Hochschulschrift
Estimation of Convective Extreme Events over Germany based on Large Scale Parameters
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
Köln, Universität zu Köln, Dissertation, 2016
- Classification
-
Geowissenschaften
- Event
-
Veröffentlichung
- (where)
-
Köln
- (who)
-
Universitäts- und Stadtbibliothek Köln
- (when)
-
2016
- Creator
-
Ulbrich, Sven
- Contributor
-
Pinto, Joaquim G.
Shao, Yaping
- URN
-
urn:nbn:de:hbz:38-70655
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:46 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Object type
- Hochschulschrift
Associated
- Ulbrich, Sven
- Pinto, Joaquim G.
- Shao, Yaping
- Universitäts- und Stadtbibliothek Köln
Time of origin
- 2016
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Strong dependence of extreme convective precipitation intensities on gauge network density
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Using Convective Available Potential Energy (CAPE) and Dew-Point Temperature to Characterize Rainfall-Extreme Events in the South-Central Andes
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Large-scale experimental studies on loads and structural collapse during extreme hydrodynamic events
Large eddy simulations of oceanic convective shear flow
Extreme hydrological events
Extreme events session
Discrete Parameter Estimation for Rare Events: From Binomial to Extreme Value Distributions
Estimation of ship roll damping for the investigation of extreme roll events
Strong dependence of extreme convective precipitation intensities on gauge network density
Extreme rainfall events in simulations, theory and related large-scale dynamic processes
Extreme land forming events
Convective Entladung.
Using Convective Available Potential Energy (CAPE) and Dew-Point Temperature to Characterize Rainfall-Extreme Events in the South-Central Andes
Using Convective Available Potential Energy (CAPE) and Dew-Point Temperature to Characterize Rainfall-Extreme Events in the South-Central Andes