Impact of post-field data processing on eddy covariance flux estimates and energy balance closure

By Matthias Mauder, T. Foken. 2006

321 citations recorded by the source corpus.

Subfields: Computational Mechanics, Environmental Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/b8dd3e2a2734d578c6e7cde13f9f6363fb928a7a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Matthias Mauder
2. T. Foken
3. G. Fratini
4. R. Leuning
5. M. Aubinet
6. Steve Oncley
7. E. Bou‐Zeid
8. Zhi-hua Wang

In Environmental Engineering

1. Matthias Mauder
2. T. Foken
3. G. Fratini
4. R. Leuning
5. Steve Oncley
6. M. Aubinet

In Ocean Engineering

1. G. Fratini
2. Matthias Mauder
3. T. Foken

Citations in the corpus

• Towards a consistent eddy-covariance processing: an intercomparison of EddyPro and TK3 (2014, methodology): “The impact of the entire post-processing typically amounts to 5–20 % for energy fluxes and more than 50 % for CO 2 fluxes if open-path analyzers are used (Mauder and Foken, 2006).”
• Documentation and Instruction Manual of the Eddy-Covariance Software Package TK3 (update) (2011, background): “01 % from one step to the next one according to Mauder and Foken (Mauder and Foken 2006).”
• Corrections and data quality control (2012, methodology): “11 Influence of averaging time on the sensible and latent heat flux and the residual of the energy balance closure (all in W m 2) for the maize site of the whole LITFASS-2003 period (Mauder and Foken 2006)”