Transfer Coefficients of Momentum, Heat and Water Vapour in the Atmospheric Surface Layer of a Large Freshwater Lake

Xiao, Wei; Liu, Shoudong; Wang, Wei; Yang, Dong; Xu, Jianming; Cao, Chengyu; Li, Hanchao; Lee, Xuhui

doi:10.1007/s10546-013-9827-9

Cited by 52 publications

(65 citation statements)

References 49 publications

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“…To date, some progress has been made toward answering the first science question, using data from a subset of the eddy flux sites (Deng et al 2013;Xiao et al 2013;Wang et al 2014). To date, some progress has been made toward answering the first science question, using data from a subset of the eddy flux sites (Deng et al 2013;Xiao et al 2013;Wang et al 2014).…”

Section: Motivation and Science Questionsmentioning

confidence: 99%

“…To date, some progress has been made toward answering the first science question, using data from a subset of the eddy flux sites (Deng et al 2013;Xiao et al 2013;Wang et al 2014). A reference map is given by Xiao et al (2013). In addition, we describe an unusual phenomenon of large nocturnal CO 2 uptake by submerged vegetation in the lake.…”

Section: Motivation and Science Questionsmentioning

confidence: 99%

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The Taihu Eddy Flux Network: An Observational Program on Energy, Water, and Greenhouse Gas Fluxes of a Large Freshwater Lake

Lee

Liu

Xiao

et al. 2014

Bull. Amer. Meteor. Soc.

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Section: Motivation and Science Questionsmentioning

confidence: 99%

“…To date, some progress has been made toward answering the first science question, using data from a subset of the eddy flux sites (Deng et al 2013;Xiao et al 2013;Wang et al 2014). A reference map is given by Xiao et al (2013). In addition, we describe an unusual phenomenon of large nocturnal CO 2 uptake by submerged vegetation in the lake.…”

Section: Motivation and Science Questionsmentioning

confidence: 99%

The Taihu Eddy Flux Network: An Observational Program on Energy, Water, and Greenhouse Gas Fluxes of a Large Freshwater Lake

Lee

Liu

Xiao

et al. 2014

Bull. Amer. Meteor. Soc.

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“…In many studies, momentum and latent and sensible heat fluxes are often parameterized as being proportional to the differences in wind speed, humidity, and air temperature between the water surface and the measurement height. Xiao et al (2013) analyzed this proportionality via transfer coefficients from EC measurements in China (Lake Taihu). The results indicate that the transfer coefficients decreased with increasing wind speed for weak winds and approached constant values for strong winds.…”

Section: Introductionmentioning

confidence: 99%

Turbulent Heat Fluxes above a Suburban Reservoir: A Case Study from Germany

Goldbach

Kuttler

2015

Journal of Hydrometeorology

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With the objective of quantifying turbulent sensible Q H and latent Q E heat fluxes above a suburban reservoir, a micrometeorological turbulence measurement campaign using the eddy covariance technique was carried out between June and November 2012 on the Baldeneysee, an artificial lake (2.64 km 2 area with up to 4-m depth) located in Germany. The study was conducted at this site because there is little information on this type of lake and the findings are important for the local water management system. Sensible heat fluxes show a mean diurnal course with maximum positive values during the early morning hours (maximum 5 131.3 W m 22 ) and negative values in the afternoon (minimum 5 212.3 W m 22 ). During daytime, average Q H /Q* ratios (where Q* is the radiation balance) are, in general, smaller than 0.20. Sensible heat fluxes are especially affected by the product of wind speed and water-air temperature difference, as well as the magnitude of global radiation. In contrast, mean hourly values of Q E are, on average, positive over the whole day, with an absolute spread between 1175.1 and 20.8 W m 22 . During daytime in summer, 74% of the radiation balance is transferred via Q E . The measurement values show that during two summer days, 3.72 and 2.84 mm day 21 of water could be evaporated, whereas during two measurement days in autumn, evaporation rates of only 1.36 and 0.94 mm day 21 were registered. The magnitude of Q E is mainly affected by four main parameters: the product of wind speed and vapor pressure deficit, followed by the magnitude of global radiation and water temperature.

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“…It is observed that, in some of the regional studies with low wind speed conditions, C D decreases with increase in wind speed in both, the mid-latitudinal (Mahrt et al 2001;Xiao et al 2013) as well as in the tropical (Kusuma et al 1996;Krishnan and Kunhikrishnan 2002) regions. Also, an unsystematic (scatter) variation of C D with wind speed has been reported from tropical (Kusuma et al 1996;Patil 2006) and mid-latitudinal (Wen et al 2005;Suzuki et al 2014) regions.…”

Section: Drag Coefficient Frictional Velocity and Stability In Low-mmentioning

confidence: 96%

The influence of wind speed on surface layer stability and turbulent fluxes over southern Indian peninsula station

et al. 2016

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Surface to atmosphere exchange has received much attention in numerical weather prediction models. This exchange is defined by turbulent parameters such as frictional velocity, drag coefficient and heat fluxes, which have to be derived experimentally from high-frequency observations. High-frequency measurements of wind speed, air temperature and water vapour mixing ratio (eddy covariance measurements), were made during the Integrated Ground Observation Campaign (IGOC) of Cloud Aerosol Interaction and Precipitation Enhancement Experiment (CAIPEEX) at Mahabubnagar, India (16 • 44 N, 77 • 59 E) in the south-west monsoon season. Using these observations, an attempt was made to investigate the behaviour of the turbulent parameters, mentioned above, with respect to wind speed. We found that the surface layer stability derived from the Monin-Obukhov length scale, is well depicted by the magnitude of wind speed, i.e., the atmospheric boundary layer was under unstable regime for wind speeds >4 m s −1 ; under stable regime for wind speeds <2 m s −1 and under neutral regime for wind speeds in the range of 2-3 m s −1 . All the three stability regimes were mixed for wind speeds 3-4 m s −1 . The drag coefficient shows scatter variation with wind speed in stable as well as unstable conditions.

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Transfer Coefficients of Momentum, Heat and Water Vapour in the Atmospheric Surface Layer of a Large Freshwater Lake

Cited by 52 publications

References 49 publications

The Taihu Eddy Flux Network: An Observational Program on Energy, Water, and Greenhouse Gas Fluxes of a Large Freshwater Lake

The Taihu Eddy Flux Network: An Observational Program on Energy, Water, and Greenhouse Gas Fluxes of a Large Freshwater Lake

Turbulent Heat Fluxes above a Suburban Reservoir: A Case Study from Germany

The influence of wind speed on surface layer stability and turbulent fluxes over southern Indian peninsula station

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