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Method for testing sensitivity of MWHTS to sea surface air pressure based on neural network

A neural network and test method technology, applied in the field of MWHTS sensitivity test to sea surface pressure, can solve the problems of difficult control variables and heavy workload, and achieve the effect of avoiding inaccurate sensitivity test results and simple operation

Active Publication Date: 2021-08-27
LUOYANG NORMAL UNIV
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Problems solved by technology

[0005] In order to solve the above-mentioned technical problems, the present invention provides a neural network-based MWHTS sensitivity test method to sea surface pressure, which avoids the rough adverse effects on traditional sensitivity test methods caused by sea surface pressure participating in radiation transfer calculations, and at the same time To avoid the difficulty of controlling variables and heavy workload in the sensitivity test method based on the natural atmosphere, the calculation of MWHTS simulated brightness temperature is carried out by using neural network, and then the sensitivity test of MWHTS simulated brightness temperature to sea surface pressure is carried out, which provides a Sensitivity Test Method of MWHTS to Sea Surface Pressure Based on Neural Network

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  • Method for testing sensitivity of MWHTS to sea surface air pressure based on neural network
  • Method for testing sensitivity of MWHTS to sea surface air pressure based on neural network

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Embodiment 1

[0036] The climatological data set chosen to be used is the ERA-Interim reanalysis data set of the European Center for Medium-Range Weather Forecasting (ECMWF). Atmospheric parameters specifically include: temperature profile, humidity profile, cloud water profile, sea surface temperature, sea surface humidity, sea surface pressure, 10 m u wind speed, 10 m v wind speed, and cloud water content. The time range of the composed atmospheric parameter set is from May to August 2019, the geographical range is (25°N-45°N, 160°E-220°E), the data resolution is 0.5°×0.5°, and the profile The pressure stratification of the line data is a 37-layer grid stratification from the ground (1000 hPa) to the upper air (1 hPa). Choose to use the MWHTS observation brightness temperature carried on Fengyun-3D star to match with the atmospheric parameter set. The matching rule is that the time error is less than 10 minutes, and the longitude and latitude error is less than 0.1°. Finally, the quality...

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Abstract

The invention discloses a method for testing sensitivity of MWHTS to sea surface air pressure based on a neural network, and belongs to the technical field of microwave remote sensing. The method comprises the steps of establishing a matching data set of MWHTS observation brightness temperature and an atmospheric parameter set in space and time; by respectively taking the atmospheric parameters in the matched data set and the MWHTS observation brightness temperature as input and output of the neural network, training the neural network, and establishing a simulated brightness temperature calculation model based on the neural network; by taking the cloud water content as a reference value, selecting a set of clear sky atmosphere parameters, a set of cloud atmosphere parameters and a set of rain atmosphere parameters in the matched data set, and respectively constructing a clear sky test data set, a cloud test data set and a rain test data set; respectively inputting the clear sky test data set, the cloud test data set and the rain test data set into the simulated brightness temperature calculation model based on the neural network to obtain change relations of clear sky simulated brightness temperature, cloud simulated brightness temperature and rain simulated brightness temperature along with sea surface air pressure.

Description

technical field [0001] The invention relates to the technical field of microwave remote sensing, in particular to a method for testing the sensitivity of MWHTS to sea surface air pressure based on a neural network. Background technique [0002] Sea surface pressure is a basic parameter describing the state of the atmosphere and plays an important role in climate change research, numerical weather prediction, and extreme weather monitoring. Compared with traditional on-site direct measurement methods, the space-borne microwave radiometer can obtain high temporal and spatial resolution, high precision and continuous sea surface pressure data, and is an important source of sea surface pressure data in the field of atmospheric science. The temperature detection channel of the spaceborne microwave radiometer is set in the 60 GHz or 118.75 GHz frequency band, and the sea surface pressure is detected by measuring the total absorption of the vertical column of oxygen. At the same ti...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01W1/02G01W1/18
CPCG01W1/02G01W1/18Y02A90/10
Inventor 贺秋瑞张瑞玲张永新王岚高新科任桢琴周莉郭晓
Owner LUOYANG NORMAL UNIV
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