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dphase_larsimby: hydrological model LARSIM (Bavaria) forecasts run by WWA-KE for the MAP D-PHASE project

Hydrological forecasts with hydrological model LARSIM (LARSIM=LArge Area Runoof Simulation Model, BY=Bavaria, Conceptual RR-model. Forecast depth: 72 hours.) for rivers Iller and Lech (DE) driven by numerical weather prediction models LME, GME, GFS. The runs were performed by "Wasserwirtschaftsamt Kempten" (WWA-KE).

Simple

Alternate title

dphase_larsimby: hydrological model LARSIM (Bavaria) forecasts run by WWA-KE for the MAP D-PHASE project

Date (Creation)
2009-03-16
Citation identifier
None
Citation identifier
doi:10.1594/WDCC/dphase_larsimby / dphase_larsimby: hydrological model LARSIM (Bavaria) forecasts run by WWA-KE for the MAP D-PHASE project
Originator
  TU München - Uwe Ehret
Originator
  TU München - Uwe Ehret
Other citation details

doi:10.1594/WDCC/dphase_larsimby

Author
  TU München - Uwe Ehret
Point of contact
  TU München - Uwe Ehret
Theme
  • model data

Theme
  • hydrological model

Language
English
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S
E
W
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Begin date
2007-08-13
End date
2007-11-30
Distribution format
  • zip-file ( zip-file )

  • XML ( Extensible Markup Language )

  • NetCDF ( network Common Data Format )

Distributor

Distributor
 
Units of distribution

Mb

Transfer size
89
OnLine resource
http://doi.org/doi:10.1594/WDCC/dphase_larsimby
Hierarchy level
Series
Attribute description
multiple
Content type
modelResult
Descriptor

various

Attribute description
runoff_flux
Content type
modelResult
Descriptor

m3 s-1

File identifier
de.dkrz.wdcc.iso2207654 XML
Hierarchy level
Series
Hierarchy level name

dphase_larsimby

Date stamp
2022-04-25T04:35:44
Metadata standard name

ISO 19115

Metadata standard version

ISO 19139 / DKRZ ISO Simple Profile V1.0

Author
  TU München - Uwe Ehret
Point of contact
  TU München - Uwe Ehret
Originator
  TU München - Uwe Ehret
Originator
  TU München - Uwe Ehret
Dataset URI

http://doi.org/doi:10.1594/WDCC/dphase_larsimby

 
 

Overviews

Spatial extent

N
S
E
W
thumbnail


Keywords

hydrological model model data

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