Lectures on Dynamical Meteorology
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
REVIEW the Quasigeostrophic Omega Equation: Reappraisal
VOLUME 143 MONTHLY WEATHER REVIEW JANUARY 2015 REVIEW The Quasigeostrophic Omega Equation: Reappraisal, Refinements, and Relevance HUW C. DAVIES Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland (Manuscript received 29 March 2014, in final form 1 September 2014) ABSTRACT A two-component study is undertaken of the classical quasigeostrophic (QG) omega equation. First, a reappraisal is undertaken of extant formulations of the equation’s so-called forcing function. It pinpoints shortcomings of various formulations and prompts consideration of alternative forms. Particular consider- ation is given to the contribution of flow deformation to the forcing function, and to the role of the advection of the geostrophic flow by the thermal wind (the R vector). The latter is closely related to the Q vector, the horizontal component of the ageostrophic vorticity, and the forcing function itself. The reexamination pro- motes further examination of the physical interpretation and diagnostic use of the omega equation particu- larly for assessing richly structured subsynoptic flow features. Second, consideration is given to the dynamics associated with the equation and its more general utility. It is shown that the R vector is intrinsic to a quasigeostrophic cascade to finer-scaled flow, and that a fundamental feature of the QG omega equation—the in-phase relationship between cloud-diabatic heating and the at- tendant vertical velocity—has important potential ramifications for the assimilation of data in numerical weather prediction (NWP) models. Finally, it is shown that, in the context of considering NWP model output, mild generalizations of the quasigeostrophic R vector retain interpretative value for flow settings beyond geostrophy and warrant consideration when addressing some contemporary NWP challenges. -
Lagrangian and Eulerian Representations of Fluid Flow: Part I, Kinematics and the Equations of Motion
Lagrangian and Eulerian Representations of Fluid Flow: Part I, Kinematics and the Equations of Motion James F. Price MS 29, Clark Laboratory Woods Hole Oceanographic Institution Woods Hole, MA, 02543 http://www.whoi.edu/science/PO/people/jprice [email protected] Version 7.4 September 13, 2005 Summary: This essay introduces the two methods that are commonly used to describe fluid flow, by observing the trajectories of parcels that are carried along with the flow or by observing the fluid velocity at fixed positions. These yield what are commonly termed Lagrangian and Eulerian descriptions. Lagrangian methods are often the most efficient way to sample a fluid domain and the physical conservation laws are inherently Lagrangian since they apply to specific material parcels rather than points in space. It happens, though, that the Lagrangian equations of motion applied to a continuum are quite difficult, and thus almost all of the theory (forward calculation) in fluid dynamics is developed within the Eulerian system. Eulerian solutions may be used to calculate Lagrangian properties, e.g., parcel trajectories, which is often a valuable step in the description of an Eulerian solution. Transformation to and from Lagrangian and Eulerian systems — the central theme of this essay — is thus the foundation of most theory in fluid dynamics and is a routine part of many investigations. The transformation of the Lagrangian conservation laws into the Eulerian equations of motion requires three key results. (1) The first is dubbed the Fundamental Principle of Kinematics; the velocity at a given position and time (the Eulerian velocity) is identically the velocity of the parcel (the Lagrangian velocity) that occupies that position at that time. -
OZO V.1.0: Software for Solving a Generalised Omega Equation and the Zwack–Okossi Height Tendency Equation Using WRF Model Output
Geosci. Model Dev., 10, 827–841, 2017 www.geosci-model-dev.net/10/827/2017/ doi:10.5194/gmd-10-827-2017 © Author(s) 2017. CC Attribution 3.0 License. OZO v.1.0: software for solving a generalised omega equation and the Zwack–Okossi height tendency equation using WRF model output Mika Rantanen1, Jouni Räisänen1, Juha Lento2, Oleg Stepanyuk1, Olle Räty1, Victoria A. Sinclair1, and Heikki Järvinen1 1Department of Physics, University Of Helsinki, Helsinki, Finland 2CSC – IT Center for Science, Espoo, Finland Correspondence to: Mika Rantanen (mika.p.rantanen@helsinki.fi) Received: 19 August 2016 – Discussion started: 29 September 2016 Revised: 3 February 2017 – Accepted: 6 February 2017 – Published: 21 February 2017 Abstract. A software package (OZO, Omega–Zwack– ucation, and the distribution of the software will be supported Okossi) was developed to diagnose the processes that af- by the authors. fect vertical motions and geopotential height tendencies in weather systems simulated by the Weather Research and Forecasting (WRF) model. First, this software solves a gen- eralised omega equation to calculate the vertical motions as- 1 Introduction sociated with different physical forcings: vorticity advection, thermal advection, friction, diabatic heating, and an imbal- Today, high-resolution atmospheric reanalyses provide a ance term between vorticity and temperature tendencies. Af- three-dimensional (3-D) view on the evolution of synoptic- ter this, the corresponding height tendencies are calculated scale weather systems (Dee et al., 2011; Rienecker et al., with the Zwack–Okossi tendency equation. The resulting 2011). On the other hand, simulations by atmospheric models height tendency components thus contain both the direct ef- allow for exploring the sensitivity of both real-world and ide- fect from the forcing itself and the indirect effects (related alised weather systems to factors such as the initial state (e.g. -
Derivation and Solution of the Omega Equation Associated with A
PUBLICATIONS Journal of Advances in Modeling Earth Systems RESEARCH ARTICLE Derivation and Solution of the Omega Equation Associated 10.1002/2017MS000992 With a Balance Theory on the Sphere Key Points: John F. Dostalek1 , Wayne H. Schubert2 , and Mark DeMaria3 A global balance theory, similar to quasi-geostrophic theory, can be 1Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, USA, 2Department of developed by decomposing the wind Atmospheric Science, Colorado State University, Fort Collins, CO, USA, 3National Hurricane Center, Miami, FL, USA into nondivergent and irrotational components A global omega equation, similar to the quasi-geostrophic omega Abstract The quasi-geostrophic omega equation has been used extensively to examine the large-scale equation, can be derived from the vertical velocity patterns of atmospheric systems. It is derived from the quasi-geostrophic equations, a global balance system The global omega equation may be balanced set of equations based on the partitioning of the horizontal wind into a geostrophic and an solved over the sphere using vertical ageostrophic component. Its use is limited to higher latitudes, however, as the geostrophic balance is normal modes and spherical undefined at the equator. In order to derive an omega equation which can be used at all latitudes, a new harmonics balanced set of equations is developed. Three key steps are used in the formulation. First, the horizontal wind is decomposed into a nondivergent and an irrotational component. Second, the Coriolis parameter is Correspondence to: J. F. Dostalek, assumed to be slowly varying, such that it may be moved in and out of horizontal derivative operators as [email protected] necessary to simplify the derivation. -
Lectures in Elementary Fluid Dynamics: Physics, Mathematics and Applications James M
University of Kentucky UKnowledge Mechanical Engineering Textbook Gallery Mechanical Engineering 2009 Lectures In Elementary Fluid Dynamics: Physics, Mathematics and Applications James M. McDonough University of Kentucky, [email protected] Right click to open a feedback form in a new tab to let us know how this document benefits oy u. Follow this and additional works at: https://uknowledge.uky.edu/me_textbooks Part of the Mechanical Engineering Commons Recommended Citation McDonough, James M., "Lectures In Elementary Fluid Dynamics: Physics, Mathematics and Applications" (2009). Mechanical Engineering Textbook Gallery. 1. https://uknowledge.uky.edu/me_textbooks/1 This Book is brought to you for free and open access by the Mechanical Engineering at UKnowledge. It has been accepted for inclusion in Mechanical Engineering Textbook Gallery by an authorized administrator of UKnowledge. For more information, please contact [email protected]. LECTURES IN ELEMENTARY FLUID DYNAMICS: Physics, Mathematics and Applications J. M. McDonough Departments of Mechanical Engineering and Mathematics University of Kentucky, Lexington, KY 40506-0503 c 1987, 1990, 2002, 2004, 2009 Contents 1 Introduction 1 1.1 ImportanceofFluids.............................. ...... 1 1.1.1 Fluidsinthepuresciences. ...... 2 1.1.2 Fluidsintechnology .. .. .. .. .. .. .. .. .... 3 1.2 TheStudyofFluids ................................ .... 4 1.2.1 Thetheoreticalapproach . ..... 5 1.2.2 Experimentalfluiddynamics . ..... 6 1.2.3 Computationalfluiddynamics . ..... 6 1.3 OverviewofCourse............................... -
An Essay on Lagrangian and Eulerian Kinematics of Fluid Flow
Lagrangian and Eulerian Representations of Fluid Flow: Kinematics and the Equations of Motion James F. Price Woods Hole Oceanographic Institution, Woods Hole, MA, 02543 [email protected], http://www.whoi.edu/science/PO/people/jprice June 7, 2006 Summary: This essay introduces the two methods that are widely used to observe and analyze fluid flows, either by observing the trajectories of specific fluid parcels, which yields what is commonly termed a Lagrangian representation, or by observing the fluid velocity at fixed positions, which yields an Eulerian representation. Lagrangian methods are often the most efficient way to sample a fluid flow and the physical conservation laws are inherently Lagrangian since they apply to moving fluid volumes rather than to the fluid that happens to be present at some fixed point in space. Nevertheless, the Lagrangian equations of motion applied to a three-dimensional continuum are quite difficult in most applications, and thus almost all of the theory (forward calculation) in fluid mechanics is developed within the Eulerian system. Lagrangian and Eulerian concepts and methods are thus used side-by-side in many investigations, and the premise of this essay is that an understanding of both systems and the relationships between them can help form the framework for a study of fluid mechanics. 1 The transformation of the conservation laws from a Lagrangian to an Eulerian system can be envisaged in three steps. (1) The first is dubbed the Fundamental Principle of Kinematics; the fluid velocity at a given time and fixed position (the Eulerian velocity) is equal to the velocity of the fluid parcel (the Lagrangian velocity) that is present at that position at that instant. -
Dynamics of Ideal Fluids
2 Dynamics of Ideal Fluids The basic goal of any fluid-dynamical study is to provide (1) a complete description of the motion of the fluid at any instant of time, and hence of the kinematics of the flow, and (2) a description of how the motion changes in time in response to applied forces, and hence of the dynamics of the flow. We begin our study of astrophysical fluid dynamics by analyzing the motion of a compressible ideal fluid (i.e., a nonviscous and nonconducting gas); this allows us to formulate very simply both the basic conservation laws for the mass, momentum, and energy of a fluid parcel (which govern its dynamics) and the essentially geometrical relationships that specify its kinematics. Because we are concerned here with the macroscopic proper- ties of the flow of a physically uncomplicated medium, it is both natural and advantageous to adopt a purely continuum point of view. In the next chapter, where we seek to understand the important role played by internal processes of the gas in transporting energy and momentum within the fluid, we must carry out a deeper analysis based on a kinetic-theory view; even then we shall see that the continuum approach yields useful results and insights. We pursue this line of inquiry even further in Chapters 6 and 7, where we extend the analysis to include the interaction between radiation and both the internal state, and the macroscopic dynamics, of the material. 2.1 Kinematics 15. Veloci~y and Acceleration 1n developing descriptions of fluid motion it is fruitful to work in two different frames of reference, each of which has distinct advantages in certain situations. -
A New Method of Calculating Vertical Motion in Isentropic Space
A NEW METHOD OF CALCULATING VERTICAL MOTION IN ISENTROPIC SPACE _______________________________________ A Thesis presented to the Faculty of the Graduate School at the University of Missouri-Columbia _______________________________________________________ In Partial Fulfillment of the Requirements for the Degree Soil, Environmental, and Atmospheric Sciences _____________________________________________________ by MICHEAL JOSEPH SIMPSON Dr. Patrick Market, Thesis Supervisor MAY 2014 The undersigned, appointed by the dean of the Graduate School, have examined the thesis entitled A New Method of Calculating Vertical Motion in Isentropic Space presented by Micheal Simpson, a candidate for the degree of master of atmospheric science, and hereby certify that, in their opinion, it is worthy of acceptance. Professor Patrick Market Professor Anthony Lupo Professor Jason Hubbart Professor Scott Rochette This thesis is dedicated to my parents, who have never stopped believing in me. Without their love and support, the opportunity to write this paper would not have been possible. ACKNOWLEDGEMENTS The Weather Forecast Office in Springfield, Missouri provided the impetus for the writing of this paper; without the individuals at this office, this paper would not have been possible. I am eternally grateful to everyone at the Springfield WFO. Dr. Scott Rochette and Dr. Patrick Market must be thanked for serving as my advisors and helping me get to where I am today. My committee members: Dr. Patrick Market, Dr. Scott Rochette, Dr. Anthony Lupo, and Dr. Jason Hubbart for taking the time and effort to be on my committee; their guidance as professionals is inspiring and appreciated beyond words. Dr. Neil Fox and Andrew Jensen have helped with the writing and mathematics of this paper, and their help is greatly appreciated. -
Applying Trenberth's Approximation of the Omega Equation
Western Region Technical Attachment No. 91-48 December 10, 1991 APPLYING TRENBERTH'S APPROXIMATION OF THE OMEGA EQUATION The quasi-geostrophic omega equation is a valuable tool for diagnosing areas of synoptic scale vertical motion from common weather maps. The most traditional way of estimating vertical motion is to identify areas of positive (or cyclonic) vorticity advection (PVA) at 500mb. However, the quasi-geostrophic vertical motion in the omega equation is actually related to the PVA increasing with height and the Laplacian of temperature advection. Many studies have shown that the temperature advection term can be as important to the overall vertical motion field as the PVA term and, in many cases, may cancel the contribution from the PVA term. Furthermore, the 500mb PVA pattern doesn't always look the same as the pattern of where PVA is increasing with height (for example, Durran and Snellman, 1987). Thus, several ways of interpreting the complete quasi-geostrophic omega equation that do not rely on a two-term approach have been developed. Although the Q-vector method is accurate (see WRTA 90-07), it is difficult to apply with current forecast maps available on AFOS. Perhaps the easiest to use with forecast maps that are currently available on AFOS is the Trenberth approximation (Trenberth, 1978). Trenberth shows that the advection of positive (cyclonic) vorticity by the thermal wind is a relatively good approximation to the sum of the PVA and temperature advection terms of the full omega equation. This approximation is most valid in the middle atmosphere between about 600mb and 400mb. -
Lagrangian and Eulerian Representations of Fluid Flow: James F
Lagrangian and Eulerian Representations of Fluid Flow: James F. Price MS 29, Clark Laboratory Woods Hole Oceanographic Institution Woods Hole, Massachusetts, USA, 02543 http://www.whoi.edu/science/PO/people/jprice [email protected] Version 3.5 December 22, 2004 Summary: This essay considers the two major ways that the motion of a fluid continuum may be described, either by observing or predicting the trajectories of parcels that are carried about with the flow – which yields a Lagrangian or material representation of the flow — or by observing or predicting the fluid velocity at fixed points in space — which yields an Eulerian or field representation of the flow. Lagrangian methods are often the most efficient way to sample a fluid domain and most of the physical conservation laws begin with a Lagrangian perspective. Nevertheless, almost all of the theory in fluid dynamics is developed in Eulerian or field form. The premise of this essay is that it is helpful to understand both systems, and the transformation between systems is the central theme. The transformation from a Lagrangian to an Eulerian system requires three key results. 1) The first is dubbed the Fundamental Principle of Kinematics; the velocity at a given position and time (sometimes called the Eulerian velocity) is equal to the velocity of the parcel that occupies that position at that time (often called the Lagrangian velocity). 2) The material or substantial derivative relates the time rate of change observed following a moving parcel to the time rate of change observed at a fixed position; D()/Dt = ∂()/∂t + V ·∇(), where the advective rate of change is in field coordinates. -
The Q-Vector Form of the Quasi-Geostrophic Omega Equation
Synoptic Meteorology II: The Q-Vector Form of the Omega Equation Readings: Section 2.3 of Midlatitude Synoptic Meteorology. Motivation: Why Do We Need Another Omega Equation? The quasi-geostrophic omega equation is an excellent diagnostic tool and has served as the one of the foundations for introductory synoptic-scale weather analysis for over 50 years. However, it is not infallible. Rather, it has two primary shortcomings: • The two primary forcing terms in the omega equation, the differential geostrophic-vorticity advection and Laplacian of the potential-temperature advection terms, often have different signs from one another. Without computing each term’s actual magnitude, it is impossible to assess which one is larger (and is the primary control on synoptic-scale vertical motions). • The terms in the omega equation are sensitive to the reference frame – stationary or moving with the flow – in which they are computed. In other words, different results are obtained if the reference frame is changed, even if the meteorological features are the same! This is not a primary concern for us, however, as we are primarily considering stationary reference frames (e.g., as depicted on standard weather charts). These shortcomings motivate a desire to obtain a new equation for synoptic-scale vertical motions that does not have these problems. This equation, known as the Q-vector form of the quasi- geostrophic omega equation, is derived below. Obtaining The Q-Vector Form of the Quasi-Geostrophic Omega Equation To obtain the Q-vector form of the quasi-geostrophic omega equation, we will start with the quasi- geostrophic horizontal momentum and thermodynamic equations. -
Geometric Lagrangian Averaged Euler-Boussinesq and Primitive Equations 2
Geometric Lagrangian averaged Euler-Boussinesq and primitive equations Gualtiero Badin Center for Earth System Research and Sustainability (CEN), University of Hamburg, D-20146 Hamburg, Germany E-mail: [email protected] Marcel Oliver School of Engineering and Science, Jacobs University, D-28759 Bremen, Germany E-mail: [email protected] Sergiy Vasylkevych Center for Earth System Research and Sustainability (CEN), University of Hamburg, D-20146 Hamburg, Germany E-mail: [email protected] 11 September 2018 Abstract. In this article we derive the equations for a rotating stratified fluid governed by inviscid Euler-Boussinesq and primitive equations that account for the effects of the perturbations upon the mean. Our method is based on the concept of geometric generalized Lagrangian mean recently introduced by Gilbert and Vanneste, combined with generalized Taylor and horizontal isotropy of fluctuations as turbulent closure hypotheses. The models we obtain arise as Euler-Poincar´e equations and inherit from their parent systems conservation laws for energy and potential vorticity. They are structurally and geometrically similar to Euler-Boussinesq-α and primitive equations-α models, however feature a different regularizing second order operator. arXiv:1806.05053v2 [physics.flu-dyn] 10 Sep 2018 Keywords: Lagrangian averaging, stratified geophysical flows, turbulence, Euler- Poincar´eequations 1. Introduction The goal of this article is to derive a self-consistent system of equations for the flow of an inviscid stratified fluid that accounts for the effects of the perturbations upon the mean. To this end, each realization of the flow is decomposed into the mean part and a small fluctuation. The effects of the fluctuations on the mean flow is then described by an appropriate mean flow theory.