Outline the Dynamic Tropopause and Potential Vorticity: an Introduction
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On the Relationship Between Gravity Waves and Tropopause Height and Temperature Over the Globe Revealed by COSMIC Radio Occultation Measurements
atmosphere Article On the Relationship between Gravity Waves and Tropopause Height and Temperature over the Globe Revealed by COSMIC Radio Occultation Measurements Daocheng Yu 1, Xiaohua Xu 1,2,*, Jia Luo 1,3,* and Juan Li 1 1 School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan 430079, China; [email protected] (D.Y.); [email protected] (J.L.) 2 Collaborative Innovation Center for Geospatial Technology, 129 Luoyu Road, Wuhan 430079, China 3 Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, 129 Luoyu Road, Wuhan 430079, China * Correspondence: [email protected] (X.X.); [email protected] (J.L.); Tel.: +86-27-68758520 (X.X.); +86-27-68778531 (J.L.) Received: 4 January 2019; Accepted: 6 February 2019; Published: 12 February 2019 Abstract: In this study, the relationship between gravity wave (GW) potential energy (Ep) and the tropopause height and temperature over the globe was investigated using COSMIC radio occultation (RO) dry temperature profiles during September 2006 to May 2013. The monthly means of GW Ep with a vertical resolution of 1 km and tropopause parameters were calculated for each 5◦ × 5◦ longitude-latitude grid. The correlation coefficients between Ep values at different altitudes and the tropopause height and temperature were calculated accordingly in each grid. It was found that at middle and high latitudes, GW Ep over the altitude range from lapse rate tropopause (LRT) to several km above had a significantly positive/negative correlation with LRT height (LRT-H)/ LRT temperature (LRT-T) and the peak correlation coefficients were determined over the altitudes of 10–14 km with distinct zonal distribution characteristics. -
Heat Advection Processes Leading to El Niño Events As
1 2 Title: 3 Heat advection processes leading to El Niño events as depicted by an ensemble of ocean 4 assimilation products 5 6 Authors: 7 Joan Ballester (1,2), Simona Bordoni (1), Desislava Petrova (2), Xavier Rodó (2,3) 8 9 Affiliations: 10 (1) California Institute of Technology (Caltech), Pasadena, California, United States 11 (2) Institut Català de Ciències del Clima (IC3), Barcelona, Catalonia, Spain 12 (3) Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Catalonia, Spain 13 14 Corresponding author: 15 Joan Ballester 16 California Institute of Technology (Caltech) 17 1200 E California Blvd, Pasadena, CA 91125, US 18 Mail Code: 131-24 19 Tel.: +1-626-395-8703 20 Email: [email protected] 21 22 Manuscript 23 Submitted to Journal of Climate 24 1 25 26 Abstract 27 28 The oscillatory nature of El Niño-Southern Oscillation results from an intricate 29 superposition of near-equilibrium balances and out-of-phase disequilibrium processes between the 30 ocean and the atmosphere. Several authors have shown that the heat content stored in the equatorial 31 subsurface is key to provide memory to the system. Here we use an ensemble of ocean assimilation 32 products to describe how heat advection is maintained in each dataset during the different stages of 33 the oscillation. 34 Our analyses show that vertical advection due to surface horizontal convergence and 35 downwelling motion is the only process contributing significantly to the initial subsurface warming 36 in the western equatorial Pacific. This initial warming is found to be advected to the central Pacific 37 by the equatorial undercurrent, which, together with the equatorward advection associated with 38 anomalies in both the meridional temperature gradient and circulation at the level of the 39 thermocline, explains the heat buildup in the central Pacific during the recharge phase. -
Popular Summary of “Extratropical Stratosphere-Troposphere Mass Exchange”
Popular Summary of “Extratropical Stratosphere-Troposphere Mass Exchange” Mark Schoeberl Understanding the exchange of gases between the stratosphere and the troposphere is important for determining how pollutants enter the stratosphere and how they leave. This study does a global analysis of that the exchange of mass between the stratosphere and the troposphere. While the exchange of mass is not the same as the exchange of constituents, you can’t get the constituent exchange right if you have the mass exchange wrong. Thus this kind of calculation is an important test for models which also compute trace gas transport. In this study I computed the mass exchange for two assimilated data sets and a GCM. The models all agree that amount of mass descending from the stratosphere to the troposphere in the Northern Hemisphere extra tropics is -1 0” kg/s averaged over a year. The value for the Southern Hemisphere by about a factor of two. ( 10” kg of air is the amount of air in 100 km x 100 km area with a depth of 100 m - roughly the size of the D.C. metro area to a depth of 300 feet.) Most people have the idea that most of the mass enters the stratosphere through the tropics. But this study shows that almost 5 times more mass enters the stratosphere through the extra-tropics. This mass, however, is quickly recycled out again. Thus the lower most stratosphere is a mixture of upper stratospheric air and tropospheric air. This is an important result for understanding the chemistry of the lower stratosphere. -
The Tropical Tropopause Layer in Reanalysis Data Sets
https://doi.org/10.5194/acp-2019-580 Preprint. Discussion started: 4 July 2019 c Author(s) 2019. CC BY 4.0 License. 1 2 The tropical tropopause layer in reanalysis data sets 3 4 Susann Tegtmeier1, James Anstey2, Sean Davis3, Rossana Dragani4, Yayoi Harada5, Ioana 5 Ivanciu1, Robin Pilch Kedzierski1, Kirstin Krüger6, Bernard Legras7, Craig Long8, James S. 6 Wang9, Krzysztof Wargan10,11, and Jonathon S. Wright12 7 8 9 1 10 GEOMAR Helmholtz Centre for Ocean Research Kiel, 24105 Kiel, Germany 11 2Canadian Centre for Climate Modelling and Analysis, ECCC, Victoria, Canada 12 3Earth System Research Laboratory, National Oceanic and Atmospheric Administration, 13 Boulder, CO 80305, USA 14 4European Centre for Medium-Range Weather Forecasts, Reading, RG2 9AX, UK 15 5Japan Meteorological Agency, Tokyo, 100-8122, Japan 16 6 Section for Meteorology and Oceanography, Department of Geosciences, University of Oslo, 17 0315 Oslo, Norway 18 7Laboratoire de Météorologie Dynamique, CNRS/PSL-ENS, Sorbonne University Ecole 19 Polytechnique, France 20 8Climate Prediction Center, National Centers for Environmental Prediction, National Oceanic 21 and Atmospheric Administration, College Park, MD 20740, USA 22 9Institute for Advanced Sustainability Studies, Potsdam, Germany 23 10Science Systems and Applications, Inc., Lanham, MD 20706, USA 24 11Global Modeling and Assimilation Office, Code 610.1, NASA Goddard Space Flight 25 Center, Greenbelt, MD 20771, USA 26 12Department of Earth System Science, Tsinghua University, Beijing, 100084, China 27 28 29 30 31 32 33 34 35 36 37 1 https://doi.org/10.5194/acp-2019-580 Preprint. Discussion started: 4 July 2019 c Author(s) 2019. CC BY 4.0 License. -
Chapter 8 Atmospheric Statics and Stability
Chapter 8 Atmospheric Statics and Stability 1. The Hydrostatic Equation • HydroSTATIC – dw/dt = 0! • Represents the balance between the upward directed pressure gradient force and downward directed gravity. ρ = const within this slab dp A=1 dz Force balance p-dp ρ p g d z upward pressure gradient force = downward force by gravity • p=F/A. A=1 m2, so upward force on bottom of slab is p, downward force on top is p-dp, so net upward force is dp. • Weight due to gravity is F=mg=ρgdz • Force balance: dp/dz = -ρg 2. Geopotential • Like potential energy. It is the work done on a parcel of air (per unit mass, to raise that parcel from the ground to a height z. • dφ ≡ gdz, so • Geopotential height – used as vertical coordinate often in synoptic meteorology. ≡ φ( 2 • Z z)/go (where go is 9.81 m/s ). • Note: Since gravity decreases with height (only slightly in troposphere), geopotential height Z will be a little less than actual height z. 3. The Hypsometric Equation and Thickness • Combining the equation for geopotential height with the ρ hydrostatic equation and the equation of state p = Rd Tv, • Integrating and assuming a mean virtual temp (so it can be a constant and pulled outside the integral), we get the hypsometric equation: • For a given mean virtual temperature, this equation allows for calculation of the thickness of the layer between 2 given pressure levels. • For two given pressure levels, the thickness is lower when the virtual temperature is lower, (ie., denser air). • Since thickness is readily calculated from radiosonde measurements, it provides an excellent forecasting tool. -
Comparison Between Observed Convective Cloud-Base Heights and Lifting Condensation Level for Two Different Lifted Parcels
AUGUST 2002 NOTES AND CORRESPONDENCE 885 Comparison between Observed Convective Cloud-Base Heights and Lifting Condensation Level for Two Different Lifted Parcels JEFFREY P. C RAVEN AND RYAN E. JEWELL NOAA/NWS/Storm Prediction Center, Norman, Oklahoma HAROLD E. BROOKS NOAA/National Severe Storms Laboratory, Norman, Oklahoma 6 January 2002 and 16 April 2002 ABSTRACT Approximately 400 Automated Surface Observing System (ASOS) observations of convective cloud-base heights at 2300 UTC were collected from April through August of 2001. These observations were compared with lifting condensation level (LCL) heights above ground level determined by 0000 UTC rawinsonde soundings from collocated upper-air sites. The LCL heights were calculated using both surface-based parcels (SBLCL) and mean-layer parcels (MLLCLÐusing mean temperature and dewpoint in lowest 100 hPa). The results show that the mean error for the MLLCL heights was substantially less than for SBLCL heights, with SBLCL heights consistently lower than observed cloud bases. These ®ndings suggest that the mean-layer parcel is likely more representative of the actual parcel associated with convective cloud development, which has implications for calculations of thermodynamic parameters such as convective available potential energy (CAPE) and convective inhibition. In addition, the median value of surface-based CAPE (SBCAPE) was more than 2 times that of the mean-layer CAPE (MLCAPE). Thus, caution is advised when considering surface-based thermodynamic indices, despite the assumed presence of a well-mixed afternoon boundary layer. 1. Introduction dry-adiabatic temperature pro®le (constant potential The lifting condensation level (LCL) has long been temperature in the mixed layer) and a moisture pro®le used to estimate boundary layer cloud heights (e.g., described by a constant mixing ratio. -
Contribution of Horizontal Advection to the Interannual Variability of Sea Surface Temperature in the North Atlantic
964 JOURNAL OF PHYSICAL OCEANOGRAPHY VOLUME 33 Contribution of Horizontal Advection to the Interannual Variability of Sea Surface Temperature in the North Atlantic NATHALIE VERBRUGGE Laboratoire d'Etudes en GeÂophysique et OceÂanographie Spatiales, Toulouse, France GILLES REVERDIN Laboratoire d'Etudes en GeÂophysique et OceÂanographie Spatiales, Toulouse, and Laboratoire d'OceÂanographie Dynamique et de Climatologie, Paris, France (Manuscript received 9 February 2002, in ®nal form 15 October 2002) ABSTRACT The interannual variability of sea surface temperature (SST) in the North Atlantic is investigated from October 1992 to October 1999 with special emphasis on analyzing the contribution of horizontal advection to this variability. Horizontal advection is estimated using anomalous geostrophic currents derived from the TOPEX/ Poseidon sea level data, average currents estimated from drifter data, scatterometer-derived Ekman drifts, and monthly SST data. These estimates have large uncertainties, in particular related to the sea level product, the average currents, and the mixed-layer depth, that contribute signi®cantly to the nonclosure of the surface tem- perature budget. The large scales in winter temperature change over a year present similarities with the heat ¯uxes integrated over the same periods. However, the amplitudes do not match well. Furthermore, in the western subtropical gyre (south of the Gulf Stream) and in the subpolar regions, the time evolutions of both ®elds are different. In both regions, advection is found to contribute signi®cantly to the interannual winter temperature variability. In the subpolar gyre, advection often contributes more to the SST variability than the heat ¯uxes. It seems in particular responsible for a low-frequency trend from 1994 to 1998 (increase in the subpolar gyre and decrease in the western subtropical gyre), which is not found in the heat ¯uxes and in the North Atlantic Oscillation index after 1996. -
Potential Vorticity Dynamics and Tropopause Fold
POTENTIAL VORTICITY DYNAMICS AND TROPOPAUSE FOLD M.D. ANDREI1,2, M. PIETRISI1,2, S. STEFAN1 1 University of Bucharest, Faculty of Physics, P.O.BOX MG 11, Magurele, Bucharest, Romania Emails: [email protected]; [email protected] 2 National Meteorological Administration, Bucuresti-Ploiesti Ave., No. 97, 013686, Bucharest, Romania Received November 1, 2017 Abstract. Extra tropical cyclones evolution depends a lot on the dynamically and thermodynamically interactions between the lower and the upper troposphere. The aim of this paper is to demonstrate the importance of dynamic tropopause fold in the development of a cyclone which affected Romania in 12th and 13th of November, 2016. The coupling between a positive potential vorticity anomaly and the jet stream has caused the fall of dynamic tropopause, which has a great influence in the cyclone deepening. This synoptic situation has resulted in a big amount of precipitation and strong wind gusts. For the study, ALARO limited area spectral model analyzes (e.g., 300 hPa Potential Vorticity, 1,5 PVU field height, 300 hPa winds, mean sea level pressure), data from the Romanian National Meteorological Administration meteorological stations, cross-sections and satellite images (water vapor and RGB) were used. Accordingly, the results of this study will be used in operational forecast, for similar situations which would appear in the future, and can improve it. Key words: potential vorticity, tropopause fold, cyclone. 1. INTRODUCTION Dynamic tropopause is the 1.5 or 2 PVU (potential vorticity units) surface that separates the dry, stable, stratospheric air from the humid, unstable, tropospheric air [1]. The dynamic tropopause fold corresponds to a positive potential vorticity anomaly, with high amplitude in the upper troposphere [2, 3], which induces a cyclonic circulation that propagates to the surface and reduce, under it, static stability. -
Potential Vorticity Diagnosis of a Simulated Hurricane. Part I: Formulation and Quasi-Balanced Flow
1JULY 2003 WANG AND ZHANG 1593 Potential Vorticity Diagnosis of a Simulated Hurricane. Part I: Formulation and Quasi-Balanced Flow XINGBAO WANG AND DA-LIN ZHANG Department of Meteorology, University of Maryland at College Park, College Park, Maryland (Manuscript received 20 August 2002, in ®nal form 27 January 2003) ABSTRACT Because of the lack of three-dimensional (3D) high-resolution data and the existence of highly nonelliptic ¯ows, few studies have been conducted to investigate the inner-core quasi-balanced characteristics of hurricanes. In this study, a potential vorticity (PV) inversion system is developed, which includes the nonconservative processes of friction, diabatic heating, and water loading. It requires hurricane ¯ows to be statically and inertially stable but allows for the presence of small negative PV. To facilitate the PV inversion with the nonlinear balance (NLB) equation, hurricane ¯ows are decomposed into an axisymmetric, gradient-balanced reference state and asymmetric perturbations. Meanwhile, the nonellipticity of the NLB equation is circumvented by multiplying a small parameter « and combining it with the PV equation, which effectively reduces the in¯uence of anticyclonic vorticity. A quasi-balanced v equation in pseudoheight coordinates is derived, which includes the effects of friction and diabatic heating as well as differential vorticity advection and the Laplacians of thermal advection by both nondivergent and divergent winds. This quasi-balanced PV±v inversion system is tested with an explicit simulation of Hurricane Andrew (1992) with the ®nest grid size of 6 km. It is shown that (a) the PV±v inversion system could recover almost all typical features in a hurricane, and (b) a sizeable portion of the 3D hurricane ¯ows are quasi-balanced, such as the intense rotational winds, organized eyewall updrafts and subsidence in the eye, cyclonic in¯ow in the boundary layer, and upper-level anticyclonic out¯ow. -
(Potential) Vorticity: the Swirling Motion of Geophysical Fluids
(Potential) vorticity: the swirling motion of geophysical fluids Vortices occur abundantly in both atmosphere and oceans and on all scales. The leaves, chasing each other in autumn, are driven by vortices. The wake of boats and brides form strings of vortices in the water. On the global scale we all know the rotating nature of tropical cyclones and depressions in the atmosphere, and the gyres constituting the large-scale wind driven ocean circulation. To understand the role of vortices in geophysical fluids, vorticity and, in particular, potential vorticity are key quantities of the flow. In a 3D flow, vorticity is a 3D vector field with as complicated dynamics as the flow itself. In this lecture, we focus on 2D flow, so that vorticity reduces to a scalar field. More importantly, after including Earth rotation a fairly simple equation for planar geostrophic fluids arises which can explain many characteristics of the atmosphere and ocean circulation. In the lecture, we first will derive the vorticity equation and discuss the various terms. Next, we define the various vorticity related quantities: relative, planetary, absolute and potential vorticity. Using the shallow water equations, we derive the potential vorticity equation. In the final part of the lecture we discuss several applications of this equation of geophysical vortices and geophysical flow. The preparation material includes - Lecture slides - Chapter 12 of Stewart (http://www.colorado.edu/oclab/sites/default/files/attached- files/stewart_textbook.pdf), of which only sections 12.1-12.3 are discussed today. Willem Jan van de Berg Chapter 12 Vorticity in the Ocean Most of the fluid flows with which we are familiar, from bathtubs to swimming pools, are not rotating, or they are rotating so slowly that rotation is not im- portant except maybe at the drain of a bathtub as water is let out. -
Potential Vorticity
POTENTIAL VORTICITY Roger K. Smith March 3, 2003 Contents 1 Potential Vorticity Thinking - How might it help the fore- caster? 2 1.1Introduction............................ 2 1.2WhatisPV-thinking?...................... 4 1.3Examplesof‘PV-thinking’.................... 7 1.3.1 A thought-experiment for understanding tropical cy- clonemotion........................ 7 1.3.2 Kelvin-Helmholtz shear instability . ......... 9 1.3.3 Rossby wave propagation in a β-planechannel..... 12 1.4ThestructureofEPVintheatmosphere............ 13 1.4.1 Isentropicpotentialvorticitymaps........... 14 1.4.2 The vertical structure of upper-air PV anomalies . 18 2 A Potential Vorticity view of cyclogenesis 21 2.1PreliminaryIdeas......................... 21 2.2SurfacelayersofPV....................... 21 2.3Potentialvorticitygradientwaves................ 23 2.4 Baroclinic Instability . .................... 28 2.5 Applications to understanding cyclogenesis . ......... 30 3 Invertibility, iso-PV charts, diabatic and frictional effects. 33 3.1 Invertibility of EPV ........................ 33 3.2Iso-PVcharts........................... 33 3.3Diabaticandfrictionaleffects.................. 34 3.4Theeffectsofdiabaticheatingoncyclogenesis......... 36 3.5Thedemiseofcutofflowsandblockinganticyclones...... 36 3.6AdvantageofPVanalysisofcutofflows............. 37 3.7ThePVstructureoftropicalcyclones.............. 37 1 Chapter 1 Potential Vorticity Thinking - How might it help the forecaster? 1.1 Introduction A review paper on the applications of Potential Vorticity (PV-) concepts by Brian -
A Generalization of the Thermal Wind Equation to Arbitrary Horizontal Flow CAPT
A Generalization of the Thermal Wind Equation to Arbitrary Horizontal Flow CAPT. GEORGE E. FORSYTHE, A.C. Hq., AAF Weather Service, Asheville, N. C. INTRODUCTION N THE COURSE of his European upper-air analysis for the Army Air Forces, Major R. C. I Bundgaard found that the shear of the observed wind field was frequently not parallel to the isotherms, even when allowance was made for errors in measuring the wind and temperature. Deviations of as much as 30 degrees were occasionally found. Since the ther- mal wind relation was found to be very useful on the occasions where it did give the direction and spacing of the isotherms, an attempt was made to give qualitative rules for correcting the observed wind-shear vector, to make it agree more closely with the shear of the geostrophic wind (and hence to make it lie along the isotherms). These rules were only partially correct and could not be made quantitative; no general rules were available. Bellamy, in a recent paper,1 has presented a thermal wind formula for the gradient wind, using for thermodynamic parameters pressure altitude and specific virtual temperature anom- aly. Bellamy's discussion is inadequate, however, in that it fails to demonstrate or account for the difference in direction between the shear of the geostrophic wind and the shear of the gradient wind. The purpose of the present note is to derive a formula for the shear of the actual wind, assuming horizontal flow of the air in the absence of frictional forces, and to show how the direction and spacing of the virtual-temperature isotherms can be obtained from this shear.