TopoSUB: a tool for efficient large area numerical modelling in complex topography at sub-grid scales
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
TopoSUB: a tool for efficient large area numerical modelling in complex topography at sub-grid scales ; volume:5 ; number:5 ; year:2012 ; pages:1245-1257
Geoscientific model development ; 5, Heft 5 (2012), 1245-1257
- Urheber
-
Fiddes, J.
Gruber, S.
- DOI
-
10.5194/gmd-5-1245-2012
- URN
-
urn:nbn:de:101:1-201711063541
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:30 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
- Fiddes, J.
- Gruber, S.
Ähnliche Objekte (12)
Fractal Reconstruction of Sub-Grid Scales for Large Eddy Simulation
A statistical description method of global sub-grid topography for numerical models
The importance of topography-controlled sub-grid process heterogeneity and semi-quantitative prior constraints in distributed hydrological models
A new downscaling method for sub-grid turbulence modeling
HESS Opinions "Topography driven conceptual modelling (FLEX-Topo)"
Investigating the importance of sub-grid particle formation in point source plumes over eastern China using IAP-AACM with a sub-grid parameterization
Investigating the importance of sub-grid particle formation in point source plumes over eastern China using IAP-AACM v1.0 with a sub-grid parameterization
Sub-grid Reaction Progress Variable Variance Closure in Turbulent Premixed Flames
Embedding machine-learnt sub-grid variability improves climate model precipitation patterns
Exploring new topography-based subgrid spatial structures for improving land surface modeling
Shallow water equations with depth-dependent anisotropic porosity for subgrid-scale topography
Radar rainfall observations at sub-kilometre and sub-minute scales
Fractal Reconstruction of Sub-Grid Scales for Large Eddy Simulation
A statistical description method of global sub-grid topography for numerical models
The importance of topography-controlled sub-grid process heterogeneity and semi-quantitative prior constraints in distributed hydrological models
A new downscaling method for sub-grid turbulence modeling
HESS Opinions "Topography driven conceptual modelling (FLEX-Topo)"
Investigating the importance of sub-grid particle formation in point source plumes over eastern China using IAP-AACM with a sub-grid parameterization
Investigating the importance of sub-grid particle formation in point source plumes over eastern China using IAP-AACM v1.0 with a sub-grid parameterization
Sub-grid Reaction Progress Variable Variance Closure in Turbulent Premixed Flames
Embedding machine-learnt sub-grid variability improves climate model precipitation patterns
Exploring new topography-based subgrid spatial structures for improving land surface modeling
Shallow water equations with depth-dependent anisotropic porosity for subgrid-scale topography
Radar rainfall observations at sub-kilometre and sub-minute scales
Fractal Reconstruction of Sub-Grid Scales for Large Eddy Simulation
A statistical description method of global sub-grid topography for numerical models
The importance of topography-controlled sub-grid process heterogeneity and semi-quantitative prior constraints in distributed hydrological models
A new downscaling method for sub-grid turbulence modeling
HESS Opinions "Topography driven conceptual modelling (FLEX-Topo)"
Investigating the importance of sub-grid particle formation in point source plumes over eastern China using IAP-AACM with a sub-grid parameterization
Investigating the importance of sub-grid particle formation in point source plumes over eastern China using IAP-AACM v1.0 with a sub-grid parameterization
Sub-grid Reaction Progress Variable Variance Closure in Turbulent Premixed Flames
Embedding machine-learnt sub-grid variability improves climate model precipitation patterns
Exploring new topography-based subgrid spatial structures for improving land surface modeling
Shallow water equations with depth-dependent anisotropic porosity for subgrid-scale topography