Evaluating the impact of model complexity on flood wave propagation and inundation extent with a hydrologic–hydrodynamic model coupling framework
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
Evaluating the impact of model complexity on flood wave propagation and inundation extent with a hydrologic–hydrodynamic model coupling framework ; volume:19 ; number:8 ; year:2019 ; pages:1723-1735
Natural hazards and earth system sciences ; 19, Heft 8 (2019), 1723-1735
- Urheber
-
Hoch, Jannis M.
Eilander, Dirk
Ikeuchi, Hiroaki
Baart, Fedor
Winsemius, Hessel C.
- DOI
-
10.5194/nhess-19-1723-2019
- URN
-
urn:nbn:de:101:1-2019081508271530560776
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:37 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
- Hoch, Jannis M.
- Eilander, Dirk
- Ikeuchi, Hiroaki
- Baart, Fedor
- Winsemius, Hessel C.
Ähnliche Objekte (12)
An improved dynamic bidirectional coupled hydrologic-hydrodynamic model for efficient flood inundation prediction
An improved dynamic bidirectional coupled hydrologic–hydrodynamic model for efficient flood inundation prediction
A Dynamic Bidirectional Coupled Hydrologic-Hydrodynamic Model for Flood Prediction
Multi-objective automatic calibration of hydrodynamic models utilizing inundation maps and gauge data
Reducing uncertainties in flood inundation outputs of a two-dimensional hydrodynamic model by constraining roughness
Implications of Model Selection: A Comparison of Publicly Available, CONUS-Extent Hydrologic Component Estimates
Toward continental hydrologic–hydrodynamic modeling in South America
Toward continental hydrologic–hydrodynamic modeling in South America
Implications of model selection: a comparison of publicly available, conterminous US-extent hydrologic component estimates
Study of the hydrologic and hydrodynamic coupling model (HHDCM) and application in urban extreme flood systems
Automatic Model Structure Identification for Conceptual Hydrologic Models
Identification of nighttime urban flood inundation extent using deep learning
An improved dynamic bidirectional coupled hydrologic-hydrodynamic model for efficient flood inundation prediction
An improved dynamic bidirectional coupled hydrologic–hydrodynamic model for efficient flood inundation prediction
A Dynamic Bidirectional Coupled Hydrologic-Hydrodynamic Model for Flood Prediction
Multi-objective automatic calibration of hydrodynamic models utilizing inundation maps and gauge data
Reducing uncertainties in flood inundation outputs of a two-dimensional hydrodynamic model by constraining roughness
Implications of Model Selection: A Comparison of Publicly Available, CONUS-Extent Hydrologic Component Estimates
Toward continental hydrologic–hydrodynamic modeling in South America
Toward continental hydrologic–hydrodynamic modeling in South America
Implications of model selection: a comparison of publicly available, conterminous US-extent hydrologic component estimates
Study of the hydrologic and hydrodynamic coupling model (HHDCM) and application in urban extreme flood systems
Automatic Model Structure Identification for Conceptual Hydrologic Models
Identification of nighttime urban flood inundation extent using deep learning
An improved dynamic bidirectional coupled hydrologic-hydrodynamic model for efficient flood inundation prediction
An improved dynamic bidirectional coupled hydrologic–hydrodynamic model for efficient flood inundation prediction
A Dynamic Bidirectional Coupled Hydrologic-Hydrodynamic Model for Flood Prediction
Multi-objective automatic calibration of hydrodynamic models utilizing inundation maps and gauge data
Reducing uncertainties in flood inundation outputs of a two-dimensional hydrodynamic model by constraining roughness
Implications of Model Selection: A Comparison of Publicly Available, CONUS-Extent Hydrologic Component Estimates
Toward continental hydrologic–hydrodynamic modeling in South America
Toward continental hydrologic–hydrodynamic modeling in South America
Implications of model selection: a comparison of publicly available, conterminous US-extent hydrologic component estimates
Study of the hydrologic and hydrodynamic coupling model (HHDCM) and application in urban extreme flood systems
Automatic Model Structure Identification for Conceptual Hydrologic Models