Technical note : Space-time statistical quality control of extreme precipitation observations
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: Hydrology and earth system sciences 26 (2022), pp. 6137-6146
- Ereignis
-
Veröffentlichung
- (wo)
-
Stuttgart
- (wer)
-
Universitätsbibliothek der Universität Stuttgart
- (wann)
-
2022
- Urheber
- DOI
-
10.18419/opus-13797
- URN
-
urn:nbn:de:bsz:93-opus-ds-138168
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:20 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- El Hachem, Abbas
- Seidel, Jochen
- Imbery, Florian
- Junghänel, Thomas
- Bárdossy, András
- Universitätsbibliothek der Universität Stuttgart
Entstanden
- 2022
Ähnliche Objekte (12)
Statistical Modelling and Estimation of Space-Time Extremes
Using stochastic space-time models to map extreme precipitation in southern Portugal
Extracting statistical parameters of extreme precipitation from a NWP model
Technical note: Modeling spatial fields of extreme precipitation – a hierarchical Bayesian approach
Variability of extreme precipitation on different scales in statistical and numerical models
Present-day and future mediterranean precipitation extremes assessed by different statistical approaches
Statistical and dynamical downscaling assessments of precipitation extremes in the Mediterranean area
Technical note: Space-time analysis of rainfall extremes in Italy: clues from a reconciled dataset
Technical note: Space–time analysis of rainfall extremes in Italy: clues from a reconciled dataset
Technical Note: Modeling Spatial Fields of Extreme Precipitation – A Hierarchical Bayesian Approach
Inter-comparison of statistical downscaling methods for projection of extreme precipitation in Europe
Inter-comparison of statistical downscaling methods for projection of extreme precipitation in Europe
Statistical Modelling and Estimation of Space-Time Extremes
Using stochastic space-time models to map extreme precipitation in southern Portugal
Extracting statistical parameters of extreme precipitation from a NWP model
Technical note: Modeling spatial fields of extreme precipitation – a hierarchical Bayesian approach
Variability of extreme precipitation on different scales in statistical and numerical models
Present-day and future mediterranean precipitation extremes assessed by different statistical approaches
Statistical and dynamical downscaling assessments of precipitation extremes in the Mediterranean area
Technical note: Space-time analysis of rainfall extremes in Italy: clues from a reconciled dataset
Technical note: Space–time analysis of rainfall extremes in Italy: clues from a reconciled dataset
Technical Note: Modeling Spatial Fields of Extreme Precipitation – A Hierarchical Bayesian Approach
Inter-comparison of statistical downscaling methods for projection of extreme precipitation in Europe
Inter-comparison of statistical downscaling methods for projection of extreme precipitation in Europe
Statistical Modelling and Estimation of Space-Time Extremes
Using stochastic space-time models to map extreme precipitation in southern Portugal
Extracting statistical parameters of extreme precipitation from a NWP model
Technical note: Modeling spatial fields of extreme precipitation – a hierarchical Bayesian approach
Variability of extreme precipitation on different scales in statistical and numerical models
Present-day and future mediterranean precipitation extremes assessed by different statistical approaches
Statistical and dynamical downscaling assessments of precipitation extremes in the Mediterranean area
Technical note: Space-time analysis of rainfall extremes in Italy: clues from a reconciled dataset
Technical note: Space–time analysis of rainfall extremes in Italy: clues from a reconciled dataset
Technical Note: Modeling Spatial Fields of Extreme Precipitation – A Hierarchical Bayesian Approach
Inter-comparison of statistical downscaling methods for projection of extreme precipitation in Europe