LES Study of the Energy Imbalance Problem with Eddy Covariance Fluxes
By M. Kanda, A. Inagaki, M. Letzel, Siegfried Raasch, Tsutomu Watanabe. 2004
242 citations recorded by the source corpus.
Subfields: Atmospheric Science, Environmental Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/739b6c870856aecaab6b8d5dd37a8294f8244d96
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- T. Foken
- Matthias Mauder
- E. Patton
- S. Salesky
- P. Sullivan
- Jeremy A. Gibbs
- William Anderson
- Rob Stoll
In Environmental Engineering
In Global and Planetary Change
Citations in the corpus
- Overview of the PALM model system 6.0 (2019, background): “…grid spacings on the order of 100 m (Deardorff, 1970, 1973), today’s supercomputers allow for large domain runs at fine grid spacings of 1–10 m (e.g., Kanda et al., 2004; Raasch and Franke, 2011; Sullivan and Patton, 2011, among many others) or even less (Sullivan et al., 2016; Maronga and Reuder,…”
- A Simple Energy Balance Model for Regular Building Arrays (2005, methodology): “…heat fluxes at each surface GðiÞ need to be measured, mainly because the energy balance residual (net radiation minus the turbulent fluxes) cannot be used in place of the conductive flux measurements, due to the energy imbalance problem with the eddy covariance method (e.g. Kanda et al., 2004a).”
- The Parallelized Large-Eddy Simulation Model (PALM) version 4.0 for atmospheric and oceanic flows: model formulation, recent developments, and future perspectives (2015, background): “…also been used several times to evaluate in situ measurement systems and strategies, e.g., for acoustic tomography, eddy co-variance measurements, airborne flux observations, and scin-tillometers (e.g., Weinbrecht et al., 2004; Kanda et al., 2004; Sühring and Raasch, 2013; Maronga et al., 2013b).”
- Corrections and data quality control (2012, methodology): “2003; Mauder and Foken 2006) or spatially averaged fluxes (Kanda et al. 2004; Inagaki et al. 2006; Steinfeld et al. 2007) could close the energy balance.”
- The energy balance closure problem: an overview. (2008, background): “2003) or spatially averaged fluxes including turbulent organized structures (Kanda et al. 2004) can close the energy balance.”
- The Influence of Idealized Heterogeneity on Wet and Dry Planetary Boundary Layers Coupled to the Land Surface. (2005, background): “Kanda et al. (2004) and others have suggested that forcing time-averaged w to zero can bias point measurements even under horizon-FIG. 13. Vertical profiles of normalized vertical flux of water vapor mixing ratio (wq wq)/(w**) for both the”
- A data-driven analysis of energy balance closure across FLUXNET research sites: The role of landscape-scale heterogeneity (2013, background): “Accounting for turbulent organized structures (Badiya Roy and Avissar, 2002; Kanda et al., 2004; Steinfeld et al., 2007) may improve energy balance closure if simple parameterizations can be found.”
- Roughness Lengths for Momentum and Heat Derived from Outdoor Urban Scale Models (2007, background): “The surface energy balance in this experiment did not close, that is, the observed net radiation minus the conductive heat flux did not equal the sum of the sensible and latent heat fluxes (Kanda et al. 2004).”
- Processing and quality control of flux data during LITFASS-2003 (2006, background): “The presence of very low-frequency flux contributions, especially in complex and heterogeneous terrain, is discussed in several studies (e.g. Sakai et al. 2001; Finnigan et al. 2003; Kanda et al. 2004; Mahli et al. 2004) and is the most likely explanation for the lack of energy balance closure durin”
- Large-Eddy Simulation of the Atmospheric Boundary Layer (2020, methodology): “Kanda et al. (2004b) showed that the streamwise wavelength of coherent structures at the urban canopy top was λx/H ≈ 5 for sparsely spaced cuboids (larger than what is found in vegetation canopies), and increases with increasing plan area fraction λp .”