{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,11,28]],"date-time":"2023-11-28T17:48:56Z","timestamp":1701193736887},"reference-count":45,"publisher":"Walter de Gruyter GmbH","issue":"1","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,23]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>The wet tropospheric correction (WTC) is a required correction to satellite altimetry measurements, mainly due to the atmospheric water vapor delay. On-board microwave radiometers (MWR) provide information for WTC estimation but fail in coastal zones and inland waters. In view to recover the WTC in these areas, the Global Navigation Satellite System (GNSS)-derived Path Delay Plus (GPD+) method, developed by the University of Porto, uses Zenith Tropospheric Delays from GNSS global and regional networks\u2019 stations combined with other sources of information, providing a WTC solution for all along-track altimeter points. To densify the existing dataset used by GPD+, it is necessary to add new GNSS stations, mainly in the southern hemisphere, in regions such as South America, Africa and Oceania. This work aims to exploit the SIRGAS-CON data and its potential for densification of the GPD+ input dataset in Latin America and to improve GPD+ performance. The results for the three analyzed satellites (Sentinel-3A, Sentinel-3B and CryoSat-2) show that, when compared with the WTC from GNSS and radiosondes, the densified GPD+ WTC leads to a reduction in the RMS of the WTC differences with respect to the non-densified GPD+ solution, up to 2\u2009mm for the whole region and up to 5\u2009mm in some locations.<\/jats:p>","DOI":"10.1515\/jogs-2022-0146","type":"journal-article","created":{"date-parts":[[2022,12,23]],"date-time":"2022-12-23T21:29:41Z","timestamp":1671830981000},"page":"211-229","source":"Crossref","is-referenced-by-count":1,"title":["Wet tropospheric correction for satellite altimetry using SIRGAS-CON products"],"prefix":"10.1515","volume":"12","author":[{"given":"Anderson","family":"Prado","sequence":"first","affiliation":[{"name":"DGAOT, Faculty of Sciences, University of Porto , Rua do Campo Alegre s\/n, 4169-007 Porto , Portugal"}]},{"given":"Telmo","family":"Vieira","sequence":"additional","affiliation":[{"name":"DGAOT, Faculty of Sciences, University of Porto , Rua do Campo Alegre s\/n, 4169-007 Porto , Portugal"},{"name":"Interdisciplinary Centre of Marine and Environmental Research (CIIMAR), Terminal de Cruzeiros do Porto de Leix\u00f5es , Av. General Norton de Matos s\/n 4450-208 , Matosinhos , Portugal"}]},{"given":"Nelson","family":"Pires","sequence":"additional","affiliation":[{"name":"DGAOT, Faculty of Sciences, University of Porto , Rua do Campo Alegre s\/n, 4169-007 Porto , Portugal"},{"name":"Interdisciplinary Centre of Marine and Environmental Research (CIIMAR), Terminal de Cruzeiros do Porto de Leix\u00f5es , Av. General Norton de Matos s\/n 4450-208 , Matosinhos , Portugal"}]},{"given":"Maria Joana","family":"Fernandes","sequence":"additional","affiliation":[{"name":"DGAOT, Faculty of Sciences, University of Porto , Rua do Campo Alegre s\/n, 4169-007 Porto , Portugal"},{"name":"Interdisciplinary Centre of Marine and Environmental Research (CIIMAR), Terminal de Cruzeiros do Porto de Leix\u00f5es , Av. General Norton de Matos s\/n 4450-208 , Matosinhos , Portugal"}]}],"member":"374","published-online":{"date-parts":[[2022,12,23]]},"reference":[{"key":"2023010906361431577_j_jogs-2022-0146_ref_001","doi-asserted-by":"crossref","unstructured":"Bevis, M., S. Businger, S. Chiswell, T. A. Herring, R. A. Anthes, C. Rocken, et al. 1994. \u201cGPS meteorology: Mapping zenith wet delays onto precipitable water.\u201d Journal of Applied Meteorology and Climatology 33(3), 379\u2013386. http:\/\/www.jstor.org\/stable\/26186685.","DOI":"10.1175\/1520-0450(1994)033<0379:GMMZWD>2.0.CO;2"},{"key":"2023010906361431577_j_jogs-2022-0146_ref_002","doi-asserted-by":"crossref","unstructured":"Bevis, M., S. Businger, T. A. Herring, C. Rocken, R. A. Anthes, and R. H. 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