Product
Patsnap Eureka
For R&D, Patsnap Eureka makes reading and utilizing patents & technical documents easy.
Patsnap Eureka AIR
Designed for self-driven R&D workflows. Generate viable solutions, solve complex R&D challenges, empower your innovation with AI.
Patsnap Eureka Materials
Designed for material experts only. Revolutionize your material R&D, from search, analyze, to developing new materials.
Feature
TechResearch
Generate reliable direction feasibility study reports for your R&D in just a few steps.
TechSeek
Discover and master advanced knowledge NOW. Basics, ideas, possibilities, all at once.
TechMind
As an expert in R&D Theories, TechMind can generates customized viable solutions instantly.
TechRisk
Analyze your overall solution with one click, know your potential R&D risks in advance.
TechMonitor
Get weekly tech updates, stay abreast of the latest tech innovations and key insights.
Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
49 results about "Climate model" patented technology
Efficacy Topic
Property
Owner
Technical Advancement
Application Domain
Technology Topic
Technology Field Word
Patent Country/Region
Patent Type
Patent Status
Application Year
Inventor
Climate models use quantitative methods to simulate the interactions of the important drivers of climate, including atmosphere, oceans, land surface and ice. They are used for a variety of purposes from study of the dynamics of the climate system to projections of future climate.
System for Multivariate Climate Change Forecasting With Uncertainty Quantification
ActiveUS20170176640A1Rigorously quantify the uncertaintyReliable toolWeather condition predictionIndication of weather conditions using multiple variablesData setClimate index
A system and method for providing multivariate climate change forecasting are provided that obtain, from one or more climate model datasets, simulated historical and future climate model data, and from one or more climate observational datasets, historical observed climate data. A statistical distribution, using a Bayesian model, is provided of extremes or climate indices for one or more variable climate features using the simulated climate model data and the observed climate data. One or more metrics are determined, including a prediction of a future climate variable for a determined future time period, a confidence bound of the prediction of the future climate variable for the determined future time period, and a prediction bound for the future climate variable for the determined future time period. The metrics can be transmitted to a variety of applications in a variety of formats.
Owner:NORTHEASTERN UNIV
Statistical Prediction Functions For Natural Chaotic Systems And Computer Models Thereof
ActiveUS20130231906A1Weather condition predictionComputation using non-denominational number representationClimate stateDegree day
Embodiments generally relate to methods of accurately predicting seasonal fluctuations in precipitation or other approximate functionals of a climate state space, such as the number of heating or cooling degree days in a season, maximum river flow rates, water table levels and the like. In one embodiment, a method for predicting climate comprises: deriving a climate attractor from a global climate model, wherein a tuning parameter for the climate attractor comprises a value of total energy for moving air and water on the earth's surface; estimating a predictive function for each of a plurality of computational cells within the global climate model; and predicting an approximate climate functional of interest for a given specific location utilizing a combination of the predictive functions from each of the plurality of computational cells geographically proximate the location, where at all stages, predictive functions are selected in part by comparison to historical data.
Owner:OFS FITEL LLC
System and method for simulating regional rainfall process
InactiveCN103143465ARealize generationRealize simulationEducational modelsLiquid spraying apparatusPhysical modelSimulated rainfall
The invention relates to a system for simulating the regional rainfall process, which comprises a hydro-meteorological database, a rainfall process generation subsystem, a rainfall process control subsystem and a rainfall simulation subsystem, and further comprises a regional climate model database, a station information database, a regional climate model, a station information interpolation device, a scale transformation device, a water spray control device, a water supplying device, a spray device, and a sensor mounted on a regional physical model, wherein spray units are arranged crosswise to form a spray unit array. Through the integration of the hydro-meteorological database, the rainfall process generation subsystem, the rainfall process control system and the rainfall simulation units, the generation and the simulation of the past, present and future rainfall processes in the designated area are achieved. The natural rainfall process can be better simulated, and the system has an important scientific research value in the fields of the watershed runoff generation and flow routing process, the research on hydrology and water resources in the lack-data watershed, the inspection and the optimization of the hydrographic station net arrangement, and the intelligence watershed research, and provides a scientific tool for simulation study and application of the regional hydrology.
Owner:CHINA INST OF WATER RESOURCES & HYDROPOWER RES
High-resolution vegetation productivity remote sensing estimation method based on downscaling
InactiveCN110276304AHigh precisionUniversalCharacter and pattern recognitionResourcesTerrainDownscaling
The invention provides a high-resolution vegetation productivity remote sensing estimation method based on downscaling. The high-resolution vegetation productivity remote sensing estimation method based on the downscaling comprises: carrying out downscaling on factors LAI / FPAR estimated by vegetation productivity, and obtaining high-resolution LAI / FPAR of a time sequence; performing spatial interpolation and terrain correction on the temperature to obtain a high-resolution temperature factor; simulating high-resolution solar short-wave radiation by using a mountainous microclimate model; inputting the downscaled high-resolution LAI / FPAR, the terrain-corrected high-resolution temperature factor and the solar short wave radiation data into a vegetation productivity model MuSyQ-NPP to obtain the high-resolution GPP / NPP of the continuous time sequence. The advantages of remote sensing data with different resolutions are fully exerted, the remote sensing data with high resolution and low resolution are fused, a technical scheme of a high-resolution vegetation productivity product with higher precision and stronger universality is constructed, and the problems that an existing vegetation productivity downscaling scheme is low in precision and insufficient in universality are solved.
Owner:BEIJING NORMAL UNIVERSITY
Climate prediction system
InactiveCN109426886AImprove accuracyLong time forecast for climateForecastingICT adaptationOcean circulation modelDynamic method
The invention discloses a climate prediction system, which is characterized by comprising the observation data; a data assimilation system; a climate model operation subsystem; a prediction subsystem;a product subsystem; and a high-performance computer. The data assimilation system comprises a data assimilation and support subsystem; the climate model operation subsystem comprises a global general circulation model, a global ocean circulation model, a high-resolution East Asian regional climate model and a simplified ENSO prediction model. The prediction subsystem comprises a prediction correction and detection subsystem; the product subsystem comprises a product generation and distribution subsystem, wherein the coupling of the global atmospheric circulation model and the global ocean circulation model constitutes an air-sea coupled model. By combining the statistical method with the dynamic method, and combining the multiple initial values with the multiple models, the climate prediction system has the advantages of long prediction time, high accuracy, fast computation speed and strong regional pertinence.
Owner:北京思湃德信息技术有限公司
Analysis method of response of surface water quality to drought and flood events
InactiveCN106202857AAnalyze Response RelationshipsSpecial data processing applicationsInformaticsTotal nitrogenBusiness forecasting
The invention discloses an analysis method of response of surface water quality to drought and flood events. The analysis method is characterized by comprising the following steps: step one, analyzing historical evolution and developing trend of drought and flood events; step two, building and calibrating an SWAT model; step three, calculating total nitrogen and total phosphorus; and step four, analyzing response of the surface water quality to the drought and flood events. Compared with the prior art, the analysis method is capable of screening typical representative months of drought events, flood events and drought and flood sudden turning events by combining indexes such as a standardized precipitation index, 24-hour precipitation amount and continuous non-rainy days and the like based on climate model forecasting results, the SWAT model and a statistic analysis method, comparing and analyzing the influence of drought and flood events to the water quality of the typical months and effectively analyzing a response relationship between the surface water quality change and the drought and flood events. The analysis method is especially applicable to analysis of the response of the surface water quality to the drought and flood events in the Hetao area.
Owner:CHINA INST OF WATER RESOURCES & HYDROPOWER RES
Method for process adjustment and risk identification of operation of water resource system of Internet of water
ActiveCN105868868AEfficient use ofImplementation steps are clearGeneral water supply conservationForecastingAutomatic controlWater source
The invention belongs to the technical field of water resource management, and particularly relates to a method for process adjustment and risk identification of operation of a water resource system of Internet of water. The method is characterized in that irrigation water demand information is provided for a regional multi-water-resource optimization allocation model based on real-time perceptual information, and real-time water demand is determined by a real-time water distribution decision-making model; a medium and long term runoff forecasting model is used for forecasting the runoff volume of a drainage basin in the future month by month; a downscaling climate model is used for providing input for a short and medium term hydrologic forecasting model; an underground water simulation forecasting model is used for regulating the level of underground water; a coupled forecasting multi-water-resource optimal dispatching model is combined with all the information to achieve combined dispatching of multiple water resources; a multi-water-resource dispatching model provides a day-by-day runoff water distribution decision, and water flow transportation is achieved through a water resource transportation automatic control unit so that precise distribution can be achieved. The method can be widely applied to drainage basin (region) water resource management, especially efficient utilization of water resources in irrigated areas. Implementation steps are clear, and projects are easy to realize.
Owner:TSINGHUA UNIV
Method for inverting boundary layer height based on coherent anemometric laser radar carrier-to-noise ratio
InactiveCN110031868AUse exemptRealize simultaneous measurementElectromagnetic wave reradiationICT adaptationCovarianceWind lidar
The invention discloses a method for inverting boundary layer height based on coherent anemometric laser radar carrier-to-noise ratio. The basal principle is as follows: a coherent anemometric laser radar is used for acquiring a carrier-to-noise ratio vertical profile; after performing signal normalization, the signal is processed by utilizing wavelet covariance conversion; and the height corresponding to a maximum value after the wavelet conversion is used as the height of the top of the atmospheric boundary layer. Compared with the existing algorithm, the statics atmospheric boundary layer height with high time resolution can be acquired by using the coherent anemometric laser radar; the dynamics atmospheric boundary layer height acquired through wind field inversion is in favor of further improving the precision of a climate model, a weather forecast model, and the atmosphere pollution diffusion model.
Owner:山东国耀量子雷达科技有限公司
Automatic air conditioner controller with weather model
ActiveCN106288155ARealize automatic controlAdapt to comfortMechanical apparatusSpace heating and ventilation safety systemsAuto regulationAutomatic train control
The invention discloses an automatic air conditioner controller with a weather model, relates to the field of automatic control of air conditioners, and solves the defects of only capability of manually controlling a traditional air conditioner and incapability of improving the traditional air conditioner according to specific conditions. The automatic air conditioner controller comprises an antenna communication module connected with a MCU, a temperature / humidity sensor, a clock module, a human body induction module and a power supply relay, and is provided with an infrared calculating code library and an automatic control policy for realizing automatic air conditioner control. The automatic air conditioner controller really realizes automatic control of the air conditioner, and actuates the control policy for automatically adjusting the air conditioner formed by geographic features, crowd features and climate features of the twenty-four solar terms in places of users; on the one hand, the indoor temperature and humidity are adjusted to adapt to the human body comfort; and on the other hand, the energy can be saved.
Owner:深圳市北电仪表有限公司
System and method for monitoring a state of a fluid in an indoor space as well as a climate control system
ActiveUS20170045548A1Overcome expensiveInexpensive sensorThermometers using electric/magnetic elementsUsing electrical meansControl systemMonitoring system
A monitoring system for monitoring a state of a fluid in an indoor space including a state of a flow field for said fluid is presented. The system includes an input unit (81), a simulation unit (82), a comparison unit (83) and a state correction unit (84). The input unit (81) comprises a plurality of temperature sensors (81a, 81b, . . . , 81mT) to obtain temperature measurement data indicative for a temperature field in said indoor space. The simulation unit (82) is provided to simulate the fluid in said indoor space according to an indoor climate model to predict a state of the fluid including at least a temperature field and a flow field for the fluid in said indoor space, and has an output to provide a signal indicative for the flow field. The comparison unit (83) is provided to compare the predicted temperature field with the temperature measurement data, and the state correction unit (84) is provided to correct the predicted state of the fluid based on a comparison result of said comparison unit (83). The monitoring system may be part of a climate control system.
Owner:NEDERLANDSE ORG VOOR TOEGEPAST-NATUURWETENSCHAPPELIJK ONDERZOEK (TNO)
Atmospheric boundary layer detection method based on hybrid laser radar
The invention discloses an atmospheric boundary layer detection method based on a hybrid laser radar. The basic principle is that the hybrid laser radar is used, a direct detection aerosol laser radarsystem and a coherent wind-measuring laser radar system are integrated, the vertical profiles of aerosol optical characteristics and turbulence intensity are simultaneously detected the atmospheric boundary layer heights are separately inverted, and various types of atmospheric boundary layers are judged by comparing the difference between the heights with a selected threshold value. The atmospheric boundary layers can be quantitatively classified with only one device, and various types of boundary layers can be quantitatively parameterized, the atmospheric boundary layer detection method based on the hybrid laser radar is helpful to further improve the accuracy of atmospheric models such as climate models, weather forecast models and atmospheric pollution diffusion models.
Owner:山东国耀量子雷达科技有限公司
Predicting climate data using climate attractors derived from a global climate model
Embodiments generally relate to methods of accurately predicting seasonal fluctuations in precipitation or other approximate functionals of a climate state space, such as the number of heating or cooling degree days in a season, maximum river flow rates, water table levels and the like. In one embodiment, a method for predicting climate comprises: deriving a climate attractor from a global climate model, wherein a tuning parameter for the climate attractor comprises a value of total energy for moving air and water on the earth's surface; estimating a predictive function for each of a plurality of computational cells within the global climate model; and predicting an approximate climate functional of interest for a given specific location utilizing a combination of the predictive functions from each of the plurality of computational cells geographically proximate the location, where at all stages, predictive functions are selected in part by comparison to historical data.
Owner:OFS FITEL LLC
Using Scientific Models in Environmental Simulations
ActiveCN102265259AIndoor gamesSoftware simulation/interpretation/emulationGraphicsScientific modelling
Use of scientific models to generate graphical virtual environments is described. In an embodiment at least two different scientific models are used. Input data which is representative of a real world environment is used by a first scientific model, such as a climate model, and data output by the first scientific model is then fed into a second, different, scientific model, such as an ecological model, in order to generate simulation data. The simulation data, which may, for example, detail the required population density of particular plant species and their size and age, is then used by a graphical simulation engine to generate a graphical virtual environment which may, for example, be used in a computer game such as a flight simulation game.
Owner:MICROSOFT TECH LICENSING LLC
Prediction method for regional wind power electric quantity based on climate state wind speed prediction
ActiveCN104598715AGood effectOvercoming the problem of difficult long-term power forecastingSpecial data processing applicationsICT adaptationElectricityClimate state
The invention provides a prediction method for regional wind power electric quantity based on climate state wind speed prediction. The method comprises the steps that wind speed prediction is conducted in a climate model; Weibull distribution parameters of wind are confirmed; the electric quantity of a single wind turbine generator set is confirmed; the wind power electric quantity of the region is confirmed. According to the prediction method for the regional wind power electric quantity based on the climate state wind speed prediction, long-term electric quantity prediction is conducted according to the climate state statistical characteristics of wind speed.
Owner:STATE GRID CORP OF CHINA +3
Method for evaluating grape climate regionalization in Chinese continental monsoon climate regions
The invention discloses a method for evaluating grape climate regionalization in a Chinese continental monsoon climate region. The method comprises the following steps: collecting data, analyzing thedata, establishing a digital elevation model, establishing a climate model and establishing a damp-heat index. Based on the digital elevation model, space calculation combining multivariate linear stepwise regression and residual interpolation is adopted, simulation errors are reduced to a great extent, it is found that the matching degree of a zoning scheme and actual cultivation conditions of all counties is extremely high through comparison with climate zoning results, the important factor of air humidity is added into the zoning scheme, the index of the damp-heat index is provided by referring to the hot index for evaluating the comfort degree of people, and the index quite conforms to the climate characteristics of China.
Owner:SHANDONG AGRICULTURAL UNIVERSITY
System for multivariate climate change forecasting with uncertainty quantification
ActiveUS10488556B2Rigorously quantify the uncertaintyReliable toolWeather condition predictionIndication of weather conditions using multiple variablesData setClimate index
A system and method for providing multivariate climate change forecasting are provided that obtain, from one or more climate model datasets, simulated historical and future climate model data, and from one or more climate observational datasets, historical observed climate data. A statistical distribution, using a Bayesian model, is provided of extremes or climate indices for one or more variable climate features using the simulated climate model data and the observed climate data. One or more metrics are determined, including a prediction of a future climate variable for a determined future time period, a confidence bound of the prediction of the future climate variable for the determined future time period, and a prediction bound for the future climate variable for the determined future time period. The metrics can be transmitted to a variety of applications in a variety of formats.
Owner:NORTHEASTERN UNIV
Statistical downscaling method based on non-stationary time series decomposition
ActiveCN111597494AAddressing the Consistency Assumption ProblemSolve the scale mismatch problemComplex mathematical operationsICT adaptationAlgorithmStatistical relation
The invention relates to a statistical downscaling method based on non-stationary time series decomposition. The method comprises the specific steps of S1, downscaling data preparation; S2, decomposing a non-stationary time sequence; S3, selecting an optimal time sequence decomposition result; S4, training a random forest model; S5, synthesizing decomposition components of the time sequence aftertraining; S6, performing model evaluation; and S7, downscaling a future scene. According to the method, a statistical relationship is searched among steady-state components; therefore, the problem ofrelated statistical relationship consistency hypothesis in statistical downscaling is solved, the problem of scale mismatching always existing between a climate model and a hydrological model is solved, and a more reliable way is provided for basin response in a series of researches such as future climate change by utilizing the hydrological model.
Owner:SHANDONG UNIV
Rainfall identification method and device based on wind measurement laser radar
PendingCN112526548AAccurate identificationPrecise separabilityWeather condition predictionElectromagnetic wave reradiationTemporal resolutionWind lidar
The invention discloses a rainfall identification method and device based on a wind measurement laser radar. According to the method and device of the invention, the skewness coefficient of the powerspectrum of the wind measurement laser radar can be utilized to identify rainfall and perform wind speed and rain speed separation. The basic principles of the method are as follows: aerosol and raindrop signals exist at the same time under a rainfall condition, the power spectrum has obvious skewness, and a rainfall power spectrum is identified according to the skewness; double-peak inspection iscarried out on the identified rainfall power spectrum; double-peak fitting is directly carried out on a power spectrum with an obvious double-peak structure, and double-peak fitting is carried out ona power spectrum without the obvious double-peak structure through few fitting parameters. And finally, separation of wind speed and rain speed is realized. The method is applied to guaranteeing aviation safety, contributes to improving a climate model, a weather forecast model and an atmospheric pollution diffusion model, and has the advantages of high flexibility, high spatial-temporal resolution and high accuracy.
Owner:南京泰爱信科技有限公司
Health-care climate evaluation method combining climate data and social perception data
The invention discloses a health-care climate evaluation method combining climate data and social perception data. The method comprises the following steps: S1, collecting historical climate information and latitude and longitude information of different positions in an evaluation area; s2, calculating a temperature and humidity index IH, a wind-cold index IWC and a holiday index IHC of all positions in the set area in each day within a set year number; s3, constructing a health-care climate model; s4, constructing a health-care climate social perception model; s5, according to the health-care climate model and the health-care climate social perception model, a final health-care climate evaluation model is constructed; s6, performing classification and grading evaluation on the result by using a natural breakpoint method through reclassification; and finally, a result D is obtained, D is a geographic space distribution map layer, the file is raster data and is composed of pixels organized according to rows and columns, and each pixel comprises latitude and longitude information of the point and a D value. According to the method, historical data information, social perception data and multi-source data fusion evaluation are combined, and the evaluation model of the health and maintenance climate can be accurately obtained.
Owner:四川省气候中心(西南区域气候中心)
Radiation transfer calculation method suitable for cloud micro-physical properties continuous variations
ActiveCN107748733ASolve the problem of vertical unevennessImprove radiation calculation accuracyScattering properties measurementsComplex mathematical operationsRadiation transferOmega
The present invention relates to a radiation transfer calculation method suitable for cloud micro-physical properties continuous variations, based on a two-stream approximation scheme, the method comprising the following steps of 1) representing radiation flux of the cloud micro-physical properties continuous variations as a sum of constant terms and disturbance terms; 2) calculating and obtainingfirst radiation flux according to a traditional two-stream radiation transfer equation, and setting the first radiation flux as the constant terms; 3) substituting an asymmetry factor g and a singlescattering albedo [omega] into a traditional two-stream radiation transfer strength equation in a parameterized form by a perturbation method and forming a heterogeneity caused disturbance term equation set, and solving the heterogeneity caused disturbance term equation set and obtaining second radiation flux represented by two perturbation factors epsilon<omega> and epsilon<g>; and 4) summing thefirst radiation flux and the second radiation flux and solving the radiation flux of the cloud micro-physical properties continuous variations. The vertical nonuniform problem of intra-cloud opticalproperties in a climate model is effectively solved by the method, thereby improving accuracy of radiation calculation.
Owner:NANJING UNIV OF INFORMATION SCI & TECH
Early warning method of extreme climate and composite extreme climate comprehensive early warning system
ActiveCN113792480AImprove accuracyCharacter and pattern recognitionDesign optimisation/simulationMultivariate statisticalCorrelation analysis
The invention discloses an early warning method of an extreme climate and composite extreme climate comprehensive early warning system, and belongs to the technical field of climate prediction. The system comprises a data preprocessing system, a global climate model optimization system, a regional climate model dynamic downscaling and parameterization scheme optimization system, a statistical downscaling system, a set prediction system, an extreme climate index and composite extreme climate index system, a relationship establishment system and a classification system. Future climate change scenes as many as possible are obtained through global climate model optimization, RCM regional climate model dynamic downscaling and parameterization scheme optimization in combination with a coupling dynamic-statistical downscaling mode and a set prediction mode; by calculating extreme climate indexes and composite extreme climate indexes under different scenes, the relationship between the indexes and agricultural activities is established based on a multivariate statistical method or a correlation analysis method. According to the invention, favorable support is provided for agriculture to cope with future extreme and composite extreme climate changes.
Owner:NORTH CHINA ELECTRIC POWER UNIV (BAODING)
Climate change prediction method and system based on improved bp neural network fitting multiple climate models
ActiveCN105740991BMake up for the defect that the forecast is often biasedStrong non-linear mapping abilityForecastingNeural learning methodsAlgorithmNetwork model
The present invention discloses a climate change prediction method and system for fitting various climate modes based on a modified BP neural network. The method comprises the following steps: collecting rainfall data that characterizes a climate change feature; performing downscaling processing on climate mode prediction grid data, so as to obtain a long series of data with the same resolution as measured data; performing average correction on a downscaled climate mode prediction series; establishing a modified BP neural network model and determining a network model structure; training and inspecting the established BP neural network model; and predicting a future climate spatial-temporal change using a model output. According to the method and system disclosed by the present invention, output / input data processing of the BP neural network is modified, and various climate modes are fit to predict the future climate change, so that reliability of the prediction result is increased, and the defects that the deviation of a single mode is relatively large during an assessment and that basin space nonuniformity is not considered during a multi-mode collection assessment and the like are made up.
Owner:HOHAI UNIV
A Correction Method of Rainfall Deviation Based on Segmentation Thought
ActiveCN107944466BHigh precisionImprove reliabilityData processing applicationsCharacter and pattern recognitionRainfall simulationAtmospheric sciences
The invention discloses a method for correcting rainfall deviation based on the idea of segmentation, aiming at improving the rainfall simulation accuracy of a series of rainfall models such as climate model, downscale model and rainfall generation model. The method includes: 1) dividing the measured rainfall sequence into three parts: minimum value, normal value and maximum value based on the quantile of the measured rainfall sequence; 2) dividing the simulated rainfall sequence into three parts based on the quantile of the simulated rainfall sequence It is also divided into three parts: minimum value, normal value and maximum value; 3) based on the three-segment data of the measured rainfall sequence, the deviation correction is performed on the three-segment data of the simulated rainfall sequence; 4) a newly proposed evaluation index is adopted , to effectively evaluate the effect of rainfall bias correction. The beneficial effects of the present invention are: effectively eliminating the error between the simulated rainfall of the rainfall model and the actual measured rainfall, improving the rainfall simulation accuracy of the rainfall model; laying a solid foundation for the correction of the deviation of the rainfall model's future prediction of rainfall, and improving the reliability of its prediction sex.
Owner:ZHEJIANG UNIV
Statistical Prediction Functions For Natural Chaotic Systems And Computer Models Thereof
ActiveUS20160003976A1Enhanced informationRainfall/precipitation gaugesWeather condition predictionChaotic systemsComputer science
A method and apparatus for precipitation prediction is provided. In exemplary embodiments, the method may comprise, at a server having one or more processors and memory storing one or more programs for execution by the one or more processors: decomposing climate model attractors; receiving ground data in a region from a client as well as global data; reweighting and reordering the relative importance of the climate model attractors based on a rank and incorporating the ground data; reassembling a selected group of data including the ground data, thereby adding information to the climate model; and generating a prediction of regional weather based on the reassembled selected group of data.
Owner:OFS FITEL LLC
Method for establishing plant growth microclimate model
InactiveCN110800516ASimulation is accurateReduce workloadClimate change adaptationLeaf crop cultivationGrowth plantAir volume
The invention discloses a method for establishing a plant growth microclimate model, which includes the following steps: firstly, determining environmental parameters of different growth stages of plants according to experience; inputting the environmental parameters into a climate controller; and adjusting, by the climate controller and an state observer, output environmental parameters; outputting the output environmental parameters to a corresponding blower with controllable air volume, a sprinkler with controllable rainfall and an electric heater with controllable temperature to generate corresponding switching actions; and at the same time, storing current environmental parameter data in a database of the climate controller in a structured manner, and continuously circulating. According to the method, the plant production environment can be accurately simulated, the fact that plants need different microclimates to be automatically adapted in different growth stages is achieved, cyclic regulation and control of microclimate models in the working process is realized, and the workload of workers and the cost are reduced.
Owner:XIAMEN TOP SUCCEED ELECTRONICS TECH
A Method of Atmospheric Boundary Layer Detection Based on Hybrid LiDAR
The invention discloses an atmospheric boundary layer detection method based on a hybrid laser radar. The basic principle is: using a hybrid lidar, integrating the direct detection aerosol lidar system and the coherent wind measurement lidar system, simultaneously detecting the vertical profile of aerosol optical properties and turbulence intensity, and inverting the height of the atmospheric boundary layer respectively , using the comparison of the difference between the two and the selected threshold to determine different types of atmospheric boundary layers. This method can quantitatively classify the atmospheric boundary layer with only one device, and carry out quantitative and parametric description of various types of boundary layers, which is helpful for improving the accuracy of atmospheric models such as climate models, weather forecast models, and atmospheric pollution diffusion models. Further improve.
Owner:山东国耀量子雷达科技有限公司
An assessment method for assessing landslide disaster losses induced by climate change rainfall
ActiveCN114510851BAdaptation to regional climate change impact assessment is goodAddressing Difficult to AssessRainfall/precipitation gaugesWeather condition predictionSoil scienceSpatial heterogeneity
The invention discloses an evaluation method for evaluating landslide disaster loss induced by climate change and falling water, and belongs to the technical field of geological disaster prevention and control. This method uses the physical process model, considers the spatial heterogeneity of the surface characteristics of each grid point in the region, and obtains the precipitation threshold corresponding to each spatial grid point in the region with spatial heterogeneity; combined with historical and climate model data, the optimal The climate model was established, and then the landslide-prone area and the possible rush-out and impact area were simulated by the model. The impact range simulated by this method can better match the disaster loss grid data, which solves the problem of climate in landslide disaster assessment. Change scenarios and landslide impacts are difficult to assess.
Owner:NANJING UNIV OF INFORMATION SCI & TECH
Wind speed downscaling method based on climate model and joint distribution function
PendingCN113849979ADesign optimisation/simulationComplex mathematical operationsWind runAtmospheric sciences
The invention discloses a wind speed downscaling method based on a climate model and a joint distribution function, and belongs to the technical field of regional climate change. The method comprises the steps of 1, collecting historical near-surface wind direction and wind speed, grid near-surface wind speed and HadGEM3-GC31-LL climate model data; 2, repairing the near-surface wind speed of a site lacking in space and time by using an inverse distance weighting method and a linear interpolation method respectively; 3, performing dynamic downscaling on the target region by using a RegCM region climate model; 4, performing statistical downscaling on the target region, and determining an interaction relationship between a simulation value and an observation value of the regional climate model; and 5, estimating the future near-surface wind speed. According to the method, the defect that only single power or statistical downscaling is applied in the current research is overcome, and a scientific basis is provided for development and utilization of wind energy in China and even in the global region.
Owner:BEIJING NORMAL UNIVERSITY
A Calculation Method for Radiative Transfer Applicable to Continuous Variation of Cloud Microphysical Properties
ActiveCN107748733BSolve the problem of vertical unevennessImprove radiation calculation accuracyScattering properties measurementsComplex mathematical operationsOptical propertyAlbedo
The present invention relates to a radiative transfer calculation method suitable for continuous changes in cloud microphysical properties. Based on a second-flow approximation scheme, the method includes the following steps: Step 1) Expressing the radiant flux with continuous changes in cloud microphysical properties as a constant term and a disturbance term and; step 2) calculate the first radiant flux according to the traditional second-flow radiative transfer equation, and set the first radiant flux as the constant item; step 3) use the perturbation method to combine the asymmetry factor g and the unit Substituting the parameterized form of the scattering albedo ω into the traditional two-flow radiation transfer intensity equation to form a non-uniformity-induced disturbance term equation group, and by solving the non-uniformity-induced disturbance term equation group, two micro-disturbance factors and the expression The second radiant flux; step 4) summing the first radiant flux and the second radiant flux to complete the solution of the radiant flux with continuously changing microphysical properties of the cloud. This method effectively solves the vertical inhomogeneity of optical properties inside clouds in climate models, thereby improving the accuracy of radiation calculations.
Owner:NANJING UNIV OF INFORMATION SCI & TECH
Who we serve
- R&D Engineer
- R&D Manager
- IP Professional
Why Patsnap Eureka
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com