The Analysis of Humidity Profiles in a Month from MWHS Measurements

Author

He, Jieying ; Zhang, Shengwei

Author_Institution

Nat. Microwave Remote Sensing Lab., Chinese Acad. of Sci., Beijing, China

fYear

2010

fDate

29-31 Oct. 2010

Firstpage

1

Lastpage

3

Abstract

Back-propagation artificial neural networks (BP-ANN) have been used to retrieve humidity profiles using microwave humidity sounder (MWHS) measurements onboard FENGYUN-3A (FY-3A) satellite over Beijing region in real time. In the present study, an attempt has been made to inner-compare these profiles in the month of September of 2008. It has been found that in general the humidity profiles retrieved using BP-ANN are agreement with the RAOB profiles, the bias and root mean square difference is comparable with the retrieval models using in advanced microwave sounder unit (AMSU-B).

Keywords

atmospheric humidity; backpropagation; environmental science computing; humidity measurement; information retrieval; microwave measurement; neural nets; Beijing region; FENGYUN-3A satellite; MWHS measurement; back propagation artificial neural network; humidity profiles retrieval; microwave humidity sounder; root mean square difference; Artificial neural networks; Atmospheric measurements; Brightness temperature; Humidity; Microwave measurements; Neurons; Temperature measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Technology (ICMT), 2010 International Conference on

Conference_Location

Ningbo

Print_ISBN

978-1-4244-7871-2

Type

conf

DOI

10.1109/ICMULT.2010.5631326

Filename

5631326