{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T04:31:03Z","timestamp":1772253063092,"version":"3.50.1"},"reference-count":72,"publisher":"MDPI AG","issue":"22","license":[{"start":{"date-parts":[[2019,11,13]],"date-time":"2019-11-13T00:00:00Z","timestamp":1573603200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"CAS President\u2019s International Fellowship (PIFI)","award":["2018VEB0007"],"award-info":[{"award-number":["2018VEB0007"]}]},{"name":"National Natural Science Fund","award":["41730108"],"award-info":[{"award-number":["41730108"]}]},{"name":"National Key R&amp;D Program of China","award":["2016YFB0501503-3"],"award-info":[{"award-number":["2016YFB0501503-3"]}]},{"name":"Polish National Science Centre","award":["2015\/19\/B\/ST10\/02758"],"award-info":[{"award-number":["2015\/19\/B\/ST10\/02758"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>There is pressing demand for knowledge improvement of the integrated water vapor (IWV) distribution in regions affected by heat islands that are associated with extreme rainfall events such as in the metropolitan area of Rio de Janeiro (MARJ). This work assessed the suitability and evaluation of the spatiotemporal distribution of Global Navigation Satellite Systems (GNSS) IWV from the cooperation of the International GNSS Monitoring and Assessment System (iGMAS) and the National Observatory (Observat\u00f3rio Nacional, ON) of Brazil, from the Brazilian Network for Continuous Monitoring (RBMC), and IWV products from Moderate Resolution Imaging Spectroradiometer (MODIS) and radiosonde, jointly with surface meteorological data, in two sectors of the state of Rio de Janeiro from February 2015\u2013August 2018. High variability of the near surface air temperature (T) and relative humidity (RH) were observed among eight meteorological sites. The mean T differences between sites, up to 4.4 \u00b0C, led to mean differences as high as 3.1 K for weighted mean temperature (Tm) and hence 0.83 mm for IWV differences. Local grid points of MODIS IWV estimates had relatively good agreement with the GNSS-derived IWV, with mean differences from \u20132.4\u20131.1 mm for the daytime passages of the satellites TERRA and AQUA and underestimation from \u20139 mm to \u20133 mm during nighttime overpasses. A contrasting behavior was found in the radiosonde IWV estimates compared with the estimates from GNSS. There were dry biases of 1.4 mm (3.7% lower than expected) by radiosonde IWV during the daytime, considering that all other estimates were unbiased and the differences between IWVGNSS and IWVRADS were consistent. Based on the IWV comparisons between radiosonde and GNSS at nighttime, the atmosphere over the radiosonde site is about 1.2 mm and 2.3 mm wetter than that over the RBMC RIOD and iGMAS RDJN stations, respectively. The atmosphere over the site RIOD was 1.2 mm wetter than over that of RDJN for all three-hour means. These results showed that there were important variabilities in the meteorological conditions and in the distribution of water vapor in the MERJ. The data from the iGMAS RDJN station were feasible, together with those from the RBMC, MODIS, and radiosonde data, to investigate IWV in the region with occurrence of heat islands and peculiar physiographic and meteorological characteristics. This work recommends the magnification of the GNSS network in the state of Rio de Janeiro with the use of data from complete meteorological station collocated near every GNSS receiver, aiming to improve local IWV estimates and serving as additional support for operational numerical assimilation, weather forecast, and nowcast of extreme rainfall and flooding events.<\/jats:p>","DOI":"10.3390\/rs11222652","type":"journal-article","created":{"date-parts":[[2019,11,13]],"date-time":"2019-11-13T09:11:27Z","timestamp":1573636287000},"page":"2652","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Assessment of Integrated Water Vapor Estimates from the iGMAS and the Brazilian Network GNSS Ground-Based Receivers in Rio de Janeiro"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3387-679X","authenticated-orcid":false,"given":"Galdino V.","family":"Mota","sequence":"first","affiliation":[{"name":"Shanghai Astronomical Observatory (SHAO), Chinese Academy of Sciences (CAS), Shanghai 200030, China"},{"name":"Faculdade de Meteorologia, Instituto de Geoci\u00eancias, Universidade Federal do Par\u00e1, Bel\u00e9m 66093-671, PA, Brazil"}]},{"given":"Shuli","family":"Song","sequence":"additional","affiliation":[{"name":"Shanghai Astronomical Observatory (SHAO), Chinese Academy of Sciences (CAS), Shanghai 200030, China"}]},{"given":"Katarzyna","family":"St\u0119pniak","sequence":"additional","affiliation":[{"name":"Institute of Geodesy, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland"}]}],"member":"1968","published-online":{"date-parts":[[2019,11,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"15787","DOI":"10.1029\/92JD01517","article-title":"GPS meteorology: Remote sensing of atmospheric water vapor using the global positioning system","volume":"97","author":"Bevis","year":"1992","journal-title":"J. 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