25 results about "Cloud base height" patented technology

A detection method for determining the communication availability of a satellite-to-ground laser link based on sky infrared remote sensing images comprises the following steps: 1) obtaining meteorological information and sky infrared remote sensing images above a satellite-to-ground laser communication ground station; 2) calculating the corresponding elevation angle and position relationship between the satellite and the ground station at each moment, and calculating the cloud base height and cloud optical depth of the spatial region through which the satellite-to-ground link passes based on the meteorological information and the sky infrared remote sensing images; 3) using a Monte Carlo laser vector transmission model to model the cloud laser channel based on the corresponding elevation angle and position relationship, cloud base height, and cloud optical depth results between the satellite and the ground station at each moment, and normalizing the residual to serve as a reference value for the link communication availability; 4) judging the communication availability of the laser link between the satellite and the ground station based on the atmospheric turbulence obtained in step 1; and 5) predicting future sky infrared remote sensing image change information of a specified satellite-to-ground laser ground station using machine learning technology.

The invention provides a FY-4 offshore cloud bottom height correction method considering a buoy ceilometer, and belongs to the technical field of offshore cloud bottom height correction.According to the method, the cloud bottom height data of a buoy ceilometer and a FY-4 satellite are collected, sea surface reflection pollution correction is carried out on the satellite data, and a cloud layer structure is identified by using K-means clustering; extracting multi-scale fractal dimension features of buoy and satellite data and calculating a difference parameter, organizing correction data into a four-dimensional correction tensor, decomposing and extracting a low-rank structure by adopting CANDECOMP, and inputting a decomposition result and the fractal dimension difference parameter into a cloud base height bidirectional optimization model; dynamic balance between precision improvement and space-time stability maintenance is realized through a game mechanism of a precision optimization sub-model and a stability optimization sub-model in the model, and the technical problem that the marine cloud bottom height precision and the space-time stability of satellite inversion are difficult to consider at the same time is solved.

This invention relates to a cloud height identification method integrating cloud radar and laser wind radar, belonging to the field of radio. The identification method includes: S1, obtaining the cloud base height and cloud top height by inverting the reflectivity product from the cloud radar in top-view mode; S2, obtaining the cloud base height and cloud top height by inverting the signal-to-noise ratio product from the laser wind radar in DBS mode; S3, performing time matching on the output products of the cloud radar and the laser wind radar, and then fusing the results obtained from the cloud radar and the laser wind radar to obtain the final cloud height identification result. This invention complements the characteristics of the two devices. The laser wind radar can compensate for the detection limitations of millimeter-wave radar in thin clouds and distinguish between cloud layers and aerosol layers, while the cloud radar can supplement the inability of laser wind radar to penetrate thick cloud layers, achieving accurate detection of cloud height across the entire cloud area.

To highly accurately measure cloud heights of clouds in the whole sky.SOLUTION: A cloud measurement system comprises: a stereo camera 30 that can change zoom magnification in an imaging direction and optically; a picture reception unit 204 for acquiring the imaged picture; a cloud edge detection unit 207 that recognizes a cloud displayed on the picture, detects a boundary of the cloud, and acquires an edge region including the boundary from a plurality of sub regions in the picture; a cloud imaging order setting unit 209 that on the basis of the edge region, sets target sub regions to be imaged while changing the zoom magnification of the camera and their imaging order; a camera control unit 210 that controls the stereo camera 30 so as to perform enlargement imaging on the target sub regions according to the set imaging order to acquire a stereo picture for each target sub region, a stereo vision distance measurement unit 202 for acquiring a distance to a cloud displayed on the stereo picture using a parallax, and a cloud bottom height estimation unit 203 for acquiring a cloud bottom height of the cloud on the basis of the acquired distance.SELECTED DRAWING: Figure 1

The application discloses a cloud bottom height inversion method based on Mie scattering laser radar data, and comprises the following steps: S1, obtaining an atmospheric extinction coefficient based on Mie scattering laser radar inversion; S2, using the atmospheric extinction coefficient based on Mie scattering laser radar inversion, drawing an atmospheric extinction coefficient profile, and processing an original atmospheric extinction coefficient profile; S3, using a wavelet method to analyze the processed atmospheric extinction coefficient profile, and screening a significant minimum point; S4, using the significant minimum point, screening an effective feature point; and S5, using the effective feature point, outputting a CBH. The application provides a new method for further inverting the cloud bottom height by analyzing the vertical profile features of the atmospheric extinction coefficient based on the Mie scattering laser radar data. The application aims to enrich the application neighborhood of the Mie scattering laser radar and provide a new method for inverting the cloud bottom height.

The invention relates to a cloud height identification method based on fusion of a cloud radar and a laser wind finding radar, and belongs to the field of radio, and the identification method comprises the steps: S1, obtaining the cloud bottom height and the cloud top height through the inversion of a reflectivity product of a cloud radar top-to-top mode; s2, performing inversion by using a signal-to-noise ratio product in a laser wind finding radar DBS mode to obtain a cloud bottom height and a cloud top height; and S3, performing time matching on output products of the cloud radar and the laser wind finding radar, and performing product fusion on results obtained by the cloud radar and the laser wind finding radar to obtain a final cloud height identification result. According to the invention, the characteristics of the two devices are complementary, the laser wind-finding radar can make up for the detection defect of the millimeter wave radar on the thin cloud and distinguish the cloud layer from the aerosol layer, the cloud radar can make up for the defect that the laser wind-finding radar cannot penetrate through the deep cloud layer, and the cloud height global precise detection is realized.

The invention discloses a cloud recognition method based on multiple observation devices, which is characterized in that a weather phenomenon video intelligent observation instrument, an aerosol laser radar, a millimeter wave cloud radar and other observation devices are used for comprehensive judgment to finally obtain a recognition result, and comprises the following steps: acquiring a sky image from the weather phenomenon video intelligent observation instrument, and judging whether cloud exists or not; the cloud base height measured by the laser radar is combined to judge whether the cloud is high cloud or low cloud; non-cloud echoes and noise echoes are filtered through a quality control algorithm, and a reliable cloud radar product is obtained; the boundary of the cloud is identified through the cloud radar product, so that the cloud information such as the cloud bottom height, the cloud top height, the cloud layer thickness and the cloud layer number is obtained. The method is small in calculation amount, high in recognition rate and wide in application range, and overcomes the defects that in the prior art, manual work is relied on, and the processing speed is low.

The application provides a cloud bottom height estimation method and device based on a ground-based microwave radiometer, comprising: receiving historical sounding data of an observation area input by an external device; establishing a relationship matrix among a cloud bottom emissivity, liquid water content and an infrared instrument detected radiation brightness temperature according to a detection frequency of the infrared instrument in the ground-based microwave radiometer and the historical sounding data; determining the cloud bottom emissivity based on the relationship matrix and according to real-time observation of the ground-based microwave radiometer to obtain the liquid water content and the infrared instrument detected radiation brightness temperature; determining a real temperature of the cloud bottom according to the cloud bottom emissivity; and estimating the cloud bottom height based on the real temperature of the cloud bottom, an atmospheric temperature profile and an atmospheric humidity profile. The application can judge and correct the cloud bottom height through real-time measurement of the atmospheric temperature and humidity profile, thereby significantly improving the estimation accuracy of the cloud bottom height and optimizing the observation performance of the ground-based microwave radiometer in cloud bottom height observation.

1. Name of the product in this design: Cloud Gauge. 2. Purpose of this design: This design is used to measure data such as cloud base height, cloud thickness, and number of cloud layers. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

To measure a cloud height with high accuracy for a long time.SOLUTION: A cloud measurement device includes: a stereo camera 30 for photographing a stereo image by a plurality of cameras that can change a pan angle and a tilt angle; a camera control unit 210 for controlling the pan angle and the tilt angle of each camera to control photographing; an image reception unit 204 for receiving the stereo image from the stereo camera; a matching coordinate acquisition unit for acquiring feature points of a subject captured in the stereo image, and acquiring a combination of reference coordinates at which the feature points should be located on the image and coordinates of the acquired feature points as matching coordinates; a direction difference detection unit 209 for acquiring a displacement amount of the feature points on the basis of the matching coordinates, and acquiring a difference amount of pan directions and tilt directions of the plurality of cameras to generate correction information; a correction processing unit 201 for correcting the stereo image on the basis of the correction information; and a cloud base height estimation unit 203 for estimating a cloud base height on the basis of the corrected stereo image.SELECTED DRAWING: Figure 1

This application provides a cloud measurement system and method based on a wave glider. By integrating a laser cloud-measuring radar with a marine meteorological observation instrument onto a wave glider platform with ultra-long endurance, autonomous navigation, and virtual mooring capabilities, a sea-based mobile cloud observation system is constructed. This system overcomes the inherent shortcomings of existing satellite remote sensing observations, such as discontinuity and lack of vertical structure information, as well as the high cost, poor maneuverability, and limited coverage of ship and buoy observations. It achieves long-term, continuous, and mobile observation of cloud systems over vast ocean areas and can acquire high-precision cloud base height, vertical structure, and conventional meteorological elements from the sea surface, significantly improving the spatiotemporal continuity and data quality of marine meteorological observation.

The invention provides a domestic passive meteorological satellite cloud base height high-precision inversion method and system, and belongs to the field of atmospheric cloud parameter remote sensing inversion and quantitative remote sensing mechanisms. According to the method, re-analysis data such as satellite multi-channel atmospheric top reflectivity observation, brightness temperature observation and atmospheric temperature profile are fused, a complex nonlinear feature extraction and modeling method is developed, and the nonlinear mapping capability among the atmospheric top reflectivity, the brightness temperature and the cloud base height is improved; the night and all-day inversion capability is enhanced by combining all-time infrared channel characteristics and layer junction information; through a multi-source sample expansion and stack learning strategy, the generalization adaptability of the model is improved; and a sample expansion and auxiliary training mechanism is designed, so that the problem of insufficient high-quality training data is effectively relieved, and finally, high-precision inversion of the all-day cloud base height of a domestic static or polar orbit meteorological satellite is realized.

The present application provides a sea fog detection method and device based on satellite-borne laser radar, which belongs to the field of atmospheric remote sensing monitoring. The method includes: setting a multi-parameter joint threshold for cloud-aerosol differentiation; based on the set multi-parameter joint threshold, completing the preliminary differentiation of cloud-aerosol, and screening out cloud layers within a specified height from the sea surface from the cloud-aerosol range; combining the cloud base height and scattering characteristic parameters of the cloud layer, calibrating the area that meets the scattering characteristic criteria as the sea fog layer; calculating the continuity characteristics of the sea fog layer in the vertical and horizontal distribution, identifying the signal interruption point and the abnormal distribution area; interpolating and completing the scattering characteristic data of the signal interruption point area, eliminating the abnormal distribution area, and re-calibrating the vertical and horizontal distribution layer characteristics, and outputting the optimized sea fog layer distribution result. The sea fog detection method and device based on satellite-borne laser radar provided in the present application can accurately and effectively realize the detection of the vertical distribution of sea fog.

The application provides a cloud bottom height inversion method, and belongs to the technical field of cloud bottom height inversion, and comprises the following steps: obtaining a cloud echo signal; segmenting the cloud echo signal, and setting a threshold value for each segment; dividing an inversion interval, and obtaining a forward difference echo signal sequence by differentiating the cloud echo signal in the inversion interval; selecting points from positive to negative and from negative to positive in the sequence to form a difference mutation sequence; selecting a local increasing interval from the difference mutation sequence, and judging whether the maximum slope in the local increasing interval exceeds a noise difference standard deviation threshold value; if yes, the point is determined to be a non-noise wave peak point; for each segment of the cloud echo signal, if the wave bottom, the wave top and the wave peak of the cloud echo signal all exceed the threshold value, and the extinction coefficient is greater than 0, the cloud echo signal is determined to be a final cloud echo signal; and the cloud bottom height is inverted by using the final cloud echo signal. The method can invert the cloud bottom height.

The present invention relates to a method and system for estimating rainfall timing based on cloud base height variations, belonging to the field of radio. The method comprises: inputting THI data, making a judgment based on a reflectivity threshold, eliminating interference data, and calculating the cloud base height in each radial direction, where THI stands for vertical to top scanning; determining whether rainfall is likely to form based on cloud base height variations and cloud base velocity; and performing data fitting if the conditions are met; estimating the rainfall time based on the fitting results and outputting the results. The present invention solves the problem that prior art techniques fail to fully utilize the strong correlation between dynamic changes in cloud base height and rainfall formation. It can provide meteorological service guarantees for major events, offer technical support for weather modification operations, and provide prerequisite services for business forecasters to issue nowcast information.

The invention provides an accurate ceilometer comparison and measurement method, and belongs to the technical field of ceilometers, the method comprises the steps: building an aerosol scattering feature discrimination matrix, removing an aerosol layer, reserving a real cloud layer signal, employing a cloud layer boundary Bayesian inference algorithm based on maximum likelihood estimation to obtain the posterior probability distribution of cloud base height, and carrying out the comparison and measurement of the cloud base height. Constructing a double-layer game optimization model to improve the cloud layer recognition precision and minimize the data registration error, calculating the cloud layer movement speed by adopting a cloud layer motion vector estimation algorithm, carrying out space-time interpolation correction, and calculating a correlation coefficient and a linear regression slope to judge the comparison qualification. And increment deviation analysis is carried out on all maximum cloud height values to judge full-scale performance, so that the technical problem that the comparison accuracy is reduced due to space-time mismatching of observation data of a reference instrument and a tested instrument caused by dynamic movement of the cloud layer is solved.

The application provides a domestic passive meteorological satellite cloud bottom height high-precision inversion method and system, and belongs to the field of atmospheric cloud parameter remote sensing inversion and quantitative remote sensing mechanism. The application fuses satellite multi-channel atmospheric top reflectivity observation, brightness temperature observation and atmospheric temperature profile reanalysis data, develops a complex nonlinear feature extraction and modeling method, improves the nonlinear mapping capability among the atmospheric top reflectivity, the brightness temperature and the cloud bottom height, combines the whole period infrared channel characteristics and the stratification information, enhances the night and all-time inversion capability, improves the generalization adaptability of the model through the multi-source sample expansion and the stacking learning strategy, designs the sample expansion and the auxiliary training mechanism, effectively alleviates the problem of insufficient high-quality training data, and finally realizes the high-precision inversion of the all-time cloud bottom height suitable for the domestic stationary or polar orbit meteorological satellite.

This invention provides an accurate cloud height comparison method, belonging to the field of cloud height technology. The invention establishes an aerosol scattering feature discrimination matrix to eliminate the aerosol layer and retain the true cloud signal. It employs a maximum likelihood estimation-based Bayesian inference algorithm for cloud boundaries to obtain the posterior probability distribution of cloud base height. A two-layer game optimization model is constructed to improve cloud identification accuracy and minimize data registration errors. A cloud motion vector estimation algorithm is used to calculate cloud movement speed and perform spatiotemporal interpolation correction. Correlation coefficients and linear regression slopes are calculated to determine the pass / failability of the comparison. Incremental deviation analysis is performed on all maximum cloud height values ​​to determine full-range performance. This invention solves the technical problem of decreased comparison accuracy caused by spatiotemporal mismatch between the observation data of the reference instrument and the tested instrument due to dynamic cloud movement.

1. The name of the design product: laser ceilometer. 2. The use of the design product: the design product is used for automatically and continuously monitoring cloud base height, cloud layer thickness, statistical cloud amount, and vertical visibility. 3. The design points of the design product: in shape. 4. The picture or photo best indicating the design points: perspective view.

The utility model provides an unmanned aerial vehicle cloud height measuring device, which relates to the technical field of unmanned aerial vehicle measurement and comprises an unmanned aerial vehicle main body and a measuring bin, clamping frames are welded on two sides of the bottom of the unmanned aerial vehicle main body, clamping blocks are welded on two sides of the top of the measuring bin, and the clamping blocks and the clamping frames are in sliding connection and are fixed through bolts. The front side of the measuring bin is provided with a barrier strip plate, the bottom of the measuring bin is provided with an auxiliary camera, the bottom of the front side of the measuring bin is provided with a partition plate, the device carries a millimeter wave radar rangefinder and a laser rangefinder, and cloud layer contour information can be rapidly obtained and preliminary detection is carried out by utilizing the penetrability of millimeter waves under severe weather such as cloud mist and light rain; the laser rangefinder can accurately calculate the height of the cloud base to centimeter-level precision by means of high-frequency laser pulses according to the light propagation speed and the round-trip time in sunny weather. The two distance measurement modes are rapidly switched according to needs, and an operator only needs to give an instruction through a ground control station.

The application provides a FY-4 sea cloud base height correction method considering a buoy cloud height instrument, and belongs to the technical field of sea cloud base height correction. The application collects the buoy cloud height instrument and FY-4 satellite cloud base height data, performs sea surface reflection pollution correction on the satellite data, identifies the cloud layer structure by using K-means clustering, extracts the multi-scale fractal dimension features of the buoy and satellite data and calculates the difference parameters, organizes the correction data into a four-dimensional correction tensor, extracts the low-rank structure by using CANDECOMP decomposition, inputs the decomposition result and the fractal dimension difference parameters into a cloud base height bidirectional optimization model, and realizes the dynamic balance between the accuracy improvement and the spatiotemporal stability maintenance in the model by the game mechanism of the accuracy optimization sub-model and the stability optimization sub-model, so that the technical problem that the sea cloud base height precision and the spatiotemporal stability of the satellite inversion are difficult to be considered is solved.

The invention discloses a cloud base height forecasting method based on multi-factor dynamic analysis, relates to the technical field of meteorological numerical forecasting and atmospheric boundary layer analysis, and aims to predict the height of a cloud base by identifying the structural feature that the internal humidity of a mixed layer changes along with the height instead of only depending on the average relative humidity of the mixed layer in the cloud base height forecasting process. A continuous humidity increasing section is extracted, and the position of a potential condensation layer is determined, so that the initial condition of air block lifting calculation can more accurately reflect the actual water vapor distribution condition in the mixing layer. Under the condition that a local wet layer or a local high-humidity area exists, a wet layer structure closer to an actual condensation occurrence position can still be identified, so that the cloud base height calculation process is closer to a real atmospheric state; by calculating the thickness of the mixed layer, the vertical range of the mixed layer can be definitely limited, and the subsequent humidity structure analysis can be carried out aiming at the important region where the low cloud is formed, so that the cloud bottom height analysis process corresponds to the actual atmospheric boundary layer structure.

1. The name of the design product: laser ceilometer. 2. The use of the design product: the design product is used for measuring cloud base height. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view.

The invention discloses an airport-oriented vertical visibility calculation method, which comprises the following steps of: acquiring horizontal visibility, a first-layer cloud bottom height and a second-layer cloud bottom height within first time before the current moment to obtain a horizontal visibility array, a first-layer cloud bottom height array and a second-layer cloud bottom height array, calculating the average value of the horizontal visibility, the average value of the first-layer cloud bottom height and the average value of the second-layer cloud bottom height; when the weather is clear, if 9999 exists in the first-layer cloud base height array, judging that the vertical visibility is good; when the sky is shielded by the weather phenomenon, calculating the vertical visibility through the average value of the horizontal visibility; and under other conditions, judging the vertical visibility according to the average value of the horizontal visibility in combination with the average value of the first-layer cloud bottom height and the average value of the second-layer cloud bottom height. The method provided by the invention can quickly and accurately calculate the vertical visibility.

The present invention discloses a method, device, and storage medium for synchronously calculating the in-and-out rates of deep convective clouds, belonging to the field of atmospheric science and technology. The method comprises: obtaining original observation data; identifying spatial locations in a cloud droplet spectrum that simultaneously meet water content and number concentration requirements as deep convective clouds, and identifying the remaining spatial locations as outside the cloud; identifying the spatial location with the maximum water content in the deep convective cloud as an adiabatic cloud; identifying the representative portion outside the cloud as ambient air; subtracting the detection altitude from the cloud base altitude to obtain a relative cloud base altitude; substituting the corresponding data of the deep convective cloud and the adiabatic cloud, as well as the corresponding data of the ambient air, into three conservation equations for mass, total moisture, and total energy, and solving them to obtain mass fractions; and calculating the in-and-out rates in combination with the relative cloud base altitude. The present invention can calculate the in-and-out rates of deep convective clouds using observation data, thus filling the gap in methods for calculating the in-and-out rates of deep convective clouds based on observation data.