Channel Selection, Data Simulation, and Parameter Inversion of Ground-Based Hyperspectral Microwave Radiometer
Joint Authors
Wang, Rui
Wang, Yuxun
Yan, Wei
Lu, Wen
Ma, Shuo
Zhao, Xianbin
Gu, Chengming
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-06-25
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
To make up for the deficiency in the accuracy of temperature profile observation of existing ground-based microwave radiometers, the application of hyperspectral techniques to the microwave band was attempted.
To develop a ground-based hyperspectral microwave radiometer, we must first select the detection channel.
According to the degrees of signal freedom (DFS) based on information content of atmospheric temperature, the current study selected 200 channels containing 80% of the information to be selected from 343 candidate channels with oxygen absorption bands of 50~70 GHz, 110~130 GHz, and 415~435 GHz.
At the same time, a sensitivity analysis was performed on DFS, in which the variation of background field errors had less influence on the channel selection, but the variation of observation errors significantly affected the information content of the channel.
In 2015, the BP neural network method was used to simulate the atmospheric temperature profile environment in Kunming and compare it with seven temperature detection channels selected from the currently used microwave radiometer RPG~HATPR0~G3.
The inversion results indicate the following: (1) Selecting the channel with 80% information content does not reduce the inversion accuracy of the temperature profile.
(2) The 200 channels selected are relative to the 7 channels of RPG~HATPR0~G3.
The accuracy of inversion is increased by 0.5 K at the height of 0~8 km and increased by 0.5~1.2 K in the range of 8~10 km.
American Psychological Association (APA)
Wang, Rui& Wang, Yuxun& Yan, Wei& Lu, Wen& Ma, Shuo& Zhao, Xianbin…[et al.]. 2019. Channel Selection, Data Simulation, and Parameter Inversion of Ground-Based Hyperspectral Microwave Radiometer. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1195788
Modern Language Association (MLA)
Wang, Rui…[et al.]. Channel Selection, Data Simulation, and Parameter Inversion of Ground-Based Hyperspectral Microwave Radiometer. Mathematical Problems in Engineering No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1195788
American Medical Association (AMA)
Wang, Rui& Wang, Yuxun& Yan, Wei& Lu, Wen& Ma, Shuo& Zhao, Xianbin…[et al.]. Channel Selection, Data Simulation, and Parameter Inversion of Ground-Based Hyperspectral Microwave Radiometer. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1195788
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1195788