A composite-based analysis of the dynamical linkage of Atmospheric Rivers, Warm Conveyor Belts, and Extratropical Cyclones
Abstract. Extratropical cyclones (ETCs), warm conveyor belts (WCBs), and atmospheric rivers (ARs) are dynamically connected features key to understand midlatitude weather and hydroclimate. However, the precise spatial and temporal coupling between the moisture transport in ARs and the ascent in ETC’s associated WCBs remains poorly understood. Therefore, this study employs a composite-based analysis, combining probabilistic footprints of WCB identification and Eulerian AR detection for the North Atlantic extended winter (October–March) using ERA5 reanalysis. We evaluate composite fields relative to AR centroids, differentiating between events where the WCB ascent phase is present within the AR plume from those where it is absent. Our results demonstrate that ARs linked to WCBs are characterized by stronger integrated vapor transport, a wider AR plume, and, most critically, a shift of precipitation maxima northeast of the AR axis, aligning with the region of strongest frontal ascent near the associated ETC. In contrast, AR-only events exhibit weaker IVT values and a diffuse precipitation to the northeast towards the cyclone. Finally, temporal composites centered on the ETC's maximum deepening point (MDP) reveal a phased evolution: while peak WCB-inflow precedes the MDP, peak WCB-ascent and AR-related precipitation coincide with the MDP, and peak WCB-outflow follows, illustrating a tightly coupled feedback loop.
Summary:
This study explores the dynamical linkage between extratropical cyclones (ETCs), warm conveyor belts (WCBs), and atmospheric rivers (ARs) through climatological and composite-based analyses. The authors found that ARs linked to ETCs that overlap with the WCB ascent phase exhibit stronger IVT signals and stronger, more widespread and intense precipitation than ARs not associated with ETC WCBs. They also found that an ARs most intense impacts coincide with an ETC’s maximum deepening point. These results hold significant implications for how forecast models handle prediction of the timing and location of AR-related precipitation extremes. Overall, the manuscript is generally well written and structured, save for a series of grammatical/abbreviation usage issues that require attention. Additionally, though the series of methodologies utilized are extensively described, there are instances where some components appear to be missing and additional descriptions are required. Save for the need for minor clarifications of a few points, the author’s assertions are well supported by the figures and text. In the opinion of this reviewer, this study adds to the existing body of scientific work in a tangible way, fits within the scope of the journal, and is worthy of publication with the addressing of the significant revisions/comments outlined below.
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