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).
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
model data combined with statistical reconstruction using station observations
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Description
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)
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).
Description
The skill of the dataset depends on the meteorological variable and timescale considered. For details, see Schenk and Zorita (2012) and Schenk (2015).
FAIR
F-UJI result: total 62 %
Description
Summary: Findable: 6 of 7 level; Accessible: 2 of 3 level; Interoperable: 3 of 4 level; Reusable: 4 of 10 level
SQA - Scientific Quality Assurance 'approved by author'
Result Date
2017-12-01
Technical Quality Assurance (TQA)
TQA - Technical Quality Assurance 'approved by WDCC'
Description
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
Method
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
[1] DOISamuelsson, 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
Is documented by
[1] DOISchenk, F.; Zorita, E. (2012). Reconstruction of high resolution atmospheric fields for Northern Europe using analog-upscaling. doi:10.5194/cp-8-1681-2012