Bianchi, Clara; Mendoza, Luciano Pedro Oscar; Fernández, Laura; Natali, María Paula; Meza, Amalia; Moirano, Juan (2016): Time series of atmospheric water vapour and troposphere zenith total delay, over Central and South America, from a homogeneous GNSS reprocessing (MAGGIA ZTD & IWV Solution 1) [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.858234, Supplement to: Bianchi, C et al. (2016): Multi-year GNSS monitoring of atmospheric IWV over Central and South America for climate studies. Annales Geophysicae, 34(7), 623-639, https://doi.org/10.5194/angeo-34-623-2016
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Published: 2016-02-21 • DOI registered: 2016-02-25
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.
Further details:
Coverage:
Median Latitude: -11.492245 * Median Longitude: -62.193073 * South-bound Latitude: -71.673796 * West-bound Longitude: -116.889252 * North-bound Latitude: 35.425156 * East-bound Longitude: -2.841783
Date/Time Start: 2007-01-01T00:00:00 * Date/Time End: 2013-12-31T00:00:00
License:
Creative Commons Attribution-NonCommercial 3.0 Unported (CC-BY-NC-3.0)
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112 datasets
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Datasets listed in this publication series
- Bianchi, C; Mendoza, LPO; Fernández, L et al. (2016): Time series of atmospheric water vapour at station UCNF_S1. https://doi.org/10.1594/PANGAEA.858439
- Bianchi, C; Mendoza, LPO; Fernández, L et al. (2016): Time series of atmospheric water vapour at station UCOM_S1. https://doi.org/10.1594/PANGAEA.858440
- Bianchi, C; Mendoza, LPO; Fernández, L et al. (2016): Time series of atmospheric water vapour at station UCOR_S1. https://doi.org/10.1594/PANGAEA.858441
- Bianchi, C; Mendoza, LPO; Fernández, L et al. (2016): Time series of atmospheric water vapour at station UFPR_S1. https://doi.org/10.1594/PANGAEA.858442
- Bianchi, C; Mendoza, LPO; Fernández, L et al. (2016): Time series of atmospheric water vapour at station UNRO_S1. https://doi.org/10.1594/PANGAEA.858443
- Bianchi, C; Mendoza, LPO; Fernández, L et al. (2016): Time series of atmospheric water vapour at station UNSA_S1. https://doi.org/10.1594/PANGAEA.858444
- Bianchi, C; Mendoza, LPO; Fernández, L et al. (2016): Time series of atmospheric water vapour at station UTAR_S1. https://doi.org/10.1594/PANGAEA.858445
- Bianchi, C; Mendoza, LPO; Fernández, L et al. (2016): Time series of atmospheric water vapour at station VALN_S1. https://doi.org/10.1594/PANGAEA.858446
- Bianchi, C; Mendoza, LPO; Fernández, L et al. (2016): Time series of atmospheric water vapour at station VALP_S1. https://doi.org/10.1594/PANGAEA.858447
- Bianchi, C; Mendoza, LPO; Fernández, L et al. (2016): Time series of atmospheric water vapour at station VESL_S1. https://doi.org/10.1594/PANGAEA.858448
- Bianchi, C; Mendoza, LPO; Fernández, L et al. (2016): Time series of atmospheric water vapour at station VITH_S1. https://doi.org/10.1594/PANGAEA.858449
- Bianchi, C; Mendoza, LPO; Fernández, L et al. (2016): Time series of atmospheric water vapour at station VOIL_S1. https://doi.org/10.1594/PANGAEA.858450
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