{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T09:38:26Z","timestamp":1769852306959,"version":"3.49.0"},"reference-count":102,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T00:00:00Z","timestamp":1769731200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Atmosphere"],"abstract":"<jats:p>A key component necessary to improve the performance of climate and weather forecasting models is understanding the physical mechanisms controlling tropical deep convection. In this study, the thermodynamic variables linked to deep convection within this equatorial sea-breeze convective regime are analyzed. A range of data sets are employed: GNSS-based PWV and surface precipitation data, lightning and daily radiosonde observations, and GOES-13\/16 and GPM satellite products. Our results indicate that the convective indices of CAPE and CIN, often used as predictors of deep convection, do not clearly distinguish deep-convective and non-convective days. In contrast, the variables representative of the atmospheric water vapor content, PWV and vertical water vapor distribution as well as an entrainment-based buoyancy measure, are better markers of potential deep convection. For this region, however, the water vapor\/deep convection relationship with precipitation does not appear as strong as over tropical oceans and tropical continental regions. Finally, our results show that there is no strong link between daily average precipitation intensity and daily lightning count. However, deep-convective days without lightning had higher water vapor at the beginning of the day, as compared to days with lightning, which resulted in convective showers earlier in the day.<\/jats:p>","DOI":"10.3390\/atmos17020153","type":"journal-article","created":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T17:38:34Z","timestamp":1769794714000},"page":"153","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Relationship Between Deep Convection, Water Vapor, Lightning, and Precipitation over Northern Coastal Brazil"],"prefix":"10.3390","volume":"17","author":[{"given":"Diana","family":"Islas-Flores","sequence":"first","affiliation":[{"name":"Instituto de Ciencias de la Atm\u00f3sfera y Cambio Clim\u00e1tico, Universidad Nacional Aut\u00f3noma de M\u00e9xico, Mexico City 04510, Mexico"}]},{"given":"David K.","family":"Adams","sequence":"additional","affiliation":[{"name":"Instituto de Ciencias de la Atm\u00f3sfera y Cambio Clim\u00e1tico, Universidad Nacional Aut\u00f3noma de M\u00e9xico, Mexico City 04510, Mexico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0584-511X","authenticated-orcid":false,"given":"Ludmila","family":"Monteiro da Silva Dutra","sequence":"additional","affiliation":[{"name":"Faculdade de Meteorologia, Instituto de Geoci\u00eancias, Universidade Federal do Par\u00e1, Belem 66075-110, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3387-679X","authenticated-orcid":false,"given":"Galdino Viana","family":"Mota","sequence":"additional","affiliation":[{"name":"Faculdade de Meteorologia, Instituto de Geoci\u00eancias, Universidade Federal do Par\u00e1, Belem 66075-110, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9733-284X","authenticated-orcid":false,"given":"Rui M. S.","family":"Fernandes","sequence":"additional","affiliation":[{"name":"Instituto Dom Luiz, Universidade da Beira Interior, R. Marques d\u2019Avila e Bolama, s\/n, 6201-001 Covilha, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2026,1,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1038\/ngeo2398","article-title":"Clouds, circulation and climate sensitivity","volume":"8","author":"Bony","year":"2015","journal-title":"Nat. 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