cops_nebt_mf_flux: Eddy-covariance turbulence data from COPS energy balance and turbulence network stations run by Meteo-France/CNRM during COPS 2007
doi:10.1594/WDCC/cops_nebt_mf_flux
Pigeon, Gregoire et al.
Dataset GroupDOI
Summary
The two energy balance station run by Meteo-France/CNRM measured high-frequency (20 Hz) eddy-covariance raw data with a Solent-HS (Gill Instruments Ltd.) sonic anemometer and a LI-7500 (LI-COR Biosciences) hygrometer above the target land use type corn. The measuring set-up was continuously running during July 2007 in order to provide turbulent flux data of momentum, sensible and latent heat as well as carbon dioxide. Post-processing was performed using the software package TK2 (developed by the Department of Micrometeorology, University of Bayreuth) which produces quality assured turbulent flux data with an averaging interval of 30 min. The documentation and instruction manual of TK2 (see entry cops_nebt_ubt_info_1) and additional references about the applied flux corrections and post-field data quality control (see entry cops_nebt_ubt_info_2) as well as a document about the general handling of the flux data can be found in supplementary pdf-files within the energy balance and turbulence network (NEBT) experiment of the data base. The turbulent flux data in this data set are flagged according to their quality and checked for an impact of possible internal boundary layers. Additionally, the flux contribution from the target land use type intended to be observed to the total flux measured was calculated applying footprint modeling. Information and references about the internal boundary layer evaluation procedure and the footprint analysis are also given in additional info pdf-files. Pictures of the footprint climatology of the station as related to the land use and to the spatial distribution of the quality flags are included in the additional info pdf-file corresponding to the individual station.
Pigeon, Gregoire; Eigenmann, Rafael; Foken, Thomas; Legain, Dominique; Piguet, Bruno; Traulle, Olivier (2012). cops_nebt_mf_flux: Eddy-covariance turbulence data from COPS energy balance and turbulence network stations run by Meteo-France/CNRM during COPS 2007. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.1594/WDCC/cops_nebt_mf_flux
observation Foken, T., Goeckede, M., Mauder, M., Mahrt, L., Amiro, B.D., Munger J. W., 2004. Post-field data quality control. In: X. Lee, W. Massman, B. Law (Eds.), Handbook of Micrometeorology, A Guide for Surface Flux Measurement and Analysis, Kluwer, Dordrecht, pp. 181-208.
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
2012-03-12
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] DOIWulfmeyer, V.; Flamant, C.; Behrendt, A.; Blyth, A.; Brown, A.; Dorninger, M.; Illingworth, A.; Mascart, P.; Montani, A.; Weckwerth, T. (2011). Advances in the understanding of convective processes and precipitation over low-mountain regions through the Convective and Orographically-induced Precipitation Study (COPS). doi:10.1002/qj.799
[2] DOIWulfmeyer, V.; Flamant, C.; Behrendt, A.; Blyth, A.; Brown, A.; Dorninger, M.; Illingworth, A.; Mascart, P.; Montani, A.; Weckwerth, T (Eds.). (2011). Special Issue: Advances in the understanding of convective processes and precipitation over low-mountain regions through the Convective and Orographically-induced Precipitation Study (COPS). doi:10.1002/qj.v137.1s
Parent
cops_nebt: contains data from Energy Balance and TurbulenceNetwork during COPS Campaign