Neural network method for precisely determining tropospheric delay in region
A technology of tropospheric delay and neural network, which is applied in the field of neural network for accurately determining regional tropospheric delay, and can solve problems such as high cost, affecting simulation results, and difficult operation
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Embodiment 1
[0053] The method for accurately calculating regional tropospheric delay of the present invention is:
[0054] [Step 1] Data collection. Meteorological stations need to carry out sounding balloon meteorological observations for weather forecasting. The format of the observation data results is shown in columns 1 to 5 in Table 1. [Note: According to the meteorological observation regulations of sounding balloons, the isobaric surfaces are measured respectively: 1000hpa, 925hpa, 850hpa, 700hpa, 500hpa, 400hpa, 300hpa, 250hpa, 200hpa, 150hpa and 100hpa altitude (h), temperature (t), Dew point temperature (td), and other meteorological elements. The first row in Table 1 is the data of layer h0, which is the surface meteorological elements. 】First of all, it is necessary to collect meteorological observation data of a certain number of "sounding balloon meteorological observation stations" in the region.
[0055] For the convenience of description, the "sounding balloon meteorol...
Embodiment 2
[0111] [Step 1] Data collection.
[0112] An area with an area of about 100,000km 2 , this regional meteorological station has carried out sounding balloon meteorological observation at 200 stations (the inventive method is referred to as " measurement control point ") for weather forecast. We have carried out relevant data collection, have collected all data of the meteorological observation of air-sounding balloon from May 1st, 2010 to November 1st, 2010 at 200 stations in this area, and the observational data required by the inventive method are organized into Table 1 format. To establish the calculation model of tropospheric delay in this area, we only selected the observation data of 16 stations on May 1, 2010, and the remaining data were used to analyze and test the effect of the method of the present invention.
[0113] Explanation: (1) Only the observation data on May 1, 2010 are selected for modeling. (2) In order to analyze and compare the calculation effect of ...
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