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The analysis uses 7\u00a0months of GNSS (Global Navigation Satellite Systems) observations in the Amazon Dense GNSS Network near Manaus, Brazil, in 2011\u20132012, to compute a time series of water vapor profiles, with a tomographic technique capable of producing quasi\u2010instantaneous inversions with minimal external data or constraints. Results compare very well with 12\u2010hourly in situ radiosondes, especially in the lower troposphere above 2\u00a0km, and its daily\u2010to\u2010seasonal variability compares well with WRF (Weather Research and Forecasting) convective\u2010permitting simulations driven by ERA5 boundary conditions, suggesting that GNSS tomography may be an important source of atmospheric water vapor data for different applications.<\/jats:p>","DOI":"10.1029\/2023gl105030","type":"journal-article","created":{"date-parts":[[2023,11,18]],"date-time":"2023-11-18T03:48:05Z","timestamp":1700279285000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Optimizing Boundary Conditions in GNSS Tomography: A Continuous 7\u2010Month Case Study in the Amazon"],"prefix":"10.1029","volume":"50","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4288-9456","authenticated-orcid":false,"given":"P. M. 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