Abstract

Water vapor is one of the most important greenhouse gases in the world. There are many techniques that can measure water vapor directly or remotely. In this work, we first study the Global Positioning System (GPS)- and the Global Navigation Satellite System (GLONASS)-derived Zenith Wet Delay (ZWD) time series based on 11 years of the second reprocessing campaign of International Global Navigation Satellite Systems (GNSS) Service (IGS) using 320 globally distributed stations. The amount of measurement, the local environment, and the antenna radome are shown to be the main factors that affect the GNSS ZWDs and the corresponding a posteriori formal errors. Furthermore, antenna radome is able to effectively reduce the systematic bias of ZWDs and a posteriori formal errors between the GPS- and GLONASS-based solutions. With the development of the GLONASS, the ZWD differences between the GPS- and the GLONASS-based solutions have gradually decreased to sub-mm-level after GLONASS was fully operated. As the GPS-based Precipitable Water Vapor (PWV) is usually used as the reference to evaluate the other PWV products, the PWV consistency among several common techniques is evaluated, including GNSSs, spaceborne sensors, and numerical products from the European Center for Medium-Range Weather Forecasts (ECMWF). As an example of the results from a detailed comparison analysis, the long-term global analysis shows that the PWV obtained from the GNSS and the ECMWF have great intra-agreements. Based on the global distribution of the magnitude of the PWV and the PWV drift, most of the techniques showed superior agreement and proved their ability to do climate research. With a detailed study performed for the ZWDs and PWV on a long-term global scale, this contribution provides a useful supplement for future research on the GNSS ZWD and PWV.

Highlights

  • The systematic bias is studied for the Global Navigation Satellite Systems (GNSS)-based Zenith Wet Delay (ZWD)

  • Since the Precipitable Water Vapor (PWV) retrieved from the Global Positioning System (GPS)-based ZWD is usually used as the reference to evaluate the PWV products from other techniques and there is seldom a need to study the accuracy of GNSS-based PWV

  • We focus on the consistency of PWV among different techniques, including PWV retrieved from GNSS-based ZWD

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Summary

Introduction

Studies have compared the ZWD or PWV produced using GPS and other techniques [23,24,25,26,27,28,29] such as radiosonde, numerical weather models, and satellite sensor products [8,30,31,32,33] such as AIRS and MODIS. Most of these works are focused on local regions with a limited period from a few months to 2~3 years. It is followed by the assessment of the intraconsistency among the PWVs obtained with the GPS and the GLONASS, the MODIS Aqua and the MODIS Terra, the ERA5 and the ERA-Interim products; and the assessment of the interconsistency between PWVs obtained with the ERA5 products and the GPS, the MODIS Aqua, and the AIRS

Multi-Technique and GNSS Data
GNSS PWV Retrieval Algorithm
The Time Series
The Global Distribution
The Hardware Equipment—Antenna Radome
Evaluation of Consistency among Different Techniques
Intraconsistency Evaluation
Interconsistency Evaluation
The Global Distribution of PWV and the PWV Drift
Summary
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