Scintillometer networks for calibration and validation of energy balance and soil moisture remote sensing algorithms

Hendrickx, Jan M. H.; Kleissl, Jan; Vélez, Jesús D. Gómez; Hong, Sung-Ho; Duque, José R. Fábrega; Vega, David; Ramírez, Hernán A. Moreno; Ogden, Fred L.

doi:10.1117/12.718124

Cited by 9 publications

(7 citation statements)

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“…Field measurements of sensible heat (H) and latent heat (L v E) are also crucial for the validation of remote sensing surface heat flux products (Brunsell et al, 2011;Fritschen et al, 1992;Jung et al, 2009;Kite and Droogers, 2000). and remotely sensed surface heat flux products (Hemakumara et al, 2003;Hendrickx et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

A comparison of optical and microwave scintillometers with eddy covariance derived surface heat fluxes

Yee

Pauwels

Daly

et al. 2015

Agricultural and Forest Meteorology

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Section: Introductionmentioning

confidence: 99%

A comparison of optical and microwave scintillometers with eddy covariance derived surface heat fluxes

Yee

Pauwels

Daly

et al. 2015

Agricultural and Forest Meteorology

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“…However, LASs are quickly gaining wide acceptance (Poggio et al 2000;Nakaya et al 2007;Asanuma and Iemoto 2007)-e.g. 12 LASs are in operation in Texas, New Mexico (Hendrickx et al 2007), and California, U.S.A. LASs would also be an integral part of proposed US hydrologic observatory efforts (John Wilson, New Mexico Tech, personal communication, 2007) and may present a unique opportunity for data assimilation of surface fluxes into mesoscale meteorological models. Consequently, there is a clear need for establishing the accuracy of LASs.…”

mentioning

confidence: 98%

“…Since the footprint area of a large aperture scintillometer (LAS) measurement is larger (up to 5000 m in one dimension) and its spatial extent better constrained than that of EC systems, LASs offer the unique possibility of measuring the vertical flux of sensible heat averaged over areas comparable to one or more pixels of a satellite image or mesoscale numerical weather model (Hemakumara et al 2003;Schüttemeyer 2005;Hafeez et al 2006;Hendrickx et al 2007). A LAS receiver measures intensity fluctuations in the radiation I emitted by the transmitter at a distance of 500-5000 m to derive the structure parameter of temperature, C 2 T [K 2 m −2/3 ].…”

mentioning

confidence: 99%

Large Aperture Scintillometer Intercomparison Study

Kleissl

Gómez-Díaz

Hong

et al. 2008

Boundary-Layer Meteorol

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Two field studies with six large aperture scintillometers (LASs) were performed using horizontal and slant paths. The accuracy of this novel and increasingly popular technique for measuring sensible heat fluxes was quantified by comparing measurements from different instruments over nearly identical transects. Random errors in LAS measurements were small, since correlation coefficients between adjacent measurements were greater than 0.995. However, for an ideal set-up differences in linear regression slopes of up to 21% were observed with typical inter-instrument differences of 6%. Differences of 10% are typical in more realistic measurement scenarios over homogeneous natural vegetation and different transect heights and locations. Inaccuracies in the optics, which affect the effective aperture diameter, are the most likely explanation for the observed differences.

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“…Knowledge of soil thermal properties and regimes is necessary information for the prediction of the temporal dynamics of the spatial distributions of Cn 2 profiles in the atmospheric boundary layer. Relationships between soil surface temperatures, sensible heat fluxes, and Cn 2 have been measured and evaluated using scintillometers and remote sensing by the research group of the senior author [10][11][12]. This study is an important part of these other ongoing investigations that aim at estimating all components of the energy balance under clear, partly cloudy, and overcast conditions using satellite imagery.…”

Section: Introductionmentioning

confidence: 99%

Global prediction of thermal soil regimes

et al. 2008

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A thorough understanding of thermal soil regimes is critical information for a wide variety of disciplines and engineering applications as well as for the evaluation of potential and limitations of thermal and optical sensors. In this study we have developed a procedure for the evaluation of global thermal soil regimes. First, pedotransfer functions are used to derive thermal soil properties (volumetric soil heat capacity and thermal conductivity) from readily available soil data on texture, bulk density, and organic carbon. Next, the average annual soil temperature is derived from the average annual air temperature. Then, the thermal top boundaries are derived either for well-watered sites using the daily and annual air temperature amplitudes as proxies for the daily and annual soil surface temperature amplitudes or for a wide range of environmental conditions using the model HYDRUS1D. A thorough validation of the proposed procedure is needed for the quantification of the probability with which soil thermal regimes can be predicted.

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Scintillometer networks for calibration and validation of energy balance and soil moisture remote sensing algorithms

Cited by 9 publications

References 0 publications

A comparison of optical and microwave scintillometers with eddy covariance derived surface heat fluxes

A comparison of optical and microwave scintillometers with eddy covariance derived surface heat fluxes

Large Aperture Scintillometer Intercomparison Study

Global prediction of thermal soil regimes

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