2012
DOI: 10.1175/jcli-d-11-00420.1
|View full text |Cite
|
Sign up to set email alerts
|

On the Classification of Extreme Atlantic Hurricanes Utilizing Mid-Twentieth-Century Monitoring Capabilities*

Abstract: Routine military aircraft reconnaissance of tropical cyclones in the Atlantic Basin began in 1944.According to the preliminary reanalysis of the 1944-1953 Atlantic hurricane seasons (Hagen et al. 2012), the tropical cyclones of that decade that were sampled one or more times by aircraft reconnaissance are listed below according to revised storm number. Most of the new tropical cyclones and all of the cyclones that stayed completely in the eastern half of the basin were not sampled, and some cyclones in the w… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
21
0

Year Published

2013
2013
2022
2022

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 27 publications
(22 citation statements)
references
References 18 publications
(10 reference statements)
1
21
0
Order By: Relevance
“…These data were, and are, generally collected in an operational forecasting setting and represent the best technology and analysis protocols of the time (e.g., Hagen et al 2012). Because the technology and analysis protocols have progressively changed over time, the data naturally contain temporal heterogeneities.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…These data were, and are, generally collected in an operational forecasting setting and represent the best technology and analysis protocols of the time (e.g., Hagen et al 2012). Because the technology and analysis protocols have progressively changed over time, the data naturally contain temporal heterogeneities.…”
Section: Introductionmentioning
confidence: 99%
“…As with frequency, estimates of tropical cyclone intensity in the best track are also heterogeneous Hagen and Landsea 2012). For example, regular in situ intensity measurements from aircraft reconnaissance into tropical cyclones began around 1948 but were terminated in the western North Pacific in 1987, which introduced a discontinuity into intensity data in the regional best track (Martin and Gray 1993).…”
Section: Introductionmentioning
confidence: 99%
“…Several analyses (Hagen & Landsea, ; Vecchi & Knutson, ; Villarini et al, ) point out that yearly numbers of hurricanes in the early observational period are affected by significant underestimation, chiefly due to the likely underdetection of hurricanes in the presatellite area. Vecchi and Knutson () defined upward adjustments to be applied to the total number of hurricanes observed prior to 1960, which are widely accepted and used in hurricane trend studies (e.g., see Villarini et al, ).…”
Section: Resultsmentioning
confidence: 99%
“…The reduced sensitivity of monitoring approaches in the presatellite era lead to a well‐known and studied underreporting of the number of hurricanes in the early observational period. The number of undetected hurricanes before the advent of remote sensing has been quantified, and the implications of these heterogeneities in the HURDAT2 data set have been extensively studied (Chang & Guo, ; Hagen & Landsea, ; Vecchi & Knutson, ; Villarini et al, ; Villarini et al, ). Corrections to hurricane undercount (Vecchi & Knutson, ) are also used here, to compare extremes estimated from corrected and uncorrected LMI time series.…”
Section: Methodsmentioning
confidence: 99%
“…Others agree that tropical cyclone frequencies are likely underestimated due to missing storms, and that the lack of traffic outside shipping lanes causes many non-landfalling tropical cyclones to be missed [2]. Corroborating those findings, studies note that HURDAT in the pre-satellite era is likely to have missed some category 4 and 5 tropical cyclones due to limited surface observations [4]. In analyzing the “best track” data via a survey of hurricane specialists charged with updating the database, a new format (HURDAT2; version 2) is designed to reduce uncertainties in wind radii and intensities (http://www.aoml.noaa.gov/hrd/hurdat/Data_Storm.html) [5].…”
Section: Introductionmentioning
confidence: 99%