2018
DOI: 10.1175/mwr-d-17-0378.1
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Size-Resolved Evaluation of Simulated Deep Tropical Convection

Abstract: Deep moist convection is an inherently multiscale phenomenon with organization processes coupling convective elements to larger-scale structures. A realistic representation of the tropical dynamics demands a simulation framework that is capable of representing physical processes across a wide range of scales. Therefore, storm-resolving numerical simulations at 2.4 km have been performed covering the tropical Atlantic and neighboring parts for 2 months. The simulated cloud fields are combined with infrared geos… Show more

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Cited by 37 publications
(56 citation statements)
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“…; Senf et al . ; White et al . ): underestimation of rainfall, overestimation of cold cloud coverage and a too large number of small cloud tops and precipitation cores.…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…; Senf et al . ; White et al . ): underestimation of rainfall, overestimation of cold cloud coverage and a too large number of small cloud tops and precipitation cores.…”
Section: Discussionmentioning
confidence: 99%
“…More details are provided in Senf et al . (), including a list of parameters also chosen for the current study. For the reflectivity fields, the approach is slightly modified.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Our segmentation procedure follows Senf et al . (), but is applied to precipitation and not to brightness temperature. The segmentation procedure is summarized below and illustrated for four distinct convective situations in Figure .…”
Section: Simulation and Object‐based Analysismentioning
confidence: 99%
“…The model top was at 30 km, and 75 vertical levels were used. More details on the simulation setup and an evaluation of some aspects of the simulations can be found in [12,31]. An evaluation of bulk atmospheric quantities, which were represented surprisingly well in ICON-HiRes despite being an untuned model version, as well as specific aspects like the diurnal cycle are given in [16].…”
Section: Simulations and Observationsmentioning
confidence: 99%