OF THE
TIMES
The short story is that a professor from Ohio State found an error in a paper on Antarctic temperature trends in Nature. He published his analysis of the error on the blog Climate Audit and sent a gracious note to the authors letting them know of his discovery.
What did the authors do? They turned around and submitted the correction to Nature as their own work, and then had it published under their own names without so much as an acknowledgment to the Ohio State professor who actually did the work and made the discovery of the error.
Of course, estimation of undercount based on the assumption of a fixed relationship between total TC counts and the number of landfalling storms is perilous. Such an approach assumes, in particular, that the large-scale atmospheric steering which determines the trajectories of TCs once they've formed is constant, when there is in fact strong evidence that it is highly variable over time . . .Now Mann and another set of colleagues (PDF) make what appears to be the exact opposite assumption in a paper just out in Nature, that landfalls are "in rough proportion" to overall basin activity:
We compared the sediment-based record against the above statistical estimate of basin-wide tropical cyclone activity (Fig. 3), guided by a working assumption that an appropriately weighted composite of regional landfalling hurricane activity varies, at multidecadal and longer timescales, in rough proportion to basin-wide tropical cyclone activity.
An independent estimate of past tropical cyclone activity was obtained using a statistical model for Atlantic tropical cyclone counts. This previously developed and validated 3,16 statistical model conditions annual Atlantic tropical cyclone counts on three key large-scale climate state variables tied to historical variations in Atlantic tropical cyclone counts: (1) the SST over the main development region (MDR) for tropical Atlantic tropical cyclones, which reflects the favourability of the local thermodynamic environment; (2) the El Nino/Southern Oscillation (ENSO), which influences theamount of (unfavourable) vertical wind shear; and (3) the North Atlantic Oscillation (NAO), which affects the tracking of storms, determining how favourable an environment they encounter. The statistical model was driven by proxy-based reconstructions17,18 of these three state variables (Fig. 2), yielding a predicted history of Atlantic tropical cyclone counts for past centuries.