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How Does Convective Self-Aggregation Affect Precipitation Extremes?
EGU21-5216 https://doi.org/10.5194/egusphere-egu21-5216 EGU General Assembly 2021 © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License. How does convective self-aggregation affect precipitation extremes? Nicolas Da Silva1, Sara Shamekh2, Caroline Muller2, and Benjamin Fildier2 1Centre for Ocean and Atmospheric Sciences, School of Environmental Sciences, University of East Anglia, Norwich, United Kingdom 2Laboratoire de Météorologie Dynamique (LMD)/Institut Pierre Simon Laplace (IPSL), École Normale Supérieure, Paris Sciences & Lettres (PSL) Research University, Sorbonne Université, École Polytechnique, CNRS, Paris, France Convective organisation has been associated with extreme precipitation in the tropics. Here we investigate the impact of convective self-aggregation on extreme rainfall rates. We find that convective self-aggregation significantly increases precipitation extremes, for 3-hourly accumulations but also for instantaneous rates (+ 30 %). We show that this latter enhanced instantaneous precipitation is mainly due to the local increase in relative humidity which drives larger accretion efficiency and lower re-evaporation and thus a higher precipitation efficiency. An in-depth analysis based on an adapted scaling of precipitation extremes, reveals that the dynamic contribution decreases (- 25 %) while the thermodynamic is slightly enhanced (+ 5 %) with convective aggregation, leading to lower condensation rates (- 20 %). When the atmosphere is more organized into a moist convecting region, and a dry convection-free region, deep convective updrafts are surrounded by a warmer environment which reduces convective instability and thus the dynamic contribution. The moister boundary-layer explains the positive thermodynamic contribution. The microphysic contribution is increased by + 50 % with aggregation. The latter is partly due to reduced evaporation of rain falling through a moister near-cloud environment (+ 30 %), but also to the associated larger accretion efficiency (+ 20 %). -
Soaring Weather
Chapter 16 SOARING WEATHER While horse racing may be the "Sport of Kings," of the craft depends on the weather and the skill soaring may be considered the "King of Sports." of the pilot. Forward thrust comes from gliding Soaring bears the relationship to flying that sailing downward relative to the air the same as thrust bears to power boating. Soaring has made notable is developed in a power-off glide by a conven contributions to meteorology. For example, soar tional aircraft. Therefore, to gain or maintain ing pilots have probed thunderstorms and moun altitude, the soaring pilot must rely on upward tain waves with findings that have made flying motion of the air. safer for all pilots. However, soaring is primarily To a sailplane pilot, "lift" means the rate of recreational. climb he can achieve in an up-current, while "sink" A sailplane must have auxiliary power to be denotes his rate of descent in a downdraft or in come airborne such as a winch, a ground tow, or neutral air. "Zero sink" means that upward cur a tow by a powered aircraft. Once the sailcraft is rents are just strong enough to enable him to hold airborne and the tow cable released, performance altitude but not to climb. Sailplanes are highly 171 r efficient machines; a sink rate of a mere 2 feet per second. There is no point in trying to soar until second provides an airspeed of about 40 knots, and weather conditions favor vertical speeds greater a sink rate of 6 feet per second gives an airspeed than the minimum sink rate of the aircraft. -
Principles of Instability and Stability in Digital PID Control Strategies and Analysis for a Continuous Alcoholic Fermentation Tank Process Start-Up
Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 29 July 2019 doi:10.20944/preprints201809.0332.v2 Principles of Instability and Stability in Digital PID Control Strategies and Analysis for a Continuous Alcoholic Fermentation Tank Process Start-up Alexandre C. B. B. Filhoa a Faculty of Chemical Engineering, Federal University of Uberlândia (UFU), Av. João Naves de Ávila 2121 Bloco 1K, Uberlândia, MG, Brazil. [email protected] Abstract The art work of this present paper is to show properly conditions and aspects to reach stability in the process control, as also to avoid instability, by using digital PID controllers, with the intention of help the industrial community. The discussed control strategy used to reach stability is to manipulate variables that are directly proportional to their controlled variables. To validate and to put the exposed principles into practice, it was done two simulations of a continuous fermentation tank process start-up with the yeast strain S. Cerevisiae NRRL-Y-132, in which the substrate feed stream contains different types of sugar derived from cane bagasse hydrolysate. These tests were carried out through the resolution of conservation laws, more specifically mass and energy balances, in which the fluid temperature and level inside the tank were the controlled variables. The results showed the facility in stabilize the system by following the exposed proceedings. Keywords: Digital PID; PID controller; Instability; Stability; Alcoholic fermentation; Process start-up. © 2019 by the author(s). Distributed under a Creative Commons CC BY license. Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 29 July 2019 doi:10.20944/preprints201809.0332.v2 1. -
Control Theory
Control theory S. Simrock DESY, Hamburg, Germany Abstract In engineering and mathematics, control theory deals with the behaviour of dynamical systems. The desired output of a system is called the reference. When one or more output variables of a system need to follow a certain ref- erence over time, a controller manipulates the inputs to a system to obtain the desired effect on the output of the system. Rapid advances in digital system technology have radically altered the control design options. It has become routinely practicable to design very complicated digital controllers and to carry out the extensive calculations required for their design. These advances in im- plementation and design capability can be obtained at low cost because of the widespread availability of inexpensive and powerful digital processing plat- forms and high-speed analog IO devices. 1 Introduction The emphasis of this tutorial on control theory is on the design of digital controls to achieve good dy- namic response and small errors while using signals that are sampled in time and quantized in amplitude. Both transform (classical control) and state-space (modern control) methods are described and applied to illustrative examples. The transform methods emphasized are the root-locus method of Evans and fre- quency response. The state-space methods developed are the technique of pole assignment augmented by an estimator (observer) and optimal quadratic-loss control. The optimal control problems use the steady-state constant gain solution. Other topics covered are system identification and non-linear control. System identification is a general term to describe mathematical tools and algorithms that build dynamical models from measured data. -
Downloaded 09/29/21 11:17 PM UTC 4144 MONTHLY WEATHER REVIEW VOLUME 128 Ferentiate Among Our Concerns About the Application of TABLE 1
DECEMBER 2000 NOTES AND CORRESPONDENCE 4143 The Intricacies of Instabilities DAVID M. SCHULTZ NOAA/National Severe Storms Laboratory, Norman, Oklahoma PHILIP N. SCHUMACHER NOAA/National Weather Service, Sioux Falls, South Dakota CHARLES A. DOSWELL III NOAA/National Severe Storms Laboratory, Norman, Oklahoma 19 April 2000 and 30 May 2000 ABSTRACT In response to Sherwood's comments and in an attempt to restore proper usage of terminology associated with moist instability, the early history of moist instability is reviewed. This review shows that many of Sherwood's concerns about the terminology were understood at the time of their origination. De®nitions of conditional instability include both the lapse-rate de®nition (i.e., the environmental lapse rate lies between the dry- and the moist-adiabatic lapse rates) and the available-energy de®nition (i.e., a parcel possesses positive buoyant energy; also called latent instability), neither of which can be considered an instability in the classic sense. Furthermore, the lapse-rate de®nition is really a statement of uncertainty about instability. The uncertainty can be resolved by including the effects of moisture through a consideration of the available-energy de®nition (i.e., convective available potential energy) or potential instability. It is shown that such misunderstandings about conditional instability were likely due to the simpli®cations resulting from the substitution of lapse rates for buoyancy in the vertical acceleration equation. Despite these valid concerns about the value of the lapse-rate de®nition of conditional instability, consideration of the lapse rate and moisture separately can be useful in some contexts (e.g., the ingredients-based methodology for forecasting deep, moist convection). -
Static Stability (I) the Concept of Stability (Ii) the Parcel Technique (A
ATSC 5160 – supplement: static stability Static stability (i) The concept of stability The concept of (local) stability is an important one in meteorology. In general, the word stability is used to indicate a condition of equilibrium. A system is stable if it resists changes, like a ball in a depression. No matter in which direction the ball is moved over a small distance, when released it will roll back into the centre of the depression, and it will oscillate back and forth, until it eventually stalls. A ball on a hill, however, is unstably located. To some extent, a parcel of air behaves exactly like this ball. Certain processes act to make the atmosphere unstable; then the atmosphere reacts dynamically and exchanges potential energy into kinetic energy, in order to restore equilibrium. For instance, the development and evolution of extratropical fronts is believed to be no more than an atmospheric response to a destabilizing process; this process is essentially the atmospheric heating over the equatorial region and the cooling over the poles. Here, we are only concerned with static stability, i.e. no pre-existing motion is required, unlike other types of atmospheric instability, like baroclinic or symmetric instability. The restoring atmospheric motion in a statically stable atmosphere is strictly vertical. When the atmosphere is statically unstable, then any vertical departure leads to buoyancy. This buoyancy leads to vertical accelerations away from the point of origin. In the context of this chapter, stability is used interchangeably -
Local and Global Instability of Buoyant Jets and Plumes
XXIV ICTAM, 21-26 August 2016, Montreal, Canada LOCAL AND GLOBAL INSTABILITY OF BUOYANT JETS AND PLUMES Patrick Huerre1a), R.V.K. Chakravarthy1 & Lutz Lesshafft 1 1Laboratoire d’Hydrodynamique (LadHyX), Ecole Polytechnique, Paris, France Summary The local and global linear stability of buoyant jets and plumes has been studied as a function of the Richardson number Ri and density ratio S in the low Mach number approximation. Only the m = 0 axisymmetric mode is shown to become globally unstable, provided that the local absolute instability is strong enough. The helical mode of azimuthal wavenumber m = 1 is always globally stable. A sensitivity analysis indicates that in buoyant jets (low Ri), shear is the dominant contributor to the growth rate, while, for plumes (large Ri), it is the buoyancy. A theoretical prediction of the Strouhal number of the self-sustained oscillations in helium jets is obtained that is in good agreement with experimental observations over seven decades of Richardson numbers. INTRODUCTION Buoyant jets and plumes occur in a wide variety of environmental and industrial contexts, for instance fires, accidental gas releases, ventilation flows, geothermal vents, and volcanic eruptions. Understanding the onset of instabilities leading to turbulence is a research challenge of great practical and fundamental interest. Somewhat surprisingly, there have been relatively few studies of the linear stability properties of buoyant jets and plumes, in contrast to the related purely momentum driven classical jet. In the present study, local and global stability analyses are conducted to account for the self-sustained oscillations experimentally observed in buoyant jets of helium and helium-air mixtures [1]. -
Convective to Absolute Instability Transition in a Horizontal Porous Channel with Open Upper Boundary
fluids Article Convective to Absolute Instability Transition in a Horizontal Porous Channel with Open Upper Boundary Antonio Barletta * and Michele Celli Department of Industrial Engineering, Alma Mater Studiorum Università di Bologna, Viale Risorgimento 2, 40136 Bologna, Italy; [email protected] * Correspondence: [email protected]; Tel.: +39-051-209-3287 Academic Editor: Mehrdad Massoudi Received: 28 April 2017; Accepted: 10 June 2017; Published: 14 June 2017 Abstract: A linear stability analysis of the parallel uniform flow in a horizontal channel with open upper boundary is carried out. The lower boundary is considered as an impermeable isothermal wall, while the open upper boundary is subject to a uniform heat flux and it is exposed to an external horizontal fluid stream driving the flow. An eigenvalue problem is obtained for the two-dimensional transverse modes of perturbation. The study of the analytical dispersion relation leads to the conditions for the onset of convective instability as well as to the determination of the parametric threshold for the transition to absolute instability. The results are generalised to the case of three-dimensional perturbations. Keywords: porous medium; Rayleigh number; absolute instability 1. Introduction Cellular convection patterns may develop in an underlying horizontal flow under appropriate thermal boundary conditions. The classic setup for the thermal instability of a horizontal fluid flow is heating from below, and the well-known type of instability is Rayleigh-Bénard [1]. Such a situation can happen in a channel fluid flow or in the filtration of a fluid within a porous channel. Both cases are widely documented in the literature [1,2]. -
Astrophysical Fluid Dynamics: II. Magnetohydrodynamics
Winter School on Computational Astrophysics, Shanghai, 2018/01/30 Astrophysical Fluid Dynamics: II. Magnetohydrodynamics Xuening Bai (白雪宁) Institute for Advanced Study (IASTU) & Tsinghua Center for Astrophysics (THCA) source: J. Stone Outline n Astrophysical fluids as plasmas n The MHD formulation n Conservation laws and physical interpretation n Generalized Ohm’s law, and limitations of MHD n MHD waves n MHD shocks and discontinuities n MHD instabilities (examples) 2 Outline n Astrophysical fluids as plasmas n The MHD formulation n Conservation laws and physical interpretation n Generalized Ohm’s law, and limitations of MHD n MHD waves n MHD shocks and discontinuities n MHD instabilities (examples) 3 What is a plasma? Plasma is a state of matter comprising of fully/partially ionized gas. Lightening The restless Sun Crab nebula A plasma is generally quasi-neutral and exhibits collective behavior. Net charge density averages particles interact with each other to zero on relevant scales at long-range through electro- (i.e., Debye length). magnetic fields (plasma waves). 4 Why plasma astrophysics? n More than 99.9% of observable matter in the universe is plasma. n Magnetic fields play vital roles in many astrophysical processes. n Plasma astrophysics allows the study of plasma phenomena at extreme regions of parameter space that are in general inaccessible in the laboratory. 5 Heliophysics and space weather l Solar physics (including flares, coronal mass ejection) l Interaction between the solar wind and Earth’s magnetosphere l Heliospheric -
Range Forecasts of the Pre-‐Convective Environment Using SEVIRI Data
Enhancing objective short-range forecasts of the pre-convective environment using SEVIRI data Ralph A. Petersen1, Robert Aune2 and Thomas Rink1 1 Cooperative Institute for Meteorological Satellite Studies (CIMSS), University of Wisconsin – Madison 2 NOAA/NESDIS/STAR, Advanced Satellite Products Team, Madison, Wisconsin ABSTRACT: This paper describes development efforts and evaluation results made with the CIMSS NearCasting system during the last year. Tests of the 1-9 hours forecasts of GOES products were made at US National Weather Servicer (NWS) Forecast Offices, CIMMS, and both the Storm Prediction Center (SPC) and the Aviation Weather Center (AWC) divisions of the National Centers for Environmental Prediction (NCEP). The tests at the two centers focused both on where/when severe convection will occur, as well as all forms of deep convection will and will not occur. The results showed that the prediction period could be successfully increased from 6 to 9 hours, that the analysis improved by increasing the number of observations projected forward from previous, that the NearCast wind fields can provide information about low-level triggering mechanisms and storm severity, that the NearCasts enhanced NWP guidance by isolating which forecasts areas were and were not likely to experience convection and when, and that successful use of the NearCasting tools requires increased forecaster training and education - both about the NearCast system itself and interpreting satellite observations and derived products. INTRODUCTION: This paper provides an update to Petersen et al., 2010. During the past year, primary emphasis of CIMSS NearCasting activities has focused on testing and evaluation of the short-range forecasting system internally at CIMSS, at local US National Weather Servicer (NWS) Forecast Offices, and both the Storm Prediction Center (SPC) and the Aviation Weather Center (AWC) divisions of the National Centers for Environmental Prediction (NCEP). -
Methods for Diagnosing Regions of Conditional Symmetric Instability
Methods for Diagnosing Regions of Conditional Symmetric Instability James T. Moore Cooperative Institute for Precipitation Systems Saint Louis University Dept. of Earth & Atmospheric Sciences Ted Funk Science and Operations Officer WFO Louisville, KY Spectrum of Instabilities Which Can Result in Enhanced Precipitation • Inertial Instability • Potential Symmetric Instability • Conditional Symmetric Instability • Weak Symmetric Stability • Elevated Convective Instability 1 Inertial Instability Inertial instability is the horizontal analog to gravitational instability; i.e., if a parcel is displaced horizontally from its geostrophically balanced base state, will it return to its original position or will it accelerate further from that position? Inertially unstable regions are diagnosed where: .g + f < 0 ; absolute geostrophic vorticity < 0 OR if we define Mg = vg + fx = absolute geostrophic momentum, then inertially unstable regions are diagnosed where: MMg/ Mx = Mvg/ Mx + f < 0 ; since .g = Mvg/ Mx (NOTE: vg = geostrophic wind normal to the thermal gradient) x = a fixed point; for wind increasing with height, Mg surfaces become more horizontal (i.e., Mg increases with height) Inertial Instability (cont.) Inertial stability is weak or unstable typically in two regions (Blanchard et al. 1998, MWR): .g + f = (V/Rs - MV/ Mn) + f ; in natural coordinates where V/Rs = curvature term and MV/ Mn = shear term • Equatorward of a westerly wind maximum (jet streak) where the anticyclonic relative geostrophic vorticity is large (to offset the Coriolis -
Symmetric Stability/00176
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