High Resolution Atmospheric Forcing Fields

doi:10.1594/WDCC/HiResAFF

Schenk, Frederik

ExperimentDOI
Summary
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).
Project
ECOSUPPORT (ECOSUPPORT)
Contact
Dr. Frederik Schenk (
 frederik.schenk@nullgeo.su.se
)
Spatial Coverage
Longitude -5 to 37 Latitude 48 to 71 Altitude: 0 m to 10 m
Temporal Coverage
1850-01-01 to 2009-09-29 (proleptic_gregorian)
Use constraints
For scientific use only
Data Catalog
World Data Center for Climate
Size
23.26 GiB (24979119104 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2027-07-19
Cite as
Schenk, Frederik (2017). The long-term dataset of High Resolution Atmospheric Forcing Fields (HiResAFF) for Northern Europe since 1850. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.1594/WDCC/HiResAFF

BibTeX RIS
[Entry acronym: HiResAFF] [Entry id: 3535037]
Accuracy report
model data combined with statistical reconstruction using station observations
model: (RCAO/RCA3) Swedish Rossby Centre Regional Climate Atmosphere Ocean Model
The analog-method and reconstruction skill is described in Schenk and Zorita (2012) and the extended dataset to 1850 in Schenk (2015)
QA: SQA - Scientific Quality Assurance 'approved by author' 01/12/2017; TQA - Technical Quality Assurance 'approved by WDCC' 21/11/2017
Completeness report
complete
Consistency report
The skill of the dataset depends on the meteorological variable and timescale considered. For details, see Schenk and Zorita (2012) and Schenk (2015).
Specification
Technical Quality Assurance: The number of data sets is checked and not equal 0[ done ]
Technical Quality Assurance: The size of every data set is not equal 0[ done ]
Technical Quality Assurance: The data sets and corresponding metadata are all accessible via internet[ done ]
Technical Quality Assurance: The data size is checked and correct[ done ]
Technical Quality Assurance: The format is verified and correct[ done ]
Technical Quality Assurance: The time description (metadata) and data are consistent[ done ]
Technical Quality Assurance: The variable description and data are consistent[ done ]
Contact typePersonInstitute
ContactDr. Frederik SchenkHelmholtz-Zentrum Geesthacht, Zentrum für Material- und Küstenforschung GmbH
AuthorDr. Frederik SchenkHelmholtz-Zentrum Geesthacht, Zentrum für Material- und Küstenforschung GmbH
investigatorDr. Frederik SchenkHelmholtz-Zentrum Geesthacht, Zentrum für Material- und Küstenforschung GmbH
contributorHelmholtz-Zentrum Geesthacht, Zentrum für Material- und Küstenforschung GmbH
metadataDr. Frederik SchenkHelmholtz-Zentrum Geesthacht, Zentrum für Material- und Küstenforschung GmbH
metadataDr. Beate GeyerHelmholtz-Zentrum Geesthacht, Zentrum für Material- und Küstenforschung GmbH

Is documented by

[1] DOI Schenk, F.; Zorita, E. (2012). Reconstruction of high resolution atmospheric fields for Northern Europe using analog-upscaling. doi:10.5194/cp-8-1681-2012
[2] Schenk, Frederik. (2015). The analog-method as statistical upscaling tool for meteorological field reconstructions over Northern Europe since 1850. http://ediss.sub.uni-hamburg.de/volltexte/2015/7156/

Is compiled by

[1] DOI Samuelsson, Patrick; Jones, Colin G.; Will´En, Ulrika; Ullerstig, Anders; Gollvik, Stefan; Hansson, Ulf; Jansson, Erik; Kjellstro¨M, Christer; Nikulin, Grigory; Wyser, Klaus. (2011). The Rossby Centre Regional Climate model RCA3: model description and performance. doi:10.1111/j.1600-0870.2010.00478.x

Attached Datasets (7)

Details for selected entry