12 results about "Shortwave radiation" patented technology

Disclosed in the present invention is a method for studying the interannual variability of marine heatwaves in the Southern Indian Ocean. The method includes: on the basis of acquired data, exploring the spatial distribution characteristics and linear variation trend characteristics of marine heatwaves in the Southern Indian Ocean; analyzing the relationship between the intensity of marine heatwaves in the Southern Indian Ocean and an El Niño-Southern Oscillation (ENSO) process; analyzing the spatial evolution of marine heatwaves and sea surface temperature anomalies in the Southern Indian Ocean during El Niño events; analyzing the energy contributions of the ocean and atmosphere to marine heatwave events during El Niño events, and exploring the physical mechanism of marine heatwaves in the Southern Indian Ocean; and determining whether marine heatwaves in the Southern Indian Ocean are affected by shortwave radiation and latent heat modulated by the ENSO process. The present invention discovers that during El Niño events, within a study area, low cloud cover decreases while high cloud cover increases, the mixed-layer depth reduces, and shortwave radiation penetrates the sea surface; moreover, northwesterly winds anomalously intensify while climatological southeasterly winds are suppressed, thereby reducing evaporation, decreasing latent heat energy loss, and thus promoting warming.

The application discloses a method for analyzing heat storage of a river-flooded lake based on dynamic parameterization, and relates to the technical field of water resources engineering. The method comprises the following steps: based on water level time series data and underwater topographic parameters of the lake, analyzing time-varying water area and average water depth; based on water quantity, water temperature data, precipitation, evaporation data and water level change rate of inflow and outflow, calculating horizontal heat advection term; based on wind speed data and average water depth, calculating dynamic vertical heat diffusion coefficient; based on average water depth and dynamic vertical heat diffusion coefficient, calculating effective memory time; based on dynamic vertical heat diffusion coefficient, effective memory time and water body extinction coefficient, calculating vertical heat conduction flux; based on average water depth, water body extinction coefficient, net shortwave radiation on water surface and sediment thermal physical property parameters, calculating lake bottom heat exchange term; and synthesizing the net shortwave radiation on water surface, the vertical heat conduction flux, the horizontal heat advection term and the lake bottom heat exchange term to obtain heat storage change rate.

The invention discloses a dynamic parameterization-based thermal reserve analysis method for a flood lake through river, and relates to the technical field of water resource engineering, and the method comprises the steps: analyzing a time-varying water area and an average water depth based on water level time sequence data and underwater topographic parameters of the lake; calculating a horizontal thermal advection item based on the inflow and outflow water quantity, the water temperature data, the rainfall and evaporation data and the water level change rate; calculating a dynamic vertical thermal diffusion coefficient based on the wind speed data and the average water depth; calculating effective memory time based on the average water depth and the dynamic vertical thermal diffusion coefficient; calculating vertical heat conduction flux based on the dynamic vertical heat diffusion coefficient, the effective memory time and the water extinction coefficient; calculating a lakebed heat exchange item based on the average water depth, the water extinction coefficient, the water surface net short wave radiation and the sediment thermophysical property parameters; the water surface net short wave radiation, the vertical heat conduction flux, the horizontal heat advection item and the lakebed heat exchange item are synthesized, and the heat reserve change rate is obtained.

The application discloses a kind of based on radiation form constraint active learning three-dimensional space-time solar radiation prediction method, first obtain long time sequence ground surface net solar shortwave radiation SSR spatial grid data, and construct space-time prediction sample;Subsequently, through radiation sequence representation learning extraction weather feature vector, and using clustering method identifies different radiation weather form;On this basis, construct three-dimensional convolutional neural network prediction model, and introduce active learning sample selection mechanism in model training process, through prediction residual evaluation sample information, simultaneously combined with weather type distribution constraint and K-center diversity screening strategy realizes new training sample selection, to form active learning iterative training process.The method can maintain higher prediction accuracy under the condition of reducing training sample size, improve the training efficiency and generalization ability of solar radiation grid prediction model, and can be applied to photovoltaic power prediction, power dispatching and new energy resource evaluation and other fields.

This invention provides a photosynthetic phenological inversion system combining meteorological suitability and vegetation indices, belonging to the field of remote sensing and ecological environment monitoring technology. The system includes a data input module, a growing season index calculation module, an improved phenological index synthesis module, a time-series reconstruction and phenological extraction module, and a result output and verification module, connected sequentially. It acquires and preprocesses multi-source data; calculates the diurnal growing season index based on temperature, precipitation, photoperiod, and shortwave radiation factor; normalizes the index and couples it with the remote-sensed vegetation index to generate an improved photosynthetic phenological index; extracts the photosynthetic start and end dates using curve fitting and a dynamic threshold method; and finally verifies and determines the optimal technical solution using ground observation data to generate the final product. This invention effectively solves the problems of inaccurate physiological process characterization, high susceptibility to noise interference, and lack of reliable verification in traditional remote-sensing phenological extraction, achieving higher accuracy and more physiologically meaningful large-scale vegetation photosynthetic phenological information extraction.

This invention relates to the field of intelligent irrigation technology, and discloses an intelligent irrigation control system and method for landscaping, including a weather station, an infrared temperature sensor, a solenoid valve, and a controller. The controller establishes a global three-dimensional spatial coordinate system containing two-dimensional ground and facade grid cells, generates a shadow projection matrix based on global solar shortwave radiation, and calculates the effective cumulative radiation on the ground and facade respectively. The effective original canopy temperature is extracted based on the two-dimensional temperature matrix. The lateral longwave thermal radiation warming equivalent is calculated using the effective cumulative radiation on the facade and the equivalent thermal hysteresis coefficient, and this equivalent is subtracted from the original canopy temperature to obtain the corrected true canopy temperature. An adaptive judgment threshold is generated based on the effective cumulative radiation on the ground, the difference between the true canopy temperature and the ambient air temperature is calculated, and the difference is compared with the threshold to generate a command to drive the solenoid valve. This invention helps to eliminate interference from surrounding environmental thermal radiation and improves the accuracy of irrigation control.

The utility model belongs to the field of photovoltaic park microhabitat sensing technical equipment, and discloses a photovoltaic energy flow logistics monitoring device for grassland in an arid area. Aiming at micro-ecological environments inside and outside the photovoltaic park, the device can quantitatively identify near-surface solar short-wave radiation, total radiation, net radiation, photosynthetically active radiation, air temperature and humidity, wind speed and wind direction, rainfall, evapotranspiration, soil temperature and humidity and carbon-water flux changes caused by construction and operation of the photovoltaic park; meanwhile, full-time high-precision vegetation monitoring is carried out in combination with a phenological camera, and adaptive succession characteristics of vegetation to the disturbed habitat of the photovoltaic park are quantified. According to the utility model, by observing organisms / meteorology, water vapor flux and vegetation phenology inside and outside the photovoltaic park in real time, the influence of the photovoltaic park on a local microhabitat and the adaptive succession of surface vegetation on a disturbed microhabitat are quantitatively explored, and the suitability of the photovoltaic park is objectively evaluated.

The application discloses a kind of reflected radiation data interpolation method, system and application, it is related to meteorological field, a kind of reflected radiation data interpolation method, comprising the following steps: obtaining observed radiation data and meteorological data;To incident shortwave radiation data is carried out instrument difference correction;Calculate clear sky index;To reflected shortwave radiation data, instrument difference correction after incident shortwave radiation data and meteorological data outlier rejection;To missing incident shortwave radiation data interpolation;To missing reflected shortwave radiation data interpolation;To reflected shortwave radiation data interpolation result system evaluation.The application provides a kind of reflected radiation data processing method with outlier rejection mechanism, adaptive interpolation capacity and system evaluation function, can systematically solve the problem of exception and missing in observation data, improve the accuracy of interpolation result, data integrity and reliability, provide solid data foundation for subsequent carbon flux calculation, ecological model simulation and remote sensing inversion etc.

The application discloses a photovoltaic power prediction method based on a stationary satellite neural network model, and belongs to the technical field of photovoltaic power prediction, and comprises the following steps: acquiring base station radiation historical observation data, satellite historical observation data and ground meteorological historical observation data, and performing space-time matching on the acquired data; and fusing and enhancing the satellite historical observation data and the ground meteorological historical observation data to obtain enhanced fusion features; constructing a ground shortwave radiation prediction model, taking the enhanced fusion features as input, and taking the base station radiation historical observation data as target output to perform training; acquiring future satellite parameters and inputting the same into the trained ground shortwave radiation prediction model, so that future ground shortwave radiation values can be predicted; and based on the obtained future ground shortwave radiation values, combined with the position information of a photovoltaic power station, photovoltaic module output power can be predicted. Therefore, the application can realize the prediction of photovoltaic module output power.

Disclosed is a device that will take radiometric images of the shortwave spectrum from 0.2-2 μm, which can then be processed into a spherical panoramic image. This single source of data can then be used to produce a wide range of functional outputs for radiative energy analysis, from architectural performance and thermal comfort analysis to replacing the array of sensors required to make specific biometeorological measurements, such as Global Horizontal Irradiance (GHI), Direct Normal Irradiance (DNI), Diffuse Horizontal Irradiance (DHI), Sky View Factor (SVF), and / or Global Tilted Irradiance (GTI). The data is also combined with a longwave array detector to produce full-spectrum radiative energy measurements.

The invention discloses an earth surface downward short wave radiation downscaling calculation method and device and a storage medium. The earth surface downward short wave radiation downscaling calculation method comprises the following steps: acquiring low spatial resolution data and high spatial resolution data; constructing a cloud layer shielding index based on the rainfall data; constructing a stacking model based on integration of various machine learning models, and training the stacking model by adopting low-spatial-resolution data; inputting the obtained high-spatial-resolution data as an input feature vector into the trained stack model to obtain an initial high-spatial-resolution earth surface downward short wave radiation value of high-spatial-resolution earth surface downward short wave radiation; and applying energy conservation constraint to the obtained initial high-spatial-resolution earth surface downward short wave radiation value to perform consistency correction. According to the method, an energy conservation constraint correction mechanism is introduced, and the spatial resolution, precision and physical consistency of the earth surface downward short wave radiation data under the complex terrain condition are effectively improved.