Title: Comparative analysis on detection performance with ground-based microwave radiometer and radiosonde

Authors: Lina Wang; Chaoyao Shen; Sheng Yuan; Yongjun Ren; Yong Wang; Jinyue Xia

Addresses: School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing 210044, China ' School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China ' School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China ' School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China ' WMO Regional Training Center Nanjing, Nanjing University of Information Science and Technology, Nanjing, 210044, China ' International Business Machines Corporation (IBM), New York, USA

Abstract: Ground-based microwave radiometer is a new type of automatic atmospheric detection device with high precision and multi-channel. In order to investigate the reliability of detection data, this article compares and analyses the meteorological elements retrieved from microwave radiometer (MWR) and observational data from radiosonde. The results show that temperature profile and water vapour density profile from MWR have better positive correlation with those from radiosonde. The temperature retrieved from MWR is lower than that from radiosonde in non-precipitation condition, but higher in precipitation condition. The bias may be related to sampling methods, MWR retrieval methods, precipitation and so on.

Keywords: comparative analysis; microwave radiometer; radiosonde; temperature; water vapour density; correlation.

DOI: 10.1504/IJES.2020.109975

International Journal of Embedded Systems, 2020 Vol.13 No.3, pp.341 - 351

Received: 01 Mar 2019
Accepted: 17 Sep 2019
Published online: 30 Sep 2020 *

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