2020
DOI: 10.1029/2019jd031801
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Assessing Convective Organization in Tropical Radar Observations

Abstract: The spatial organization of deep moist convection is known to be an important determinant of the impacts of severe weather, while future changes to convective organization have been linked to various radiative feedbacks under climate warming. Yet there is no unanimously agreed upon definition of convective organization and so there is also no obvious way to objectively define it. In this work, we set out to define a metric for convective organization based on the size and proximity of convectively active regio… Show more

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Cited by 17 publications
(33 citation statements)
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“…We quantify the convective state of the atmosphere in two ways. We use the total area that is experiencing convection, or TCA, as a measure of the overall convective activity within the radar domain, and ROME (Retsch et al., 2020) to quantify convective organisation. It has long been known that the TCA relates very strongly to area average convective rainfall (e.g., Byers & Union, 1948; Davies et al., 2013; Doneaud et al., 1984).…”
Section: The Data Setsmentioning
confidence: 99%
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“…We quantify the convective state of the atmosphere in two ways. We use the total area that is experiencing convection, or TCA, as a measure of the overall convective activity within the radar domain, and ROME (Retsch et al., 2020) to quantify convective organisation. It has long been known that the TCA relates very strongly to area average convective rainfall (e.g., Byers & Union, 1948; Davies et al., 2013; Doneaud et al., 1984).…”
Section: The Data Setsmentioning
confidence: 99%
“…The details of ROME are provided in Retsch et al. (2020), but we will briefly summarize the main idea here.…”
Section: The Data Setsmentioning
confidence: 99%
See 1 more Smart Citation
“…Quantifying organization is not straightforward (see, e.g., Figure 1 in Brueck et al, 2020), as evidenced by the various organization indices that have been proposed recently (Brune et al, 2018; Kadoya & Masunaga, 2018; Retsch et al, 2020; Tobin et al, 2012; Tompkins & Semie, 2017; White et al, 2018). Different indices emphasize distinct aspects of organization and do not necessarily agree (Pscheidt et al, 2019; Xu et al, 2019).…”
Section: Methodsmentioning
confidence: 99%
“…Radar data studies use similar measures and metrics (e.g. Retsch et al 2020). Such conglomeration measures are quite nonunique or arbitrary (Xu et al 2019).…”
Section: Rectification Of Nonlinearities With Conglomerationmentioning
confidence: 99%