Paper Title:
The Analysis of Atmospheric Water Vapor Based on Ground-Based Microwave Radiometer
  Abstract

The paper introduces a widely used atmospheric absorption models: MPM by Liebe in 1989. Using this absorption model, the paper simulates the temperature and humidity weighting functions and brightness temperature according to the different frequencies and bandwidth of the multi-channel ground-based microwave radiometer. The results show that simulated brightness temperatures are very well agreement with the observation values with an acceptable root mean square error. This paper uses widely used retrieval method of artificial neural network to obtain the water vapor density profiles and calculates the root mean square error of each dataset. Also, to improve the accuracy of retrievals, this paper adopts multi-layers neural network which has two hidden layers. The results show that the retrievals of water vapor density profiles based on ground-based microwave radiometer are agreement with the water vapor density profile which is observed by radiosonde. Grant Nos. GYHY200906035 China Meteorological Administration nonprofit sector (meteorology) special research

  Info
Periodical
Chapter
Chapter 2: Microwaves Optics and Image
Edited by
David Wang
Pages
335-340
DOI
10.4028/www.scientific.net/KEM.500.335
Citation
J. Y. He, F. L. Sun, S. W. Zhang, Y. Zhang, "The Analysis of Atmospheric Water Vapor Based on Ground-Based Microwave Radiometer", Key Engineering Materials, Vol. 500, pp. 335-340, 2012
Online since
January 2012
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Price
$32.00
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