Analysis of Spatial Decorrelation of Small-Scale Tropospheric Delay Using High-Resolution NWP Data-Reference-Cited by-同舟云学术

Analysis of Spatial Decorrelation of Small-Scale Tropospheric Delay Using High-Resolution NWP Data

Published:2023-01-21 Issue:3 Volume:23 Page:1237
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Håkegård Jan Erik¹^ORCID,Sokolova Nadezda¹,Morrison Aiden¹

Affiliation:

1. SINTEF Digital, Strindveien 4, 7032 Trondheim, Norway

Abstract

This paper contains results from a study where numerical weather product (NWP) data provided by MET Norway were used to estimate the differential zenith tropospheric delay (dZTD) for an area including Scandinavia, Finland and the Baltic countries. The NWP data have a high spatial resolution of 2.5×2.5 km, and the estimated dZTD for the grid positions allows for calculation of the tropospheric gradient on short baselines. The results give an indication of how large dZTD values for baselines of up to 20 km can be, and of where the largest events are located within the coverage area. One year of data were processed, and dZTD values up to 18 cm with baselines were detected. Preliminary results comparing the NWP-based results with GNSS-based results are included. The motivation for this investigation was to better understand the characteristics of this phenomenon as a preamble to a later investigation of how it might impact GNSS-based navigation systems with integrity support in these regions.

Funder

Norwegian Council of Research

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

https://www.mdpi.com/1424-8220/23/3/1237/pdf

Reference17 articles.

1. Contributions to the theory of atmospheric refraction;Saastamoinen;Bull. Geod.,1972

2. Dousa, J., Elias, M., Veerman, H., van Leeuwen, S.S., Zelle, H., de Haan, S., Martellucci, A., and Perez, R.O. (2015, January 14–18). High Accuracy Tropospheric Delay Determination Based on Improved Modelling and High Resolution Numerical Weather Model. Proceedings of the 28th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 2015), Tampa, FL, USA.

3. Khanafseh, S., Engeln, A., Pervan, B., and Technology, I. (2016, January 12–16). Tropospheric Duct Anomaly Threat Model for High Integrity and High Accuracy Navigation. Proceedings of the 29th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 2016), Portland, OR, USA.

4. Characterization of Tropospheric Spatial Decorrelation Errors Over a 5-km Baseline;Huang;Navig. J. Inst. Navig.,2008

5. Schüttpelz, A., Beck, F., Saito, S., Weed, D., and Johnson, B. (2015, January 17–20). Characterisation of the tropospheric gradient effects affecting the ionospheric monitoring. Proceedings of the WP/20, ICAO NSP CSG, Okinawa, Japan.