Eddy covariance measurements of water vapor and CO2 fluxes above the Erhai Lake

2014 ◽  
Vol 58 (3) ◽  
pp. 317-328 ◽  
Author(s):  
HuiZhi Liu ◽  
JianWu Feng ◽  
JiHua Sun ◽  
Lei Wang ◽  
AnLun Xu
Keyword(s):  
Water Vapor ◽  
Eddy Covariance ◽  
Erhai Lake ◽  
Co2 Fluxes ◽  
Eddy Covariance Measurements

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

Mapping CO2 fluxes of cypress swamp and marshes in the Greater Everglades using eddy covariance measurements and Landsat data

2021 ◽  
Vol 262 ◽  
pp. 112523
Author(s):  
Caiyun Zhang ◽  
David Brodylo ◽  
Matthew J. Sirianni ◽  
Tiantian Li ◽  
Xavier Comas ◽  
...  
Keyword(s):  
Eddy Covariance ◽  
Landsat Data ◽  
Co2 Fluxes ◽  
Cypress Swamp ◽  
Eddy Covariance Measurements

scholarly journals Tower and Aircraft Eddy Covariance Measurements of Water Vapor, Energy, and Carbon Dioxide Fluxes during SMACEX

2005 ◽  
Vol 6 (6) ◽  
pp. 954-960 ◽  
Author(s):  
J. H. Prueger ◽  
J. L. Hatfield ◽  
T. B. Parkin ◽  
W. P. Kustas ◽  
L. E. Hipps ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Water Vapor ◽  
Eddy Covariance ◽  
Spatial And Temporal Variability ◽  
Co2 Fluxes ◽  
Sensible Heat ◽  
Carbon Dioxide Fluxes ◽  
Crop Growth Stage ◽  
Aircraft Flux Measurements ◽  
Carbon Dioxide Co2

Abstract A network of eddy covariance (EC) and micrometeorological flux (METFLUX) stations over corn (Zea mays L.) and soybean [Glycine max (L.) Merr.] canopies was established as part of the Soil Moisture–Atmosphere Coupling Experiment (SMACEX) in central Iowa during the summer of 2002 to measure fluxes of heat, water vapor, and carbon dioxide (CO2) during the growing season. Additionally, EC measurements of water vapor and CO2 fluxes from an aircraft platform complemented the tower-based measurements. Sensible heat, water vapor, and CO2 fluxes showed the greatest spatial and temporal variability during the early crop growth stage. Differences in all of the energy balance components were detectable between corn and soybean as well as within similar crops throughout the study period. Tower network–averaged fluxes of sensible heat, water vapor, and CO2 were observed to be in good agreement with area-averaged aircraft flux measurements.

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