Articles | Volume 9, issue 12
https://doi.org/10.5194/amt-9-5933-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-9-5933-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A Bayesian model to correct underestimated 3-D wind speeds from sonic anemometers increases turbulent components of the surface energy balance
John M. Frank
CORRESPONDING AUTHOR
US Forest Service, Rocky Mountain Research Station, 240 W. Prospect
Rd., Fort Collins, CO 80526, USA
University of Wyoming, Department of Botany and Program in Ecology,
1000 E. University Ave, Laramie, WY 82071, USA
William J. Massman
US Forest Service, Rocky Mountain Research Station, 240 W. Prospect
Rd., Fort Collins, CO 80526, USA
Brent E. Ewers
University of Wyoming, Department of Botany and Program in Ecology,
1000 E. University Ave, Laramie, WY 82071, USA
Viewed
Total article views: 2,564 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 23 Jun 2016)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
1,460 | 1,012 | 92 | 2,564 | 298 | 107 | 111 |
- HTML: 1,460
- PDF: 1,012
- XML: 92
- Total: 2,564
- Supplement: 298
- BibTeX: 107
- EndNote: 111
Total article views: 2,139 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 12 Dec 2016)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
1,235 | 822 | 82 | 2,139 | 165 | 96 | 101 |
- HTML: 1,235
- PDF: 822
- XML: 82
- Total: 2,139
- Supplement: 165
- BibTeX: 96
- EndNote: 101
Total article views: 425 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 23 Jun 2016)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
225 | 190 | 10 | 425 | 133 | 11 | 10 |
- HTML: 225
- PDF: 190
- XML: 10
- Total: 425
- Supplement: 133
- BibTeX: 11
- EndNote: 10
Cited
11 citations as recorded by crossref.
- Impact of Insolation Data Source on Remote Sensing Retrievals of Evapotranspiration over the California Delta M. Anderson et al. 10.3390/rs11030216
- A study of the role of seven historically significant fast-response hygrometers and sensor calibration on eddy covariance H2O fluxes and surface energy balance closure J. Frank & W. Massman 10.1016/j.agrformet.2023.109437
- Incorporation of Unmanned Aerial Vehicle (UAV) Point Cloud Products into Remote Sensing Evapotranspiration Models M. Aboutalebi et al. 10.3390/rs12010050
- Simulation of net ecosystem productivity of a lodgepole pine forest after mountain pine beetle attack using a modified version of 3-PG G. Meyer et al. 10.1016/j.foreco.2018.01.034
- Field-Scale Assessment of Land and Water Use Change over the California Delta Using Remote Sensing M. Anderson et al. 10.3390/rs10060889
- Near-field variability of evaposublimation in a montane conifer forest S. Drake et al. 10.3389/feart.2023.1249113
- Improving measurement technology for the design of sustainable cities E. Pardyjak & R. Stoll 10.1088/1361-6501/aa7c77
- Measurements and simulations using the 3-PG model of the water balance and water use efficiency of a lodgepole pine stand following mountain pine beetle attack G. Meyer et al. 10.1016/j.foreco.2017.03.019
- Field-scale intercomparison analysis of ecosystems in partitioning surface energy balance components in a semi-arid environment V. Sridhar et al. 10.1016/j.ecohyd.2018.06.005
- Coordinate Rotation–Amplification in the Uncertainty and Bias in Non-orthogonal Sonic Anemometer Vertical Wind Speeds J. Frank et al. 10.1007/s10546-020-00502-3
- A method to assess the accuracy of sonic anemometer measurements A. Peña et al. 10.5194/amt-12-237-2019
11 citations as recorded by crossref.
- Impact of Insolation Data Source on Remote Sensing Retrievals of Evapotranspiration over the California Delta M. Anderson et al. 10.3390/rs11030216
- A study of the role of seven historically significant fast-response hygrometers and sensor calibration on eddy covariance H2O fluxes and surface energy balance closure J. Frank & W. Massman 10.1016/j.agrformet.2023.109437
- Incorporation of Unmanned Aerial Vehicle (UAV) Point Cloud Products into Remote Sensing Evapotranspiration Models M. Aboutalebi et al. 10.3390/rs12010050
- Simulation of net ecosystem productivity of a lodgepole pine forest after mountain pine beetle attack using a modified version of 3-PG G. Meyer et al. 10.1016/j.foreco.2018.01.034
- Field-Scale Assessment of Land and Water Use Change over the California Delta Using Remote Sensing M. Anderson et al. 10.3390/rs10060889
- Near-field variability of evaposublimation in a montane conifer forest S. Drake et al. 10.3389/feart.2023.1249113
- Improving measurement technology for the design of sustainable cities E. Pardyjak & R. Stoll 10.1088/1361-6501/aa7c77
- Measurements and simulations using the 3-PG model of the water balance and water use efficiency of a lodgepole pine stand following mountain pine beetle attack G. Meyer et al. 10.1016/j.foreco.2017.03.019
- Field-scale intercomparison analysis of ecosystems in partitioning surface energy balance components in a semi-arid environment V. Sridhar et al. 10.1016/j.ecohyd.2018.06.005
- Coordinate Rotation–Amplification in the Uncertainty and Bias in Non-orthogonal Sonic Anemometer Vertical Wind Speeds J. Frank et al. 10.1007/s10546-020-00502-3
- A method to assess the accuracy of sonic anemometer measurements A. Peña et al. 10.5194/amt-12-237-2019
Latest update: 02 Nov 2024
Short summary
Ecosystem flux networks measure carbon dioxide and water vapor exchange and are integral to global studies of the biosphere and climate change. Yet recent evidence suggests a measurement error in sonic anemometry, the principal instrument for eddy-covariance research. A novel Bayesian analysis estimates the three-dimensional correction in these instruments and demonstrates that 60 % of the sites within the AmeriFlux network and numerous others globally underestimate all ecosystem fluxes by 8–12 %.
Ecosystem flux networks measure carbon dioxide and water vapor exchange and are integral to...