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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. -
How Appropriate They Are/Will Be Using Future Satellite Data Sources?
Different Convective Indices - - - How appropriate they are/will be using future satellite data sources? Ralph A. Petersen1 1 Cooperative Institute for Meteorological Satellite Studies (CIMSS), University of Wisconsin – Madison, Madison, Wisconsin, USA Will additional input from Steve Weiss, NOAA/NWS/Storm Prediction Center ✓ Increasing the Utility / Value of real-time Satellite Sounder Products to fill gaps in their short-range forecasting processes Creating Temperature/Moisture Soundings from Infra-Red (IR) Satellite Observations A Conceptual Tutorial All level of the atmosphere is continually emit radiation toward space. Satellites observe the net amount reaching space. • Conceptually, we can think about the atmosphere being made up of many thin layers Start from the bottom and work up. 1 – The greatest amount of radiation is emitted from the earth’s surface 4 - Remember, Stefan’s Law: Emission ~ σTSfc 2 – Molecules of various gases in the lowest layer of the atmosphere absorb some of the radiation and then reemit it upward to space and back downward to the earth’s surface - Major absorbers are CO2 and H2O 4 - Emission again ~ σT , but TAtmosphere<TSfc - Amount of radiation decreases with altitude Creating Temperature/Moisture Soundings from Infra-Red (IR) Satellite Observations A Conceptual Tutorial All level of the atmosphere is continually emit radiation toward space. Satellites observe the net amount reaching space. • Conceptually, we can think about the atmosphere being made up of many thin layers Start from the bottom and work -
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 -
P7.1 a Comparative Verification of Two “Cap” Indices in Forecasting Thunderstorms
P7.1 A COMPARATIVE VERIFICATION OF TWO “CAP” INDICES IN FORECASTING THUNDERSTORMS David L. Keller Headquarters Air Force Weather Agency, Offutt AFB, Nebraska 1. INTRODUCTION layer parcels are then sufficiently buoyant to rise to the Level of Free Convection (LFC), resulting in convection The forecasting of non-severe and severe and possibly thunderstorms. In many cases dynamic thunderstorms in the continental United States forcing such as low-level convergence, low-level warm (CONUS) for military customers is the responsibility of advection, or positive vorticity advection provide the Air Force Weather Agency (AFWA) CONUS Severe additional force to mechanically lift boundary layer Weather Operations (CONUS OPS), and of the Storm parcels through the inversion. Prediction Center (SPC) for the civilian government. In the morning hours, one of the biggest Severe weather is defined by both of these challenges in severe weather forecasting is to organizations as the occurrence of a tornado, hail determine not only if, but also where the cap will break larger than 19 mm, wind speed of 25.7 m/s, or wind later in the day. Model forecasts help determine future damage. These agencies produce ‘outlooks’ denoting soundings. Based on the model data, severe storm areas where non-severe and severe thunderstorms are indices can be calculated that help measure the expected. Outlooks are issued for the current day, for predicted dynamic forcing, instability, and the future ‘tomorrow’ and the day following. The ‘day 1’ forecast state of the capping inversion. is normally issued 3 to 5 times per day, the ‘day 2’ and One measure of the cap is the Convective ‘day 3’ forecasts less frequently. -
The Sensitivity of Convective Initiation to the Lapse Rate of the Active Cloud-Bearing Layer
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Earth and Atmospheric Sciences, Department Papers in the Earth and Atmospheric Sciences of 2007 The Sensitivity of Convective Initiation to the Lapse Rate of the Active Cloud-Bearing Layer Adam L. Houston Dev Niyogi Follow this and additional works at: https://digitalcommons.unl.edu/geosciencefacpub Part of the Earth Sciences Commons This Article is brought to you for free and open access by the Earth and Atmospheric Sciences, Department of at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Papers in the Earth and Atmospheric Sciences by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. VOLUME 135 MONTHLY WEATHER REVIEW SEPTEMBER 2007 The Sensitivity of Convective Initiation to the Lapse Rate of the Active Cloud-Bearing Layer ADAM L. HOUSTON Department of Geosciences, University of Nebraska at Lincoln, Lincoln, Nebraska DEV NIYOGI Departments of Agronomy and Earth and Atmospheric Sciences, Purdue University, West Lafayette, Indiana (Manuscript received 25 August 2006, in final form 8 December 2006) ABSTRACT Numerical experiments are conducted using an idealized cloud-resolving model to explore the sensitivity of deep convective initiation (DCI) to the lapse rate of the active cloud-bearing layer [ACBL; the atmo- spheric layer above the level of free convection (LFC)]. Clouds are initiated using a new technique that involves a preexisting airmass boundary initialized such that the (unrealistic) adjustment of the model state variables to the imposed boundary is disassociated from the simulation of convection. Reference state environments used in the experiment suite have identical mixed layer values of convective inhibition, CAPE, and LFC as well as identical profiles of relative humidity and wind. -
Chapter 2 Approximate Thermodynamics
Chapter 2 Approximate Thermodynamics 2.1 Atmosphere Various texts (Byers 1965, Wallace and Hobbs 2006) provide elementary treatments of at- mospheric thermodynamics, while Iribarne and Godson (1981) and Emanuel (1994) present more advanced treatments. We provide only an approximate treatment which is accept- able for idealized calculations, but must be replaced by a more accurate representation if quantitative comparisons with the real world are desired. 2.1.1 Dry entropy In an atmosphere without moisture the ideal gas law for dry air is p = R T (2.1) ρ d where p is the pressure, ρ is the air density, T is the absolute temperature, and Rd = R/md, R being the universal gas constant and md the molecular weight of dry air. If moisture is present there are minor modications to this equation, which we ignore here. The dry entropy per unit mass of air is sd = Cp ln(T/TR) − Rd ln(p/pR) (2.2) where Cp is the mass (not molar) specic heat of dry air at constant pressure, TR is a constant reference temperature (say 300 K), and pR is a constant reference pressure (say 1000 hPa). Recall that the specic heats at constant pressure and volume (Cv) are related to the gas constant by Cp − Cv = Rd. (2.3) A variable related to the dry entropy is the potential temperature θ, which is dened Rd/Cp θ = TR exp(sd/Cp) = T (pR/p) . (2.4) The potential temperature is the temperature air would have if it were compressed or ex- panded (without condensation of water) in a reversible adiabatic fashion to the reference pressure pR. -
The Tephigram Introduction Meteorology Is the Study of the Physical State of the Atmosphere
The Tephigram Introduction Meteorology is the study of the physical state of the atmosphere. The atmosphere is a heat engine transporting energy from the warm ground to cooler locations, both vertically and horizontally. The driving force is solar radiation. Shortwave radiation is absorbed primarily at the surface; the working fluid is the atmosphere, which distributes heat by motion systems on all time and space scales; the heat sink is space, to which longwave radiation escapes. The Tephigram is one of a number of thermodynamic diagrams designed to aid in the interpretation of the temperature and humidity structure of the atmosphere and used widely throughout the world meteorological community. It has the property that equal areas on the diagram represent equal amounts of energy; this enables the calculation of a wide range of atmospheric processes to be carried out graphically. A blank tephigram is shown in figure 1; there are five principal quantities indicated by constant value lines: pressure, temperature, potential temperature (θ), saturation mixing ratio, and equivalent potential temperature (θe) for saturated air. Saturation mixing ratio: lines of constant saturation mixing ratio with respect to a plane water surface (g kg-1) Isotherms: lines of constant Isobars: lines of temperature (ºC) constant pressure (mb) Dry Adiabats: lines of constant potential temperature (ºC) Pseudo saturated wet adiabat: lines of constant equivalent potential temperature for saturated air parcels (ºC) Figure 1. The tephigram, with the principal quantities indicated. The principal axes of a tephigram are temperature and potential temperature; these are straight and perpendicular to each other, but rotated through about 45º anticlockwise so that lines of constant temperature run from bottom left to top right on the diagram. -
Dry Adiabatic Temperature Lapse Rate
ATMO 551a Fall 2010 Dry Adiabatic Temperature Lapse Rate As we discussed earlier in this class, a key feature of thick atmospheres (where thick means atmospheres with pressures greater than 100-200 mb) is temperature decreases with increasing altitude at higher pressures defining the troposphere of these planets. We want to understand why tropospheric temperatures systematically decrease with altitude and what the rate of decrease is. The first order explanation is the dry adiabatic lapse rate. An adiabatic process means no heat is exchanged in the process. For this to be the case, the process must be “fast” so that no heat is exchanged with the environment. So in the first law of thermodynamics, we can anticipate that we will set the dQ term equal to zero. To get at the rate at which temperature decreases with altitude in the troposphere, we need to introduce some atmospheric relation that defines a dependence on altitude. This relation is the hydrostatic relation we have discussed previously. In summary, the adiabatic lapse rate will emerge from combining the hydrostatic relation and the first law of thermodynamics with the heat transfer term, dQ, set to zero. The gravity side The hydrostatic relation is dP = −g ρ dz (1) which relates pressure to altitude. We rearrange this as dP −g dz = = α dP (2) € ρ where α = 1/ρ is known as the specific volume which is the volume per unit mass. This is the equation we will use in a moment in deriving the adiabatic lapse rate. Notice that € F dW dE g dz ≡ dΦ = g dz = g = g (3) m m m where Φ is known as the geopotential, Fg is the force of gravity and dWg is the work done by gravity. -
Introduction to Atmospheric Dynamics Chapter 2
Introduction to Atmospheric Dynamics Chapter 2 Paul A. Ullrich [email protected] Part 3: Buoyancy and Convection Vertical Structure This cooling with height is related to the dynamics of the atmosphere. The change of temperature with height is called the lapse rate. Defnition: The lapse rate is defned as the rate (for instance in K/km) at which temperature decreases with height. @T Γ ⌘@z Paul Ullrich Introduction to Atmospheric Dynamics March 2014 Lapse Rate For a dry adiabatic, stable, hydrostatic atmosphere the potential temperature θ does not vary in the vertical direction: @✓ =0 @z In a dry adiabatic, hydrostatic atmosphere the temperature T must decrease with height. How quickly does the temperature decrease? R/cp p0 Note: Use ✓ = T p ✓ ◆ Paul Ullrich Introduction to Atmospheric Dynamics March 2014 Lapse Rate The adiabac change in temperature with height is T @✓ @T g = + ✓ @z @z cp For dry adiabac, hydrostac atmosphere: @T g = Γd − @z cp ⌘ Defnition: The dry adiabatic lapse rate is defned as the g rate (for instance in K/km) at which the temperature of an Γd air parcel will decrease with height if raised adiabatically. ⌘ cp g 1 9.8Kkm− cp ⇡ Paul Ullrich Introduction to Atmospheric Dynamics March 2014 Lapse Rate This profle should be very close to the adiabatic lapse rate in a dry atmosphere. Paul Ullrich Introduction to Atmospheric Dynamics March 2014 Fundamentals Even in adiabatic motion, with no external source of heating, if a parcel moves up or down its temperature will change. • What if a parcel moves about a surface of constant pressure? • What if a parcel moves about a surface of constant height? If the atmosphere is in adiabatic balance, the temperature still changes with height. -
Eddy Activity Sensitivity to Changes in the Vertical Structure of Baroclinicity
APRIL 2016 Y U V A L A N D K A S P I 1709 Eddy Activity Sensitivity to Changes in the Vertical Structure of Baroclinicity JANNI YUVAL AND YOHAI KASPI Department of Earth and Planetary Sciences, Weizmann Institute of Science, Rehovot, Israel (Manuscript received 12 May 2015, in final form 25 October 2015) ABSTRACT The relation between the mean meridional temperature gradient and eddy fluxes has been addressed by several eddy flux closure theories. However, these theories give little information on the dependence of eddy fluxes on the vertical structure of the temperature gradient. The response of eddies to changes in the vertical structure of the temperature gradient is especially interesting since global circulation models suggest that as a result of greenhouse warming, the lower-tropospheric temperature gradient will decrease whereas the upper- tropospheric temperature gradient will increase. The effects of the vertical structure of baroclinicity on at- mospheric circulation, particularly on the eddy activity, are investigated. An idealized global circulation model with a modified Newtonian relaxation scheme is used. The scheme allows the authors to obtain a heating profile that produces a predetermined mean temperature profile and to study the response of eddy activity to changes in the vertical structure of baroclinicity. The results indicate that eddy activity is more sensitive to temperature gradient changes in the upper troposphere. It is suggested that the larger eddy sensitivity to the upper-tropospheric temperature gradient is a consequence of large baroclinicity concen- trated in upper levels. This result is consistent with a 1D Eady-like model with nonuniform shear showing more sensitivity to shear changes in regions of larger baroclinicity. -
Nomaly Patterns in the Near-Surface Baroclinicity And
1 Dominant Anomaly Patterns in the Near-Surface Baroclinicity and 2 Accompanying Anomalies in the Atmosphere and Oceans. Part II: North 3 Pacific Basin ∗ † 4 Mototaka Nakamura and Shozo Yamane 5 Japan Agency for Marine-Earth Science and Technology, Yokohama, Kanagawa, Japan ∗ 6 Corresponding author address: Mototaka Nakamura, Japan Agency for Marine-Earth Science and 7 Technology, 3173-25 Showa-machi, Kanazawa-ku, Yokohama, Kanagawa 236-0001, Japan. 8 E-mail: [email protected] † 9 Current affiliation: Science and Engineering, Doshisha University, Kyotanabe, Kyoto, Japan. Generated using v4.3.2 of the AMS LATEX template 1 ABSTRACT 10 Variability in the monthly-mean flow and storm track in the North Pacific 11 basin is examined with a focus on the near-surface baroclinicity. Dominant 12 patterns of anomalous near-surface baroclinicity found from EOF analyses 13 generally show mixed patterns of shift and changes in the strength of near- 14 surface baroclinicity. Composited anomalies in the monthly-mean wind at 15 various pressure levels based on the signals in the EOFs show accompany- 16 ing anomalies in the mean flow up to 50 hPa in the winter and up to 100 17 hPa in other seasons. Anomalous eddy fields accompanying the anomalous 18 near-surface baroclinicity patterns exhibit, broadly speaking, structures antic- 19 ipated from simple linear theories of baroclinic instability, and suggest a ten- 20 dency for anomalous wave fluxes to accelerate–decelerate the surface west- 21 erly accordingly. However, the relationship between anomalous eddy fields 22 and anomalous near-surface baroclinicity in the midwinter is not consistent 23 with the simple linear baroclinic instability theories. -
Thermodynamics of Convection in the Moist Atmosphere B
Thermodynamics of convection in the moist atmosphere B. Legras, LMD/ENS http://www.lmd.ens.fr/legras 1 References recommanded books: - Fundamentals of Atmospheric Physics, M.L. Salby, Academic Press - Cloud dynamics, R.A. Houze, Academic Press Other more advanced books (plus avancés): - Thermodynamics of Atmospheres and Oceans, J.A. Curry & P.J. Webster - Atmospheric Convection, K.A. Emanuel, Oxford Univ. Press Papers - Bolton, The computation of equivalent potential temperature, MWR, 108, 1046- 1053, 1980 2 OUTLINE OF FIRST PART ● Introduction. Distribution of clouds and atmospheric circulation ● Atmospheric stratification. Dry air thermodynamics and stability. ● Moist unsaturated thermodynamics. Virtual temperature. Boundary layer. ● Moist air thermodynamics and the generation of clouds. ● Equivalent potential temperature and potential instability. ● Pseudo-equivalent potential temperature and conditional instability ● CAPE, CIN and ● An example of large-scale cloud parameterization ● 3 Introduction. Distribution of clouds and atmospheric circulation 4 Large-scale organisation of clouds IR false color composite image, obtained par combined data from 5 Geostationary satellites 22/09/2005 18:00TU (GOES-10 (135O), GOES-12 (75O), METEOSAT-7 (OE), METEOSAT-5 (63E), MTSAT (140E)) Cloud bands Cloud bands Cyclone Rita Clusters of convective clouds associated with mid- Cyclone Rita Clusters of convective clouds associated with mid- in the tropical region (15S – latitude in the tropical region (15S – latitude 15 N) perturbations 15 N) perturbations