Zobrazeno 1 - 5
of 5
pro vyhledávání: '"W. Stephen Chan"'
Publikováno v:
Boundary-Layer Meteorology. 175:203-235
Recent research indicates that non-orthogonal sonic anemometers underestimate vertical wind velocity and consequently eddy-covariance fluxes of mass and energy. Whether this is a general problem among all non-orthogonal sonic anemometers, including t
Autor:
Zutao Ouyang, Sébastien C. Biraud, Xiangzhong Luo, Hideki Kobayashi, Masahito Ueyama, Marcy E. Litvak, Andrew E. Suyker, Walter C. Oechel, Gregory Starr, Peter D. Blanken, Andrew D. Richardson, Prajaya Prajapati, Asko Noormets, Steven F. Oberbauer, Russell L. Scott, Sara H. Knox, Eric S. Russell, John F. Knowles, Ankur R. Desai, Sigrid Dengel, John A. Gamon, Rodrigo Vargas, Elise Pendall, Shirley A. Papuga, Hiroki Iwata, Margaret S. Torn, Ralf M. Staebler, Jiquan Chen, David Durden, Timothy J. Arkebauer, Jitendra Kumar, Heping Liu, Gil Bohrer, Tomer Duman, Paul C. Stoy, William L. Quinton, Inke Forbrich, Nathaniel A. Brunsell, Ryan C. Sullivan, Rosvel Bracho, Elyn Humphreys, Kimberly A. Novick, Jeffrey D. Wood, Christopher M. Gough, Hiroki Ikawa, Xuhui Lee, Carl J. Bernacchi, Yang Ju, Silvano Fares, W. Stephen Chan, Oliver Sonnentag, Housen Chu, T. Andrew Black, P. Y. Oikawa, David Y. Hollinger, Timothy J. Griffis, Donatella Zona, Xingyuan Chen, Stefan Metzger, D. P. Billesbach, Thomas Kolb, Manuel Helbig, Dennis D. Baldocchi, Beverly E. Law, Shannon E. Brown, M. Altaf Arain, John H. Prueger, Kenneth L. Clark, Ellen Stuart-Haëntjens, J. William Munger
Publikováno v:
Agricultural and forest meteorology
301-302 (2021). doi:10.1016/j.agrformet.2021.108350
info:cnr-pdr/source/autori:Chu H.; Luo X.; Ouyang Z.; Chan W.S.; Dengel S.; Biraud S.C.; Torn M.S.; Metzger S.; Kumar J.; Arain M.A.; Arkebauer T.J.; Baldocchi D.; Bernacchi C.; Billesbach D.; Black T.A.; Blanken P.D.; Bohrer G.; Bracho R.; Brown S.; Brunsell N.A.; Chen J.; Chen X.; Clark K.; Desai A.R.; Duman T.; Durden D.; Fares S.; Forbrich I.; Gamon J.A.; Gough C.M.; Griffis T.; Helbig M.; Hollinger D.; Humphreys E.; Ikawa H.; Iwata H.; Ju Y.; Knowles J.F.; Knox S.H.; Kobayashi H.; Kolb T.; Law B.; Lee X.; Litvak M.; Liu H.; Munger J.W.; Noormets A.; Novick K.; Oberbauer S.F.; Oechel W.; Oikawa P.; Papuga S.A.; Pendall E.; Prajapati P.; Prueger J.; Quinton W.L.; Richardson A.D.; Russell E.S.; Scott R.L.; Starr G.; Staebler R.; Stoy P.C.; Stuart-Haentjens E.; Sonnentag O.; Sullivan R.C.; Suyker A.; Ueyama M.; Vargas R.; Wood J.D.; Zona D./titolo:Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites/doi:10.1016%2Fj.agrformet.2021.108350/rivista:Agricultural and forest meteorology (Print)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:301-302
301-302 (2021). doi:10.1016/j.agrformet.2021.108350
info:cnr-pdr/source/autori:Chu H.; Luo X.; Ouyang Z.; Chan W.S.; Dengel S.; Biraud S.C.; Torn M.S.; Metzger S.; Kumar J.; Arain M.A.; Arkebauer T.J.; Baldocchi D.; Bernacchi C.; Billesbach D.; Black T.A.; Blanken P.D.; Bohrer G.; Bracho R.; Brown S.; Brunsell N.A.; Chen J.; Chen X.; Clark K.; Desai A.R.; Duman T.; Durden D.; Fares S.; Forbrich I.; Gamon J.A.; Gough C.M.; Griffis T.; Helbig M.; Hollinger D.; Humphreys E.; Ikawa H.; Iwata H.; Ju Y.; Knowles J.F.; Knox S.H.; Kobayashi H.; Kolb T.; Law B.; Lee X.; Litvak M.; Liu H.; Munger J.W.; Noormets A.; Novick K.; Oberbauer S.F.; Oechel W.; Oikawa P.; Papuga S.A.; Pendall E.; Prajapati P.; Prueger J.; Quinton W.L.; Richardson A.D.; Russell E.S.; Scott R.L.; Starr G.; Staebler R.; Stoy P.C.; Stuart-Haentjens E.; Sonnentag O.; Sullivan R.C.; Suyker A.; Ueyama M.; Vargas R.; Wood J.D.; Zona D./titolo:Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites/doi:10.1016%2Fj.agrformet.2021.108350/rivista:Agricultural and forest meteorology (Print)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:301-302
Large datasets of greenhouse gas and energy surface-atmosphere fluxes measured with the eddy-covariance technique (e.g., FLUXNET2015, AmeriFlux BASE) are widely used to benchmark models and remote-sensing products. This study addresses one of the maj
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf3b9c25b9cbb3182501de3310cbbf98
https://eprints.whiterose.ac.uk/171798/1/1-s2.0-S0168192321000332-main.pdf
https://eprints.whiterose.ac.uk/171798/1/1-s2.0-S0168192321000332-main.pdf
Autor:
Kenneth J. Davis, Elizabeth A. Burakowski, Russell L. Scott, David A. Rahn, Sean P. Burns, Paul C. Stoy, Manuel Helbig, Tirtha Banerjee, E. Beamesderfer, W. Stephen Chan, Dennis D. Baldocchi, Jordi Vilà-Guerau de Arellano, Sonia Wharton, David Y. Hollinger, Natascha Kljun, Sébastien C. Biraud, Nathaniel A. Brunsell, Jose D. Fuentes, John M. Perkins, Camilo Rey-Sanchez, Brian J. Butterworth, Bijan Seyednasrollah, Kimberly A. Novick, Matthias Mauder, William O. J. Brown, Ankur R. Desai, Ryan C. Sullivan, Andrew D. Richardson, Chuixiang Yi, Joseph A. Santanello, T. Gerken
Publikováno v:
Agricultural and Forest Meteorology 307 (2021)
Agricultural and Forest Meteorology, 307
Agricultural and Forest Meteorology, 307
The atmospheric boundary layer mediates the exchange of energy, matter, and momentum between the land surface and the free troposphere, integrating a range of physical, chemical, and biological processes and is defined as the lowest layer of the atmo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::354afb4ddcfa6bb4906cd8cec4a0d3d8
https://research.wur.nl/en/publications/integrating-continuous-atmospheric-boundary-layer-and-tower-based
https://research.wur.nl/en/publications/integrating-continuous-atmospheric-boundary-layer-and-tower-based
Publikováno v:
Journal of Geophysical Research: Biogeosciences. 117
[1] Terrestrial ecosystem-atmosphere exchange of carbon, water vapor, and energy has been measured for over a decade at many sites globally. To minimize measurement and analysis errors, quality assurance data have been collected over short periods al
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