THE EJECTION-SWEEP CYCLE OVER GENTLE HILLS COVERED WITH BARE AND FORESTED SURFACES Davide Poggi 1,2, and Gabriel Katul 1 1 Nicholas School of the Environment.

Slides:



Advertisements
Similar presentations
What’s quasi-equilibrium all about?
Advertisements

4. First look Initial analysis of contrasting timeseries (Figure 2) shows: Shorter timescales have a smaller range of mass fluxes with lower maxima and.
Predictable Chaotic Exhibits memory Equilibrium Towards non-equilibrium Acknowledgements LD is supported by NERC CASE award NER/S/A/2004/ Conclusions.
Turbulent flow over groups of urban-like obstacles
Section 2: The Planetary Boundary Layer
Louisiana Tech University Ruston, LA Slide 1 Time Averaging Steven A. Jones BIEN 501 Monday, April 14, 2008.
Boundary Layer Flow Describes the transport phenomena near the surface for the case of fluid flowing past a solid object.
Abstract We quantified turbulent dissipation in the Raritan river using both conventional methods and a novel technique, the structure function method.
‘Horizontal convection’ 2 transitions solution for convection at large Ra two sinking regions Ross Griffiths Research School of Earth Sciences The Australian.
..perhaps the hardest place to use Bernoulli’s equation (so don’t)
Reading: Text, (p40-42, p49-60) Foken 2006 Key questions:
CHAPTER 7 TRANSVERSE SHEAR.
0.1m 10 m 1 km Roughness Layer Surface Layer Planetary Boundary Layer Troposphere Stratosphere height The Atmospheric (or Planetary) Boundary Layer is.
Flow, Fish & Fishing A Biocomplexity Project
Introduction to Convection: Flow and Thermal Considerations
Estimation of Prandtls Mixing Length
Review of the Boundary Layer
Suspended Load Above certain critical shear stress conditions, sediment particles are maintained in suspension by the exchange of momentum from the fluid.
Flow and Thermal Considerations
Wind Driven Circulation I: Planetary boundary Layer near the sea surface.
Reducing uncertainty in NEE estimates from flux measurements D. Hollinger, L. Mahrt, J. Sun, and G.G. Katul Ameriflux Meeting, Boulder CO., October 20,
Introduction to Convection: Flow and Thermal Considerations
The Air-Sea Momentum Exchange R.W. Stewart; 1973 Dahai Jeong - AMP.
Monin-Obukhoff Similarity Theory
Evaporation Slides prepared by Daene C. McKinney and Venkatesh Merwade
Modelling of the particle suspension in turbulent pipe flow
Observation and simulation of flow in vegetation canopies Roger H. Shaw University of California, Davis.
Lesson 21 Laminar and Turbulent Flow
1.Introduction 2.Description of model 3.Experimental design 4.Ocean ciruculation on an aquaplanet represented in the model depth latitude depth latitude.
Xin Xi. 1946: Obukhov Length, as a universal length scale for exchange processes in surface layer. 1954: Monin-Obukhov Similarity Theory, as a starting.
Introduction to Fluid Mechanics
Anharmonic Effects. Any real crystal resists compression to a smaller volume than its equilibrium value more strongly than expansion to a larger volume.
ME 254. Chapter I Integral Relations for a Control Volume An engineering science like fluid dynamics rests on foundations comprising both theory and experiment.
Reynolds-Averaged Navier-Stokes Equations -- RANS
Observational and theoretical investigations of turbulent structures generated by low-Intensity prescribed fires in forested environments X. Bian, W. Heilman,
Momentum Equations in a Fluid (PD) Pressure difference (Co) Coriolis Force (Fr) Friction Total Force acting on a body = mass times its acceleration (W)
Turbulent properties: - vary chaotically in time around a mean value - exhibit a wide, continuous range of scale variations - cascade energy from large.
Yoon kichul Department of Mechanical Engineering Seoul National University Multi-scale Heat Conduction.
Mass Transfer Coefficient
Modeling the Atmospheric Boundary Layer (2). Review of last lecture Reynolds averaging: Separation of mean and turbulent components u = U + u’, = 0 Intensity.
A canopy model of mean winds through urban areas O. COCEAL and S. E. BELCHER University of Reading, UK.
HEAT TRANSFER FINITE ELEMENT FORMULATION
Investigation of Mixed Layer Depth in the Southern Ocean by using a 1-D mixed layer model Chin-Ying Chien & Kevin Speer Geophysical Fluid Dynamics Institute,
On Describing Mean Flow Dynamics in Wall Turbulence J. Klewicki Department of Mechanical Engineering University of New Hampshire Durham, NH
Land-Ocean Interactions: Estuarine Circulation. Estuary: a semi-enclosed coastal body of water which has a free connection with the open sea and within.
Convection in Flat Plate Boundary Layers P M V Subbarao Associate Professor Mechanical Engineering Department IIT Delhi A Universal Similarity Law ……
The simplifed momentum equations Height coordinatesPressure coordinates.
SOES6002: Modelling in Environmental and Earth System Science CSEM Lecture 3 Martin Sinha School of Ocean & Earth Science University of Southampton.
One float case study The Argo float ( ) floating in the middle region of Indian Ocean was chosen for this study. In Figure 5, the MLD (red line),
INTRODUCTION TO CONVECTION
Estimating scalar fluxes in tropical forests using higher-order closure models Mario Siqueira 1, Humberto R Rocha 2, Michael L Goulden 3, Scott D Miller.
Thermal stratification, organized motion, and the onset of counter-gradient flows within canopies Daniela Cava 1, Gabriel Katul 2, Antonio Scrimieri 1,3,

Mattias Mohr, Johan Arnqvist, Hans Bergström Uppsala University (Sweden) Simulating wind and turbulence profiles in and above a forest canopy using the.
Salinity and Density Differences VERTICAL STRUCTURE, THERMOHALINE CIRCULATION & WATER MASSES.
Convection Heat Transfer in Manufacturing Processes P M V Subbarao Professor Mechanical Engineering Department I I T Delhi Mode of Heat Transfer due to.
Viscosità Equazioni di Navier Stokes. Viscous stresses are surface forces per unit area. (Similar to pressure) (Viscous stresses)
Heat Transfer Su Yongkang School of Mechanical Engineering # 1 HEAT TRANSFER CHAPTER 6 Introduction to convection.
CONVECTION : An Activity at Solid Boundary P M V Subbarao Associate Professor Mechanical Engineering Department IIT Delhi Identify and Compute Gradients.
Second - Order Closure. Material Derivative Gradient terms.
Interfacing Model Components CRTI RD Project Review Meeting Canadian Meteorological Centre August 22-23, 2006.
Trevor J McDougall, Raf Ferrari & Ryan Holmes
Coastal Ocean Dynamics Baltic Sea Research Warnemünde
K-ε model, ASM model.
Reynolds-Averaged Navier-Stokes Equations -- RANS
Subject Name: FLUID MECHANICS
Turbulent Kinetic Energy (TKE)
Convective Heat Transfer
Turbulent properties:
TURBULENT TRANSPORT MECHANISM
Presentation transcript:

THE EJECTION-SWEEP CYCLE OVER GENTLE HILLS COVERED WITH BARE AND FORESTED SURFACES Davide Poggi 1,2, and Gabriel Katul 1 1 Nicholas School of the Environment and Earth Sciences, Duke University, Durham, North Carolina, USA 2 Dipartimento di Idraulica, Trasporti ed Infrastrutture, Civili, Politecnico di Torino, Torino, Italy *contact: Abstract Progress on practical problems such as linking biological sources and sinks with turbulent scalar flux measurements in ecosystems situated over non-flat terrain are now requiring fundamental understanding of how topography modulates the basic properties of turbulence. In particular, how hilly terrain alter the ejection-sweep cycle, which is the main coherent transporting motion, remains a problem that received surprisingly little theoretical and experimental attention. Here, we investigate how boundary conditions, including canopy and gentle topography, alter the properties of the ejection-sweep cycle and whether it is possible to quantify their combined impact using simplified models. Towards this goal, we conducted two new flume experiments that explore the higher order turbulence statistics above a train of gentle hills. The first set of experiments were conducted over a bare surface while the second set were conducted over a modeled vegetated surface composed of tall and densely arrayed rods. Using this data, the connections between the ejection-sweep cycle and the higher order turbulence statistics across various positions above the hill surface were investigated. We showed that ejections dominate momentum transfer for both surface covers at the top of the inner layer. However, within the canopy and near the canopy top, sweeps dominate momentum transfer irrespective of the longitudinal position. Ejections remain the dominant momentum transfer mode in the entire inner region over the bare surface. These findings were well reproduced using an incomplete cumulant expansion and the measured profiles of the second moments of the flow. This agreement partly stems from the fact that the imbalance in the flux-transport terms, needed in the incomplete cumulant expansion, were well modeled using "local" gradient-diffusion principles. This finding suggests that in the inner layer, the higher-order turbulence statistics appear to be much more impacted by their relaxation history towards equilibrium rather than the advection- distortion history from the mean flow. Hence, we showed that it is possible to explore how various boundary conditions, including canopy and topography, alter the properties of the ejection-sweep cycle by quantifying their impact on the gradients of the second moments only. Introduction Understanding the modulation of organized motion by complex terrain near boundaries, bare or vegetated, remains a central research topic now being stimulated by a diverse set of applications. Particularly, how complex terrain modulates the ejection-sweep cycle, which is the main coherent motion responsible for the bulk turbulent transport, remains a problem that received surprisingly little attention. In contrast, studies on how hills modify the mean flow properties received significant theoretical and experimental attention. While the mean flow properties are strongly forced by the topography and can be plagued by 'discontinuities' such as separation or re-circulation regions, it is not yet clear how the turbulence is impacted by complex terrain. The main problem lies in the fact that turbulence 'remembers' a significant portion of the strain rate history injected by the mean flow, and the energy-containing eddies remember a significant portion of their relaxation history towards equilibrium. The relative importance of these two 'memories' can profoundly affect higher-order statistics across the hill and quantifying their interplay remains a vexing problem, the subject of this work. The Experiment Discussion The mixing length is well approximated by constant inside the canopy and linear in the inner layer (Figure 1). For the canopy case, we found that the mean flow experiences a re-circulation region at the leeside. Furthermore, the mean flow inside the canopy is highly variable longitudinally but not vertically. The converse is true at the top of the canopy (Figure 2-top). For the bare surface case, the mean flow is both longitudinally and vertically variable. The longitudinally averaged value is approximately logarithmic (Figure 2-bottom). For the canopy case, the turbulent shear stress is highly variable vertically but not longitudinally inside the canopy. The opposite in the inner layer above the canopy is observed (Figure 3-top). For the bare surface case, a thin viscous sub-layer near the flume floor is observed (Figure 3 – bottom). The turbulent stress is highly variable longitudinally in all regions of the inner layer (Figure 3 – bottom). For the canopy case, the ejection-sweep cycle statistic is well reproduced by all 3 models (CEM, ICEM, and gradient-diffusion). Sweeps dominate momentum transfer inside and near the canopy top at all longitudinal positions on the hill. The thickness of the equilibrium layer (here refers to the layer when sweeps balance ejections) is longitudinally variable across the hill (Figure 4). Ejections dominate momentum transfer for the bare surface case (Figure 5). Furthermore, the performance of gradient-diffusion models is much worse near the hill top (Figure 5). Results Theory Figure 2: Mean Velocity Distribution Figure 4: Ejections and Sweeps with Canopy Figure 5: Ejections and Sweeps for the Bare Surface Hill Properties: Four hill modules Hill Height (H) = 0.08 m Hill Half Length (L) = 0.8 m Canopy Properties Canopy Height = 0.1 m Rod diameter = m Rod density = 1000 rods/m 2 Flow Properties: Water Depth = 0.6 m Bulk Re > 1.5 x 10 5 Velocity Measurements Laser Doppler Anemometer Sampling Frequency = 3000 Hz Sampling Period = 300 s Objective The compass of this work is restricted to the connection between the ejection-sweep cycle and the higher order statistics across various positions above a train of gentle hills with a 'lens' on the flux-transporting terms, the terms most impacted by ejections and sweeps in the TKE budget. The tall forested experiment is designed such that the topographic variations remain comparable to the canopy height so that the interplay between organized eddy motion dominating canopy turbulence and the terrain variability is amplified. The bare surface experiment are carried out over an almost smooth surface to permit a sufficiently deep inner layer. Figure 3: Turbulent Stress Distribution 1) Quadrant analysis 4) Gradient-Diffusion Approximation 2) Third-Order Cumulant Expansion (CEM) 3) Incomplete Cumulant Expansion (ICEM) Figure 1: Measured Mixing Length Acknowledgements Support was provided by the Department of Energy (DOE) through the FACE-FACTS and Terrestrial Carbon Processes (TCP) programs, by the National Institute of Global Environmental Change (NIGEC) through the Southeast Regional Center at the University of Alabama, Tuscaloosa (DOE cooperative agreement DE-FC ER61010) and by the SERC-NIGEC RCIAP Research Program, and through the National Science Foundation (EAR and DMS). The broader impact of this study can be summarized as follows: If gradient-diffusion closure schemes for the triple moments do capture the statistical properties of the ejection-sweep cycle shown here, then these ejection- sweep properties must be in local equilibrium with the local gradients of the second moments (even within a re- circulation region). Given that advection remains significant in the mean momentum equation, the only way this local equilibrium can be maintained here is when the time-scales responsible for the production of ejections and sweeps are sufficiently shorter than the advection distortion time scale by the mean velocity within the inner layer. Conclusion …… (E1) …… (E2) …… (E3) …… (E4) E3 E2 E4 E1