Aquatic Biogeochemical Eddy Covariance Fluxes in the Presence of Waves
Aquatic Biogeochemical Eddy Covariance Fluxes in the Presence of Waves
复制标题
波浪存在下的水生生物地球化学涡度协方差通量
DOI:
10.1029/2020jc016637
复制
发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Long, Matthew H.
中科院分区:
文献类型:
--
作者:
Long, Matthew H.
The eddy covariance (EC) technique is a powerful tool for measuring atmospheric exchange rates that was recently adapted by biogeochemists to measure aquatic oxygen fluxes. A review of aquatic biogeochemical EC literature revealed that the majority of studies were conducted in shallow waters where waves were likely present, and that waves biased sensor and turbulence measurements. This review identified that larger measurement heights shifted turbulence to lower frequencies, producing a spectral gap between turbulence and wave frequencies. However, some studies sampled too close to the boundary to allow for a spectral turbulence‐wave gap, and a change in how EC measurements are conducted and analyzed is needed to remove wave‐bias. EC fluxes have only been derived from the time‐averaged product of vertical velocity and oxygen, often resulting in wave‐bias. Presented is a new analysis framework for removing wave‐bias by accumulation of cross‐power spectral densities below wave frequencies. This analysis framework also includes new measurement guidelines based on wave period, currents, and measurement heights. This framework is applied to sand, seagrass, and reef environments where traditional EC analysis resulted in wave‐bias of 7.0% ± 9.2% error in biogeochemical (oxygen and H+) fluxes, while more variable and higher error was evident in momentum fluxes (10.5% ± 21.0% error). It is anticipated that this framework will lead to significant changes in how EC measurements are conducted and evaluated, and help overcome the major limitations caused by wave‐sensitive and slow‐response sensors, potentially expanding new chemical tracer applications and more widespread use of the EC technique.
登录
查看更多内容
DOI:
--
发表时间:
2016
期刊:
影响因子:
--
作者:
C. Reimers;H. Özkan‐Haller;A. Albright;P. Berg
通讯作者:
P. Berg
影响因子:
4.5
作者:
Long, Matthew H.;Rheuban, Jennie E.;McCorkle, Daniel C.;Burdige, David J.;Zimmerman, Richard C.
通讯作者:
Zimmerman, Richard C.
影响因子:
--
作者:
C. Reimers;H. Özkan‐Haller;P. Berg;A. Devol;Kristina McCann-Grosvenor;Rhea D. Sanders
通讯作者:
C. Reimers;H. Özkan‐Haller;P. Berg;A. Devol;Kristina McCann-Grosvenor;Rhea D. Sanders
DOI:
--
发表时间:
2014
期刊:
影响因子:
--
作者:
J. Rheuban;P. Berg;K. McGlathery
通讯作者:
K. McGlathery
影响因子:
2.3
作者:
Kristina McCann;C. Reimers;Rhea D. Sanders
通讯作者:
Rhea D. Sanders