Les study of the energy imbalance problem with eddy covariance fluxes

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Manabu Kanda
  • Atsushi Inagaki
  • Marcus Oliver Letzel
  • Siegfried Raasch
  • Tsutomu Watanabe

Externe Organisationen

  • Tokyo Institute of Technology
  • Forestry and Forest Products Research Institute (FFPRI), Japan
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Details

OriginalspracheEnglisch
Seiten (von - bis)381-404
Seitenumfang24
FachzeitschriftBoundary-Layer Meteorology
Jahrgang110
Ausgabenummer3
PublikationsstatusVeröffentlicht - März 2004

Abstract

The spatial representativeness of heat fluxes on the basis of single-tower measurements, and the mechanism of the so-called energy imbalance problem, are investigated through numerical experiments using large-eddy simulation (LES). LES experiments are done for the daytime atmospheric boundary layer heated over a flat surface, as a best-case scenario completely free of sensor errors and the uncertainties of field conditions. Imbalance is defined as the deviation of the 'turbulent' heat flux at a grid point from the horizontally averaged 'total' heat flux. Both the theoretical and numerical results of the present study suggest the limitation of single-tower measurements and the necessity of horizontally-distributed observation networks. The temporally averaged 'turbulent' flux based on a point measurement systematically underestimates the 'total' flux (negative imbalance). This is attributed to local advection effects caused by the existence of turbulent organized structures (TOS), whose time scale is much longer than that of thermal plumes. The temporal and spatial change of TOS patterns causes low-frequency trends in the velocity and temperature data resulting in large scatter of the flux estimates. The influences of geostrophic wind speed, averaging time, observation height, computational domain size and resolution on tower-measured fluxes are also discussed. Finally, it is suggested that a weak inhomogenity in surface heating may reduce the negative bias of flux estimates.

ASJC Scopus Sachgebiete

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Les study of the energy imbalance problem with eddy covariance fluxes. / Kanda, Manabu; Inagaki, Atsushi; Letzel, Marcus Oliver et al.
in: Boundary-Layer Meteorology, Jahrgang 110, Nr. 3, 03.2004, S. 381-404.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Kanda, M, Inagaki, A, Letzel, MO, Raasch, S & Watanabe, T 2004, 'Les study of the energy imbalance problem with eddy covariance fluxes', Boundary-Layer Meteorology, Jg. 110, Nr. 3, S. 381-404. https://doi.org/10.1023/B:BOUN.0000007225.45548.7a
Kanda M, Inagaki A, Letzel MO, Raasch S, Watanabe T. Les study of the energy imbalance problem with eddy covariance fluxes. Boundary-Layer Meteorology. 2004 Mär;110(3):381-404. doi: 10.1023/B:BOUN.0000007225.45548.7a
Kanda, Manabu ; Inagaki, Atsushi ; Letzel, Marcus Oliver et al. / Les study of the energy imbalance problem with eddy covariance fluxes. in: Boundary-Layer Meteorology. 2004 ; Jahrgang 110, Nr. 3. S. 381-404.
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title = "Les study of the energy imbalance problem with eddy covariance fluxes",
abstract = "The spatial representativeness of heat fluxes on the basis of single-tower measurements, and the mechanism of the so-called energy imbalance problem, are investigated through numerical experiments using large-eddy simulation (LES). LES experiments are done for the daytime atmospheric boundary layer heated over a flat surface, as a best-case scenario completely free of sensor errors and the uncertainties of field conditions. Imbalance is defined as the deviation of the 'turbulent' heat flux at a grid point from the horizontally averaged 'total' heat flux. Both the theoretical and numerical results of the present study suggest the limitation of single-tower measurements and the necessity of horizontally-distributed observation networks. The temporally averaged 'turbulent' flux based on a point measurement systematically underestimates the 'total' flux (negative imbalance). This is attributed to local advection effects caused by the existence of turbulent organized structures (TOS), whose time scale is much longer than that of thermal plumes. The temporal and spatial change of TOS patterns causes low-frequency trends in the velocity and temperature data resulting in large scatter of the flux estimates. The influences of geostrophic wind speed, averaging time, observation height, computational domain size and resolution on tower-measured fluxes are also discussed. Finally, it is suggested that a weak inhomogenity in surface heating may reduce the negative bias of flux estimates.",
keywords = "Convective boundary layer, Eddy covariance method, Imbalance problem, LES, Spatial representativeness of flux, Surface heterogeneity",
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TY - JOUR

T1 - Les study of the energy imbalance problem with eddy covariance fluxes

AU - Kanda, Manabu

AU - Inagaki, Atsushi

AU - Letzel, Marcus Oliver

AU - Raasch, Siegfried

AU - Watanabe, Tsutomu

N1 - Funding Information: This research was supported by CREST (Core Research for Evaluation Science and Technology) of Japan Science and Technology Cooperation, the German National Merit Foundation and Grants 07ATF37-UH and 01LD0103 from the Federal Ministry of Education and Research, Germany. The calculations were performed on the SGI Origin 2000 of the Tokyo Institute of Technology, Japan. The authors wish to thank R. Moriwaki (Tokyo Institute of Technology, Japan) and J. Asanuma (Tsukuba University) for their useful scientific comments and K. Ketelsen (ZIB, Berlin, Germany) and Y. Jono (SGI, Tokyo, Japan) for their technical support.

PY - 2004/3

Y1 - 2004/3

N2 - The spatial representativeness of heat fluxes on the basis of single-tower measurements, and the mechanism of the so-called energy imbalance problem, are investigated through numerical experiments using large-eddy simulation (LES). LES experiments are done for the daytime atmospheric boundary layer heated over a flat surface, as a best-case scenario completely free of sensor errors and the uncertainties of field conditions. Imbalance is defined as the deviation of the 'turbulent' heat flux at a grid point from the horizontally averaged 'total' heat flux. Both the theoretical and numerical results of the present study suggest the limitation of single-tower measurements and the necessity of horizontally-distributed observation networks. The temporally averaged 'turbulent' flux based on a point measurement systematically underestimates the 'total' flux (negative imbalance). This is attributed to local advection effects caused by the existence of turbulent organized structures (TOS), whose time scale is much longer than that of thermal plumes. The temporal and spatial change of TOS patterns causes low-frequency trends in the velocity and temperature data resulting in large scatter of the flux estimates. The influences of geostrophic wind speed, averaging time, observation height, computational domain size and resolution on tower-measured fluxes are also discussed. Finally, it is suggested that a weak inhomogenity in surface heating may reduce the negative bias of flux estimates.

AB - The spatial representativeness of heat fluxes on the basis of single-tower measurements, and the mechanism of the so-called energy imbalance problem, are investigated through numerical experiments using large-eddy simulation (LES). LES experiments are done for the daytime atmospheric boundary layer heated over a flat surface, as a best-case scenario completely free of sensor errors and the uncertainties of field conditions. Imbalance is defined as the deviation of the 'turbulent' heat flux at a grid point from the horizontally averaged 'total' heat flux. Both the theoretical and numerical results of the present study suggest the limitation of single-tower measurements and the necessity of horizontally-distributed observation networks. The temporally averaged 'turbulent' flux based on a point measurement systematically underestimates the 'total' flux (negative imbalance). This is attributed to local advection effects caused by the existence of turbulent organized structures (TOS), whose time scale is much longer than that of thermal plumes. The temporal and spatial change of TOS patterns causes low-frequency trends in the velocity and temperature data resulting in large scatter of the flux estimates. The influences of geostrophic wind speed, averaging time, observation height, computational domain size and resolution on tower-measured fluxes are also discussed. Finally, it is suggested that a weak inhomogenity in surface heating may reduce the negative bias of flux estimates.

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KW - Eddy covariance method

KW - Imbalance problem

KW - LES

KW - Spatial representativeness of flux

KW - Surface heterogeneity

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EP - 404

JO - Boundary-Layer Meteorology

JF - Boundary-Layer Meteorology

SN - 0006-8314

IS - 3

ER -