14 results about "Melting layer" patented technology

The invention discloses a winter dual-polarization radar hydrogel phase state identification method and device and a medium, and relates to the technical field of radar meteorological detection, and the method comprises the steps: obtaining the radar data of a dual-polarization radar; performing space-time matching on the radar data and the sounding data to obtain matched sounding data; based on the matched sounding data, zero-degree layer height information is extracted, and the average melting layer height is obtained in real time in combination with the quasi-vertical profile; based on the height difference between the average melting layer height and the altitude of the radar station, adaptively switching to a summer two-dimensional melting layer feature detection algorithm or a winter three-dimensional melting layer feature detection algorithm, and obtaining fine melting layer space information; according to the method, all polarization parameters are obtained, hydrogel phase state identification is carried out on all the polarization parameters, an initial phase state identification result is obtained, the initial phase state identification result is constrained by utilizing fine melting layer space information, a final hydrogel phase state identification result is obtained, and the hydrogel phase state identification precision of the dual-polarization radar in winter is improved.

The invention relates to the technical field of meteorological monitoring, and discloses a rainfall early warning method and system based on a weather radar, and the method comprises the steps: obtaining weather radar body sweeping arrival base data and rainfall station observation data, carrying out the alignment, carrying out the meshing of the radar base data, and obtaining the grid echo data; constructing a quasi-vertical profile to determine the height range and uncertainty of the melting layer, and carrying out weighted bright band correction on echoes in the melting layer to obtain corrected echo data; determining rainfall type partitions and performing inversion to obtain a radar rainfall intensity field; according to the rainfall station data and the radar rainfall intensity field, station residual data is obtained, a space deviation field is obtained, and finally a calibration rainfall intensity field is obtained; determining an accumulated precipitation field of each member according to the calibrated rainfall field; and obtaining an over-threshold probability published by early warning according to the accumulated precipitation field of each member, and outputting precipitation early warning information when a probability threshold is continuously met. According to the invention, the rainfall intensity overestimation and false alarm jitter are reduced, and the accuracy and stability of short temporary rainfall early warning are improved.

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 application provides a radar precipitation measurement method and device based on a 45-degree slant depolarization ratio, which uses a radar with or modified to realize 45-degree slant polarization to collect single-shot double-receiving two-channel complex voltage data, calculates a slant baseline linear depolarization ratio and a reflectivity factor Z; identifies a melting layer according to a vertical pointing profile observation collected by the radar in a vertical pointing mode, and applies upper and lower boundaries of the melting layer to a near-horizontal scanning mode to realize liquid rainfall identification; performs rain attenuation correction on and Z, and according to the rain attenuation corrected and Z, looks up a table or a neural network to inverse precipitation parameters such as rainfall intensity, mass-weighted mean diameter, normalized intercept, number concentration and water content. The application improves the precision and robustness of precipitation measurement.

The invention discloses a laser radar melting layer height and thickness detection method based on extensible two-dimensional matching, and the method comprises the following steps: obtaining multi-channel original observation signals of a laser radar, cutting each channel signal into a preset physical reasonable value interval, and obtaining a preprocessed signal; constructing a data normalization and two-dimensional matrix; constructing a multi-thickness template library driven by a physical model; calculating similarity values of the two-dimensional data matrix and each thickness template at different height positions by using weighted normalized cross-correlation; meanwhile, on the basis of a preset physical standard threshold value, multi-channel joint verification is carried out on all the candidate positions, and the positions conforming to the physical characteristics of the melting layer are screened out; determining an optimal parameter; the height and thickness parameters of the melting layer can be accurately measured at the same time.

The invention relates to the field of weather prediction, in particular to a winter rainfall phase state prediction method based on the thickness of a cold and warm layer, and the method comprises the steps: defining a melting layer and a freezing layer; after a first absolute threshold value and a first relative threshold value are determined, the absolute threshold value and the relative threshold value after dynamic optimization are obtained by taking a threshold value adaptive matching algorithm as a basic framework; and based on the absolute threshold and the relative threshold after dynamic optimization, a multi-rule collaborative discrimination system is constructed in combination with a cold and warm layer boundary and parameter extraction result, and a final rainfall phase prediction result and phase transformation probability distribution are obtained. According to the method, the temperature vertical structure of the ice particles and the freezing rain can be more accurately and quantitatively described through the newly prepared absolute threshold value and the threshold value relative index, the method has clear physical significance, the threshold value intervals are mutually independent and do not coincide, and a good judgment effect can be achieved on the ice particles and the freezing rain.

The invention provides a radar rainfall measurement method and device based on an oblique 45-degree depolarization ratio, and the method comprises the steps: collecting single-transmitting double-receiving two-channel complex voltage data through employing a radar which achieves the oblique 45-degree polarization through the reconstruction, and calculating an oblique linear depolarization ratio and a reflectivity factor Z; a melting layer is observed and recognized according to a vertical pointing section collected by the radar in a vertical pointing mode, and the upper boundary and the lower boundary of the melting layer are applied to a nearly horizontal scanning mode to achieve liquid rainfall recognition; and carrying out rain attenuation correction on the sum Z, and according to the sum Z after the rain attenuation correction, inverting rainfall parameters such as rainfall intensity, mass weighted average diameter, normalized intercept, number concentration, water content and the like through a lookup table or a neural network. According to the invention, the precision and robustness of rainfall measurement are improved.

The invention discloses a tropical rainfall identification method based on S and C wave band weather radars, and belongs to the technical field of tropical rainfall identification, and the method comprises the steps: forming a rainfall vertical reflectivity profile based on radar reflectivity data obtained by S and C wave band single polarization radars; acquiring 0 DEG C layer height data, and determining the initial height of tropical rainfall identification in combination with the rainfall vertical reflectivity profile; searching a local radar reflectivity maximum value Zmax in the rainfall vertical reflectivity profile from the initial height downwards; according to the method, a rainfall reflectivity vertical profile is taken as a core identification basis, a starting height is determined by combining 0 DEG C layer height data, a local reflectivity maximum value Zmax is searched through layer-by-layer traversal, and multi-dimensional judgment conditions such as melting layer bright band judgment and a difference threshold value of Zmax and Zmin are introduced, so that the accuracy of the rainfall reflectivity is improved. The method can accurately identify the core characteristic of tropical rainfall that the low-layer reflectivity is enhanced along with the reduction of the altitude, prevents the common convective or stratified cloud rainfall from being misjudged as tropical rainfall, and effectively improves the identification precision.

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 and system for identifying layered cloud melting layers based on cloud radar, belonging to the field of cloud radar identification technology. The method includes: acquiring airborne cloud radar observation data; resampling the airborne cloud radar observation data to a unified geographic grid; for each sample, extracting continuous time periods with radar bright band characteristics and performing time averaging to obtain a comprehensive average reflectivity factor profile; calculating the vertical gradient of the comprehensive average reflectivity factor profile; and identifying the effective melting layer based on the vertical gradient. This invention automatically identifies the height of the top and bottom of the melting layer by analyzing the vertical gradient changes of reflectivity factor and vertical velocity, exhibiting high accuracy and strong adaptability.

The invention discloses a multi-limit state analysis method for quantifying the thickness of a pre-melting layer at the initial melting stage of salinized soil, which comprises the following steps of: 1, determining a basic pre-melting theoretical model, and establishing a supercooling degree-pre-melting layer thickness control equation of a planar pre-melting model and a spherical ice crystal model; step 2, determining a pre-melting layer thickness limit condition under the plane pre-melting model; and 3, determining the thickness limit condition of the pre-melting layer under the spherical ice crystal pre-melting model. According to the method, different possible physical limit states of the salinized soil in the initial melting stage are distinguished through a system, a corresponding pre-melting layer thickness quantitative model is established, and a regulation and control mechanism of interfacial force properties, impurity concentration and ice crystal curvature on pre-melting behaviors is defined; and theoretical basis and parameter support can be provided for micromechanism research and engineering numerical simulation in the melting process of the salinized soil in the cold region.

This invention belongs to the technical fields of radar quantitative precipitation estimation, numerical weather prediction model data assimilation, severe convective weather early warning, and microphysical characteristic analysis of precipitation weather systems. Specifically, it relates to a method for identifying water condensate particle classification (HCA) based on S-band dual-polarization radar. By adding appropriate discrimination conditions, it solves the problem of HCA incorrectly identifying water condensate particle types in hail and three-body scattering regions. It utilizes the temperature analysis field of the half-hourly update and prediction system (HHUPS) short-term model from the Shandong Meteorological Research Institute to determine the melt layer height, thus solving the problem of HCA's inability to identify the melt layer under severe convective conditions. Based on the relationships between eight types of water condensate, it limits the vertical distribution of water condensate identified by HCA, solving the problem of unreasonable vertical distribution of water condensate particles identified by HCA.

The application discloses a laser radar melting layer height and thickness detection method based on extensible two-dimensional matching, which comprises the following steps: acquiring a multi-channel original observation signal of a laser radar, and cutting each channel signal into a preset physical reasonable value interval to obtain a preprocessed signal; constructing data normalization and a two-dimensional matrix; constructing a physical model driven multi-thickness template library; calculating the similarity value of the two-dimensional data matrix and each thickness template at different height positions by using weighted normalized cross-correlation; at the same time, based on a preset physical standard threshold, each candidate position is jointly verified by multiple channels to screen out positions meeting the physical characteristics of the melting layer; and optimal parameter determination is performed; and the application can accurately determine the height and thickness parameters of the melting layer at the same time.

The invention discloses a shape design of a part to be meltallized, belongs to the technical field of meltallizing, and is designed for solving the problem that steps or accumulation is easy to form in an existing structure. According to the shape design of the to-be-meltallized part, the outer surface of the to-be-meltallized part with a continuous straight line is divided into a meltallized area RS and a non-meltallized area F through scribed lines, the outer surface with the set thickness in the meltallized area RS is removed to form a base plane and a connecting inclined plane, and the connecting inclined plane is connected between the base plane and the initial outer surface in the non-meltallized area F. According to the shape design of the to-be-meltallized part, a right-angle structure in an existing structure is replaced by the connecting inclined plane or the arc, so that the situation that a step is formed between the base plane and the initial outer surface due to the fact that the right-angle structure is sunken too deep can be avoided, and the situation that accumulation is formed between the base plane and the initial outer surface due to the fact that the right-angle structure is sunken too shallow can also be avoided; ensuring that the outer surface of the meltallizing layer is basically as high as the initial outer surface; and the final product is smoother in overall structure and more attractive in appearance.