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Weather and Climate Extremes in a Changing Climate. Regions of ...

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to calibrate aga<strong>in</strong>st exist<strong>in</strong>g techniques, <strong>and</strong><br />

with poor documentation where such calibrations<br />

were done. Thus the available tropical<br />

cyclone data conta<strong>in</strong> an <strong>in</strong>homogeneous mix <strong>of</strong><br />

changes <strong>in</strong> quality <strong>of</strong> observ<strong>in</strong>g systems, report<strong>in</strong>g<br />

policies, <strong>and</strong> the methods utilized to analyze<br />

the data. As one example, the Dvorak technique<br />

– a subjective method that is rout<strong>in</strong>ely applied<br />

<strong>in</strong> all ocean bas<strong>in</strong>s to estimate tropical cyclone<br />

<strong>in</strong>tensity us<strong>in</strong>g satellite imagery – was not<br />

<strong>in</strong>troduced until the early 1970s <strong>and</strong> has evolved<br />

markedly s<strong>in</strong>ce then. The technique orig<strong>in</strong>ally<br />

utilized visible satellite imagery <strong>and</strong> was based<br />

on subjective pattern recognition. At that time,<br />

<strong>in</strong>tensity estimates could only be made dur<strong>in</strong>g<br />

daylight hours. In the early- to mid 1980s, the<br />

Dvorak technique was significantly modified to<br />

<strong>in</strong>clude digital <strong>in</strong>frared satellite imagery (which<br />

is available 24 hours per day), <strong>and</strong> has become<br />

the de facto method for estimat<strong>in</strong>g <strong>in</strong>tensity <strong>in</strong><br />

the absence <strong>of</strong> aircraft reconnaissance. (See<br />

Chapter 4 for suggested measures to improve<br />

consistency).<br />

Insufficient efforts <strong>in</strong> re-exam<strong>in</strong><strong>in</strong>g <strong>and</strong> quality<br />

controll<strong>in</strong>g the tropical cyclone record on a year<br />

to year basis, particularly outside the Atlantic<br />

<strong>and</strong> eastern North Pacific regions, have resulted<br />

<strong>in</strong> substantial uncerta<strong>in</strong>ties when us<strong>in</strong>g best<br />

track data to calculate changes over time. Efforts<br />

are ongo<strong>in</strong>g to reanalyze the historic best<br />

track data, but such a posteriori reanalyses are<br />

less than optimal because not all <strong>of</strong> the orig<strong>in</strong>al<br />

data that the best track was based on are readily<br />

available.<br />

Compared to earlier periods, tropical cyclonecounts<br />

are acceptable for application to<br />

long-term trend studies back to about 1945 <strong>in</strong><br />

the Atlantic <strong>and</strong> 1970 <strong>in</strong> the Eastern Pacific<br />

(e.g., Holl<strong>and</strong> <strong>and</strong> Webster, 2007 <strong>and</strong> references<br />

there<strong>in</strong>), <strong>and</strong> back to about 1975 for the Western<br />

<strong>and</strong> Southern Pacific bas<strong>in</strong>s, thanks to earthorbit<strong>in</strong>g<br />

satellites (e.g., Holl<strong>and</strong>, 1981). Until<br />

the launch <strong>of</strong> MeteoSat-7 <strong>in</strong> 1998, the Indian<br />

Oceans were seen only obliquely, but storm<br />

counts may still be expected to be accurate<br />

after 1977. In earlier periods, it is more likely<br />

that storms could be missed entirely, especially<br />

if they did not pass near ships at sea or l<strong>and</strong><br />

masses. For the North Atlantic, it is likely that<br />

up to 3 storms per year were miss<strong>in</strong>g before<br />

1900, dropp<strong>in</strong>g to zero by the early 1960s<br />

<strong>Weather</strong> <strong>and</strong> <strong>Climate</strong> <strong>Extremes</strong> <strong>in</strong> a Chang<strong>in</strong>g <strong>Climate</strong><br />

<strong>Regions</strong> <strong>of</strong> Focus: North America, Hawaii, Caribbean, <strong>and</strong> U.S. Pacific Isl<strong>and</strong>s<br />

(Holl<strong>and</strong> <strong>and</strong> Webster, 2007; Chang <strong>and</strong> Guo,<br />

2007). Estimates <strong>of</strong> the duration <strong>of</strong> storms are<br />

considered to be less reliable prior to the 1970s<br />

due particularly to a lack <strong>of</strong> good <strong>in</strong>formation<br />

on their time <strong>of</strong> genesis. S<strong>in</strong>ce the 1970s, storms<br />

were more accurately tracked throughout their<br />

lifetimes by geostationary satellites.<br />

Estimates <strong>of</strong> storm <strong>in</strong>tensity are far less reliable,<br />

<strong>and</strong> this rema<strong>in</strong>s true for large portions <strong>of</strong> the<br />

globe even today. Airborne hurricane reconnaissance<br />

flight became <strong>in</strong>creas<strong>in</strong>gly rout<strong>in</strong>e<br />

<strong>in</strong> the North Atlantic <strong>and</strong> western North Pacific<br />

regions after 1945, but was discont<strong>in</strong>ued <strong>in</strong> the<br />

western North Pacific region <strong>in</strong> 1987. Some<br />

missions are today be<strong>in</strong>g conducted under the<br />

auspices <strong>of</strong> the government <strong>of</strong> Taiwan. However,<br />

airborne reconnaissance only samples a small<br />

fraction <strong>of</strong> storms, <strong>and</strong> then only over a fraction<br />

<strong>of</strong> their lifetimes; moreover, good, quantitative<br />

estimates <strong>of</strong> w<strong>in</strong>d speeds from aircraft did not<br />

become available until the late 1950s. Beg<strong>in</strong>n<strong>in</strong>g<br />

<strong>in</strong> the mid-1970s, tropical cyclone <strong>in</strong>tensity<br />

has been estimated from satellite imagery. Until<br />

relatively recently, techniques for do<strong>in</strong>g so<br />

were largely subjective, <strong>and</strong> the known lack <strong>of</strong><br />

homogeneity <strong>in</strong> both the data <strong>and</strong> techniques<br />

applied <strong>in</strong> the post-analyses has resulted <strong>in</strong><br />

significant skepticism regard<strong>in</strong>g the consistency<br />

<strong>of</strong> the <strong>in</strong>tensity estimates <strong>in</strong> the data set. This<br />

lack <strong>of</strong> temporal consistency renders the data<br />

suspect for identify<strong>in</strong>g trends, particularly <strong>in</strong><br />

metrics related to <strong>in</strong>tensity.<br />

Recent studies have addressed these known<br />

data issues. Koss<strong>in</strong> et al. (2007a) constructed a<br />

more homogeneous record <strong>of</strong> hurricane activity,<br />

<strong>and</strong> found remarkably good agreement <strong>in</strong><br />

Compared to<br />

earlier periods,<br />

tropical cyclone<br />

counts are<br />

acceptable for<br />

application to<br />

long-term trend<br />

studies back to<br />

about 1945 <strong>in</strong> the<br />

Atlantic <strong>and</strong> 1970 <strong>in</strong><br />

the Eastern Pacific.<br />

55

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