Eddy Viscosity
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Understanding Eddy Field in the Arctic Ocean from High-Resolution Satellite Observations Igor Kozlov1, A
Abstract ID: 21849 Understanding eddy field in the Arctic Ocean from high-resolution satellite observations Igor Kozlov1, A. Artamonova1, L. Petrenko1, E. Plotnikov1, G. Manucharyan2, A. Kubryakov1 1Marine Hydrophysical Institute of RAS, Russia; 2School of Oceanography, University of Washington, USA Highlights: - Eddies are ubiquitous in the Arctic Ocean even in the presence of sea ice; - Eddies range in size between 0.5 and 100 km and their orbital velocities can reach up to 0.75 m/s. - High-resolution SAR data resolve complex MIZ dynamics down to submesoscales [O(1 km)]. Fig 1. Eddy detection Fig 2. Spatial statistics Fig 3. Dynamics EGU2020 OS1.11: Changes in the Arctic Ocean, sea ice and subarctic seas systems: Observations, Models and Perspectives 1 Abstract ID: 21849 Motivation • The Arctic Ocean is a host to major ocean circulation systems, many of which generate eddies transporting water masses and tracers over long distances from their formation sites. • Comprehensive observations of eddy characteristics are currently not available and are limited to spatially and temporally sparse in situ observations. • Relatively small Rossby radii of just 2-10 km in the Arctic Ocean (Nurser and Bacon, 2014) also mean that most of the state-of-art hydrodynamic models are not eddy-resolving • The aim of this study is therefore to fill existing gaps in eddy observations in the Arctic Ocean. • To address it, we use high-resolution spaceborne SAR measurements to detect eddies over the ice-free regions and in the marginal ice zones (MIZ). EGU20 -OS1.11 – Kozlov et al., Understanding eddy field in the Arctic Ocean from high-resolution satellite observations 2 Abstract ID: 21849 Methods • We use multi-mission high-resolution spaceborne synthetic aperture radar (SAR) data to detect eddies over open ocean and marginal ice zones (MIZ) of Fram Strait and Beaufort Gyre regions. -
A Global Ocean Wind Stress Climatology Based on Ecmwf Analyses
NCAR/TN-338+STR NCAR TECHNICAL NOTE - August 1989 A GLOBAL OCEAN WIND STRESS CLIMATOLOGY BASED ON ECMWF ANALYSES KEVIN E. TRENBERTH JERRY G. OLSON WILLIAM G. LARGE T (ANNUAL) 90N 60N 30N 0 30S 60S 90S- 0 30E 60E 90E 120E 150E 180 150 120N 90 6W 30W 0 CLIMATE AND GLOBAL DYNAMICS DIVISION I NATIONAL CENTER FOR ATMOSPHERIC RESEARCH BOULDER. COLORADO I Table of Contents Preface . v Acknowledgments . .. v 1. Introduction . 1 2. D ata . .. 6 3. The drag coefficient . .... 8 4. Mean annual cycle . 13 4.1 Monthly mean wind stress . .13 4.2 Monthly mean wind stress curl . 18 4.3 Sverdrup transports . 23 4.4 Results in tropics . 30 5. Comparisons with Hellerman and Rosenstein . 34 5.1 Differences in wind stress . 34 5.2 Changes in the atmospheric circulation . 47 6. Interannual variations . 55 7. Conclusions ....................... 68 References . 70 Appendix I ECMWF surface winds .... 75 Appendix II Curl of the wind stress . 81 Appendix III Stability fields . 83 iii Preface Computations of the surface wind stress over the global oceans have been made using surface winds from the European Centre for Medium Range Weather Forecasts (ECMWF) for seven years. The drag coefficient is a function of wind speed and atmospheric stability, and the density is computed for each observation. Seven year climatologies of wind stress, wind stress curl and Sverdrup transport are computed and compared with those of other studies. The interannual variability of these quantities over the seven years is presented. Results for the long term and individual monthly means are archived and available at NCAR. -
The General Circulation of the Atmosphere and Climate Change
12.812: THE GENERAL CIRCULATION OF THE ATMOSPHERE AND CLIMATE CHANGE Paul O'Gorman April 9, 2010 Contents 1 Introduction 7 1.1 Lorenz's view . 7 1.2 The general circulation: 1735 (Hadley) . 7 1.3 The general circulation: 1857 (Thompson) . 7 1.4 The general circulation: 1980-2001 (ERA40) . 7 1.5 The general circulation: recent trends (1980-2005) . 8 1.6 Course aim . 8 2 Some mathematical machinery 9 2.1 Transient and Stationary eddies . 9 2.2 The Dynamical Equations . 12 2.2.1 Coordinates . 12 2.2.2 Continuity equation . 12 2.2.3 Momentum equations (in p coordinates) . 13 2.2.4 Thermodynamic equation . 14 2.2.5 Water vapor . 14 1 Contents 3 Observed mean state of the atmosphere 15 3.1 Mass . 15 3.1.1 Geopotential height at 1000 hPa . 15 3.1.2 Zonal mean SLP . 17 3.1.3 Seasonal cycle of mass . 17 3.2 Thermal structure . 18 3.2.1 Insolation: daily-mean and TOA . 18 3.2.2 Surface air temperature . 18 3.2.3 Latitude-σ plots of temperature . 18 3.2.4 Potential temperature . 21 3.2.5 Static stability . 21 3.2.6 Effects of moisture . 24 3.2.7 Moist static stability . 24 3.2.8 Meridional temperature gradient . 25 3.2.9 Temperature variability . 26 3.2.10 Theories for the thermal structure . 26 3.3 Mean state of the circulation . 26 3.3.1 Surface winds and geopotential height . 27 3.3.2 Upper-level flow . 27 3.3.3 200 hPa u (CDC) . -
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 -
Ocean and Climate
Ocean currents II Wind-water interaction and drag forces Ekman transport, circular and geostrophic flow General ocean flow pattern Wind-Water surface interaction Water motion at the surface of the ocean (mixed layer) is driven by wind effects. Friction causes drag effects on the water, transferring momentum from the atmospheric winds to the ocean surface water. The drag force Wind generates vertical and horizontal motion in the water, triggering convective motion, causing turbulent mixing down to about 100m depth, which defines the isothermal mixed layer. The drag force FD on the water depends on wind velocity v: 2 FD CD Aa v CD drag coefficient dimensionless factor for wind water interaction CD 0.002, A cross sectional area depending on surface roughness, and particularly the emergence of waves! Katsushika Hokusai: The Great Wave off Kanagawa The Beaufort Scale is an empirical measure describing wind speed based on the observed sea conditions (1 knot = 0.514 m/s = 1.85 km/h)! For land and city people Bft 6 Bft 7 Bft 8 Bft 9 Bft 10 Bft 11 Bft 12 m Conversion from scale to wind velocity: v 0.836 B3/ 2 s A strong breeze of B=6 corresponds to wind speed of v=39 to 49 km/h at which long waves begin to form and white foam crests become frequent. The drag force can be calculated to: kg km m F C A v2 1200 v 45 12.5 C 0.001 D D a a m3 h s D 2 kg 2 m 2 FD 0.0011200 Am 12.5 187.5 A N or FD A 187.5 N m m3 s For a strong gale (B=12), v=35 m/s, the drag stress on the water will be: 2 kg m 2 FD / A 0.00251200 35 3675 N m m3 s kg m 1200 v 35 C 0.0025 a m3 s D Ekman transport The frictional drag force of wind with velocity v or wind stress x generating a water velocity u, is balanced by the Coriolis force, but drag decreases with depth z. -
Arxiv:1809.01376V1 [Astro-Ph.EP] 5 Sep 2018
Draft version March 9, 2021 Typeset using LATEX preprint2 style in AASTeX61 IDEALIZED WIND-DRIVEN OCEAN CIRCULATIONS ON EXOPLANETS Weiwen Ji,1 Ru Chen,2 and Jun Yang1 1Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, 100871, Beijing, China 2University of California, 92521, Los Angeles, USA ABSTRACT Motivated by the important role of the ocean in the Earth climate system, here we investigate possible scenarios of ocean circulations on exoplanets using a one-layer shallow water ocean model. Specifically, we investigate how planetary rotation rate, wind stress, fluid eddy viscosity and land structure (a closed basin vs. a reentrant channel) influence the pattern and strength of wind-driven ocean circulations. The meridional variation of the Coriolis force, arising from planetary rotation and the spheric shape of the planets, induces the western intensification of ocean circulations. Our simulations confirm that in a closed basin, changes of other factors contribute to only enhancing or weakening the ocean circulations (e.g., as wind stress decreases or fluid eddy viscosity increases, the ocean circulations weaken, and vice versa). In a reentrant channel, just as the Southern Ocean region on the Earth, the ocean pattern is characterized by zonal flows. In the quasi-linear case, the sensitivity of ocean circulations characteristics to these parameters is also interpreted using simple analytical models. This study is the preliminary step for exploring the possible ocean circulations on exoplanets, future work with multi-layer ocean models and fully coupled ocean-atmosphere models are required for studying exoplanetary climates. Keywords: astrobiology | planets and satellites: oceans | planets and satellites: terrestrial planets arXiv:1809.01376v1 [astro-ph.EP] 5 Sep 2018 Corresponding author: Jun Yang [email protected] 2 Ji, Chen and Yang 1. -
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. -
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. -
Coastal Upwelling Revisited: Ekman, Bakun, and Improved 10.1029/2018JC014187 Upwelling Indices for the U.S
Journal of Geophysical Research: Oceans RESEARCH ARTICLE Coastal Upwelling Revisited: Ekman, Bakun, and Improved 10.1029/2018JC014187 Upwelling Indices for the U.S. West Coast Key Points: Michael G. Jacox1,2 , Christopher A. Edwards3 , Elliott L. Hazen1 , and Steven J. Bograd1 • New upwelling indices are presented – for the U.S. West Coast (31 47°N) to 1NOAA Southwest Fisheries Science Center, Monterey, CA, USA, 2NOAA Earth System Research Laboratory, Boulder, CO, address shortcomings in historical 3 indices USA, University of California, Santa Cruz, CA, USA • The Coastal Upwelling Transport Index (CUTI) estimates vertical volume transport (i.e., Abstract Coastal upwelling is responsible for thriving marine ecosystems and fisheries that are upwelling/downwelling) disproportionately productive relative to their surface area, particularly in the world’s major eastern • The Biologically Effective Upwelling ’ Transport Index (BEUTI) estimates boundary upwelling systems. Along oceanic eastern boundaries, equatorward wind stress and the Earth s vertical nitrate flux rotation combine to drive a near-surface layer of water offshore, a process called Ekman transport. Similarly, positive wind stress curl drives divergence in the surface Ekman layer and consequently upwelling from Supporting Information: below, a process known as Ekman suction. In both cases, displaced water is replaced by upwelling of relatively • Supporting Information S1 nutrient-rich water from below, which stimulates the growth of microscopic phytoplankton that form the base of the marine food web. Ekman theory is foundational and underlies the calculation of upwelling indices Correspondence to: such as the “Bakun Index” that are ubiquitous in eastern boundary upwelling system studies. While generally M. G. Jacox, fi [email protected] valuable rst-order descriptions, these indices and their underlying theory provide an incomplete picture of coastal upwelling. -
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 . -
Physical Oceanography and Circulation in the Gulf of Mexico
Physical Oceanography and Circulation in the Gulf of Mexico Ruoying He Dept. of Marine, Earth & Atmospheric Sciences Ocean Carbon and Biogeochemistry Scoping Workshop on Terrestrial and Coastal Carbon Fluxes in the Gulf of Mexico St. Petersburg, FL May 6-8, 2008 Adopted from Oey et al. (2005) Adopted from Morey et al. (2005) Averaged field of wind stress for the GOM. [adapted from Gutierrez de Velasco and Winant, 1996] Surface wind Monthly variability Spring transition vs Fall Transition Adopted from Morey et al. (2005) Outline 1. General circulation in the GOM 1.1. The loop current and Eddy Shedding 1.2. Upstream conditions 1.3. Anticyclonic flow in the central and northwestern Gulf 1.4. Cyclonic flow in the Bay of Campeche 1.5. Deep circulation in the Gulf 2. Coastal circulation 2.1. Coastal Circulation in the Eastern Gulf 2.2. Coastal Circulation in the Northern Gulf 2.3. Coastal Circulation in the Western Gulf 1. General Circulation in the GOM 1.1. The Loop Current (LC) and Eddy Shedding Eddy LC Summary statistics for the Loop Current metrics computed from the January1, 1993 through July 1, 2004 altimetric time series Leben (2005) A compilation of the 31-yr Record (July 1973 – June 2004) of LC separation event. The separation intervals vary From a few weeks up to ~ 18 Months. Separation intervals tend to Cluster near 4.5-7 and 11.5, And 17-18.5 months, perhaps Suggesting the possibility of ~ a 6 month duration between each cluster. Leben (2005); Schmitz et al. (2005) Sturges and Leben (1999) The question of why the LC and the shedding process behave in such a semi-erratic manner is a bit of a mystery • Hurlburt and Thompson (1980) found erratic eddy shedding intervals in the lowest eddy viscosity run in a sequence of numerical experiment. -
Pressure-Gradient Forcing Methods for Large-Eddy Simulations of Flows in the Lower Atmospheric Boundary Layer
atmosphere Article Pressure-Gradient Forcing Methods for Large-Eddy Simulations of Flows in the Lower Atmospheric Boundary Layer François Pimont 1,* , Jean-Luc Dupuy 1 , Rodman R. Linn 2, Jeremy A. Sauer 3 and Domingo Muñoz-Esparza 3 1 Department of Forest, Grassland and Freshwater Ecology, Unité de Recherche des Forets Méditerranéennes (URFM), French National Institute for Agriculture, Food, and Environment (INRAE), CEDEX 9, 84914 Avignon, France; [email protected] 2 Earth and Environmental Sciences Division, Los Alamos National Lab, Los Alamos, NM 87545, USA; [email protected] 3 Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO 80301, USA; [email protected] (J.A.S.); [email protected] (D.M.-E.) * Correspondence: [email protected]; Tel.: +33-432-722-947 Received: 26 October 2020; Accepted: 9 December 2020; Published: 11 December 2020 Abstract: Turbulent flows over forest canopies have been successfully modeled using Large-Eddy Simulations (LES). Simulated winds result from the balance between a simplified pressure gradient forcing (e.g., a constant pressure-gradient or a canonical Ekman balance) and the dissipation of momentum, due to vegetation drag. Little attention has been paid to the impacts of these forcing methods on flow features, despite practical challenges and unrealistic features, such as establishing stationary velocity or streak locking. This study presents a technique for capturing the effects of a pressure-gradient force (PGF), associated with atmospheric patterns much larger than the computational domain for idealized simulations of near-surface phenomena. Four variants of this new PGF are compared to existing forcings, for turbulence statistics, spectra, and temporal averages of flow fields.