收稿日期: 2004-01-06
修回日期: 2004-05-26
网络出版日期: 2005-05-15
Evaluating the Measurement Results of Eddy Covariance System at Two Heights Using Two Methods
Received date: 2004-01-06
Revised date: 2004-05-26
Online published: 2005-05-15
Supported by
supported by the grant of the Knowledge Innovation Programof Chinese Academy of Sciences (KZCX12SW201) and the Innovation Project of IGSNRR, CAS(CX10G2E01203205)
主要通过常规气象参数、湍流特性和能量闭合度对2套涡度相关系统的观测结果进行了比较研究.对2层高度湍流特性的研究中,以相似理论为基础,分析了垂直风速的标准差和稳定度参数zL(观测高度与莫宁霍夫长度比值)的关系,2层观测结果对垂直风速的标准差和稳定度参数zL的模拟方程显示23m观测数据的模拟结果更符合通用方程的经验参数.最后对2层高度的半年时间内(20030101)~(20030630)总体能量闭合度和能量闭合度的时间变化趋势作了对比研究.结果表明,39m观测结果的总体能量闭合度要高于23m的总体能量闭合度;但从各自的能量闭合度的时间变化来看,23m在冬季的能量闭合度要高于39m,而在春季39m的能量闭合度要高于23m.
宋霞 , 刘允芬 , 徐小锋 . 两种方法评价不同高度涡度相关系统的观测结果[J]. 中国科学院大学学报, 2005 , 22(3) : 386 -393 . DOI: 10.7523/j.issn.2095-6134.2005.3.019
The energy balance closure and standard deviations for vertical wind velocity and scalar quantities were applied to test the liability of measurement results of eddy covariance system at two heights, which provided the foundation for decision of the measurement height. The results showed that 23mwas better than 39m in measurement using the standard deviations for vertical velocity and scalar quantities; however, energy balance closure analysis showed that 23m was better than 39m in winter, while 39m better than 23m in spring. Totally, 23m is better than 39m in flux measurements of scalar gases and heat.
[1] Samuelsson P, Tjernstrom M. Airborn flux measurements in NOPEX: comparison with footprint estimated surface heat fluxes. Agricultural and Forest Meteorology, 1999, 98Π99:205~225
[2] Soegaard H, Nordstroem C, Friborg T, et al. Trace gas exchange in a high2arctic valley. 3. Integrating and scaling CO2fluxes from canopy to landscape using flux data, footprint modelling and remote sensing. Global Biochem. Cycles, 2000, 14:725~744
[3] Henrik S, Niels OJ, Eva B. Carbon dioxide exchange over agricultural landscape using eddy correlation and footprint modeling. Agricultural and Forest Meteorology, 2003, 114:153~173
[4] Schmid HP. Source areas for scalars and scalar fluxes. Boundary2Layer Meteorology, 1994, 67:293~318
[5] Schmid HP. Experimental design for flux measurements: matching scales of observations and fluxes. Agricultural and Forest Meteorology,1997, 87:179~200
[6] Soegaard H, Jensen NO, Boegh E, et al. Carbon dioxide exchange over agricultural landscape using eddy correlation and footprint modelling. Agricultural and Forest Meteorology, 2003, 114:153~173
[7] Van Boxel JH, Sterk G, Arensa SM. Sonic anemometers in aeolian sediment transport research. Geomorphology, 2004, 59:131~147
[8] Raupach MR, Thom AS, Edwards I. A wind tunnel studyof turbulent flow close to regularly arrayed rough surfaces. Boundary2Layer Meteorology, 1980, 18: 373~387
[9] Garratt JR. The internal boundary layer. Boundary2Layer meteorology, 1990, 50:171~203
[10] Leclerc MY, Thurtell GW. Footprint prediction of scalar fluxes using a Markovian analysis. Boundary2Layer Meteorology, 1990, 52: 247~258
[11] Liu X, Osamu T, Takehisa O, et al. A study of correlations of scalar quantities in the atmospheric surface layer. Boundary2Layer Meteorology, 1998, 87: 499~508
[12] Monin AS, Obukhov AM. Basic laws of turbulent mixing near the ground. Trudy Geofiz. Ins. Akad. Nauk SSSR, 1954, 24: 163~187
[13] Zilitinkevich SS. On the dynamic and thermal interaction between the atmosphere and the Ocean. Izv. Atmos. Oceanic Phys. 1967, 10, 627~ 631
[14] Anderson DE, Verma SB, Rosenberg NJ. Eddy correlation measurements of CO2, latent heat and sensible heat fluxes over a crop surface. Boundary2Layer Meteorology, 1984, 29: 263~272
[15] Verma AB, Baldocchi DD, Anderson DE, et al. Eddy fluxes of CO2, water vapor and sensible heat over a deciduous forest. Boundary2Layer Meteorology, 1986, 36: 71~91
[16] Mahrt L. Flux sampling errors for aircraft and towers. J. Atmos. Ocean. Technol, 1998, 15: 416~429
[17] Li XH. On micrometeorological observations of surface2air exchange over tall vegetation. Agricultural and Forest Meteorology, 1998, 91, 39~49
[18] Edgar L, Reginald J, James R, et al. Statistics of surface2layer turbulence over terrain with meter2scale heterogeneity. Boundary2Layer Meteorology, 1998, 86: 379~408
[19] Garratt JR. The Atmospheric Boundary Layer. London:Cambridge University Press, 1992, 316
[20] Kaimal JC, Finnigan JJ. Atmospheric Boundary Layer Flows.London:Oxford University Press, 1994, 289
[21] Panofsky H, Dutton JA. Atmospheric Turbulence. New York:John Wiley &Sons, 1984: 156~173
[22] Panofsky HA. Tower micrometeorology. In:Haugen DA. (ed.), Workshop on micrometeorology, American meteorological society, Boston, 1973: 151~176
[23] Sorbjan Z. Structure of the Atmospheric Boundary Layer. New York: Prentice Hall, 1989, 317
[24] Turnipseed AA, Blanken PD, Anderson DE, et al. Energy budget above a high2elevation sub2alpine forest in complex topography. Agricultural and Forest Meteorology, 2002, 110: 77~201
[25] Kell W, Allen G, Eva F, et al. Energy balance closure at FLUXNET sites. Agricultural and Forest Meteorology, 2002, 113: 223~243
[26] Gu J, Smith EA, Merritt JD. Testing energy balance closure with GOES2retrieved net radiation and in situ measured eddy correlation fluxes in BOREAS. J. Geophys. Res., 1999, 104 (D22) : 27881~27894
[27] Blanken PD, Black TA, Neumann HH, et al. Turbulent flux measurements above and below the over story of a boreal aspen forest. Boundary2 Layer Metcorology,1998, 89:109~140
[28] Stannard DI, Blanford JH, Kustas WP, et al. Interpretation of surface flux measurements in heterogeneous terrain during the monsoon ’90 experiment. Water Resour. Res., 1994, 30 (5) : 1227~1239
[29] Twine TE, Kustas WP, Norman JM, et al. Correcting eddy2covariance flux underestimates over grassland. Agricultural and Forest Meteorology, 2000, 103: 279~300
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