The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Basic and extensible post-processing of eddy covariance flux data with REddyProc
Open accessAbstract
Abstract. With the eddy covariance (EC) technique, net fluxes of carbon dioxide (CO2) and other trace gases as well as water and energy fluxes can be measured at the ecosystem level. These flux measurements are a main source for understanding biosphere–atmosphere interactions and feedbacks through cross-site analysis, model–data integration, and upscaling. The raw fluxes measured with the EC technique require extensive and laborious data processing. While there are standard tools1 available in an open-source environment for processing high-frequency (10 or 20 Hz) data into half-hourly quality-checked fluxes, there is a need for more usable and extensible tools for the subsequent post-processing steps. We tackled this need by developing the REddyProc package in the cross-platform language R that provides standard CO2-focused post-processing routines for reading (half-)hourly data from different formats, estimating the u* threshold, as well as gap-filling, flux-partitioning, and visualizing the results. In addition to basic processing, the functions are extensible and allow easier integration in extended analysis than current tools. New features include cross-year processing and a better treatment of uncertainties. A comparison of REddyProc routines with other state-of-the-art tools resulted in no significant differences in monthly and annual fluxes across sites. Lower uncertainty estimates of both u* and resulting gap-filled fluxes by 50 % with the presented tool were achieved by an improved treatment of seasons during the bootstrap analysis. Higher estimates of uncertainty in daytime partitioning (about twice as high) resulted from a better accounting for the uncertainty in estimates of temperature sensitivity of respiration. The provided routines can be easily installed, configured, and used. Hence, the eddy covariance community will benefit from the REddyProc package, allowing easier integration of standard post-processing with extended analysis. 1http://fluxnet.fluxdata.org/2017/10/10/toolbox-a-rolling-list-of-softwarepackages-for-flux-related-data-processing/, last access: 17 August 2018
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Bootstrap Methods and their Application
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“Therefore, bootstrap (re-sampling with replacement) is applied to generate 200 artificial replicates of the dataset and for each replicate the threshold is estimated (Efron and Tibshirani, 1986; Davison and Hinkley, 1997).”
MethodEfron, B., & Tibshirani, R. (1986) · Statistical Science · doi:10.1214/ss/1177013815 · Cited by 6,033
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Self-citationEstimating regression models with unknown break‐points
Muggeo, V. M. R. (2003) · Statistics in Medicine · doi:10.1002/sim.1545 · Cited by 2,371
Gap filling strategies for defensible annual sums of net ecosystem exchange
Falge, E., Baldocchi, D., Olson, R., Anthoni, P., Aubinet, M., Bernhofer, C., Burba, G., Ceulemans, R., Clement, R., Dolman, H., et al. (2001) · Agricultural and Forest Meteorology · doi:10.1016/s0168-1923(00)00225-2 · Cited by 1,910
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segmented: An R package to Fit Regression Models with Broken-Line Relationships
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Mechanistic evidence for tracking the seasonality of photosynthesis with solar-induced fluorescence
Magney, T. S., Bowling, D. R., Logan, B. A., Grossmann, K., Stutz, J., Blanken, P. D., Burns, S. P., Cheng, R., Garcia, M. A., Kӧhler, P., et al. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1900278116 · Cited by 435
Brando, P. M., Silvério, D., Maracahipes‐Santos, L., Oliveira‐Santos, C., Levick, S. R., Coe, M. T., Migliavacca, M., Balch, J. K., Macedo, M. N., Nepstad, D. C., et al. (2019) · Global Change Biology · doi:10.1111/gcb.14659 · Cited by 77
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Metadata
- Authors
- Wutzler, T., Lucas-Moffat, A., Migliavacca, M., Knauer, J., Sickel, K., Šigut, L., Menzer, O., & Reichstein, M.
- Venue
- Biogeosciences
- Publisher
- Copernicus GmbH
- Published
- 2018-08-23
- Volume
- 15
- Issue
- 16
- Pages
- 5015-5030
- ISSN
- 1726-4170 (ISSN-L)
- 1726-4189
- OpenAlex
- W2785822431
- Cited by
- 1,018
- References
- 32
- FWCI
- 41.16
- Type
- journal article
- Language
- en
- Open access
- gold
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- Wutzler, T., Lucas-Moffat, A., Migliavacca, M., Knauer, J., Sickel, K., Šigut, L., Menzer, O., & Reichstein, M. (2018). Basic and extensible post-processing of eddy covariance flux data with REddyProc. Biogeosciences. https://doi.org/10.5194/bg-15-5015-2018
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