67 results about "Atmospheric layer" patented technology

The invention provides a fixed star sight atmospheric refraction correction method for optical satellite limb observation, and the method comprises the steps: constructing an atmospheric ellipsoid model according to an earth atmosphere parameter set and earth ellipsoid parameters; according to the satellite orbit, the attitude measurement value, the image imaging time, the fixed star image plane coordinate and the satellite camera parameter, calculating the fixed star sight line; performing penetration layer atmospheric refraction correction on the fixed star sight line based on the atmospheric ellipsoid model to obtain a corrected first fixed star sight line; based on the atmosphere ellipsoid model, performing penetrating layer atmosphere refraction correction on the corrected first fixed star sight line to obtain a corrected second fixed star sight line; and calculating the right ascension and declination of the fixed star by using the corrected second fixed star sight line. According to the method, fixed star sight atmospheric refraction correction processing of optical satellite limb observation can be realized, so that support is provided for high-precision geometric processing of optical satellite limb observation images.

The invention provides an offshore area atmosphere and ocean parameter collaborative inversion method and system, and relates to the technical field of satellite remote sensing, and the method comprises the steps: obtaining to-be-inverted parameters which comprise an atmosphere parameter and an ocean parameter, calling a multi-parameter physical information neural network model to carry out the ocean water-leaving radiation calculation of the ocean parameter, and calculating the ocean water-leaving radiation of the ocean parameter; an atmospheric aerosol model is called to carry out parameterization calculation on atmospheric parameters, and scattering parameters and absorption coefficients of atmospheric aerosol are obtained; inputting the ocean water-leaving radiation quantity and the scattering parameter and the absorption coefficient of the atmospheric aerosol into a forward radiation transfer model, and carrying out radiation transfer calculation to obtain entrance pupil radiation brightness of the top of the atmospheric layer; and finally, performing parameter inversion by combining a satellite measurement radiation signal to obtain an inversion parameter corresponding to the to-be-inverted parameter. According to the invention, problems existing in an atmospheric correction algorithm for ocean water color remote sensing in the prior art are solved.

The invention discloses a deep learning inversion method and system based on physical constraint reflectivity, and an electronic device. The method comprises the following steps: constructing a deep neural network model; hyperspectral remote sensing sample data are input into the deep neural network model, and the transmittance product combination parameter sub-model, the atmospheric intrinsic reflectivity sub-model and the atmospheric hemisphere albedo sub-model are respectively subjected to model training by utilizing the hyperspectral remote sensing sample data; carrying out model training on the physical inversion model through a physical constraint formula; and S3, acquiring hyperspectral remote sensing data of the research area, inputting the hyperspectral remote sensing data into the deep neural network model, and predicting and outputting the atmospheric roof reflectivity. According to the method, the parameter model is innovatively constructed, the transmittance product combination parameter, the atmospheric intrinsic reflectivity and the atmospheric hemisphere albedo are respectively predicted by means of the parameter model, and the output atmospheric top reflectivity is efficiently and rapidly predicted based on the constructed physical radiation transfer equation by means of the three parameters. The method has the advantages of high prediction efficiency and high precision.

The invention provides an automobile skylight full-shading roller shutter composite fabric with a nine-functional-layer structure, and relates to the technical field of automobile textiles. The nine-functional-layer structure sequentially comprises a graphene far infrared emission yarn layer, a connection yarn layer, a rare earth far infrared absorption heating yarn layer, a first PUR connection point layer, a first aluminized heat reflection layer, a film layer, a second aluminized heat reflection layer, a second PUR connection point layer and an interior fabric layer from top to bottom. The woven fabric with the radiation cooling function and the composite fabric of the nine functional layers of the woven fabric have the capability of reversely emitting sunlight heat penetrating through skylight glass on the top of an automobile to the atmosphere outside the automobile and even the outer space through the skylight glass through absorption reflection and infrared radiation; and the aluminum-plated layer on the lower layer of the film can reduce the cold loss of a passenger compartment. The functions of cooling, heat insulation, cold insulation, shading, beautification and decoration of the nine-layer composite skylight roller shutter fabric for the vehicle are achieved through the effects of absorption, reflection and anti-radiation of infrared rays.

The invention comprises an apparatus, method for using the apparatus and system for balloon altitude control by in-situ characterization and active energy management. The invention presented enables transportation, autonomous operation and use of a balloon beyond the limits of conventional high-altitude ballooning to the edge of the atmosphere, or about 100 km above the surface of the Earth. The apparatus comprises at least: an envelope containing lift-gas; an envelope and lift-gas characterizer; an altitude control system operated using active energy addition and lift-gas transfer or ambient air introduction into the system; and an external payload component. The invention is capable of operating in ascent, descent, or stationary mode; the altitudinal movement of the balloon is caused by measuring in-situ envelope and lift-gas characteristics, identifying the change in the lift-gas energy needed, and facilitating the required energy change for altitude control.

The invention provides an atmosphere acquisition control method and system based on multi-source fusion, and belongs to the technical field of atmosphere acquisition, and the method comprises the steps: collecting the atmosphere parameters of a golden star, and forming an observation vector; obtaining an optimal state estimation vector, dynamically weighting each parameter in the optimal state estimation vector, and outputting a credible normalized fusion value; when the fusion value is higher than a preset fusion threshold value, opening a sampling port of the acquisition system to enable the Jinstar atmosphere to enter a cooling tank of the acquisition system; when the temperature is lower than a preset fusion threshold value or it is monitored that the cooling tank is full, a sampling opening is closed; cooling the cooling tank to solidify part of components of the gas sample, and transferring the residual gas to a gas storage tank of a collection system; vaporizing and discharging the solid sample in the cooling tank after the aircraft leaves the atmosphere; repeating the steps until sufficient samples are collected at the current target sampling height; and then executing an acquisition task of the next target sampling height. According to the invention, the success rate of the atmospheric sampling task and the sample effectiveness in the aventurine extreme environment are guaranteed.

The application discloses a method for inverting marine aerosol optical depth by using spaceborne lidar noise, belongs to the technical field of laser remote sensing, and is used for quantitatively inverting aerosol optical depth. Under the premise that system hardware parameters of the spaceborne lidar and total background noise data detected by the spaceborne lidar, environmental parameters of a corresponding region and moment are given, a noise model of solar radiation items corresponding to water surface white froth diffuse reflection and water surface specular reflection, a water-leaving noise model (a noise model of solar radiation items of water body backscattering), and an atmospheric noise model (a noise model of solar radiation items of Rayleigh scattering of atmospheric molecules and Mie scattering of aerosol particles) are respectively constructed. Water surface noise, water-leaving noise and atmospheric Rayleigh scattering noise are removed from total noise rate of the atmosphere top detected by the lidar, and aerosol scattering noise results are obtained. Finally, marine aerosol optical depth of a satellite transit region and moment is quantitatively inverted by using the aerosol scattering noise results and the aerosol scattering noise model.

The invention discloses a bionic air-space cooperative atmosphere intelligent regulation and control system and method. The system comprises a twin digital earth, an atmospheric brain, an air-space AI mobile base comprising a troposphere special base and a stratosphere special base, a plurality of macroscopic telescopic pipelines, an array composed of macroscopic intelligent sunshade reflectors, and a multifunctional intelligent micro-unit cluster. A regulation and control strategy is generated through multi-source data assimilation and intelligent strategy optimization, physical states such as temperature and humidity of air masses in a pipeline are actively adjusted through an environment control section in a macroscopic telescopic pipeline, and low-energy-consumption, stepped and directional transportation of cloud water substances is achieved by actively utilizing the chimney effect formed by the atmospheric environment; controllable adjustment of solar radiation input is achieved through dynamic management of the intelligent sunshade reflector array. The system has four operation modes which can be evolved according to technical capability stages from macroscopic direct intervention to global intelligent collaboration, and is configured with a module recovery and platform stability anchoring mechanism so as to realize emergency intervention on disastrous weather.

The application discloses a kind of surface solar radiation prediction method and equipment based on satellite observation data, belong to solar radiation remote sensing prediction technical field.The method includes obtaining target observation data and prediction model;Difference is obtained by the target observation data of the adjacent observation time of each spectral channel of the top reflectivity of atmosphere layer, and cloud movement sensing feature is obtained;The input sequence that target observation data and cloud movement sensing feature jointly constitute is input into the prediction model, and the surface solar radiation prediction result is obtained.The application can realize more rapid, more continuous surface solar radiation short-term prediction, and reduce the dependence of intermediate inversion product and multi-source auxiliary data while maintaining good prediction accuracy in actual prediction stage, and has practical application value for solar energy resource monitoring, photovoltaic power generation power estimation and short-time power dispatching.

A floating craft control system that controls floating craft floating in the atmosphere. [Solution] This is a floating machine control system that controls a floating machine floating in the atmosphere. The floating machine has a power generation device that generates electricity using solar power, a power storage device that stores the electricity generated by the power generation device, a levitation device with balloons that use gas lighter than the atmosphere on the ground, and a propulsion device that uses the power from the power storage device to propel the machine through the air. Furthermore, the floating machine control system has a navigation control system that controls the levitation device and propulsion device and uses air currents in the atmosphere to move the machine to its destination.

This invention discloses a method for inverting atmospheric N2O column concentration based on thermal infrared satellite remote sensing, belonging to the field of atmospheric environment remote sensing technology. The method includes: acquiring and preprocessing satellite observation data; selecting a specific spectral range as the inversion characteristic spectral region; introducing a fast radiative transfer model to construct a forward simulation operator to simulate the radiance of the top atmospheric layer; selecting N2O-sensitive characteristic bands with high signal-to-noise ratio and low interference based on a channel optimization strategy using the N2O / CO2 Jacobi intensity ratio; constructing an extended state vector, using surface temperature as an unknown parameter and performing joint optimal estimation iterative inversion with the N2O profile to correct the surface temperature in the reanalysis data, thereby achieving high-precision inversion of N2O atmospheric column concentration. This invention transforms surface temperature from a fixed input parameter into a state variable to be inverted, effectively decoupling surface temperature error from the N2O signal, eliminating systematic bias, and significantly improving the inversion accuracy of N2O column concentration.

The invention discloses a control method and device for freezing rain prevention and control operation and a storage medium, and belongs to the technical field of power grid disaster prevention. The control method comprises the steps that under the condition that a thermal inversion layer exists in a target atmosphere area, a plurality of warm area target meteorological parameters of a thermal inversion layer warm area and a plurality of cold area target meteorological parameters of a thermal inversion layer cold area in the thermal inversion layer in the target atmosphere area are acquired; according to the multiple warm area target meteorological parameters and the multiple cold area target meteorological parameters, determining an early warning index corresponding to a thermal inversion layer; and under the conditions that the early warning index is greater than or equal to a preset early warning index threshold value, the plurality of warm region target meteorological parameters meet a preset warm region meteorological condition and the plurality of cold region target meteorological parameters meet a preset cold region meteorological condition, performing freezing rain prevention and control operation on the thermal inversion layer warm region and the thermal inversion layer cold region. The problem that in the prior art, the supercooled water drop phase change efficiency is low can be solved.

The invention belongs to the field of determination of a flight corridor speed-height boundary of a hypersonic flight vehicle returning and reentering the atmosphere, and particularly relates to a flight corridor speed-height boundary determination method of a flight vehicle returning and reentering the atmosphere, which comprises the following steps: step 1, calculating the flight corridor speed-height boundary of the flight vehicle returning and reentering the atmosphere, and determining the flight corridor speed-height boundary of the hypersonic flight vehicle returning and reentering the atmosphere; a flight corridor speed-height boundary constrained by boundary parameters; step 2, calculating a flight corridor speed-height boundary of a heat flow constraint when the aircraft returns to the atmosphere; step 3, calculating a flight corridor speed-height boundary of the aircraft returning to the atmosphere and constrained by dynamic pressure; 4, calculating a flight corridor speed-height boundary of overload constraint when the aircraft returns to the atmosphere again; and step 5, integrating the flight corridor speed-height boundary of the boundary parameter, the heat flow, the dynamic pressure and the overload constraint to obtain the flight corridor speed-height boundary of the aircraft returning and reentering the atmosphere.

The application discloses a micro-light target device and an absolute radiation calibration method for a spaceborne micro-light load, and adopts a light source which is industrialized and customized and meets corresponding conditions in terms of spectral energy stability, waveband response, light source emission energy stability, light source emission energy uniformity in each direction and light source power as a calibration light source of the target, so that the problem that the light source in the prior art has great uncertainty due to the influence of lamp temperature and the narrow spectral range cannot meet the full spectral range calibration requirement can be overcome. In addition, the application arranges multiple targets with different openings to form an absolute radiation calibration target array of the spaceborne micro-light load, so that multi-point and full waveband radiation calibration can be realized, and through the combination of the micro-light targets with different openings, the measured target radiance, the atmospheric profile and the aerosol content and other parameters, and the simulation of the entrance pupil radiance of the spaceborne micro-light load at the top of the atmosphere by means of a radiation transmission model, high-precision absolute radiation calibration of the spaceborne micro-light load with different spatial resolutions can be realized.

The utility model discloses a kind of dry gas seals for superhigh pressure gas injection centrifugal compressor, it is related to dry gas seal structure field, and it includes: shaft sleeve, primary sealing mechanism, it is sleeved in the outside of shaft sleeve, primary sealing mechanism has primary seal leakage port in communication with atmosphere side, secondary sealing mechanism, block process medium that leaks from primary sealing mechanism but is not discharged from primary seal leakage port to atmosphere layer;Primary sealing mechanism includes first dynamic ring and first static ring, secondary sealing mechanism includes second dynamic ring and second static ring, first dynamic ring and second dynamic ring are made of silicon nitride, first static ring and second static ring are made of silicon carbide, diamond coating is coated on the sealing end face of first static ring.The utility model is by being arranged as silicon nitride material to dynamic ring, it is arranged as silicon carbide material to static ring, and diamond coating is coated on the sealing end face of static ring, to reach the purpose that process medium enters atmosphere when gas injection pressure reaches 45Mpa, is blocked.

Method for establishing a bidirectional optical communication between a ground station (10) and a particularly geostationary satellite (14), to which a lead angle (PAA) is assigned, by which an uplink light beam (20) to be sent from the ground station (10) to the satellite (14) is offset from the direction of incidence of a downlink light beam (16) previously sent from the satellite (14) to the ground station (10), wherein in the method - a satellite (14) transmits a downlink light beam (16) through the atmosphere to a ground station (10) in a direction of incidence and - an orbital relay device (22) is provided, flying in the direction of movement (12) of the satellite (14) at a distance (24) behind the latter, which - receives an uplink light beam (20) sent by the ground station (10) and forwards it to the satellite (14) or - receives an uplink light beam (20) transmitted by the ground station (10) and transmits signals representing data of the uplink light beam (20) to the satellite (14) or - receives an uplink light beam (20) transmitted by the ground station (10) and transmits signals processed by the relay device (22) on the basis of data transmitted by the uplink light beam (20) to the satellite (14), - wherein the distance (24) between the satellite (14) and the relay device (22) is determined based on the difference in movement speed between the satellite (14) and the ground station (10) and on the distance of the satellite (14) from the ground station (10) and thus on the lead angle (PAA) assigned to the satellite (14), and - the uplink light beam (20) is transmitted from the ground station (10) to and received by the relay device (22) at a lead angle (PAA) of zero degrees and thus in a direction opposite to the direction of incidence of the downlink light beam (16).

The invention belongs to the technical field of marine weather forecast, and particularly relates to an atmosphere structure stability correction method, system and device and a medium, and the method comprises the steps: analyzing the incidence relation between the atmosphere structure stability and the wind wave growth rate, and determining a core evaluation parameter; collecting a plurality of marine meteorological observation data, and preprocessing the plurality of marine meteorological observation data to construct a standardized training data set; constructing a wind wave growth rate initial correction model based on physical constraints; integrating the initial correction model into a wind energy input source item of a sea wave numerical mode so as to correct the stability of the atmosphere structure in real time and obtain correction stability; verifying the correction effect through long-term numerical simulation, and performing model performance verification on the initial correction model by adopting multi-index statistical evaluation to obtain a model verification result; and performing parameter sensitivity analysis and optimization on the initial correction model based on a model verification result to obtain an optimized correction model. According to the invention, the accuracy of wave numerical forecasting is improved.

The present application relates to a method for reducing the global greenhouse effect, in which a gas that is inactive for long-wave radiation is introduced into the Earth's atmosphere, preferably the troposphere, whereby the total volume of the Earth's atmosphere is increased. According to the invention, in order to provide an alternative method for reducing the global greenhouse effect, it is provided that a mass of the climate-damaging gases contained in the Earth's atmosphere remains constant, so that the increase in the total volume causes a relative reduction in the content of climate-damaging gases contained in the Earth's atmosphere, based on the total volume of the Earth's atmosphere.

The invention provides a universal satellite remote sensing atmospheric roof radiation simulation method, which belongs to the technical field of remote sensing image data processing, and comprises the following steps: (1) calculating latitude and longitude and observation geometric information of a transit area; (2) constructing global environment parameter background field data; (3) respectively performing radiation simulation on the ocean area and the land area in the transit area; (4) respectively calculating the atmospheric top radiance of the ocean area and the atmospheric top radiance of the land area; and (5) splicing the atmospheric top radiance data of the ocean area and the atmospheric top radiance data of the land area to obtain the atmospheric top radiance data of the whole image. According to the universal satellite remote sensing atmosphere top radiation data simulation method, the reliability of a physical model and the modeling capacity of a neural network are combined, the problem that existing satellite remote sensing atmosphere top radiation simulation is low in reliability is solved, and compared with full-data neural network simulation, consumed time is shorter.

The present invention discloses a method for inverting the density of the Martian atmosphere, and its device and electronic equipment, which relate to the field of aviation measurement and control or other related technical fields. The method comprises: monitoring the operating status of a Mars probe in a Martian exploration orbit and collecting the operating data of the Mars probe; drawing an operation diagram of the Mars probe based on the operating data; utilizing the principle of height symmetry and calculating the energy attenuation of the Mars probe due to atmospheric resistance at the perigee and in each height symmetric interval on the operation diagram based on the operating data; inverting the average atmospheric density in each height symmetric interval of the Martian atmosphere based on the energy attenuation; and converting the average atmospheric density in each height symmetric interval to a specific altitude position to obtain the atmospheric density at each altitude position in the Martian atmosphere. The present invention solves the technical problem in the related art of inverting the Martian atmospheric density by expanding the inversion time interval, which results in low measurement and control accuracy.

The application provides an atmospheric out-of-layer polarized light field continuation model calculation method based on neural network learning, comprising the following steps: S1, collecting spatial polarized light field data and obtaining to-be-calculated data; S2, building a neural network model and adjusting weights and biases; S3, training the neural network model by taking the spatial polarized light field data as training samples, inputting the to-be-calculated data into the trained neural network model, and calculating a predicted polarization azimuth and a predicted degree of polarization through forward propagation; and S4, obtaining a position vector and a first sun vector of a to-be-observed point, calculating a measured polarization azimuth and a measured degree of polarization, and calculating a polarization azimuth error percentage and a degree of polarization error percentage to check the accuracy of the neural network model. The application can improve the high-precision measurement and analysis capability of the atmospheric out-of-layer polarized light field, and provide accurate and reliable data support for a satellite navigation system.

The application discloses a physical constraint reflectivity deep learning inversion method and system and electronic equipment, and the method comprises the following steps: constructing a deep neural network model; inputting hyperspectral remote sensing sample data into the deep neural network model; using the hyperspectral remote sensing sample data to train a transmittance product combination parameter submodel, an atmospheric intrinsic reflectivity submodel and an atmospheric hemisphere albedo submodel respectively; using a physical inversion model to train the model by a physical constraint formula; and S3, acquiring hyperspectral remote sensing data of a research area, inputting the data into the deep neural network model and predicting and outputting atmospheric layer top reflectivity. The application innovatively constructs a parameter model, uses the parameter model to predict transmittance product combination parameters, atmospheric intrinsic reflectivity and atmospheric hemisphere albedo respectively, realizes efficient and rapid prediction and output of atmospheric layer top reflectivity by using three parameters and based on a constructed physical radiation transmission equation, and has the advantages of high prediction efficiency, high accuracy and the like.

This invention proposes a general method for simulating atmospheric top radiation from satellite remote sensing, belonging to the field of remote sensing image data processing technology. The method includes: (1) calculating the latitude, longitude, and observation geometry of the transit area; (2) constructing global environmental parameter background field data; (3) performing radiation simulations for the ocean and land regions within the transit area; (4) calculating the atmospheric top radiance of the ocean and land regions respectively; and (5) stitching together the atmospheric top radiance data of the ocean and land regions to obtain the atmospheric top radiance data for the entire image. This general method for simulating atmospheric top radiation from satellite remote sensing combines the reliability of physical models with the modeling capabilities of neural networks. It addresses the low reliability of existing satellite remote sensing atmospheric top radiation simulations while also being less time-consuming compared to full-data neural network simulations.

The application provides a precipitation estimation method, system, device and storage medium applied in low-altitude economic services, and the method comprises the following steps: acquiring dual-polarization radar echo data and environmental parameters in a low-altitude atmosphere layer and taking the data and the parameters as inputs of a least mean square algorithm, combining a fuzzy logic control algorithm to dynamically adjust weight coefficients of an adaptive filter, using the adaptive filter with the adjusted weight to suppress noise of the dual-polarization radar echo data, and obtaining filtered radar echo data; extracting key precipitation characteristic parameters from the filtered radar echo data and calculating radar original precipitation estimation values; acquiring observation data of a ground meteorological station and performing fusion processing to generate regional precipitation reference data; using the regional precipitation reference data, determining correction coefficients by using a regularized linear regression method, correcting the radar original precipitation estimation values by using the correction coefficients, and outputting final precipitation estimation values. The application effectively improves the precipitation estimation precision in a low-altitude scene.

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.

A retrofit window insulation system that achieves a low solar thermal gain coefficient (SHGC) above 0.10 or below. The retrofit window insulation system is an ultra-light, ultra-transparent, low-emissivity polymer window cover in combination with mechanically deployable sunshade screens and / or shutters to provide an alternative sunshade effect, enabling adjustable control of daylight and solar heating. A spectrally selective coating on a louver comprising a phase change material (PCM) for storing daytime heat is particularly effective. Placing a reflective film on the outward facing surface of the shutter not only reflects sunlight, but also emits thermal radiation through the earth's atmosphere back to the cold space. If the shutter is placed between the modified window insulation system and the original window glass, the temperature of the air gap between the window and the modified window insulation system is increased, so that heat energy is stored in the PCM. Along with the weakening of the sunlight at nightfall, the heat energy stored in the PCM can be transferred into the building.

A plasma generating device for producing artificial auroras includes a plasma generating apparatus and an artificial auroras generating platform. The plasma generating apparatus includes a solenoid coil, an inner metal cylindrical electrode, an outer metal cylindrical electrode, a gas injection window, and a single-stage capacitor. After the fuel gas diffuses uniformly between the inner and outer metal cylindrical electrodes, it is ionized and accelerated by the single-stage capacitor, forming a dense, compact ring plasma. The artificial auroras generating platform includes a vacuum glass chamber, an inlet valve, a second solenoid coil, a vacuum pump assembly, and a high-speed camera. The compact ring plasma collides with the injected neutral gas inside the vacuum glass chamber, forming strip-shaped auroral bands visible to the naked eye under the influence of the second solenoid coil. In this invention, the compact ring plasma replaces high-energy charged particles, the neutral gas simulates the Earth's atmosphere, and the magnetic field generated by the second solenoid coil simulates the Earth's magnetic field environment and captures the compact ring plasma.

The invention discloses an elevated point source emission area carbon dioxide dry air column concentration simulation method and application, and the method comprises the steps: S1, simulating the continuous emission and three-dimensional diffusion process of elevated point source carbon dioxide, and obtaining the mass concentration of carbon dioxide at any spatial position; s2, converting to obtain the volume concentration of carbon dioxide; s3, dividing the continuous atmosphere into a plurality of rough atmosphere layers; s4, dividing the rough atmospheric layer near the ground into a plurality of subdivided atmospheric layers; s5, performing carbon dioxide dry air column segmentation on the elevated point source emission area, and constructing a carbon dioxide dry air column concentration weighted calculation model to simulate and obtain the carbon dioxide dry air column concentration at any spatial position in the downwind direction of the emission area; according to the method, accurate simulation of carbon dioxide dry air column concentration in a designated area and data matching with a remote sensing image are realized based on the actual emission condition of an elevated point source, the calculation precision is basically consistent with that of a recognized highest-precision carbon satellite, and the method can be effectively used for carbon satellite calibration and carbon dioxide data acquisition.

The embodiment of the specification provides a method and device for predicting aircraft icing potential based on fuzzy logic and a medium, the method comprising: establishing a fuzzy logic membership function about atmospheric temperature, relative humidity and cloud top temperature according to atmospheric temperature, relative humidity, cloud top temperature, air vertical velocity and atmospheric layer liquid water content; establishing a fuzzy logic membership function about air vertical velocity and atmospheric layer liquid water content and obtaining a SCIP algorithm equation; obtaining parameters of a future period or historical prediction, substituting into and solving the SCIP algorithm equation to obtain an aircraft icing index; determining an icing degree of the aircraft in the future period according to the icing index and an icing degree judgment threshold, and planning to determine an aircraft flight route. The two elements of air vertical velocity and atmospheric layer liquid water content affecting the aircraft icing in the air are added in the CIP algorithm, so that the generalization performance and anti-fitting performance of the diagnosis algorithm are improved.