Observed and Simulated Variability of Droplet Spectral Dispersion in Convective Clouds Over the Amazon

Pardo, Lianet Hernández; Machado, Luiz A. T.; Morrison, Hugh; Cecchini, Micael Amore; Pöhlker, Christopher; Pöschl, Ulrich; Vendrasco, Éder Paulo; Voigt, Christiane; Wendisch, Manfred; Pöhlker, Mira L.

doi:10.1029/2021jd035076

Cited by 7 publications

(2 citation statements)

References 133 publications

(243 reference statements)

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“…There have been some studies that evaluated the hydrometeor size distributions simulated using bin microphysics schemes (Chen et al., 2023; Fridlind et al., 2017; Hernández Pardo et al., 2021; Iguchi, Matsui, et al., 2012; Khairoutdinov & Kogan, 1999; Morrison et al., 2022; Shpund et al., 2019; Witte et al., 2019). Khairoutdinov and Kogan (1999) and Witte et al.…”

Section: Introductionmentioning

confidence: 99%

“…There have been some studies that evaluated the hydrometeor size distributions simulated using bin microphysics schemes (Chen et al, 2023;Fridlind et al, 2017;Hernández Pardo et al, 2021;Iguchi, Matsui, et al, 2012;Khairoutdinov & Kogan, 1999;Morrison et al, 2022;Shpund et al, 2019;Witte et al, 2019). Khairoutdinov and Kogan (1999) and Witte et al (2019) evaluated the simulated cloud drop size distributions in marine stratocumulus in comparison with aircraft observations and both found prominent discrepancies at the cloud boundaries.…”

Section: Introductionmentioning

confidence: 99%

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Raindrop Size Distributions Simulated Using a Bin Microphysics Scheme: Different Biases in Stratiform and Convective Rain From an Extratropical Cyclone

Lee,

Baik,

Jin

2024

JGR Atmospheres

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Bin microphysics schemes prognose the raindrop size distribution (RSD), which can be directly evaluated through comparison with disdrometer observations. This evaluation will provide implications on the reliability of simulated cloud microphysics by bin microphysics schemes. In this study, the RSDs of a precipitation event associated with an extratropical cyclone passing South Korea are simulated using a bin microphysics scheme and compared with those observed by a ground‐based disdrometer. The simulated mean RSD overall agrees with the observation. However, notable overestimations appear in the large‐ (3.3–4.3 mm) and small‐ (0.56–1.88 mm) diameter ranges, which respectively stem from the biases in two different time periods, one dominated by stratiform rain and the other largely involved with convective rain. In the stratiform‐rain‐dominated period, the melting of snow is the largest contributor to RSDs. The overestimation in the large‐diameter range in this period can be associated with overly active ice–ice collection at upper levels, which generates a local maximum in RSD at the diameter of 3.3 mm that is not seen in the observed RSDs. In the convective‐rain‐involved period, the warm‐rain collision–coalescence is the largest contributor to RSDs. The overestimation in the small‐diameter range and underestimation in the large‐diameter range imply that the collisional growth of raindrops is represented to be weaker than that in reality. The findings in this study suggest that the RSDs simulated using a bin microphysics scheme can have some systematic biases associated with misrepresentation of some microphysical processes.

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