Biometeorology, ESPM 129 1 Lecture 16, Wind and Turbulence, Part 1
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Lecture 7. More on BL Wind Profiles and Turbulent Eddy Structures in This
Atm S 547 Boundary Layer Meteorology Bretherton Lecture 7. More on BL wind profiles and turbulent eddy structures In this lecture… • Stability and baroclinicity effects on PBL wind and temperature profiles • Large-eddy structures and entrainment in shear-driven and convective BLs. Stability effects on overall boundary layer structure Above the surface layer, the wind profile is also affected by stability. As we mentioned previously, unstable BLs tend to have much more well-mixed wind profiles than stable BLs. Fig. 1 shows observations from the Wangara experiment on how the velocity defects and temperature profile are altered by BL stability (as measured by H/L). Within stability classes, the velocity profiles collapse when scaled with a velocity scale u* and the observed BL depth H, but there is a large difference between the stability classes. Baroclinicity We would expect baroclinicity (vertical shear of geostrophic wind) to also affect the observed wind profile. This is most easily seen for a laminar steady-state Ekman layer in a geostrophic wind with constant vertical shear ug(z) = (G + Mz, Nz), where M = -(g/fT0)∂T/∂y, N = (g/fT0)∂T/∂x. The momentum equations and BCs are: -f(v - Nz) = ν d2u/dz2 f(u - G - Mz) = ν d2v/dz2 u(0) = 0, u(z) ~ G + Mz as z → ∞. v(0) = 0, v(z) ~ Nz as z → ∞. The resultant BL velocity profile is the classical Ekman layer with the thermal wind added onto it. u(z) = G(1 - e-ζ cos ζ) + Mz, (7.1) 1/2 v(z) = G e- ζ sin ζ + Nz. -
Causes and Behavior of a Tornadic Fire-Whirlwind
61 §OUTHWJE§T FOJRJE§T & JRANGJE JEXlPJEJREMlE '"'"T § TAT1,o~ 8 e r k e I e y , C a I i f o '{"1'~qiNNT':l E_ ;:;;~"~~~1 ,;i,.,. ..t"; .... ~~ :;~ ·-:-; , r~-.fi... .liCo)iw:;-;sl- Central Reference File II ....·~ 0 ........................................(). 7 ;s_ .·············· ··········· Causes and Behavior of a Tornadic Fire-Whirlwind ARTHUR R.PIRSKO, LEO M.SERGIUS, AND CARL W.HICKERSON ABSTRACT: A destructive whirlwind of tor Normally an early March nadic force was formed in a 600-acre brush fire burning on the lee side o f a ridge brush fire would not be much near Santa Barbara on March 7, 1964. The of a problem for experienced fire whirlwind, formed in a post-frontal unstable air mass, cut a mile long path, firefighters in the Santa Bar- injured 4 people, destroyed 2 houses, a barn, · bara area of the Los Padres and 4 automobiles, and wrecked a 100-tree avocado orchard. National Forest in southern California. But the Polo fire of March 7, 1964, spread several times faster than expected and culminated in a fire -whirl wind of tornadic violence (fig. 1). It represents a classic case of such fire behavior and was unusually well documented by surface and upper air observations. This fire damaged 600 acres of prime watershed land, and the fire -induced tornado injured 4 persons; destroyed 2 homes, a barn, and 3 automobiles; and toppled almost 100 avocado trees. BURNING CONDITIONS FUELS The fire area was predominantly 50-year old ceanothus (Cea nothus sp.) that stood 10 to 15 feet high (fig. 2). Minor amounts of California sagebrush (Artemisia californica) and scrub oak (Quer cus dumosa) were intermixed with the ceanothus. -
In Classical Fluid Dynamics, a Boundary Layer Is the Layer I
Atm S 547 Boundary Layer Meteorology Bretherton Lecture 1 Scope of Boundary Layer (BL) Meteorology (Garratt, Ch. 1) In classical fluid dynamics, a boundary layer is the layer in a nearly inviscid fluid next to a surface in which frictional drag associated with that surface is significant (term introduced by Prandtl, 1905). Such boundary layers can be laminar or turbulent, and are often only mm thick. In atmospheric science, a similar definition is useful. The atmospheric boundary layer (ABL, sometimes called P[lanetary] BL) is the layer of fluid directly above the Earth’s surface in which significant fluxes of momentum, heat and/or moisture are carried by turbulent motions whose horizontal and vertical scales are on the order of the boundary layer depth, and whose circulation timescale is a few hours or less (Garratt, p. 1). A similar definition works for the ocean. The complexity of this definition is due to several complications compared to classical aerodynamics. i) Surface heat exchange can lead to thermal convection ii) Moisture and effects on convection iii) Earth’s rotation iv) Complex surface characteristics and topography. BL is assumed to encompass surface-driven dry convection. Most workers (but not all) include shallow cumulus in BL, but deep precipitating cumuli are usually excluded from scope of BLM due to longer time for most air to recirculate back from clouds into contact with surface. Air-surface exchange BLM also traditionally includes the study of fluxes of heat, moisture and momentum between the atmosphere and the underlying surface, and how to characterize surfaces so as to predict these fluxes (roughness, thermal and moisture fluxes, radiative characteristics). -
Simulation of Turbulent Flows
Simulation of Turbulent Flows • From the Navier-Stokes to the RANS equations • Turbulence modeling • k-ε model(s) • Near-wall turbulence modeling • Examples and guidelines ME469B/3/GI 1 Navier-Stokes equations The Navier-Stokes equations (for an incompressible fluid) in an adimensional form contain one parameter: the Reynolds number: Re = ρ Vref Lref / µ it measures the relative importance of convection and diffusion mechanisms What happens when we increase the Reynolds number? ME469B/3/GI 2 Reynolds Number Effect 350K < Re Turbulent Separation Chaotic 200 < Re < 350K Laminar Separation/Turbulent Wake Periodic 40 < Re < 200 Laminar Separated Periodic 5 < Re < 40 Laminar Separated Steady Re < 5 Laminar Attached Steady Re Experimental ME469B/3/GI Observations 3 Laminar vs. Turbulent Flow Laminar Flow Turbulent Flow The flow is dominated by the The flow is dominated by the object shape and dimension object shape and dimension (large scale) (large scale) and by the motion and evolution of small eddies (small scales) Easy to compute Challenging to compute ME469B/3/GI 4 Why turbulent flows are challenging? Unsteady aperiodic motion Fluid properties exhibit random spatial variations (3D) Strong dependence from initial conditions Contain a wide range of scales (eddies) The implication is that the turbulent simulation MUST be always three-dimensional, time accurate with extremely fine grids ME469B/3/GI 5 Direct Numerical Simulation The objective is to solve the time-dependent NS equations resolving ALL the scale (eddies) for a sufficient time -
ESSENTIALS of METEOROLOGY (7Th Ed.) GLOSSARY
ESSENTIALS OF METEOROLOGY (7th ed.) GLOSSARY Chapter 1 Aerosols Tiny suspended solid particles (dust, smoke, etc.) or liquid droplets that enter the atmosphere from either natural or human (anthropogenic) sources, such as the burning of fossil fuels. Sulfur-containing fossil fuels, such as coal, produce sulfate aerosols. Air density The ratio of the mass of a substance to the volume occupied by it. Air density is usually expressed as g/cm3 or kg/m3. Also See Density. Air pressure The pressure exerted by the mass of air above a given point, usually expressed in millibars (mb), inches of (atmospheric mercury (Hg) or in hectopascals (hPa). pressure) Atmosphere The envelope of gases that surround a planet and are held to it by the planet's gravitational attraction. The earth's atmosphere is mainly nitrogen and oxygen. Carbon dioxide (CO2) A colorless, odorless gas whose concentration is about 0.039 percent (390 ppm) in a volume of air near sea level. It is a selective absorber of infrared radiation and, consequently, it is important in the earth's atmospheric greenhouse effect. Solid CO2 is called dry ice. Climate The accumulation of daily and seasonal weather events over a long period of time. Front The transition zone between two distinct air masses. Hurricane A tropical cyclone having winds in excess of 64 knots (74 mi/hr). Ionosphere An electrified region of the upper atmosphere where fairly large concentrations of ions and free electrons exist. Lapse rate The rate at which an atmospheric variable (usually temperature) decreases with height. (See Environmental lapse rate.) Mesosphere The atmospheric layer between the stratosphere and the thermosphere. -
ESCI 485 – Air/Sea Interaction Lesson 3 – the Surface Layer References
ESCI 485 – Air/sea Interaction Lesson 3 – The Surface Layer References: Air-sea Interaction: Laws and Mechanisms , Csanady Structure of the Atmospheric Boundary Layer , Sorbjan THE PLANETARY BOUNDARY LAYER The atmospheric planetary boundary layer (PBL) is that region of the atmosphere in which turbulent fluxes are not negligible. Its depth can vary depending on the stability of the atmosphere. ο In deep convection the PBL can be of the same order as the entire troposphere. ο Usually it is of the order of 1 km or so. The PBL can be further broken down into three layers ο The mixed layer – the upper 90% or so of the PBL in which eddies have nearly mixed properties such as potential temperature, momentum, and moisture. ο The surface layer – The lowest 10% or so of the PBL in which the turbulent fluxes dominate all other terms (Coriolis and PGF) in the momentum equations. ο The viscous sub-layer – A very thin layer (order of cm or less) right near the surface where viscous effects may be important. THE SURFACE LAYER In the surface layer the turbulent momentum flux dominates all other terms in the momentum equations. The surface layer extends upwards on the order of 10 m or so. The Reynolds fluxes (stresses) in the surface layer can be assumed constant with height, and have the same magnitude as the interfacial stress (the stress between the air and water). In the surface layer, the eddy length scale is proportional to the height, z, above the surface. Based on the similarity principle , the following dimensionless group is formed from the friction velocity, eddy length scale, and the mean wind shear z dU = B , (1) u* dz where B is a dimensionless constant. -
Hydraulics Manual Glossary G - 3
Glossary G - 1 GLOSSARY OF HIGHWAY-RELATED DRAINAGE TERMS (Reprinted from the 1999 edition of the American Association of State Highway and Transportation Officials Model Drainage Manual) G.1 Introduction This Glossary is divided into three parts: · Introduction, · Glossary, and · References. It is not intended that all the terms in this Glossary be rigorously accurate or complete. Realistically, this is impossible. Depending on the circumstance, a particular term may have several meanings; this can never change. The primary purpose of this Glossary is to define the terms found in the Highway Drainage Guidelines and Model Drainage Manual in a manner that makes them easier to interpret and understand. A lesser purpose is to provide a compendium of terms that will be useful for both the novice as well as the more experienced hydraulics engineer. This Glossary may also help those who are unfamiliar with highway drainage design to become more understanding and appreciative of this complex science as well as facilitate communication between the highway hydraulics engineer and others. Where readily available, the source of a definition has been referenced. For clarity or format purposes, cited definitions may have some additional verbiage contained in double brackets [ ]. Conversely, three “dots” (...) are used to indicate where some parts of a cited definition were eliminated. Also, as might be expected, different sources were found to use different hyphenation and terminology practices for the same words. Insignificant changes in this regard were made to some cited references and elsewhere to gain uniformity for the terms contained in this Glossary: as an example, “groundwater” vice “ground-water” or “ground water,” and “cross section area” vice “cross-sectional area.” Cited definitions were taken primarily from two sources: W.B. -
The Atmospheric Boundary Layer (ABL Or PBL)
The Atmospheric Boundary Layer (ABL or PBL) • The layer of fluid directly above the Earth’s surface in which significant fluxes of momentum, heat and/or moisture are carried by turbulent motions whose horizontal and vertical scales are on the order of the boundary layer depth, and whose circulation timescale is a few hours or less (Garratt, p. 1). A similar definition works for the ocean. • The complexity of this definition is due to several complications compared to classical aerodynamics: i) Surface heat exchange can lead to thermal convection ii) Moisture and effects on convection iii) Earth’s rotation iv) Complex surface characteristics and topography. Atm S 547 Lecture 1, Slide 1 Sublayers of the atmospheric boundary layer Atm S 547 Lecture 1, Slide 2 Applications and Relevance of BLM i) Climate simulation and NWP ii) Air Pollution and Urban Meteorology iii) Agricultural meteorology iv) Aviation v) Remote Sensing vi) Military Atm S 547 Lecture 1, Slide 3 History of Boundary-Layer Meteorology 1900 – 1910 Development of laminar boundary layer theory for aerodynamics, starting with a seminal paper of Prandtl (1904). Ekman (1905,1906) develops his theory of laminar Ekman layer. 1910 – 1940 Taylor develops basic methods for examining and understanding turbulent mixing Mixing length theory, eddy diffusivity - von Karman, Prandtl, Lettau 1940 – 1950 Kolmogorov (1941) similarity theory of turbulence 1950 – 1960 Buoyancy effects on surface layer (Monin and Obuhkov, 1954). Early field experiments (e. g. Great Plains Expt. of 1953) capable of accurate direct turbulent flux measurements 1960 – 1970 The Golden Age of BLM. Accurate observations of a variety of boundary layer types, including convective, stable and trade- cumulus. -
Computational Turbulent Incompressible Flow
This is page i Printer: Opaque this Computational Turbulent Incompressible Flow Applied Mathematics: Body & Soul Vol 4 Johan Hoffman and Claes Johnson 24th February 2006 ii This is page iii Printer: Opaque this Contents I Overview 4 1 Main Objective 5 2 Mysteries and Secrets 7 2.1 Mysteries . 7 2.2 Secrets . 8 3 Turbulent flow and History of Aviation 13 3.1 Leonardo da Vinci, Newton and d'Alembert . 13 3.2 Cayley and Lilienthal . 14 3.3 Kutta, Zhukovsky and the Wright Brothers . 14 4 The Navier{Stokes and Euler Equations 19 4.1 The Navier{Stokes Equations . 19 4.2 What is Viscosity? . 20 4.3 The Euler Equations . 22 4.4 Friction Boundary Condition . 22 4.5 Euler Equations as Einstein's Ideal Model . 22 4.6 Euler and NS as Dynamical Systems . 23 5 Triumph and Failure of Mathematics 25 5.1 Triumph: Celestial Mechanics . 25 iv Contents 5.2 Failure: Potential Flow . 26 6 Laminar and Turbulent Flow 27 6.1 Reynolds . 27 6.2 Applications and Reynolds Numbers . 29 7 Computational Turbulence 33 7.1 Are Turbulent Flows Computable? . 33 7.2 Typical Outputs: Drag and Lift . 35 7.3 Approximate Weak Solutions: G2 . 35 7.4 G2 Error Control and Stability . 36 7.5 What about Mathematics of NS and Euler? . 36 7.6 When is a Flow Turbulent? . 37 7.7 G2 vs Physics . 37 7.8 Computability and Predictability . 38 7.9 G2 in Dolfin in FEniCS . 39 8 A First Study of Stability 41 8.1 The linearized Euler Equations . -
Introduction to Turbulent Flow
CBE 6333, R. Levicky 1 Introduction to Turbulent Flow Turbulent Flow. In turbulent flow, the velocity components and other variables (e.g. pressure, density - if the fluid is compressible, temperature - if the temperature is not uniform) at a point fluctuate with time in an apparently random fashion. In general, turbulent flow is time-dependent, rotational, and three dimensional – thus, methods such as developed for potential flow in handout 13 do not work. For instance, measurement of the velocity component v1 at some stationary point in the flow may produce a plot as shown in Figure 1. In Figure 1, the velocity can be regarded as consisting of an average value v1 indicated by the dashed line, plus a random fluctuation v1' v1(t) = v1 (t) + v1'( t) (1) Figure 1 Similarly, other variables may also fluctuate, for example p(t) = p (t) + p'( t) (2) ρ(t) = ρ (t) + ρ'( t) (3) The overscore denotes average values and the prime denotes fluctuations. Turbulence will always occur for sufficiently high Re numbers, regardless of the geometry of flow under consideration. The origin of turbulence rests in small perturbations imposed on the flow; for instance, by wall roughness, by small variations in fluid density, by mechanical vibrations, etc. At low Re numbers such disturbances are damped out by the fluid viscosity and the flow remains laminar, but at high Re (when convective momentum transport dominates over viscous forces) they can grow and propagate, giving rise to the chaotic phenomena perceived as turbulence. Turbulent flows can be very difficult to analyze. In this handout, some of the simplest concepts pertinent to turbulent flows are introduced. -
A Review of Ocean/Sea Subsurface Water Temperature Studies from Remote Sensing and Non-Remote Sensing Methods
water Review A Review of Ocean/Sea Subsurface Water Temperature Studies from Remote Sensing and Non-Remote Sensing Methods Elahe Akbari 1,2, Seyed Kazem Alavipanah 1,*, Mehrdad Jeihouni 1, Mohammad Hajeb 1,3, Dagmar Haase 4,5 and Sadroddin Alavipanah 4 1 Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran 1417853933, Iran; [email protected] (E.A.); [email protected] (M.J.); [email protected] (M.H.) 2 Department of Climatology and Geomorphology, Faculty of Geography and Environmental Sciences, Hakim Sabzevari University, Sabzevar 9617976487, Iran 3 Department of Remote Sensing and GIS, Shahid Beheshti University, Tehran 1983963113, Iran 4 Department of Geography, Humboldt University of Berlin, Unter den Linden 6, 10099 Berlin, Germany; [email protected] (D.H.); [email protected] (S.A.) 5 Department of Computational Landscape Ecology, Helmholtz Centre for Environmental Research UFZ, 04318 Leipzig, Germany * Correspondence: [email protected]; Tel.: +98-21-6111-3536 Received: 3 October 2017; Accepted: 16 November 2017; Published: 14 December 2017 Abstract: Oceans/Seas are important components of Earth that are affected by global warming and climate change. Recent studies have indicated that the deeper oceans are responsible for climate variability by changing the Earth’s ecosystem; therefore, assessing them has become more important. Remote sensing can provide sea surface data at high spatial/temporal resolution and with large spatial coverage, which allows for remarkable discoveries in the ocean sciences. The deep layers of the ocean/sea, however, cannot be directly detected by satellite remote sensors. -
Synoptic Meteorology
Lecture Notes on Synoptic Meteorology For Integrated Meteorological Training Course By Dr. Prakash Khare Scientist E India Meteorological Department Meteorological Training Institute Pashan,Pune-8 186 IMTC SYLLABUS OF SYNOPTIC METEOROLOGY (FOR DIRECT RECRUITED S.A’S OF IMD) Theory (25 Periods) ❖ Scales of weather systems; Network of Observatories; Surface, upper air; special observations (satellite, radar, aircraft etc.); analysis of fields of meteorological elements on synoptic charts; Vertical time / cross sections and their analysis. ❖ Wind and pressure analysis: Isobars on level surface and contours on constant pressure surface. Isotherms, thickness field; examples of geostrophic, gradient and thermal winds: slope of pressure system, streamline and Isotachs analysis. ❖ Western disturbance and its structure and associated weather, Waves in mid-latitude westerlies. ❖ Thunderstorm and severe local storm, synoptic conditions favourable for thunderstorm, concepts of triggering mechanism, conditional instability; Norwesters, dust storm, hail storm. Squall, tornado, microburst/cloudburst, landslide. ❖ Indian summer monsoon; S.W. Monsoon onset: semi permanent systems, Active and break monsoon, Monsoon depressions: MTC; Offshore troughs/vortices. Influence of extra tropical troughs and typhoons in northwest Pacific; withdrawal of S.W. Monsoon, Northeast monsoon, ❖ Tropical Cyclone: Life cycle, vertical and horizontal structure of TC, Its movement and intensification. Weather associated with TC. Easterly wave and its structure and associated weather. ❖ Jet Streams – WMO definition of Jet stream, different jet streams around the globe, Jet streams and weather ❖ Meso-scale meteorology, sea and land breezes, mountain/valley winds, mountain wave. ❖ Short range weather forecasting (Elementary ideas only); persistence, climatology and steering methods, movement and development of synoptic scale systems; Analogue techniques- prediction of individual weather elements, visibility, surface and upper level winds, convective phenomena.