High Resolution Atmospheric Forcing Fields


Schenk, Frederik

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).
Dr. Frederik Schenk (
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
23.26 GiB (24979119104 Byte)
completely archived
Creation Date
Future Review Date
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

European Commission - Seventh Framework Programme
Grant/Award No: 217246 - Multilateral call for research projects within the Joint Baltic Sea Research Programme BONUS+
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)
The skill of the dataset depends on the meteorological variable and timescale considered. For details, see Schenk and Zorita (2012) and Schenk (2015).
Findable: 6 of 7 level;
Accessible: 2 of 3 level;
Interoperable: 3 of 4 level;
Reusable: 4 of 10 level
F-UJI online v2.2.1 automated
Method Description
Checks performed by WDCC. Metrics documentation: https://doi.org/10.5281/zenodo.4081213 Metric Version: metrics_v0.5
Method Url
Result Date
Result Date
1. Number of data sets is correct and > 0: passed;
2. Size of every data set is > 0: passed;
3. The data sets and corresponding metadata are accessible: passed;
4. The data sizes are controlled and correct: passed;
5. The temporal coverage description (metadata) is consistent to the data: passed;
6. The format is correct: passed;
7. Variable description and data are consistent: passed
WDCC-TQA checklist
Method Description
Checks performed by WDCC. The list of TQA metrics are documented in the 'WDCC User Guide for Data Publication' Chapter 8.1.1
Method Url
Result Date
Contact typePersonORCIDInstitute

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

Parent project(s)


[Entry acronym: HiResAFF] [Entry id: 3535037]