낙동강 유역에서 관측된 에디 공분산 자료의 품질 관리 및 플럭스 특성
Quality Control and Characteristic of Eddy Covariance Data in the Region of Nakdong River
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참고문헌
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초록
We performed comprehensive quality control for eddy-covariance measurements from 3 farmland sites and 1 industrial site adjacent to Nakdong river. The quality control program is based on Foken and Wichura (1996) and Vicker and Mahrt (1997) and we added criteria for trend and standard deviation for scalar variables and modified criteria for nonstationarity condition of Foken and Wichura (1996) to consider random error of fluxes. The classification of data quality is designed for the raw data and the processed flux data, separately. Use of added criteria efficiently reduces the number of outlier for water vapor and CO2fluxes and use of modified criteria for non-stationarity reduces the number of outlier for scalar fluxes and increases the number of data with accepted quality for further work. Energy balance ratio is higher in farmlands than industrial site, which is due to neglect of heat storage term in industrial site. Among farmland sites, C4 site shows higher energy balance ratio than other sites. This is due to more homogeneous surface of C4 site than other farmland sites. However, energy balance ratio is very low or even negative at night. Mismatch between the flux footprint and the other energy component footprint over the heterogeneous surface is main cause for energy imbalance at night. Other possible causes are also discussed.
Abstract
We performed comprehensive quality control for eddy-covariance measurements from 3 farmland sites and 1 industrial site adjacent to Nakdong river. The quality control program is based on Foken and Wichura (1996) and Vicker and Mahrt (1997) and we added criteria for trend and standard deviation for scalar variables and modified criteria for nonstationarity condition of Foken and Wichura (1996) to consider random error of fluxes. The classification of data quality is designed for the raw data and the processed flux data, separately. Use of added criteria efficiently reduces the number of outlier for water vapor and CO2fluxes and use of modified criteria for non-stationarity reduces the number of outlier for scalar fluxes and increases the number of data with accepted quality for further work. Energy balance ratio is higher in farmlands than industrial site, which is due to neglect of heat storage term in industrial site. Among farmland sites, C4 site shows higher energy balance ratio than other sites. This is due to more homogeneous surface of C4 site than other farmland sites. However, energy balance ratio is very low or even negative at night. Mismatch between the flux footprint and the other energy component footprint over the heterogeneous surface is main cause for energy imbalance at night. Other possible causes are also discussed.
참고문헌 (21)
- Arya, S. P., "Introduction to micrometeorology" (2001), Academic Press
- Billesbach, D. P., "Estimating uncertainties in individual eddy covariance flux measurements: A comparison of methods and a proposed new method", Agric. Forest Meteor, 151, pp.394~405 (2011)
- Finkelstein, P. L., "Sampling error in eddy correlation flux measurements", J. Geophys. Res, D4(106), pp.3503~3509 (2001)
- Foken, Th, "Tools for quality assessment of surface-based flux measurements", Agric. Forest Meteor, 78, pp.83~105 (1996)
- Hollinger, D. Y, "Uncertainty in eddy covariance measurements and its application to physiological models", Tree Physol., 25, pp.873~885 (2005)
- Hong, J, "On processing raw data from micrometeorological field experiments", Korean J. Agric. Forest Meteor, 4, pp.119~126 (2002)
- 홍진규, "KoFlux 에디 공분산 자료 처리의 표준화", 한국농림기상학회지, 11(1), pp.19~26 (2009), 한국농림기상학회
- Kaimal, J. C, "Atmospheric Boundary layer flows", pp.289~ (1994), Oxford
- Lee, X, "Handbook of Micrometeorology", pp.250~ (2004), Kluwer Academic Publishers
- 임희정, "Processing and Quality Control of Flux Data at Gwangneung Forest", 한국농림기상학회지, 10(3), pp.82~93 (2008), 한국농림기상학회
- Mahrt, L., "Flux sampling errors for aircraft and towers", J. Atmos. Ocean. Technol., 15, pp.416~429 (1998)
- Mann, L., "Errors in airborne flux measurements", J. Geophys. Res, 99, pp.14519~14526 (1994)
- Mauder, M, "Quality control of CarbonEurope flux data - Part 2: Inter-comparison of eddy-covariance software", Biosci, 5, pp.451~462 (2008)
- Nordbo, A, "Revised eddy covariance flux calculation methodologies-effect on urban energy balance", Tellus B, 64, pp.18184~ (2012)
- Panin, G. N, "Inhomogeneity of the land surface and problems in the parameterization of surface fluxes in natural conditions", Theor. Appl. Climatol, 60, pp.163~178 (1998)
- Papale, D., "Towards a standardized processing of net ecosystem exchange measured with eddy covariance technique: algorithms and uncertainty estimation", Biosci, 3, pp.571~583 (2006)
- Schmid, H. P, "Source areas for scalars and scalar fluxes", Bound.-Layer Meteor, 67, pp.293~318 (1994)
- Stull, R. B., "An introduction to boundary layer meteorology", pp.670~ (1988), Kluwer Academic Publishers
- Vicker, D, "Quality control and flux sampling problems for tower and aircraft data", J. Atmos. Oceanic Tech, 14, pp.512~526 (1997)
- Webb, E. K., "Correction of flux measurements for density effects due to heat and water vapor transfer", Quart. J. Roy. Meteor. Soc, 106, pp.85~100 (1980)
- Wilson, K, "Energy balance closure at FLUXNET sites", Agric. Forest Meteor, 113, pp.223~243 (2002)
