• My GeoNetwork catalogue
  •   Search
  •   Map
  •   Sign in

High Resolution Atmospheric Forcing Fields

High RESolution Atmospheric Forcing Fields (HiResAFF) consist of key meteorological variables on daily scale which are typically used to drive ocean or ecosystem models. The fields are reconstructed through non-linear statistical upscaling using the analog-method (Schenk and Zorita, 2012). The method resamples atmospheric fields from a regional climate model (RCAO/RCA3) in time based on the best pattern similarity in the predictor space of homogenous historical station data since 1850. The dataset provides physically consistent homogeneous atmospheric fields suitable to derive long-term simulations and statistical analysis since 1850 over the North Sea and Baltic Sea region of Europe. The analog-method and reconstruction skill is described in Schenk and Zorita (2012) and the extended dataset to 1850 in Schenk (2015).

The research leading to these results has received funding from the European Union Seventh Framework Programme (FP/2007-2013) under grant agreement no. 217246 made with the joint Baltic Sea research and development programme BONUS, and the German Federal Ministry of Education and Research (03F0492A).

  • Identification
  • Distribution
  • Quality
  • Spatial rep.
  • Ref. system
  • Content
  • Portrayal
  • Metadata
  • Md. constraints
  • Md. maintenance
  • Schema info

Identification

Data identification

Citation

Alternate title

High Resolution Atmospheric Forcing Fields

Date (Creation)
2017-07-21
Citation identifier
None
Citation identifier
doi:10.1594/WDCC/HiResAFF / The long-term dataset of High Resolution Atmospheric Forcing Fields (HiResAFF) for Northern Europe since 1850
Originator
  Helmholtz-Zentrum Geesthacht, Zentrum für Material- und Küstenforschung GmbH - Dr. Frederik Schenk
Other citation details

doi:10.1594/WDCC/HiResAFF

Author
  Helmholtz-Zentrum Geesthacht, Zentrum für Material- und Küstenforschung GmbH - Dr. Frederik Schenk
Point of contact
  Helmholtz-Zentrum Geesthacht, Zentrum für Material- und Küstenforschung GmbH - Dr. Frederik Schenk
Theme
  • regional modelling

Theme
  • model data

Theme
  • coastdat

Theme
  • statistical reconstruction

Language
English

Extent

N
S
E
W
thumbnail


Begin date
1850-01-01
End date
2009-12-31
 

Distribution

Distribution

Distribution format
  • NetCDF ( network Common Data Format )

Distributor

Distributor
 

Digital transfer options

Units of distribution

Mb

Transfer size
24979
OnLine resource
http://doi.org/doi:10.1594/WDCC/HiResAFF
 

Quality

Hierarchy level
Series
 

Content

Coverage Description

Attribute description
air_pressure_at_sea_level
Content type
modelResult
Descriptor

Pa

Coverage Description

Attribute description
air_temperature
Content type
modelResult
Descriptor

K

Coverage Description

Attribute description
cloud_area_fraction
Content type
modelResult
Descriptor

0.01

Coverage Description

Attribute description
eastward_wind
Content type
modelResult
Descriptor

m s-1

Coverage Description

Attribute description
northward_wind
Content type
modelResult
Descriptor

m s-1

Coverage Description

Attribute description
precipitation_amount
Content type
modelResult
Descriptor

kg m-2

Coverage Description

Attribute description
relative_humidity
Content type
modelResult
Descriptor

0.01

 

Metadata

Metadata

File identifier
de.dkrz.wdcc.iso3535037 XML
Hierarchy level
Series
Hierarchy level name

HiResAFF

Date stamp
2022-04-25T05:11:58
Metadata standard name

ISO 19115

Metadata standard version

ISO 19139 / DKRZ ISO Simple Profile V1.0

Author
  Helmholtz-Zentrum Geesthacht, Zentrum für Material- und Küstenforschung GmbH - Dr. Frederik Schenk
Point of contact
  Helmholtz-Zentrum Geesthacht, Zentrum für Material- und Küstenforschung GmbH - Dr. Frederik Schenk
Originator
  Helmholtz-Zentrum Geesthacht, Zentrum für Material- und Küstenforschung GmbH - Dr. Frederik Schenk
Dataset URI

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

 
 

Overviews

Spatial extent

N
S
E
W
thumbnail


Keywords

coastdat model data regional modelling statistical reconstruction

Provided by

logo
Access to the portal
Read here the full details and access to the data.

Associated resources

Not available


  •   About
  •   Github
  •