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W. G. Blumberg, T. J. Wagner, D. D. Turner, and J. Correia Jr.

the mid-1990s using a retrieval algorithm called AERIprof ( Smith et al. 1999 ; Feltz et al. 1998 ). AERIprof has several limitations: 1) the carbon dioxide concentration was fixed and not easily changed, 2) the fast radiative transfer model used within AERIprof was tuned for Southern Great Plains (SGP) conditions and hence had significant errors when used in the tropics or Arctic, 3) uncertainty estimates are not provided by this algorithm, and 4) the algorithm was very sensitive to its first

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Matthew D. Parker, Brett S. Borchardt, Rachel L. Miller, and Conrad L. Ziegler

stronger and deeper lifting of the low-level inflowing air (akin to the “convective memory” described for the tropics by Colin et al. 2019 ). In short, the self-organizing process is particular to the history of the MCS itself. The same basic evolution also occurs in the WRF simulation (not shown, as computations of cold pool origins and depth become rather convoluted in temporally and spatially varying environments). Notwithstanding its limitations, the CM1 simulation successfully self-organizes a

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