Deutsch
 
Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

 
 
DownloadE-Mail
  A global historical data set of tropical cyclone exposure (TCE-DAT)

Geiger, T., Frieler, K., Bresch, D. N. (2018): A global historical data set of tropical cyclone exposure (TCE-DAT). - Earth System Science Data, 10, 1, 185-194.
https://doi.org/10.5194/essd-10-185-2018

Item is

Dateien

einblenden: Dateien
ausblenden: Dateien
:
7837oa.pdf (Verlagsversion), 3MB
Name:
7837oa.pdf
Beschreibung:
-
Sichtbarkeit:
Öffentlich
MIME-Typ / Prüfsumme:
application/pdf / [MD5]
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-
Lizenz:
-

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Geiger, Tobias1, Autor              
Frieler, Katja1, Autor              
Bresch, D. N.2, Autor
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: Tropical cyclones pose a major risk to societies worldwide, with about 22 million directly affected people and damages of USD 29 billion on average per year over the last 20 years. While data on observed cyclones tracks (location of the center) and wind speeds are publicly available, these data sets do not contain information about the spatial extent of the storm and people or assets exposed. Here, we apply a simplified wind field model to estimate the areas exposed to wind speeds above 34, 64, and 96 knots (kn). Based on available spatially explicit data on population densities and gross domestic product (GDP) we estimate (1) the number of people and (2) the sum of assets exposed to wind speeds above these thresholds accounting for temporal changes in historical distribution of population and assets (TCE-hist) and assuming fixed 2015 patterns (TCE-2015). The associated spatially explicit and aggregated country-event-level exposure data (TCE-DAT) cover the period 1950 to 2015 and are freely available at https://doi.org/10.5880/pik.2017.011 (Geiger at al., 2017c). It is considered key information to (1) assess the contribution of climatological versus socioeconomic drivers of changes in exposure to tropical cyclones, (2) estimate changes in vulnerability from the difference in exposure and reported damages and calibrate associated damage functions, and (3) build improved exposure-based predictors to estimate higher-level societal impacts such as long-term effects on GDP, employment, or migration.

Details

einblenden:
ausblenden:
Sprache(n):
 Datum: 2018
 Publikationsstatus: Final veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.5194/essd-10-185-2018
PIKDOMAIN: Climate Impacts & Vulnerabilities - Research Domain II
eDoc: 7837
Research topic keyword: Climate impacts
Research topic keyword: Economics
Research topic keyword: Extremes
Research topic keyword: Atmosphere
Research topic keyword: Weather
Model / method: Nonlinear Data Analysis
Model / method: Open Source Software
Regional keyword: Global
Organisational keyword: RD2 - Climate Resilience
Working Group: Impacts of Climate Change on Human Population Dynamics
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Earth System Science Data
Genre der Quelle: Zeitschrift, SCI, Scopus, p3, oa
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 10 (1) Artikelnummer: - Start- / Endseite: 185 - 194 Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals2_126