Wet surface resistance of forest canopy in monsoon Asia: Implications for eddy-covariance measurement of evapotranspiration

2012 ◽  
Vol 28 (1) ◽  
pp. 37-42 ◽  
Author(s):  
J. Hong ◽  
K. Takagi ◽  
T. Ohta ◽  
Y. Kodama
Keyword(s):  
Eddy Covariance ◽  
Surface Resistance ◽  
Forest Canopy ◽  
Monsoon Asia ◽  
Wet Surface ◽  
Eddy Covariance Measurement

scholarly journals Ecosystem fluxes of hydrogen: a comparison of flux-gradient methods

2014 ◽  
Vol 7 (9) ◽  
pp. 2787-2805 ◽  
Author(s):  
L. K. Meredith ◽  
R. Commane ◽  
J. W. Munger ◽  
A. Dunn ◽  
J. Tang ◽  
...  
Keyword(s):  
Eddy Covariance ◽  
Forest Canopy ◽  
Trace Gases ◽  
Gradient Methods ◽  
Net Ecosystem Exchange ◽  
Heat Fluxes ◽  
Sensible Heat ◽  
Flux Gradient ◽  
Harvard Forest ◽  
Flux Measurements

Abstract. Our understanding of biosphere–atmosphere exchange has been considerably enhanced by eddy covariance measurements. However, there remain many trace gases, such as molecular hydrogen (H2), that lack suitable analytical methods to measure their fluxes by eddy covariance. In such cases, flux-gradient methods can be used to calculate ecosystem-scale fluxes from vertical concentration gradients. The budget of atmospheric H2 is poorly constrained by the limited available observations, and thus the ability to quantify and characterize the sources and sinks of H2 by flux-gradient methods in various ecosystems is important. We developed an approach to make nonintrusive, automated measurements of ecosystem-scale H2 fluxes both above and below the forest canopy at the Harvard Forest in Petersham, Massachusetts, for over a year. We used three flux-gradient methods to calculate the fluxes: two similarity methods that do not rely on a micrometeorological determination of the eddy diffusivity, K, based on (1) trace gases or (2) sensible heat, and one flux-gradient method that (3) parameterizes K. We quantitatively assessed the flux-gradient methods using CO2 and H2O by comparison to their simultaneous independent flux measurements via eddy covariance and soil chambers. All three flux-gradient methods performed well in certain locations, seasons, and times of day, and the best methods were trace gas similarity for above the canopy and K parameterization below it. Sensible heat similarity required several independent measurements, and the results were more variable, in part because those data were only available in the winter, when heat fluxes and temperature gradients were small and difficult to measure. Biases were often observed between flux-gradient methods and the independent flux measurements, and there was at least a 26% difference in nocturnal eddy-derived net ecosystem exchange (NEE) and chamber measurements. H2 fluxes calculated in a summer period agreed within their uncertainty and pointed to soil uptake as the main driver of H2 exchange at Harvard Forest, with H2 deposition velocities ranging from 0.04 to 0.10 cm s−1.

Influence of Nocturnal Low-level Jets on Eddy-covariance Fluxes over a Tall Forest Canopy

2007 ◽  
Vol 126 (2) ◽  
pp. 219-236 ◽  
Author(s):  
Thara V. Prabha ◽  
Monique Y. Leclerc ◽  
Anandakumar Karipot ◽  
David Y. Hollinger ◽  
Erich Mursch-Radlgruber
Keyword(s):  
Eddy Covariance ◽  
Forest Canopy ◽  
Low Level ◽  
Low Level Jets

Effects of heat and water vapor transport on eddy covariance measurement of CO2 fluxes

1982 ◽  
Vol 23 (2) ◽  
pp. 209-222 ◽  
Author(s):  
R. Leuning ◽  
O. T. Denmead ◽  
A. R. G. Lang ◽  
E. Ohtaki
Keyword(s):  
Water Vapor ◽  
Eddy Covariance ◽  
Vapor Transport ◽  
Water Vapor Transport ◽  
Co2 Fluxes ◽  
Eddy Covariance Measurement

scholarly journals Ecosystem fluxes of hydrogen: a comparison of flux-gradient methods

2014 ◽  
Vol 7 (3) ◽  
pp. 2879-2928 ◽  
Author(s):  
L. K. Meredith ◽  
R. Commane ◽  
J. W. Munger ◽  
A. Dunn ◽  
J. Tang ◽  
...  
Keyword(s):  
Eddy Covariance ◽  
Forest Canopy ◽  
Trace Gases ◽  
Gradient Methods ◽  
Net Ecosystem Exchange ◽  
Heat Fluxes ◽  
Sensible Heat ◽  
Flux Gradient ◽  
Harvard Forest ◽  
Flux Measurements

Abstract. Our understanding of biosphere-atmosphere exchange has been considerably enhanced by eddy-covariance measurements, however there remain many trace gases, such as molecular hydrogen (H2), for which there are no suitable analytical methods to measure their fluxes by eddy covariance. In such cases, flux-gradient methods can be used to calculate ecosystem-scale fluxes from vertical concentration gradients. The budget of atmospheric H2 is poorly constrained by the limited available observations, thus the ability to quantify and characterize the sources and sinks of H2 by flux-gradient methods in various ecosystems is important. We developed an approach to make nonintrusive, automated measurements of ecosystem-scale H2 fluxes both above and below the forest canopy at the Harvard Forest in Petersham, MA for over a year. We used three flux-gradient methods to calculate the fluxes: two similarity methods that do not rely on a micrometeorological determination of the eddy diffusivity, K, based on (1) trace gases or (2) sensible heat and one flux-gradient method that (3) parameterizes K. We quantitatively assessed the flux-gradient methods on CO2 and H2O by comparison to their simultaneous independent flux measurements via eddy covariance and chambers. All three flux-gradient methods performed well in certain locations, seasons, and times of day, and the best methods were trace gas similarity above and K parameterization below the canopy. Sensible heat similarity required several independent measurements and the results were more variable, in part because those data were only available in the winter when heat fluxes and temperature gradients were small and difficult to measure. Biases were often observed between flux-gradient methods and the independent flux measurements, including at least a 26% difference in nocturnal eddy-derived Net Ecosystem Exchange (NEE) and soil chamber measurements. All flux-gradient methods used to calculate above and below canopy H2 fluxes pointed to soil uptake as the main driver of H2 exchange at Harvard Forest. H2 fluxes calculated in a summer period agreed within their uncertainty and indicated that H2 deposition velocities ranged from 0.04 to 0.1 cm s−1.

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