41 results about "Atmospheric model" patented technology

The invention provides a far-zone electromagnetic pulse waveform simulation method and system, and the method comprises the steps: introducing an international reference geomagnetic model, an international reference ionosphere model and an international reference atmosphere model when a waveguide parameter of a single-frequency signal segmented along a path is calculated through an LWPC model; the obtained geomagnetic parameters, the ionosphere electron density and the electron collision frequency contain influences of time and space, solar disturbance and geomagnetic changes, are used for simulation of the far-zone electromagnetic pulse waveform, and can improve the simulation precision of the far-zone electromagnetic pulse waveform.

The invention discloses a floating object track prediction and tracing method and system based on WRF and HYSPLIT models, and relates to the technical field of power system power transmission line operation and maintenance, and the method comprises five units: a data acquisition unit, a three-dimensional atmosphere model construction unit, a floating object track prediction unit, a floating object tracing unit and a result display unit. The data acquisition unit acquires meteorological data and floating object information. The three-dimensional atmosphere model construction unit constructs an applicable three-dimensional atmosphere model on the basis of a WRF weather forecast mode. The floater trajectory prediction unit predicts the future trajectory of the floater through an HYSPLIT mixed single-particle Lagrange comprehensive trajectory model in combination with weather forecast data. The floating object traceability unit inverts the historical motion trail and source of the floating object. And the result display unit displays the floating object track prediction and traceability result based on a geographic information system. According to the method, the safety and reliability of the power transmission line are improved, accidents such as line hanging and tripping of the floaters are reduced, and accurate trajectory prediction and source inversion of the floaters are realized.

The invention relates to the technical field of meteorological and ocean numerical forecasting, and aims to solve the problems of strong manual dependence, poor timeliness, high error risk and low resource utilization rate in coupling operation of a WRF atmosphere model and an ROMS ocean model. The method comprises the following steps of: storing an initial file into a date catalogue which is dynamically generated according to a YYYMMDD format after the initial file is subjected to integrity verification; the timed task checks nc.lock / nc.tone files every X minutes, a lock starting model is created when no lock exists and an initial file exists, and an ROMS needs to confirm nc.tone of a WRF result directory first; automatic exception processing is carried out when the model is overtime, and after completion of the automatic exception processing, a Done is created, a lock is deleted, resources are released, and computational nodes are dynamically allocated. According to the method, automatic scheduling is achieved through double-file marking, manual operation is shortened to be within one minute, model connection delay is shortened to be within five minutes, the failure rate is reduced, the resource utilization rate is improved, and a reliable scheme is provided for model business operation.

The invention discloses an aviation radiation dose global distribution real-time calculation system based on ground detection equipment, which belongs to the technical field of radiation detection and comprises a ground radiation detection module, a dose simulation module and a data correction module. The ground radiation detection module is used for continuously collecting ionizing radiation data of an atmospheric bottom layer in a calm state and a solar high-energy particle event so as to improve data precision and a signal-to-noise ratio under a weak dose, and the dose simulation module receives latitude and longitude, height and time parameters of an aviation flight path, and calculates a standard atmospheric model and a cosmic ray energy spectrum in combination with the standard atmospheric model and the cosmic ray energy spectrum. The data processing module is used for calculating theoretical dose rates and particle type distribution of different height levels based on a Monte Carlo method and outputting the theoretical dose rates and the particle type distribution, and the data correction module is used for dynamically correcting parameters and weights of simulation results by combining measured data based on a deep learning algorithm of deep learning, so that adaptive fusion of the simulation data and the measured data is realized; and the ground radiation detection module comprises a semiconductor radiation detector, a data acquisition and preprocessing unit, a remote control module and a network communication module. The system has the characteristics of high real-time performance and wide coverage range.

The invention discloses a GNSS occultation open-loop forecasting method based on a cubic spline interpolation algorithm, and relates to the field of occultation open-loop forecasting. The method comprises the following steps: judging whether a current navigational star is atmospheric occultation or not through an occultation event forecasting algorithm; acquiring position and speed information of atmospheric occultation and a low earth orbit; carrying out occultation forecast calculation on atmospheric occultation by adopting an atmospheric model to obtain model Doppler caused by satellite motion and model pseudo-range caused by neutral atmosphere; the method comprises the following steps: caching n-second model Doppler, model pseudo-range and open-loop forecast time of occultation in a 1HZ task, and obtaining interpolation parameters of the model Doppler and the model pseudo-range by using cubic spline interpolation; through the interpolation parameters, carrying out interpolation to obtain a 100HZ model Doppler and a 100HZ model pseudo-range; through the model pseudo-range, signal emission time is obtained through calculation; through signal emission time of a 100HZ task period, a signal emission time deviation value is obtained through calculation and converted into a hardware adjustment count, and the hardware adjustment count is transmitted into FGPA adjustment so as to carry out open-loop tracking of atmospheric occultation.

The invention relates to the technical field of atmospheric parameter inversion models, provides an atmospheric model construction method and system based on virtual temperature correction, and solves the problem of insufficient dynamic scene adaptability. The method comprises the following steps: acquiring a radiation brightness observation value of a satellite thermal infrared band, synchronously recording a satellite observation zenith angle and an azimuth angle, and collecting earth surface coverage type data, dew point temperature and corresponding height information; and uplink and downlink radiation components are eliminated. A normalized vegetation coverage index is calculated based on satellite red light and near-infrared band reflectivity data, a specific emissivity mapping relation is constructed in combination with a land surface coverage type, and land surface specific emissivity space distribution is inverted. And generating vertical stratified atmosphere data based on the dew point temperature and height, and constructing radiation transmission path correction parameters in combination with the observation angle. And finally, establishing an atmospheric radiation transmission model, and outputting a continuous spatialization virtual temperature field. According to the method, the problem of insufficient dynamic scene adaptability in the prior art is solved, and high-precision inversion of the atmosphere deficiency temperature vertical section is realized.

The invention discloses an infrared simulation method and system based on a neural network and GPU parallel computing, and belongs to the field of infrared simulation. Fitting an all-weather atmospheric transmittance and a radiation value received by the earth surface by using an atmospheric model; preprocessing the infrared simulation data, and calculating a patch shielding probability value and a patch temperature value in a simulation scene by using a distributed GPU parallel framework; wherein the number of sampling points is dynamically adjusted through an adaptive patch sampling method in combination with the geometric area and complexity of a patch so as to calculate a patch shielding probability value, and the patch shielding probability value is introduced when a patch temperature value is calculated; and optimizing the surface patch temperature value to obtain a surface patch steady-state temperature value, calculating the radiation brightness of a specified wave band according to the surface patch steady-state temperature value, and finally rendering to obtain an infrared simulation image of a specified view angle under the specified wave band. The method solves the problems that in the prior art, radiation value and temperature field calculation is complex, shielding calculation efficiency is low, heat conduction simulation capacity is insufficient, and self-adaptive sampling is not fine enough.

The embodiment of the invention provides an atmospheric modeling coefficient determination method and device, electronic equipment and a storage medium. The method comprises the following steps: determining a plurality of candidate baselines and atmospheric modeling coefficients according to coordinate values and observation values of a reference station and ephemeris of a common-view satellite, and determining modeling residuals of the plurality of candidate baselines based on the atmospheric modeling coefficients; determining whether the atmospheric modeling coefficient meets a preset condition or not; if the preset condition is not met, determining a target baseline in the plurality of candidate baselines based on the modeling residual error, removing the target baseline, and updating a plurality of auxiliary reference stations included in the reference station network by adopting auxiliary reference stations corresponding to the remaining candidate baselines, returning to continuously execute the step of determining the plurality of candidate baselines and the atmospheric modeling coefficients according to the coordinate values and the observation values of the reference stations in the reference station network and the ephemeris of the common-view satellite; and if a preset condition is met, taking the atmosphere modeling coefficient as a target atmosphere modeling coefficient. The method is used for achieving the effect of improving the accuracy and reliability of the atmospheric modeling coefficient.

The invention belongs to the field of advection atmospheric mode algorithm development, and discloses a shape-preserving advection unified calculation method and system suitable for any polygon mesh, and the method comprises the following steps: carrying out the mesh division of a calculation domain of a standard example in an advection equation algorithm; standardized grid topology information is constructed for the grid units of the computational domain; initializing a standard example in the algorithm of the advection equation; and performing discretization solution on the advection equation through standardized grid topology information to complete shape-preserving advection unified calculation. According to the method, a general advection solution with calculation precision and stability can be provided for a complex grid numerical model in the fields of atmosphere simulation, ocean circulation and the like, and the development period of an atmosphere advection mode can be remarkably shortened.

The present invention discloses a GNSS occultation open-loop prediction method based on a cubic spline interpolation algorithm, and relates to the field of occultation open-loop prediction. The method comprises: determining whether the current navigation satellite is atmospheric occulted using an occultation event prediction algorithm; obtaining position and velocity information of the atmospheric occultation and the low Earth orbit; performing occultation prediction calculations on the atmospheric occultation using an atmospheric model to obtain a model Doppler caused by satellite motion and a model pseudorange caused by a neutral atmosphere; obtaining interpolation parameters of the model Doppler and model pseudorange by caching n seconds of model Doppler, model pseudorange, and open-loop prediction time of the occultation in a 1 Hz mission using cubic spline interpolation; obtaining the 100 Hz model Doppler and model pseudorange by interpolation using the interpolation parameters; and calculating the signal transmission time using the model pseudorange; calculating the signal transmission time deviation value using the signal transmission time of the 100 Hz mission cycle, and converting the calculated signal transmission time deviation value into a hardware adjustment count for input into the FGPA adjustment, thereby performing open-loop tracking of the atmospheric occultation.

The invention discloses a method for judging spatial atmospheric density, which is specifically implemented according to the following steps: a user provides input parameters, which are recorded as in; in is normalized; a constant term 1 is added to the parameter sequence after normalization operation; a neural network input layer weight matrix is ​​multiplied by the input sequence, and the number of calculations of the neural network hidden layer is n=1; a constant term 1 is added to the input sequence, so that a(n)=[a(n);1], so that the transformed input parameter sequence a(n) is multiplied by LW(n), a(n)=LW(n)*a(n), and a hidden layer calculation is completed; step 6, n=n+1, if n>3, the hidden layer calculation is completed, and the next step is entered; otherwise, n=n+1 is set, and the previous step is repeated to complete the next hidden layer calculation; the output layer is calculated; the calculation result is reversely normalized to obtain the spatial atmospheric density, and the spatial atmospheric density judgment is completed. The atmospheric judgment accuracy of the traditional atmospheric model in the spatial range can be improved.

The invention provides a troposphere mixed Kalman filter-neural network inversion method and system based on satellite-borne GNSS data, and belongs to the field of meteorological data processing. The problems that in an existing troposphere inversion technology, a single atmosphere model is difficult to accurately describe all environment conditions, and the atmosphere model is low in precision, low in calculation efficiency and poor in real-time performance are solved. According to the method, the meteorological parameters are estimated by using the neural network, the optimal neural network estimation parameters are found through comparison, so that the accurate meteorological parameters are estimated, the parameters serve as an observation equation of a Kalman filter, time sequence meteorological parameter tracking is achieved, and inversion of the troposphere is achieved through iterative tracking. According to the method, the troposphere inversion precision, efficiency and robustness are remarkably improved, atmospheric interference can be effectively reduced, the satellite navigation positioning precision is improved, a weather forecast and communication system is optimized, meanwhile, high real-time performance and adaptability are achieved, and wide application prospects and remarkable economic benefits are achieved.

The invention relates to the technical field of data processing, and discloses a horizontal grid registration and parallel computing method and system in climate mode coupling. The method comprises the following steps: performing registration processing on an atmospheric mode component through a component identity verification algorithm to obtain a mode component identifier; analyzing the horizontal grid geometric parameters according to the mode component identifier to obtain a grid basic information set; constructing masked and maskless horizontal grid configurations based on the grid basic information set; performing parallel domain decomposition processing on the dual grid configuration to obtain a parallel decomposition mapping table; establishing a global and local grid index bidirectional mapping relationship; and performing time step synchronization registration based on the bidirectional mapping relation to obtain a coupling validity verification result. The technical problem that a self-adaptive grid registration and parallel decomposition processing mechanism for air-sea coupling special requirements is lacked in an existing climate mode coupling technology is solved.

The invention provides a positioning method and system, electronic equipment and a storage medium, and the method comprises the steps: determining the position information of a virtual reference station in response to the approximate position information sent by user side equipment; according to the position information of the virtual base station, a plurality of first base stations are selected to construct a first regional atmosphere model, all satellites which can be jointly observed by the first base stations are composed of a reference satellite and at least one non-reference satellite, and the plurality of first base stations comprise a master station; selecting a plurality of second reference stations according to the position information of the master station; based on the first regional atmosphere model, the plurality of second reference stations and the reference satellites, determining external coincidence quality factors of the non-reference satellites in the virtual reference station; and according to the external coincidence quality factors of the non-reference satellites at the virtual base station, determining the quality factors of the observed values of the non-reference satellites at the virtual base station, and sending the quality factors to the client equipment for positioning, so that the stability of the NRTK service and the accuracy of the positioning result can be improved.

The present application relates to the technical field of atmospheric model and numerical simulation, and particularly relates to a tree crown drag wind speed attenuation parameterization method based on a turbulent flow physical model, which obtains street geometric parameters and tree structure data, calculates a three-dimensional equivalent leaf area index, and decomposes the three-dimensional equivalent leaf area index into a leaf area density varying with height; after being further converted into an equivalent windward area density, the equivalent windward area density is substituted into a momentum equation, a crown layer drag source term is defined and a crown layer turbulent production term is calculated; finally, the crown layer turbulent production term is coupled with a turbulent flow equation, and velocity and shear stress conditions of the ground, the tree crown edge and the roof are combined to obtain a street height layered wind speed profile by numerical solution. The present application significantly improves the wind speed attenuation simulation capability of a street with trees by a three-dimensional parameterization method, makes the wind speed profile more continuous and reasonable, and is highly consistent with a CFD simulation result, and is suitable for urban wind environment evaluation and air pollution simulation.

The present invention discloses a method and device for numerical simulation of offshore wind farms based on wave-air field coupling. The invention utilizes a parallel coupler to couple the atmospheric model, ocean model and wave model of an open computing framework in real time, realizes the variable interaction between the three component models of ocean-wave-atmosphere, and completes the numerical simulation and resource assessment of offshore wind farms considering the sea-air effect. Based on this, a wind farm parameterized model considering the sub-grid wake interference effect is added to obtain the wind resource characteristics of the offshore wind farm area, and realize high-fidelity numerical simulation of offshore wind farms under the action of sea and air. The present invention forms a numerical simulation method and device that takes into account the multi-physics and multi-scale coupling between wave and air field, which not only improves the numerical simulation method of offshore wind farms, but also significantly improves the accuracy of offshore wind resource prediction.

The present disclosure is directed to systems and methods enabling federated learning of atmospheric models for satellite-based navigation, via crowdsourcing training data. One method includes, causing, at a computing device, a determination of an error metric based on a difference between a set of measured values and a set of expected values. The set of expected values is based on an atmospheric model and a geolocation. The set of measured values is based on a set of satellite signals received at the computing device from a set of satellites. The error metric may be for the atmospheric model. The method further includes causing a transmission of a data structure from the computing device to an atmospheric model service. The transmitted data structure encodes the error metric (e.g., training data). The atmospheric modeling service employs Bayesian inference and the error metric as a conditional probability to refine the atmospheric model.

The application discloses a complex terrain processing method and system suitable for a three-dimensional non-hydrostatic atmospheric model, which comprises the following steps: adopting preset regional terrain data and an atmospheric background field, and performing atmospheric model preprocessing on the terrain data; performing key grid identification on the preset region to obtain a grid distribution, marking terrain nearby grid points according to the grid distribution and recording distance and slope information, obtaining a marked grid distribution, dividing the marked grid distribution according to a process number and calculating a sub-region, and performing adaptive grid encryption on the sub-region; updating a forecast variable value at a next moment by updating an atmospheric equation group of the sub-region after high-order numerical discretization, generating a logarithmic velocity profile based on the Monin-Obukhov similarity theory, processing an atmospheric velocity of a boundary layer according to the logarithmic velocity profile to obtain an ideal velocity distribution curve, and outputting atmospheric motion characteristics under a complex terrain by correcting a forecast variable on a grid point near a lower surface boundary.

The application discloses a digital-twin spatial channel continuous variable quantum key distribution method, and relates to the technical field of quantum information processing.The method comprises the following steps: constructing a satellite-ground station link model between a satellite and a ground station according to satellite orbit parameter data and ground station position information, and calculating satellite-ground station link dynamic parameters; constructing an atmospheric model based on the satellite-ground station link dynamic parameters and atmospheric parameters to simulate link attenuation loss at different times under a single orbit in the satellite-ground station link; simulating quantum state preparation process to adjust quantum state parameters and combining the link attenuation loss to calculate key generation rate to distribute satellite-ground station quantum keys.The dynamic model constructed based on satellite orbit parameters and ground station positions can calculate satellite-ground station link dynamic parameters in real time, and can establish an atmospheric model to quantify link attenuation and background noise under different weather conditions, adjust quantum state preparation parameters, and maximize key generation rate under the premise of ensuring security.

The invention provides a soil wind erosion-sand dust release model construction method based on a physical mechanism, and the method comprises the steps: constructing the critical friction wind speed of different sand grains, and introducing the roughness and soil humidity to correct the critical friction wind speed. Calculating the horizontal jump flux under a single particle size condition by combining the critical friction wind speed, and performing weighted integration by combining the soil particle size distribution to obtain the horizontal jump flux under the mixed particle size. Furthermore, in combination with the mixed particle size horizontal jump flux, the vertical dust release flux is calculated, and an emission source item consistent with the atmospheric mode particle only interval is output. In the scheme, the roughness, the soil humidity, the soil particle size distribution and other key underlying surface parameters are converted into physical constraint conditions, and the influence of the particle size distribution and the underlying surface state temporal and spatial change on the wind erosion rate and dust release is fully considered, so that the systematic deviation introduced by representative particle sizes and constant quantization parameters is reduced; therefore, the simulation precision can be improved, and the uncertainty of a simulation result is reduced.

This invention relates to a unified geometric calibration method for large-scale spaceborne SAR images, comprising: collecting SAR image products and preprocessing them to obtain intensity data; constructing an RD geometric positioning model based on SAR image auxiliary files; acquiring the corresponding orthophoto and digital elevation model of the SAR image, generating a database of control points and checkpoints, thereby calculating the geometric positioning deviation of the initial RD model; determining the sources of ground geometric positioning errors based on the SAR imaging mechanism, thereby establishing error equations and a geometric calibration model; obtaining atmospheric parameters using a standard atmospheric model and combining it with the Saas-Tamonin and Krobuscher models to achieve near-real-time estimation of atmospheric path delay; calculating SAR satellite imaging error correction parameters based on the control point database and the geometric calibration model, and then updating the RD geometric positioning model. Compared with existing technologies, the unified geometric calibration method for large-scale spaceborne SAR images adopted in this invention does not require the support of a geometric calibration field and does not rely on reanalysis meteorological products, thus possessing better versatility.

The invention discloses a communication channel intelligent prediction method and device under atmospheric disturbance, and relates to the technical field of communication, and the method comprises the steps: obtaining the atmospheric feature data and corresponding height information between a satellite and a ground end, determining the atmospheric disturbance data of the corresponding height based on the atmospheric feature data and the height information, and carrying out the intelligent prediction of a communication channel based on the height information. The method comprises the following steps: generating a prediction scale, fusing the prediction scale with atmospheric disturbance data, generating an atmospheric stratification model, determining a communication channel interval between a satellite and a ground end, determining a corresponding channel interval atmospheric model in the atmospheric stratification model according to the communication channel interval, generating an atmospheric change trend based on the prediction scale and the channel interval atmospheric model, and enabling the communication channel parameters to act on an atmospheric change trend, generating a channel quality change curve, and determining a quality prediction result of the communication channel based on the prediction scale and the channel quality change curve. Through the above mode, the problem of real-time prediction of the communication channel performance in a complex atmospheric environment is solved.

The present invention provides a far-field electromagnetic pulse waveform simulation method and system. The method introduces an international reference geomagnetic model, an international reference ionosphere model and an international reference atmosphere model when calculating the waveguide parameters of a single-frequency signal along a path segment in an LWPC model. The obtained geomagnetic parameters, ionospheric electron density and electron collision frequency include the influence of time and space, solar disturbances and geomagnetic changes, and are used for simulating far-field electromagnetic pulse waveforms, thereby improving the simulation accuracy of far-field electromagnetic pulse waveforms.

The application discloses a kind of sea-air wave flow coupling optimization method based on multiscale process, to solve the adaptability of existing coupling mode in multiscale process, physical description accuracy deviation and numerical conservation stability difference and other problems.This method first improves the physical parameterization: in atmospheric model, introduce the sea surface roughness parameterization based on wave spectrum dynamic correction, in ocean model, adopt dynamic bottom friction with energy conservation constraint.At the same time, the collaborative mechanism is used: creatively, multiscale adaptive coupling dispatcher is unified with high-order non-oscillatory conservation mapping algorithm and energy spectrum conservation mapping algorithm.The closed-loop collaborative mechanism forces to use flux mapping instead of field interpolation, ensures that the transfer of momentum, mass and energy remains strictly conserved under dynamic variable-frequency coupling, overcomes the numerical conservation barrier in variable-frequency coupling, significantly improves the simulation accuracy and long-term stability under extreme conditions such as typhoon.

The high-performance computing method of CALPUFF is realized based on workflow, which relates to the fields of atmospheric environment and computer processing technology. It solves the problems that the existing meteorological models have poor processing capabilities for abnormal situations, cannot support concurrency in calculations, have low computing efficiency, and are insufficient in analyzing and processing calculation results; and cannot support calculations for complex situations of multiple models, and can only solve single problems with a single script. The present invention is implemented based on an atmospheric model computing service system. According to the workflow model, a computing task is divided into multiple task nodes, which are completed one by one. This method integrates complex data, data analysis and processing, and realizes cloud service sharing. The atmospheric model computing service system of the present invention adopts a numerical simulation method to analyze the causes of atmospheric pollution under different climatic conditions and at different times within the range of the numerical model, and to identify the contribution rates of various pollution sources, various types of pollution sources, and each grid pollution source that affect atmospheric pollution, providing a decision-making support system for atmospheric pollution prevention and control.

The present invention relates to an image color correction method, electronic equipment and storage medium. The image color correction method comprises: obtaining the quantization level, image shooting time and position of the space-based remote sensing image according to the historical space-based remote sensing image, and constructing a corresponding relationship model of the corresponding time and position; obtaining the atmospheric absorption and ground object color composition according to the historical space-based remote sensing image, and constructing a color correction model; after obtaining a new space-based remote sensing image, the space-based remote sensing image is corrected by using the corresponding relationship model and the color correction model in sequence. The present invention can avoid the problem of randomness of color correction caused by the uncertainty of the atmospheric macroscopic scale and the local microscopic scale, and does not need to consider the complex settings in the atmospheric model. It is easy to use, and the operator does not need to have professional knowledge of the atmospheric model, which is conducive to the color restoration of the image.

The invention relates to a method for simulating a global UMLT area wind field and temperature and a 0-30 km wind field, and relates to the technical field of atmosphere remote sensing, and the method comprises the steps: transmitting 372 nm laser to the earth atmosphere through a satellite-borne laser radar system; calculating the number of echo photons generated by the resonance fluorescence effect of the received iron atoms based on the number density of the iron atoms in the WACCM atmospheric model and the temperature and pressure data in the ERA5 reanalysis data; and calculating the global atmospheric temperature and the global atmospheric wind speed of the UMLT region and the global atmospheric wind speed of 0-30km based on the echo photon number. According to the method, a WACCM atmospheric mode and ERA5 reanalysis data are used for simulating the satellite-borne ferro-laser radar to detect the global atmospheric wind speed and temperature and calculate corresponding errors, atmospheric parameters of the global scale are applied, obvious seasonal and regional characteristics are displayed, a more accurate method is provided for satellite-borne laser radar simulation, and the satellite-borne ferro-laser radar simulation method can be applied to simulation of the satellite-borne ferro-laser radar. And a more comprehensive simulation result can be obtained.

The disclosure relates to systems and methods for implementing joint learning of atmospheric models for satellite-based navigation via crowdsourcing training data. A method includes causing, at a computing device, a determination of an error metric based on a difference between a set of measurements and a set of desired values. The set of desired values is based on an atmospheric model and geolocation. The set of measurements is based on a set of satellite signals received at the computing device from a set of satellites. The error metric may be directed to the atmospheric model. The method further includes causing transmission of the data structure from the computing device to the atmospheric model service. The transmitted data structure encodes the error metric (e.g., training data). The atmospheric modeling service employs Bayesian inference and the error metric as conditional probabilities to refine the atmospheric model.

The invention discloses a digital twin space channel continuous variable quantum key distribution method, and relates to the technical field of quantum information processing, and the method comprises the steps: constructing a satellite-ground link model between a satellite and a ground station according to satellite orbit parameter data and ground receiving station position information, and calculating satellite-ground link dynamic parameters; based on the satellite-ground link dynamic parameters and the atmospheric parameters, constructing an atmospheric model to simulate link attenuation loss at different moments under a single orbit in a satellite-ground link; and simulating a quantum state preparation process to adjust quantum state parameters, and calculating a key generation rate in combination with the link attenuation loss to distribute satellite-ground quantum keys. According to the method, a dynamic model is constructed based on satellite orbit parameters and ground station positions, dynamic parameters of a satellite-ground link can be calculated in real time, an atmosphere model is established to quantify link attenuation and background noise under different weather conditions, quantum state preparation parameters are adjusted, and the key generation rate is maximized on the premise that safety is guaranteed.