Source/sink distributions of heat, water vapour, carbon dioxide and methane in a rice canopy estimated using Lagrangian dispersion analysis

Leuning, R.; Denmead, O. T.; Miyata, Akira; Kim, J

doi:10.1016/s0168-1923(00)00158-1

Cited by 70 publications

(74 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Warland and Thurtell (2000) successfully applied their model to inhomogeneous turbulence with σ w replaced by its layer value σ wi and L L replaced by the average value (L Li + L Lj )/2, where j is the source layer. Numerical simulations and field tests of the LNF (Katul et al 1997;Denmead et al 2000;Harper et al 2000;Leuning et al 2000;Siqueira et al 2000) and WT (Hsieh et al 2003;Qiu et al 2006) have confirmed that such an approximation is valid.…”

Section: Derivation Of Modelmentioning

confidence: 89%

“…Since the measured Eulerian length scales in this wind-tunnel experiment were larger than those of other experiments ), the Lagrangian time scale was parameterized in this calculation following Leuning et al (2000) for neutral conditions. The parameterized non-dimensional Lagrangian time scale is plotted in Leuning et al (2000), Raupach (1989b) and measured values ), respectively Raupach (1989b).…”

Section: Comparison With In-canopy Sourcementioning

confidence: 99%

“…The parameterized non-dimensional Lagrangian time scale is plotted in Leuning et al (2000), Raupach (1989b) and measured values ), respectively Raupach (1989b). Model results using the above three length scale options were calculated.…”

Section: Comparison With In-canopy Sourcementioning

confidence: 99%

“…Model results using the above three length scale options were calculated. Results using the measured Lagrangian length scale and the one adopted by Raupach (1989b) were less satisfactory (result not shown), and so, the parameterized length scale of Leuning et al (2000) was used in the following calculations.…”

Section: Comparison With In-canopy Sourcementioning

confidence: 99%

See 3 more Smart Citations

A Lagrangian Solution to the Relationship between Source Strength and Concentration Profile Under Conditions of Local Advection

Qiu

Warland

2006

Boundary-Layer Meteorol

View full text Add to dashboard Cite

We propose a two-dimensional Lagrangian analytical solution for relating source strength and concentration profiles within and above a plant canopy. The new solution describes passive scalar dispersion under conditions of local advection through a fetch correction function in a one-dimensional Lagrangian analytical dispersion model. The model is capable of predicting absolute concentration profiles of passive scalars for different fetches for situations in which the reference concentration is known or the background concentration is available. Tests of the model showed good agreement with measurements from field and wind-tunnel experiments.

show abstract

Section: Derivation Of Modelmentioning

confidence: 89%

Section: Comparison With In-canopy Sourcementioning

confidence: 99%

Section: Comparison With In-canopy Sourcementioning

confidence: 99%

Section: Comparison With In-canopy Sourcementioning

confidence: 99%

See 2 more Smart Citations

A Lagrangian Solution to the Relationship between Source Strength and Concentration Profile Under Conditions of Local Advection

Qiu

Warland

2006

Boundary-Layer Meteorol

View full text Add to dashboard Cite

show abstract

“…Since a number of abiotic and biotic factors such as turbulent mixing, light, water and plant life form infl uence the canopy [CO 2 ] profi les (McNaughton, 1989;Buchmann et al, 1996, Buchmann andEhleringer 1998) (Xu et al, 1999;Leuning et al, 2000). The scopes of this study are; (1) to describe the gradients of microclimatic fl uctuations, mainly during the eclipse (2) to assess canopy photosynthetic reactions to light fl uctuation in a fast changing microclimate during the eclipse by comparing the light decreasing phase and light increasing phase.…”

mentioning

confidence: 99%

Eclipse Effects on CO₂ Profile within and above Sorghum Canopy

Tominaga

Kawasaki

Yabuta

et al. 2010

Plant Production Science

View full text Add to dashboard Cite

Inferring methane fluxes at a larch forest using Lagrangian, Eulerian, and hybrid inverse models

2014

View full text Add to dashboard Cite

Measuring methane (CH 4 ) flux at upland forests is challenging due to high levels of heterogeneity in upscaling chamber measurements and the detection limits of currently available micrometeorological methods. We estimated CH 4 fluxes in an upland forest from vertical concentration profiles using three different inverse multilayer models: the Lagrangian localized near field theory, Eulerian, and hybrid Lagrangian-Eulerian models. The approach could estimate spatially representative fluxes, and use of higher gradients within canopies than above them could minimize uncertainties associated with sensor noises. Comparing fluxes by the models and measurements by the micrometeorological hyperbolic relaxed eddy accumulation and chamber methods, daytime fluxes were reasonably reproduced, but nighttime fluxes were overestimated most likely due to an underestimation of stable conditions and storage effects. The models and measurements show that the forest acted as a CH 4 sink during the study period, and the soil acted as the dominant sink. The estimated sink increased with increasing soil temperatures and decreasing soil water content. The CH 4 sink estimated during the study period were 1.5 ± 0.2 nmol m À2 s À1 by the micrometeorological method, 2.4 ± 0.5 nmol m À2 s À1 by chambers, 2.8 ± 1.1 nmol m À2 s À1 by the Lagrangian model, 2.7 ± 1.0 nmol m À2 s À1 by the Eulerian model, and 3.7 ± 2.8 nmol m À2 s À1 by the hybrid model. The performance of the Lagrangian and hybrid models increased when the CH 4 sink/source was assumed to only exist in the soil.

show abstract

Source/sink distributions of heat, water vapour, carbon dioxide and methane in a rice canopy estimated using Lagrangian dispersion analysis

Cited by 70 publications

References 38 publications

A Lagrangian Solution to the Relationship between Source Strength and Concentration Profile Under Conditions of Local Advection

A Lagrangian Solution to the Relationship between Source Strength and Concentration Profile Under Conditions of Local Advection

Eclipse Effects on CO₂ Profile within and above Sorghum Canopy

Inferring methane fluxes at a larch forest using Lagrangian, Eulerian, and hybrid inverse models

Contact Info

Product

Resources

About

Source/sink distributions of heat, water vapour, carbon dioxide and methane in a rice canopy estimated using Lagrangian dispersion analysis

Cited by 70 publications

References 38 publications

A Lagrangian Solution to the Relationship between Source Strength and Concentration Profile Under Conditions of Local Advection

A Lagrangian Solution to the Relationship between Source Strength and Concentration Profile Under Conditions of Local Advection

Eclipse Effects on CO2 Profile within and above Sorghum Canopy

Inferring methane fluxes at a larch forest using Lagrangian, Eulerian, and hybrid inverse models

Contact Info

Product

Resources

About

Eclipse Effects on CO₂ Profile within and above Sorghum Canopy