16 results about "Atmospheric model" patented technology

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 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 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 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 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 invention discloses a rainstorm flood full-chain simulation method and system for coupling data assimilation. The method comprises the following steps: acquiring multi-source data of a target area and preprocessing the multi-source data; after a WRF atmosphere model is constructed, a WRF-DA data assimilation system is innovatively integrated, and by introducing weather radar observation data with high temporal-spatial resolution, multi-source data fusion and optimization are performed on a model initial field to generate an analysis field; generating a hydrological model driving file based on the optimized initial field; coupling a WRF-Hydro hydrological model and carrying out parameter calibration to determine an optimal parameter combination; finally, the optimized atmosphere-hydrological model is driven to simulate and diagnose the whole rainstorm-flood process in a multi-dimensional mode. According to the method, for the rainstorm flood process caused by severe convection weather such as typhoon, WRF-DA data assimilation depth is embedded into a coupling chain of WRF and WRF-Hydro, an assimilation-simulation-feedback-diagnosis integrated closed loop is formed, and the problems that an initial field error is large and chain transmission is distorted in a typhoon scene in a traditional method are solved.

According to the positioning data processing method and device, the computer storage medium and the terminal, the SSR service and the OSR service share the real-time satellite position, the satellite clock difference and the satellite phase deviation, the situation that the two services repeatedly execute the same processing is avoided, and the processing resource consumption of the SSR service and the OSR service is reduced; compared with a single gross error checking mode, mutual checking of double-difference atmospheric delay information and single-station non-difference atmospheric delay information is utilized, gross error data can be directly compared and removed through mutual checking, the two pieces of data are combined into a larger sample set to be used for detecting and removing gross errors, and data support is provided for improving modeling precision; non-difference atmosphere modeling is adopted, other atmosphere information can be flexibly introduced, and a basis is provided for further improving the modeling precision; the service quality of the SSR service and the OSR service is improved based on the model coefficient of the precision-improved non-difference atmosphere model; the SSR service and the OSR service share the model coefficient of the same non-difference atmosphere model, so that the processing resource consumption in the modeling process of the two services is reduced.

The invention relates to a wind resource assessment technology, discloses an atmospheric mode wind resource assessment method supporting visual parameter configuration, and solves the problems that in current wind resource assessment, the process is split, the data management efficiency is low, and result display and application are disjointed, so that efficient and accurate assessment requirements are difficult to meet. According to the scheme, the method comprises the steps that firstly, calculation parameters input by a user are obtained through a front-end visual interface, and a mode configuration file which can be directly used for atmospheric mode calling is generated; thirdly, calling an atmospheric mode based on the mode configuration file to execute numerical simulation, and generating meteorological element data containing wind speed and wind direction in combination with the preprocessed external reanalysis data; then, converting the meteorological element data from a potential height coordinate to a terrain height coordinate, and generating a map file and a time sequence file; and finally, according to the atlas file and the time sequence file, in a front-end visual interface, displaying a meteorological element atlas and a time sequence chart in the visual interface.

The invention discloses an iron resonance fluorescence laser radar temperature and wind speed inversion error analysis method, and belongs to the technical field of low ionosphere detection. According to the iron resonance fluorescence laser radar temperature and wind speed inversion error analysis method, an iron resonance fluorescence laser radar simulation model is constructed, and photon echo signals are simulated in combination with an NRLMSIS-00 atmosphere model and actually measured iron atom density data; analyzing the influence of laser frequency jitter and light quantum noise on the inversion precision by adopting a Monte Carlo method; then, the error performance of a frequency scanning method and the error performance of a three-frequency ratio method are compared, it is proved that the error of the frequency scanning method in temperature inversion is lower, and the iron resonance fluorescence laser radar temperature and wind speed inversion error analysis method can provide guidance for systematic error modeling and parameter design of an iron resonance fluorescence laser radar; and the accuracy of atmospheric temperature and wind speed inversion can be improved.

The invention relates to a manufacturing method of a high-precision high-altitude wind field reanalysis data set, and belongs to the technical field of meteorological high-altitude wind field fusion. According to the method, standard atmospheric pressure layer division with the interval of 250 meters of sounding second data and a standard atmospheric model, background field wind field processing based on ERA5, ERA5 and high-altitude detection wind field fusion adopting an optimal interpolation method are integrated, and a high-altitude wind field reanalysis data set is manufactured. According to the method, ERA5 reanalysis data and national high-altitude wind field detection data are fused, a high-precision high-altitude wind reanalysis data set of 80 layers below 20000 meters is made, and the data set can more finely and accurately reflect the wind field conditions of China and surrounding areas thereof.

This invention discloses a method and system for simulating urban flooding based on atmospheric-hydrological-hydraulic coupling. The method includes: acquiring a standard input dataset of the study area; constructing a unified control surface; inputting meteorological data into an atmospheric model to obtain the spatial distribution of rainfall in the study area; inputting the spatial distribution of rainfall into a hydrological model to obtain the time series results of river water levels; inputting marine data into a marine dynamic model to obtain the time series results of tidal boundaries; identifying urban boundary exchange units based on the unified control surface; establishing comprehensive inflow conditions for urban flooding to obtain the comprehensive inflow rate; and based on the comprehensive inflow rate, spatial distribution of rainfall, and dynamic drainage boundary conditions, obtaining the water depth distribution, flow velocity distribution, water volume distribution, and water accumulation evolution process in the urban area, calculating the flood risk index, and outputting the urban flooding simulation results. This invention has the advantages of improving the accuracy and reliability of urban flooding simulation results.

Embodiments of the present application provide a method and device for determining atmospheric modeling coefficients, electronic equipment and a storage medium. The method comprises: determining a plurality of candidate baselines and atmospheric modeling coefficients according to coordinate values of reference stations, observation values and ephemeris of common view satellites; determining modeling residuals of the plurality of candidate baselines based on the atmospheric modeling coefficients; determining whether the atmospheric modeling coefficients meet a preset condition; if the atmospheric modeling coefficients do not meet the preset condition, determining a target baseline from the plurality of candidate baselines based on the modeling residuals, eliminating the target baseline, updating a plurality of secondary reference stations included in a reference station network using secondary reference stations corresponding to the remaining candidate baselines, and returning to continue the step of determining the plurality of candidate baselines and the atmospheric modeling coefficients according to the coordinate values of the reference stations in the reference station network, the observation values and the ephemeris of the common view satellites; and if the atmospheric modeling coefficients meet the preset condition, taking the atmospheric modeling coefficients as target atmospheric modeling coefficients. The method is used to improve the accuracy and reliability of the atmospheric modeling coefficients.