Parameterizing daytime downward longwave radiation in two Korean regional flux monitoring network sites

Choi, Minha

doi:10.1016/j.jhydrol.2012.10.041

Cited by 16 publications

(15 citation statements)

References 31 publications

(101 reference statements)

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“…In general, the Brutsaert model was determined to be the most applicable model considering statistical errors, A, B, and R 2 values, which were well-supported by several previous studies (Sridhar and Elliott 2002;Duarte et al 2006;Kjaersgaard et al 2007;Choi et al 2008;Choi 2013). In the case of the Satterlund model the statistical errors were slightly lower than those from the Brutsaert and Prata models.…”

Section: R Ld From Flux Towerssupporting

confidence: 80%

“…The Bias and RMSE were -17.03 and 31.71 W m -2 at the SMK site, and 10.79 and 20.70 W m -2 at the CFK site, respectively. For these results the Abramowitz model demonstrated the best performance compared to the other models (Choi 2013). Choi (2013) estimated point-based daytime R ld by various physical or empirical models at two Korean regional flux sites and introduced performances of the Abramowitz model.…”

Section: R Ld From Flux Towersmentioning

confidence: 96%

“…For these results the Abramowitz model demonstrated the best performance compared to the other models (Choi 2013). Choi (2013) estimated point-based daytime R ld by various physical or empirical models at two Korean regional flux sites and introduced performances of the Abramowitz model. The bias and RMSE were -9.5 and 29.6 W m -2 at the Gwangneung (GDK) site, and 1.3 and 28.5 W m -2 at the Haenam (HFK) site, respectively.…”

Section: R Ld From Flux Towersmentioning

confidence: 96%

“…The regression slope and intercept values were relatively lower and higher, respectively, than the other model. While Choi (2013) conducted only point-scaled R ld , we performed satellite-based (gridded-scaled) R ld spatial mapping. For this reason, we conducted by this study a first step to determining the applicability of grid-scaled various R ld models, including the Abramowitz model, for spatial analysis in Northeast Asia.…”

Section: R Ld From Flux Towersmentioning

confidence: 99%

See 3 more Smart Citations

Satellite Based Downward Long Wave Radiation by Various Models in Northeast Asia

Sur¹,

Kim²,

Choi³

2014

Terr. Atmos. Ocean. Sci.

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Satellite-based downward long wave radiation measurement under clear sky conditions in Northeast Asia was conducted using five well-known physical models (Brunt 1932, Idso and Jackson 1969, Brutsaert 1975, Satterlund 1979, Prata 1996 with a newly proposed global R ld model (Abramowitz et al. 2012). Data from two flux towers in South Korea were used to validate downward long wave radiation. Moderate resolution imaging spectroradiometer (MODIS) atmospheric profile products were used to develop the R ld models. The overall root mean square error (RMSE) of MODIS R ld with respect to two ecosystem-type flux towers was determined to be ≈ 20 W m -2 . Based on the statistical analyses, MODIS R ld estimates with Brutsaert (1975) and Abramowitz et al. (2012) models were the most applicable for evaluating R ld for clear sky conditions in Northeast Asia. The Abramowitz R ld maps with MODIS T a and e a showed reasonable seasonal patterns, which were wellaligned with other biophysical variables reported by previous studies. The MODIS R ld map developed in this study will be very useful for identifying spatial patterns that are not detectable from ground-based R ld measurement sites.

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Section: R Ld From Flux Towerssupporting

confidence: 80%

Section: R Ld From Flux Towersmentioning

confidence: 96%

Section: R Ld From Flux Towersmentioning

confidence: 96%

Section: R Ld From Flux Towersmentioning

confidence: 99%

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Satellite Based Downward Long Wave Radiation by Various Models in Northeast Asia

Sur¹,

Kim²,

Choi³

2014

Terr. Atmos. Ocean. Sci.

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“…In this study, the FluxPro program (Hong et al 2009) was used for data QC measured from the flux tower. The FluxPro program has been widely used for successful QC in various studies, because it contains standardized QC steps (i.e., Coordinate rotation, air density correction, and spike detection) by adapting QC steps proposed by FLUXNET to KoFlux datasets (Choi 2013;Choi et al 2010;Hong et al 2008Hong et al , 2009Hong et al , 2014. For coordinate rotation, the FluxPro program adopts the planar fit rotation (PFR) which is recommended in complex terrain (Lee et al 2006;Wilczak et al 2001).…”

Section: Preparation Of Eddy Covariance Datamentioning

confidence: 99%

Evaluation of statistical gap fillings for continuous energy flux (evapotranspiration) measurements for two different land cover types

Park

Byun

Choi

et al. 2015

Stoch Environ Res Risk Assess

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Over the past few decades, energy and water fluxes have been directly measured by a global flux network, which was established by regional and continental network sites based on an eddy covariance (EC) method. Although, the EC method possesses many advantages, its typical data coverage could not exceed 65 % due to various environmental factors including micrometeorological conditions and systematic malfunctions. In this study, four different methodologies were used to fill the gap in latent heat flux (LE) data. These methods were Food and Agriculture Organization Penman-Monteith (FAO_PM) equation, mean diurnal variation (MDV), Kalman filter, and dynamic linear regression (DLR). We used these methods to evaluate two flux towers at different land cover types located at Seolmacheon (SMC) and Cheongmicheon (CMC) in Korea. The LE estimated by four different approaches was a fairly close match to the observed LE, with the root mean square error ranging from 4.81 to 61.88 W m -2 at SMC and from 0.89 to 60.27 W m -2 at CMC. At both sites, the LE estimated by DLR showed the best result with the value of the coefficient of correlation (R), equal to 0.99. Cost-effectiveness analysis for evaluating four different gap-filling methods also confirmed that DLR showed the best cost effectiveness ratio (C/ R). The Kalman filter showed the second highest C/R rank except in the winter season at SMC followed by MDV and FAO_PM. Energy closures with estimated LE led to further improved compare to the energy closure of the observed LE. The results showed that the estimated LE at CMC was a better fit with the observed LE than the estimated LE at SMC due to the more complicated topography and land cover at the SMC site. This caused more complex interactions between the surface and the atmosphere. The estimated LE with all approaches used in this study showed improvement in energy closure at both sites. The results of this study suggest that each method can be used as a gap-filling model for LE. However, it is important to consider the strengths and weaknesses of each method, the purpose of research, characteristics of the study site, study period and data availability.

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Surface energy fluxes in the Northeast Asia ecosystem: SEBS and METRIC models using Landsat satellite images

Liaqat

Choi

2015

Agricultural and Forest Meteorology

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Parameterizing daytime downward longwave radiation in two Korean regional flux monitoring network sites

Cited by 16 publications

References 31 publications

Satellite Based Downward Long Wave Radiation by Various Models in Northeast Asia

Satellite Based Downward Long Wave Radiation by Various Models in Northeast Asia

Evaluation of statistical gap fillings for continuous energy flux (evapotranspiration) measurements for two different land cover types

Surface energy fluxes in the Northeast Asia ecosystem: SEBS and METRIC models using Landsat satellite images

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