2007
DOI: 10.1016/j.jhydrol.2006.07.029
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Variance methods to estimate regional heat fluxes with aircraft measurements in the convective boundary layer

Abstract: Turbulence data obtained by aircraft observations in the convective boundary layer (CBL) were analyzed to 5 estimate the regional surface heat fluxes through application of the variance methods. Several heights 6 within and above the CBL were flown repeatedly above the flux observation site in a homogeneous steppe 7 region in Mongolia. The vertical profiles of the second moment about the mean, i.e., the variance, of 8 temperature were found to follow in general the functional forms proposed in previous studies… Show more

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Cited by 6 publications
(12 citation statements)
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“…The second group traveled to all relevant RAISE sites during or shortly after each IOP to obtain data and samples such as the leaf area index (LAI), biomass, soil and spectral reflectance at all sites and fluxes at the AWS sites where fluxes were not measured constantly (Table 6). The third group used an aircraft in order to obtain variables in and above the atmospheric boundary layer (Kotani and Sugita, 2006), to make remote sensing of the surface spectral reflectance (Matsushima, 2006), and to capture water vapor samples for the isotopic analysis (Yamanaka et al, 2006). The flight passes and dates are listed in Table 7 and Fig.11.…”
Section: Intensive Observationsmentioning
confidence: 99%
See 1 more Smart Citation
“…The second group traveled to all relevant RAISE sites during or shortly after each IOP to obtain data and samples such as the leaf area index (LAI), biomass, soil and spectral reflectance at all sites and fluxes at the AWS sites where fluxes were not measured constantly (Table 6). The third group used an aircraft in order to obtain variables in and above the atmospheric boundary layer (Kotani and Sugita, 2006), to make remote sensing of the surface spectral reflectance (Matsushima, 2006), and to capture water vapor samples for the isotopic analysis (Yamanaka et al, 2006). The flight passes and dates are listed in Table 7 and Fig.11.…”
Section: Intensive Observationsmentioning
confidence: 99%
“…Kotani and Sugita (2006) indicates that there is a considerable horizontal variation, for example, in the ragne of 0.5-4.0/mm/day on a sunny summer day even though the general class of vegetation is the same grassland.…”
Section: Atmosphere-surface Interactionsmentioning
confidence: 99%
“…On the other hand, the variance (VA) method is an applicable alternative method for estimating surface fluxes from associated variance measurements (Asanuma and Brutsaert 1999;Kotani and Sugita 2007). The VA method is based on flux-variance relationships, derived using Monin−Obukhov similarity theory.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, it is still possible that some of these additional parameters play a role in the shape of the C function. Recently, Kotani and Sugita [2007] explored this idea in the formulation of the mixed layer variance similarity. Although in the past there have not been many studies on this subject, the mixed layer temperature variance σ θ scaled with the convective temperature scale T * , namely, ϕ θ = σ θ / T * has been treated as a function of h i and entrainment fluxes [e.g., Sugita and Kawakubo , 2003].…”
Section: Resultsmentioning
confidence: 99%
“…To avoid possible spurious values due to small oscillations in the radiosonde profiles, the validity of the selected height was confirmed visually on a θ versus z plot. For the RAISE data set, use was made of h i values estimated by Kotani and Sugita [2007] by applying the method of Liu and Ohtaki [1997] in which the peak frequency of the spectra of the horizontal wind speed data obtained at the surface flux station was analyzed to estimate h i .…”
Section: Methodsmentioning
confidence: 99%