Evidence for a modest undercount bias in early historical Atlantic tropical cyclone counts

Michael E. Mann; Thomas A. Sabbatelli; Urs Neu

doi:10.1029/2007GL031781

Evidence for a modest undercount bias in early historical Atlantic tropical cyclone counts

Michael E. Mann, Thomas A. Sabbatelli, Urs Neu

Meteorology and Atmospheric Science

Research output: Contribution to journal › Article › peer-review

61 Scopus citations

Abstract

We obtain new insights into the reliability of long-term historical Atlantic tropical cyclone ('TC') counts through the use of a statistical model that relates variations in annual Atlantic TC counts to climate state variables. We find that the existence of a substantial undercount bias in late 19th through mid 20th century TC counts is inconsistent with the statistical relationship between TC counts and climate.

Original language	English (US)
Article number	L22707
Journal	Geophysical Research Letters
Volume	34
Issue number	22
DOIs	https://doi.org/10.1029/2007GL031781
State	Published - Nov 28 2007

All Science Journal Classification (ASJC) codes

Geophysics
General Earth and Planetary Sciences

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10.1029/2007GL031781

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abstract = "We obtain new insights into the reliability of long-term historical Atlantic tropical cyclone ('TC') counts through the use of a statistical model that relates variations in annual Atlantic TC counts to climate state variables. We find that the existence of a substantial undercount bias in late 19th through mid 20th century TC counts is inconsistent with the statistical relationship between TC counts and climate.",

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AB - We obtain new insights into the reliability of long-term historical Atlantic tropical cyclone ('TC') counts through the use of a statistical model that relates variations in annual Atlantic TC counts to climate state variables. We find that the existence of a substantial undercount bias in late 19th through mid 20th century TC counts is inconsistent with the statistical relationship between TC counts and climate.

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Evidence for a modest undercount bias in early historical Atlantic tropical cyclone counts

Abstract

All Science Journal Classification (ASJC) codes

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