Note: please use https://cera-www.dkrz.de/WDCC/ui/Compact.jsp?acronym=EKF400_v1.1 data instead of EKF400_v1 (details see Quality information EKF400_v1.1)!
EKF400 is a monthly resolved paleo-reanalysis covering the period 1603 to 2003. Early instrumental temperature and surface pressure observations, temperature indices derived from historical documents and temperature and moisture sensitive tree-ring measurements were assimilated into an atmospheric general circulation model ensemble using a Kalman filtering technique. This data set combines the advantage of traditional reconstruction methods of being as close as possible to observations with the advantage of climate models of being physically consistent and having 3-dimensional information about the state of the atmosphere for various variables and at all points in time.
Franke, Jörg; Brönnimann, Stefan; Bhend, Jonas; Brugnara, Yuri (2017). Ensemble Kalman Fitting Paleo-Reanalysis Version 1 (EKF400_v1). World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.1594/WDCC/EKF400_v1
Should not be used south of 60ºS. Skill is changing over time with the varying network of assimilated data.
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Description
Should not be used south of 60ºS. Skill is changing over time with the varying network of assimilated data.
EKF400 is the first monthly resolved paleo-reanalysis covering the period 1603 to 2003. Early instrumental temperature and surface pressure observations, temperature indices derived from historical documents and temperature and moisture sensitive tree-ring proxies were assimilated into an ensemble of atmospheric general circulation model (ECHAM 5.4) using a Kalman-filtering technique (Bhend et al, 2011).
EKF400 is a global data set with 4x4º resolution. Due to the location of the majority of assimilated data, skill is highest in extratropical northern hemisphere land areas.
FAIR
F-UJI result: total 66 %
Description
Summary: Findable: 6 of 7 level; Accessible: 2 of 3 level; Interoperable: 3 of 4 level; Reusable: 5 of 10 level
SQA - Scientific Quality Assurance 'approved by author'
Result Date
2017-03-02
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] DOIFranke, Jörg; Brönnimann, Stefan; Bhend, Jonas; Brugnara, Yuri. (2020). A monthly global paleo-reanalysis of the atmosphere from 1600 to 2005 for studying past climatic variations. doi:10.1038/sdata.2017.76