an established multi-dimensional sounding second data quality evaluation model, and calculating a data quality score of each piece of sounding second data according to the data quality score. And in the sounding second data from the same sonde, the sounding second data with the highest quality score in each second is spliced and fused into the complete sounding data of the sonde, and then the complete sounding data of each sonde is obtained through statistical arrangement. According to the data fusion method and device, it can be guaranteed that the data quality of each piece of sounding second data is high, then the data quality, integrity and reliability of the sounding second data obtained through splicing fusion can be guaranteed, and the data fusion mode is more efficient and reliable.

This specification discloses a method and system for optimizing radiosonde data based on time-varying characteristics, comprising: acquiring radiosonde data to be processed; obtaining minute-level radiosonde data based on the radiosonde data to be processed using a linear interpolation method; obtaining minute-level reanalysis data based on the location reanalysis data of the radiosonde station to be processed using a linear interpolation method; and obtaining final radiosonde data based on the minute-level radiosonde data and its weights, and the minute-level reanalysis data and its weights, thereby optimizing the radiosonde data to be processed.

The present invention provides an all-weather assimilation method and device for a satellite microwave temperature and humidity sounder based on the inversion of cloud area temperature and humidity profiles. The method includes the following steps: obtaining satellite data, conventional observation data, and forecast field data; outputting the satellite data determined to be non-clear sky, and inversely obtaining the atmospheric temperature and humidity profiles based on the observed brightness temperature; converting the atmospheric temperature and humidity profiles into the prebufr format in the form of radiosonde data to obtain the non-clear sky area profile information in the prebufr format; performing bias correction on the satellite data determined to be clear sky to obtain the corrected microwave brightness temperature data for the clear sky area; performing quality control on the corrected microwave brightness temperature data for the clear sky area to eliminate the observation data with low quality; putting the non-clear sky area profile information converted into the prebufr format and the microwave brightness temperature data for the clear sky area into the WRFDA assimilation system for data assimilation, and outputting the assimilated analysis field. The present invention can improve the precipitation forecast effect of numerical models.

This invention provides a method and apparatus for reconstructing the three-dimensional temperature and humidity field of a tropical cyclone based on deep learning and sparse observations. The method includes: acquiring radiosonde observation data and satellite remote sensing data for a target tropical cyclone region; mapping the radiosonde observation data onto a two-dimensional grid on multiple preset pressure layers to generate an initial temperature and humidity field containing missing data regions, and generating a mask to identify the missing data locations; interpolating and aligning the satellite remote sensing data onto the two-dimensional grid to form an auxiliary remote sensing field; combining the initial temperature and humidity field, the mask, and the auxiliary remote sensing field at each pressure layer to form a multi-channel input tensor, which is then input into a pre-trained deep neural network model. The model infers and completes the missing data regions, outputting the complete two-dimensional temperature and humidity field for the current layer; and vertically synthesizing the complete two-dimensional temperature and humidity fields corresponding to all pressure layers to obtain the three-dimensional temperature and humidity field of the target tropical cyclone.

The present disclosure provides a method, system and apparatus for correcting satellite observation data. By acquiring microwave radiometer (MWR) movement observation data of a radiosonde observation limited sounding area, correcting the MWR movement observation data based on corresponding radiosonde observation data, and correcting satellite observation data based on the radiosonde observation data and corrected MWR movement observation data, the present disclosure corrects the satellite observation data of the radiosonde observation limited detection area, reduces an error of the satellite observation data, and makes the satellite observation data more accurate. The present disclosure realizes networked observation on vertical sounding of the radiosonde observation limited area, changes a limited observation condition of radiosonde observation only available at 08:00 and 20:00 every day in the original service system, and acquires complete high spatio-temporal resolution vertical sounding data of the radiosonde observation limited area in daytime.

The invention discloses a hail precursor stage area intelligent identification method based on equal-height reflectivity constraint. Belongs to the technical field of meteorological monitoring and disaster prevention and reduction. Comprising the following steps: acquiring radar body scanning and air sounding data, solving a target temperature isothermal surface height by adopting a first cross height method, and carrying out gridding; performing quality control and texture extraction on the dual-polarization parameters, and realizing preliminary classification of the phase state of the hydrogel through fuzzy logic; projecting an isothermal surface and a melting layer to the radial direction of the radar based on a 4 / 3 earth radius model to form geometric consistency constraint, and performing physical constraint on a classification result in combination with convection / layered division; based on the constrained phase state field and isothermal surface height, four types of key operation areas including a strong upflow area, a freezing drop type and vaterite type hail embryo area and a hail wet growth area are identified, equal-high-reflectivity constraint is applied to the strong upflow area to suppress false signals, and KDP missing measurement is used as a forward criterion for the wet growth area. According to the invention, advanced, accurate and business identification of the hail precursor stage is realized.

This invention discloses a method for evaluating near-space atmospheric environment data, comprising: acquiring raw near-space atmospheric environment data; preprocessing the raw data to obtain preprocessed data; establishing a near-space atmospheric variation range based on the preprocessed data; filtering and judging the preprocessed data based on the near-space atmospheric variation range to obtain valid data; gridding the valid data to obtain a verification data source; inputting an evaluation object; matching the evaluation object and the verification data source based on the principle of proximity matching to obtain a matching result; and verifying and evaluating the matching result. This invention rationally establishes threshold ranges for near-space temperature, density, air pressure, zonal wind, meridional wind, wind speed, and wind direction based on statistical results from a large amount of observational data. This invention is applicable to evaluating near-space atmospheric environment data such as reanalysis data, radiosonde data, rocket sounding data, and lidar data.

This invention discloses a method and system for atmospheric temperature profile inversion based on graph neural networks. The method includes acquiring GIIRS long-wave infrared radiation data, ERA5 temperature profile data, and radiosonde station observation data, and performing preprocessing to obtain GIIRS brightness temperature data, preprocessed ERA5 temperature profile data, and preprocessed radiosonde station observation data, respectively. A spatial graph inversion network is constructed, and the GIIRS brightness temperature data and its coordinates are input into the spatial graph inversion network to obtain deep features including location context information. A graph structure is constructed based on the deep features and K-NN. Based on the deep features and the edges of the graph structure, depth features and an adjacency matrix are obtained. The adjacency matrix and depth features are jointly input into a feature aggregator to obtain the atmospheric temperature profile. This invention fully utilizes the spatial information of the data, giving it a significant advantage in atmospheric temperature profile inversion tasks.

The invention discloses a sounding data center management method, system and device and a storage medium. The method comprises the following steps: receiving a health state of a respective processing node monitored by each service probe in real time through a management node, and periodically calculating a health score of each processing node; when a transmission party requests to access, the management node preferentially allocates a current access request to a processing node of which the health score meets a first constraint condition to execute the following steps: based on the access request, selecting an authentication server meeting a second constraint condition from the distributed authentication servers to perform equipment authentication and equipment registration on the transmission party; filtering the equipment of the transmission amplifier according to a built-in data counter; performing data analysis and partition storage on the received sounding data; and distributing the analyzed sounding data to different back-end services according to a set routing rule. According to the invention, the sounding data full life cycle management is realized, the sounding data transmission rate is improved, the authentication pressure is effectively dispersed, and the authentication and management cost is reduced.

The invention relates to the technical field of meteorological observation and environment monitoring, and discloses a low-altitude temperature and humidity profile detection system, which comprises a sonde module used for collecting temperature, humidity and Beidou satellite navigation chip positioning signals in a low-altitude environment and transmitting the signals to a low-altitude detection signal receiver module; the signal preprocessing module is used for denoising and smoothing the received signal; the profile inversion module is used for inverting a temperature and humidity profile based on the processed signal; and the display and output module is used for displaying the temperature and humidity profile in real time and outputting the temperature, humidity and wind data to external equipment. The system is based on a low-altitude detection signal receiver and a low-altitude sonde carried by a 20 # meteorological balloon, and detection of low-altitude (generally within the height of 3000 meters from the ground) temperature, humidity and wind direction and wind speed vertical change conditions is completed jointly. High-precision and high-efficiency real-time detection and comprehensive data display of low-altitude temperature and humidity wind are realized.

This utility model discloses an automatic power-on device for a radiosonde, comprising the following structure: a bracket, a positioning pin, a power-on module, and a limit sensor. The bracket is a fixed structure, the positioning pin is mounted on the bracket, and the power-on module is located at the front end of the bracket, equipped with a cable and a controllable power supply connection. The limit sensor is located inside the bracket. This utility model is suitable for unattended operations in deserts, mountains, extremely cold, and extremely hot uninhabited areas. It utilizes a positioning pin, a power-on module, and a limit sensor, all integrated on a single bracket to form an automatic power-on device. The positioning pin ensures precise positioning and installation of the radiosonde carrier. The limit sensor detects whether the radiosonde carrier is properly installed. A control computer powers the automatic power-on device, thus automatically powering on the radiosonde. This utility model features a scientifically designed structure, convenient operation, strong practicality, and broad application prospects.

This invention relates to the field of meteorological monitoring technology, specifically to a sea front identification method based on machine learning, comprising the following steps: S1, acquiring meteorological station, radiosonde station, and radar echo data of the target area, extracting meteorological element gradients, abrupt change intensity, and land-sea difference, and extracting radar echo features to form multi-source feature data; S2, collecting sea front and non-sea front data to construct samples and dividing them into training, validation, and test sets; S3, jointly analyzing meteorological features to identify the land-sea interaction boundary and constructing a sea front probability field; S4, constructing a machine learning model to fuse multi-modal features and training and evaluating it; S5, inputting multi-source data in real time for sea front identification and outputting early warnings. This invention, by fusing multi-source meteorological data and combining it with a machine learning model, achieves accurate identification and real-time early warning of sea fronts, thereby improving the accuracy and automation level of sea front monitoring.

The invention provides a near space atmosphere profile construction method and device for optical load radiometric calibration, and belongs to the technical field of remote sensing, and the method comprises the steps: constructing reference atmosphere profiles of different height layers based on at least one atmosphere reanalysis data and radiosonde data; constructing an atmospheric profile structure optimization model based on the hierarchical structure data of the reference atmospheric profile and an entrance pupil radiance observation value obtained through observation; and carrying out iterative solution on the atmospheric profile structure optimization model, and taking the optimal solution of the atmospheric profile structure optimization model as the optimal layered structure of the atmospheric profile. By constructing reference atmosphere profiles and atmosphere profile structure optimization models of different height layers, local high-resolution atmosphere characteristics of different height layers can be conveniently determined, the precision of radiation transfer calculation is improved, and the reliability of a radiation calibration result is remarkably improved.

The utility model provides an audio meteorological sounding device, which comprises an outer shell, a cylinder in the middle and arc surfaces protruding outwards at the two ends of the cylinder, the cylinder is elastically connected with the arc surfaces through an elastic sleeve, and a closed cavity is formed in the outer shell; the inner shell forms a closed cavity and is supported in the outer shell; the sound sensor is arranged in the outer shell; the Helmholtz resonant cavity is a rigid cavity which is approximately spherical, one end of the Helmholtz resonant cavity is provided with a through-hole-shaped sound playing port used for transmitting audio to the sound sensor, the other end of the Helmholtz resonant cavity is provided with a receiving end used for receiving vibration, the Helmholtz resonant cavity is embedded into the inner shell in the direction that the sound playing port points to the sound sensor, and the receiving end is exposed out of the outer surface of the shell. According to the utility model, stable detection can be carried out in an atmospheric environment, particle morphology, spatial distribution density and phase state conditions of various particulate matters can be judged, an observation means is added for meteorological sounding business, acoustic audio verification is provided for identification of a troposphere, a humidity characteristic layer and the like of existing sounding, and whole-process audio monitoring of the existing sounding is realized.

The utility model relates to the technical field of meteorological detection, and discloses a large unmanned aerial vehicle meteorological detection plateau configuration, which comprises a nose external load arranged at a nose and in signal connection with a task data recorder through a combined navigation system, and the task data recorder is in signal connection with a control link; the machine head equipment cabin load is arranged in the machine head equipment cabin and is in signal connection with the control link; the nose radar cabin load is arranged in the nose radar cabin and is in signal connection with the task data recorder through the universal interface unit; the belly load is arranged at the front section or the middle section of the belly and is in signal connection with the task data recorder through the universal interface unit; and the sounding pod load is arranged in the sounding pod hung below the wings and is in signal connection with the task data recorder through the universal interface unit. Meteorological monitoring loads are arranged on the nose, the nose cabin, the belly and the lower hanging points of the wings, the carrying positions of the loads do not interfere with one another, and the loads can be independently controlled, so that the usability, the reliability and the expandability are high.

The invention discloses a numerical weather mode multi-source data assimilation method based on a GNSS (Global Navigation Satellite System) water vapor chromatography result, which relates to the field of weather forecast and numerical weather modes and comprises the following steps: arranging a numerical weather mode in a target area; collecting multi-source data of the target area, wherein the multi-source data comprises GNSS water vapor chromatography data, satellite data, radar data and observation data of a ground meteorological station, a sonde and an aircraft; performing data assimilation on each item of data in the multi-source data, and converting the multi-source data into a unified data format; and permutation and combination are carried out on all parameterization schemes of cloud microphysics, cumulus convection, a boundary layer, a land surface and a long and short wave radiation process in the numerical weather mode, the actual operation effect of each scheme combination is evaluated, and an optimal parameterization scheme is obtained through screening. According to the multi-source data assimilation method, the initial field of the numerical weather mode can be improved, so that the weather forecast precision is improved.

This invention relates to a method for calculating the relative altitude of a dropsonde, comprising acquiring a dropsonde data set during the current drop process of a dropsonde, obtaining effective surface data from the dropsonde data set, and calculating the surface air pressure value p of the dropsonde based on the effective surface data. g and ground elevation value h g This updates the initial ground elevation h. g0 and the initial value of surface air pressure p g0 The next radiosonde is deployed, and the above steps are repeated. This application proposes a method for calculating the relative altitude of a drop-sonde by processing and analyzing the landing data of the drop-sonde, thus solving the problem that drop-sondes cannot directly obtain relative altitude. This invention also relates to a device, equipment, and storage medium for calculating the relative altitude of a drop-sonde.

The invention provides a forming and manufacturing method of a hard hollow ball body of a sounding balloon, which is characterized in that thermoplastic forming is mainly carried out through an expanded thermoplastic polyurethane (ETPU) material, the expanded thermoplastic polyurethane is a decomposable high polymer material formed by gathering a plurality of thermoplastic polyurethane foaming particles with sufficient elasticity and very light weight, and the expandable thermoplastic polyurethane foaming particles can be used for forming the hard hollow ball body of the sounding balloon. The hard sounding balloon provided by the invention has the advantages of environmental protection, ultra-light density, difficult deformation, high abrasion, temperature change resistance and yellowing resistance, so that the sounding balloon can keep a stable state for a long time and is difficult to crack when being used for meteorological observation at high altitude.

This invention relates to a method and system for individually calibrating channel coefficients used in a radiosonde. The method includes: S1, sending a command to the radiosonde; S2, if the radiosonde does not respond, returning to S1; if the radiosonde responds, proceeding to S3; S3, outputting a known standard resistance value to the radiosonde, calibrating the actual ADC sampling value according to the known standard resistance value, obtaining calibration result parameters, calculating a target resistance value based on the calibration result parameters, and returning to S1 to store the calibration result parameters; S4, establishing a resistance-ADC mapping model based on the calibrated actual ADC sampling value and the target resistance value, and obtaining the actual resistance value corresponding to the ADC value based on the resistance-ADC mapping model. This invention can effectively improve calibration accuracy.

This invention discloses a method for extracting oceanic low-altitude waveguide features based on meteorological gradients, relating to the fields of marine atmospheric environment detection and radio wave propagation technology. This method constructs a standardized multi-scale meteorological gradient dataset through data preprocessing, and then uses a gradient fusion algorithm to achieve global optimization of the physical constraint fusion factor of the mesoscale meteorological gradient and local modeling of small-scale non-uniform features, forming a high-resolution feature field. Based on this, combined with radiosonde data, a waveguide comprehensive inversion algorithm is used to invert and obtain a full-space waveguide feature parameter set. Finally, the coefficients are adaptively optimized through closed-loop verification using independent measured data. This invention achieves high-resolution integration of mesoscale global constraints and small-scale local features, improving the accuracy of oceanic low-altitude atmospheric environment characterization. Relying on the waveguide comprehensive inversion and closed-loop optimization mechanism, it integrates measured data and multi-dimensional verification, adaptively optimizing core coefficients, enhancing the reliability of waveguide feature extraction and its adaptability to complex ocean-atmosphere environments.

This invention provides a satellite navigation radiosonde signal receiving and processing system, belonging to the field of satellite navigation radiosonde signal receiving and processing technology. The technical problem to be solved is: to provide an improvement in the hardware structure of a satellite navigation radiosonde signal receiving and processing system. The technical solution adopted to solve this problem is: the receiver internally includes an RF front-end preprocessing module, a power divider module, a single-channel receiving module, and a control processing module; the RF front-end preprocessing module internally includes a front bandpass filter, a low-noise amplifier, and a rear bandpass filter. The signal input terminal of the front bandpass filter is connected to the receiving antenna, and the signal output terminal of the front bandpass filter is connected to the signal input terminal of the rear bandpass filter through the low-noise amplifier; the signal output terminal of the rear bandpass filter is connected to the first input terminal of the power divider module. This invention is applied to the receiving and processing of satellite navigation radiosonde signals.

The invention discloses a sonde ball releasing whole process data transmission method, and relates to the technical field of meteorological detection, and the method comprises the following steps: S1, dynamically adjusting the transmitting power through the linear distance between a sonde and a ground station and environment parameters; s2, fusing acceleration, air pressure and speed abrupt change information, and completing sonde ball falling judgment; s3, predicting the falling point of the falling ball of the sonde in combination with the real-time wind speed; s4, constructing an operator evaluation model according to the predicted drop point of the sonde; and S5, formulating an operator network switching rule based on the operator evaluation model. According to the method, the data transmission stability of the sonde is improved by dynamically adjusting the transmitting power, the possible drop point area is predicted, the optimal 4G operator in the area is identified so as to switch the 4G channel in advance, and the data receiving rate of the whole process of lift-floating-ball falling of the sonde is improved.

This invention discloses an on-orbit radiometric calibration method for the thermal infrared channel of a meteorological satellite, comprising the following steps: selecting a suitable working time for the field calibration test based on satellite transit information and weather conditions at the calibration site; using an unmanned surface vessel (USV) carrying an infrared radiometer CE312, releasing the USV via a dock approximately two hours before satellite transit, and navigating on a pre-set route on the lake surface. This invention significantly saves manpower, material resources, and financial investment by utilizing the USV to automatically observe and acquire water surface radiation brightness temperature; by combining this with the acquisition of encrypted atmospheric profile data from radiosondes, the calibration frequency can be greatly increased, and calibration accuracy can be further improved; by comparing the entrance pupil brightness temperature information obtained from the thermal infrared channels of various satellites, the spatial distribution of brightness temperature during the synchronous test period at the calibration site and the degree of influence of cloud and weather conditions on the lake surface can be analyzed, providing significant reference for the selection of the synchronous testing area.