Correction forecasting method and system for atmospheric haze numerical forecasting
A technology of numerical forecasting and forecasting system, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as inability to scientifically and rationally guide power grid enterprises, optimize power generation scheduling, reduce haze, etc., to improve atmospheric air quality , reduce the use of electric energy, and ensure the effect of objectivity
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Embodiment 1
[0056] see figure 1 , a method for correcting and forecasting the numerical forecast of atmospheric haze according to an embodiment of the present invention, the method for correcting and forecasting comprises the following steps:
[0057] Step S100: Select the area for smog forecasting to be the central and eastern regions of my country, and the specific latitude and longitude range is from 100°E to 120°E, and from 20°N to 55°N, and divide this area into equal longitudes and latitudes of 9 kilometers by 9 kilometers grid;
[0058] Step S200: Collect the initial field data and boundary condition data of China's global model at 12 o'clock on January 1, 2019 (UTC), and use it as the initial field data and boundary condition data at the start time of the haze numerical prediction ;
[0059] Step S300: Interpolate the collected initial field data and boundary condition data to the above-mentioned equal longitude and latitude grid to obtain grid data of unified grid points;
[00...
Embodiment 2
[0078] see figure 2 , a correction forecast system for numerical forecasting of atmospheric haze according to an embodiment of the present invention, the correction forecast system includes an area selection and division module 101, a data collection module 102, a data interpolation module 103, a spatial distribution data generation module 104 and a memory neural network training module 105 .
[0079] Wherein, the region selection and division module 101 is used to select the region that needs to carry out the haze numerical forecast, and divides the region into equal latitude and longitude grids; the data collection module 102 is used to collect initial field data and boundary condition data of a global model, Use it as the initial field data and boundary condition data for numerical prediction of smog; the data interpolation module 103 is used to interpolate the collected initial field data and boundary condition data according to the grid of equal latitude and longitude to...
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