Abstract

Abstract. Atmospheric water vapour has been acknowledged as an essential climate variable. Weather prediction and hazard assessment systems benefit from real-time observations, whereas long-term records contribute to climate studies. Nowadays, ground-based global navigation satellite system (GNSS) products have become widely employed, complementing satellite observations over the oceans. Although the past decade has seen a significant development of the GNSS infrastructure in Central and South America, its potential for atmospheric water vapour monitoring has not been fully exploited. With this in mind, we have performed a regional, 7-year-long and homogeneous analysis, comprising 136 GNSS tracking stations, obtaining high-rate and continuous observations of column-integrated water vapour and troposphere zenith total delay. As a preliminary application for this data set, we have estimated local water vapour trends, their significance, and their relation with specific climate regimes. We have found evidence of drying at temperate regions in South America, at a rate of about 2 % per decade, while a slow moistening of the troposphere over tropical regions is also weakly suggested by our results. Furthermore, we have assessed the regional performance of the empirical model GPT2w to blindly estimate troposphere delays. The model reproduces the observed mean delays fairly well, including their annual and semi-annual variations. Nevertheless, a long-term evaluation has shown systematical biases, up to 20 mm, probably inherited from the underlying atmospheric reanalysis. Additionally, the complete data set has been made openly available as supplementary material.

Highlights

  • Atmospheric water vapour plays a dominant role in the radiative balance and the hydrological cycle (Turco, 1992)

  • The observations were processed with the Bernese global navigation satellite system (GNSS) Software version 5.2 (Dach et al, 2015), at a doubledifference level, and models recommended by the International Earth Rotation and Reference Systems Service (IERS) were used (Petit and Luzum, 2010)

  • Troposphere zenith total delays (ZTDs) were modelled as 30 min linear piecewise estimates, applying the wet term of the Vienna Mapping Function 1 (VMF1; Böhm et al, 2006b), together with daily gradients according to Chen and Herring (1997)

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Summary

Introduction

Atmospheric water vapour plays a dominant role in the radiative balance and the hydrological cycle (Turco, 1992). Previous regional analysis of GNSS-derived water vapour in South America had narrow spatial and temporal coverage, employed GPS-only observations, and were focused on the validation of the methodology by comparison against radiosondes measurements (Sapucci et al, 2007), or radiosondes and satellite-based observations (Fernández et al, 2010) Another regional inter-technique comparison was performed by Calori et al (2015), using GPS-only observations, comprising about 30 sites, and spanning 2 years. Given the spatial distribution of the GNSS sites and the sampling rate and continuity of the estimated water vapour time series, these data could be employed in other multiple research areas – for example, the assessment of global NWMs, the analysis of daily and sub-daily water vapour variability, the calibration of satellite-based radiometer (on land) measurements, or studies of mesoscale convective systems

GNSS observations
GNSS data analysis
Comparison between ZTD time series
Comparison with modelled troposphere delays
Computation of IWV time series
Analysis of the IWV estimates
GNSS processing evaluation
Troposphere model assessment
IWV retrieval and analysis
Conclusions
Outlier detection in pressure time series
Pressures from IGS data set
Pressures from NOAA data set
Pressures from UW data set
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