2018
DOI: 10.1029/2017jd028170
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Signatures of Heavy Precipitation on the Thermodynamics of Clouds Seen From Satellite: Changes Observed in Temperature Lapse Rates and Missed by Weather Analyses

Abstract: Analyses of the thermodynamics of precipitating clouds are mostly based on localized in situ campaigns or, more globally, weather analyses and reanalyses. This work presents a comparison of weather analyses to satellite observations and a radiometeorological method that shows how precipitating layers inside clouds coincide with weather analyses underestimates of the amount of water vapor. The thermodynamic information from inside precipitating clouds is extracted using observed radio occultation (RO) refractiv… Show more

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Cited by 3 publications
(2 citation statements)
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“…ROHP‐PAZ observables and retrieved products will then be publicly available. Furthermore, the ability of PRO to provide refractivity profiles inside the precipitating clouds remains, which makes it the only space‐based remote sensing technique able to sense precipitation within clouds and constraint, via refractivity profiles, the associated thermodynamic conditions (e.g., de la Torre Juárez et al, ). Therefore, ROHP‐PAZ GNSS PRO data could be of interest to investigate relationships between thermodynamic patterns and heavy precipitation structures, as no other satellite technique senses both aspects of intense rain phenomena.…”
Section: Discussionmentioning
confidence: 99%
“…ROHP‐PAZ observables and retrieved products will then be publicly available. Furthermore, the ability of PRO to provide refractivity profiles inside the precipitating clouds remains, which makes it the only space‐based remote sensing technique able to sense precipitation within clouds and constraint, via refractivity profiles, the associated thermodynamic conditions (e.g., de la Torre Juárez et al, ). Therefore, ROHP‐PAZ GNSS PRO data could be of interest to investigate relationships between thermodynamic patterns and heavy precipitation structures, as no other satellite technique senses both aspects of intense rain phenomena.…”
Section: Discussionmentioning
confidence: 99%
“…In order to simulate  along each ray, the associated range-derivative Kdp in (3) needs to be specified. A simplified approach is taken following Cardellach et al (2018). If a 5-km segment Mi was associated with Ti > 273K, the media was assumed to be liquid (rain) phase.…”
Section: B) Assessment Of Ice Hydrometeor Shape Assumptionmentioning
confidence: 99%