The field drift buoys experiment FRAMZY 2009 consisted of the deployment and tracking of an array of 7 drifting autonomous buoys, of which one did not transmit values. The experiment aimed at the measurement of the sea ice drift in the Fram Strait and its relation to the atmospheric forcing, primarily to that by cyclones. The buoys were deployed in October 2009 in the Fram Strait region and sampled data until February 2010. FRAMZY 2009 was the last one in a series of five field experiments (1999,2002,2007,2008) carried out in the frame of the Collaborative Research Centre 512 (Cyclones and the North Atlantic Climate System) funded by the German Science Foundation.
Brümmer, Burghard; Müller, Gerd; Wetzel, Christian (2011). FRAMZY 2009 - Fifth Field Experiment on Fram Strait Cyclones and their Impact on Sea Ice: meteorological measurements of 6 autonomous ice buoys. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.1594/WDCC/UNI_HH_MI_FRAMZY2009
observation: Level2c All presented data is observational data. Accuracy and precision are dependent on sensors and platforms. Details to sensor types, error sources and quality checking are given in Additional Information accompanying each dataset.;All datasets passed several quality checks. Quality control took place during the field phase; data were controlled during their use for research and and again before publishing.
Data were processed with objective algorithms (e.g. to reject values out of range) and were controlled subjectively by experienced researchers. The processing is described in detail in the documentation of each dataset.
In addition the buoy dataset contains unprocessed raw data files as provided by ARGOS.
Completeness report
Data acquisition is completed.
Description
Data acquisition is completed.
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
2011-12-08
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