Estimating Annual Numbers of Atlantic Hurricanes Missing from the HURDAT Database (1878–1965) Using Ship Track Density

Gabriel A. Vecchi, Thomas R. Knutson

Journal of Climate · 2010 · 178 citations · 47 references

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TL;DR

The study evaluates how imperfect pre‑satellite sampling (1878–1965) biases North Atlantic hurricane activity metrics and their long‑term trends. Accounting for missed hurricanes before 1965 requires a substantial upward adjustment, which shifts the long‑term trend from significantly positive to essentially flat or slightly negative, shows the adjusted counts correlate more with the SST difference between the main development region and tropical mean than with MDR SST alone, and provides no evidence that anthropogenic warming has increased Atlantic hurricane frequency.

Abstract

Abstract This study assesses the impact of imperfect sampling in the presatellite era (between 1878 and 1965) on North Atlantic hurricane activity measures and on the long-term trends in those measures. The results indicate that a substantial upward adjustment of hurricane counts may be needed prior to 1965 to account for likely “missed” hurricanes due to sparse density of reporting ship traffic. After adjusting for the estimate of missed hurricanes in the basin, the long-term (1878–2008) trend in hurricane counts changes from significantly positive to no significant change (with a nominally negative trend). The adjusted hurricane count record is more strongly connected to the difference between main development region (MDR) sea surface temperature (SST) and tropical-mean SST than with MDR SST. These results do not support the hypothesis that the warming of the tropical North Atlantic due to anthropogenic greenhouse gas emissions has caused Atlantic hurricane frequency to increase.

References

47