Climate Modeling Text Glossary
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The California Low-Level Coastal Jet and Nearshore Stratocumulus
Calhoun: The NPS Institutional Archive Faculty and Researcher Publications Faculty and Researcher Publications 2001 The California Low-Level Coastal Jet and Nearshore Stratocumulus Kalogiros, John http://hdl.handle.net/10945/34433 1.1 THE CALIFORNIA LOW-LEVEL COASTAL JET AND NEARSHORE STRATOCUMULUS John Kalogiros and Qing Wang* Naval Postgraduate School, Monterey, California 1. INTRODUCTION* and the warm air above land (thermal wind) and the frictional effect within the atmospheric This observational study focus on the boundary layer (Zemba and Friehe 1987, Burk and interaction between the coastal wind field and the Thompson 1996). The horizontal temperature evolution of the coastal stratocumulus clouds. The gradient follows the orientation of the coastline data were collected during an experiment in the (317° on the average in central California). Thus, summer of 1999 near the California coast with the the thermal wind has a northern and an eastern Twin Otter research aircraft operated by the component and local maximum of both Center for Interdisciplinary Remote Piloted Aircraft components of the wind is expected close to the Study (CIRPAS) at the Naval Postgraduate School top of the boundary layer. Topographical features (NPS). The wind components were measured with may intensify this wind jet at significant convex a DGPS/radome system, which provides a very bends of the coastline like Cape Mendocino, Pt accurate (0.1 ms-1) estimate of the wind (Kalogiros Arena and Pt Sur. At such changes of the and Wang 2001). The instrumentation of the coastline geometry combined with mountain aircraft included fast sensors for the measurement barriers (channeling effect) the northerly flow can of air temperature, humidity, shortwave and become supercritical. -
Using the Weak Temperature Gradient Approximation to Understand Self-Aggregation 1
Multiple Equilibria in a Cloud Resolving Model: Using the Weak Temperature Gradient Approximation to Understand Self-Aggregation 1 Sharon Sessions, Satomi Sugaya, David Raymond, Adam Sobel New Mexico Tech SWAP 2011 nmtlogo 1This work is supported by the National Science Foundation Sessions (NMT) Multiple Equilibria in a CRM May2011 1/21 Self-Aggregation Bretherton et al (2005) precipitation 1 WVP = g rt dp R nmtlogo Day 1 Day 50 Sessions (NMT) Multiple Equilibria in a CRM May2011 2/21 Possible insight from limited domain WTG simulations Bretherton et al (2005) Day 1 Day 50 nmtlogo Sessions (NMT) Multiple Equilibria in a CRM May2011 3/21 Weak Temperature Gradients in the Tropics Charney 1963 scaling analysis Extratropics (small Rossby number) F δθ ∼ r θ Ro Tropics (Rossby number not small) δθ ∼ Fr θ 2 −3 Froude number: Fr = U /gH ∼ 10 , measure of stratification −5 Rossby number: Ro = U/fL ∼ 10 /f , characterizes rotation nmtlogo Sessions (NMT) Multiple Equilibria in a CRM May2011 4/21 Weak Temperature Gradients in the Tropics Charney 1963 scaling analysis Extratropics (small Rossby number) F δθ ∼ r θ Ro Tropics (Rossby number not small) δθ ∼ Fr θ 2 −3 Froude number: Fr = U /gH ∼ 10 , measure of stratification −5 Rossby number: Ro = U/fL ∼ 10 /f , characterizes rotation In the tropics, gravity waves rapidly redistribute buoyancy anomalies nmtlogo Sessions (NMT) Multiple Equilibria in a CRM May2011 4/21 Weak Temperature Gradient (WTG) Approximation Sobel & Bretherton 2000 Single column model (SCM) representing one grid cell in a global circulation -
NWS Unified Surface Analysis Manual
Unified Surface Analysis Manual Weather Prediction Center Ocean Prediction Center National Hurricane Center Honolulu Forecast Office November 21, 2013 Table of Contents Chapter 1: Surface Analysis – Its History at the Analysis Centers…………….3 Chapter 2: Datasets available for creation of the Unified Analysis………...…..5 Chapter 3: The Unified Surface Analysis and related features.……….……….19 Chapter 4: Creation/Merging of the Unified Surface Analysis………….……..24 Chapter 5: Bibliography………………………………………………….…….30 Appendix A: Unified Graphics Legend showing Ocean Center symbols.….…33 2 Chapter 1: Surface Analysis – Its History at the Analysis Centers 1. INTRODUCTION Since 1942, surface analyses produced by several different offices within the U.S. Weather Bureau (USWB) and the National Oceanic and Atmospheric Administration’s (NOAA’s) National Weather Service (NWS) were generally based on the Norwegian Cyclone Model (Bjerknes 1919) over land, and in recent decades, the Shapiro-Keyser Model over the mid-latitudes of the ocean. The graphic below shows a typical evolution according to both models of cyclone development. Conceptual models of cyclone evolution showing lower-tropospheric (e.g., 850-hPa) geopotential height and fronts (top), and lower-tropospheric potential temperature (bottom). (a) Norwegian cyclone model: (I) incipient frontal cyclone, (II) and (III) narrowing warm sector, (IV) occlusion; (b) Shapiro–Keyser cyclone model: (I) incipient frontal cyclone, (II) frontal fracture, (III) frontal T-bone and bent-back front, (IV) frontal T-bone and warm seclusion. Panel (b) is adapted from Shapiro and Keyser (1990) , their FIG. 10.27 ) to enhance the zonal elongation of the cyclone and fronts and to reflect the continued existence of the frontal T-bone in stage IV. -
Thermal Conductivity of Materials
• DECEMBER 2019 Thermal Conductivity of Materials Thermal Conductivity in Heat Transfer – Lesson 2 What Is Thermal Conductivity? Based on our life experiences, we know that some materials (like metals) conduct heat at a much faster rate than other materials (like glass). Why is this? As engineers, how do we quantify this? • Thermal conductivity of a material is a measure of its intrinsic ability to conduct heat. Metals conduct heat much faster to our hands, Plastic is a bad conductor of heat, so we can touch an which is why we use oven mitts when taking a pie iron without burning our hands. out of the oven. 2 What Is Thermal Conductivity? Hot Cold • Let’s recall Fourier’s law from the previous lesson: 푞 = −푘∇푇 Heat flow direction where 푞 is the heat flux, ∇푇 is the temperature gradient and 푘 is the thermal conductivity. • If we have a unit temperature gradient across the material, i.e.,∇푇 = 1, then 푘 = −푞. The negative sign indicates that heat flows in the direction of the negative gradient of temperature, i.e., from higher temperature to lower temperature. Thus, thermal conductivity of a material can be defined as the heat flux transmitted through a material due to a unit temperature gradient under steady-state conditions. It is a material property (independent of the geometry of the object in which conduction is occurring). 3 Measuring Thermal Conductivity • In the International System of Units (SI system), thermal conductivity is measured in watts per -1 -1 meter-Kelvin (W m K ). Unit 푞 W ∙ m−1 푞 = −푘∇푇 푘 = − (W ∙ m−1 ∙ K−1) ∇푇 K • In imperial units, thermal conductivity is measured in British thermal unit per hour-feet-degree- Fahrenheit (BTU h-1ft-1 oF-1). -
METAR/SPECI Reporting Changes for Snow Pellets (GS) and Hail (GR)
U.S. DEPARTMENT OF TRANSPORTATION N JO 7900.11 NOTICE FEDERAL AVIATION ADMINISTRATION Effective Date: Air Traffic Organization Policy September 1, 2018 Cancellation Date: September 1, 2019 SUBJ: METAR/SPECI Reporting Changes for Snow Pellets (GS) and Hail (GR) 1. Purpose of this Notice. This Notice coincides with a revision to the Federal Meteorological Handbook (FMH-1) that was effective on November 30, 2017. The Office of the Federal Coordinator for Meteorological Services and Supporting Research (OFCM) approved the changes to the reporting requirements of small hail and snow pellets in weather observations (METAR/SPECI) to assist commercial operators in deicing operations. 2. Audience. This order applies to all FAA and FAA-contract weather observers, Limited Aviation Weather Reporting Stations (LAWRS) personnel, and Non-Federal Observation (NF- OBS) Program personnel. 3. Where can I Find This Notice? This order is available on the FAA Web site at http://faa.gov/air_traffic/publications and http://employees.faa.gov/tools_resources/orders_notices/. 4. Cancellation. This notice will be cancelled with the publication of the next available change to FAA Order 7900.5D. 5. Procedures/Responsibilities/Action. This Notice amends the following paragraphs and tables in FAA Order 7900.5. Table 3-2: Remarks Section of Observation Remarks Section of Observation Element Paragraph Brief Description METAR SPECI Volcanic eruptions must be reported whenever first noted. Pre-eruption activity must not be reported. (Use Volcanic Eruptions 14.20 X X PIREPs to report pre-eruption activity.) Encode volcanic eruptions as described in Chapter 14. Distribution: Electronic 1 Initiated By: AJT-2 09/01/2018 N JO 7900.11 Remarks Section of Observation Element Paragraph Brief Description METAR SPECI Whenever tornadoes, funnel clouds, or waterspouts begin, are in progress, end, or disappear from sight, the event should be described directly after the "RMK" element. -
Atmospheric Stability Atmospheric Lapse Rate
ATMOSPHERIC STABILITY ATMOSPHERIC LAPSE RATE The atmospheric lapse rate ( ) refers to the change of an atmospheric variable with a change of altitude, the variable being temperature unless specified otherwise (such as pressure, density or humidity). While usually applied to Earth's atmosphere, the concept of lapse rate can be extended to atmospheres (if any) that exist on other planets. Lapse rates are usually expressed as the amount of temperature change associated with a specified amount of altitude change, such as 9.8 °Kelvin (K) per kilometer, 0.0098 °K per meter or the equivalent 5.4 °F per 1000 feet. If the atmospheric air cools with increasing altitude, the lapse rate may be expressed as a negative number. If the air heats with increasing altitude, the lapse rate may be expressed as a positive number. Understanding of lapse rates is important in micro-scale air pollution dispersion analysis, as well as urban noise pollution modeling, forest fire-fighting and certain aviation applications. The lapse rate is most often denoted by the Greek capital letter Gamma ( or Γ ) but not always. For example, the U.S. Standard Atmosphere uses L to denote lapse rates. A few others use the Greek lower case letter gamma ( ). Types of lapse rates There are three types of lapse rates that are used to express the rate of temperature change with a change in altitude, namely the dry adiabatic lapse rate, the wet adiabatic lapse rate and the environmental lapse rate. Dry adiabatic lapse rate Since the atmospheric pressure decreases with altitude, the volume of an air parcel expands as it rises. -
Thermal Equilibrium of the Atmosphere with a Convective Adjustment
jULY 1964 SYUKURO MANABE AND ROBERT F. STRICKLER 361 Thermal Equilibrium of the Atmosphere with a Convective Adjustment SYUKURO MANABE AND ROBERT F. STRICKLER General Circulation Research Laboratory, U.S. Weather Bureau, Washington, D. C. (Manuscript received 19 December 1963, in revised form 13 April 1964) ABSTRACT The states of thermal equilibrium (incorporating an adjustment of super-adiabatic stratification) as well as that of pure radiative equilibrium of the atmosphere are computed as the asymptotic steady state ap proached in an initial value problem. Recent measurements of absorptivities obtained for a wide range of pressure are used, and the scheme of computation is sufficiently general to include the effect of several layers of clouds. The atmosphere in thermal equilibrium has an isothermal lower stratosphere and an inversion in the upper stratosphere which are features observed in middle latitudes. The role of various gaseous absorbers (i.e., water vapor, carbon dioxide, and ozone), as well as the role of the clouds, is investigated by computing thermal equilibrium with and without one or two of these elements. The existence of ozone has very little effect on the equilibrium temperature of the earth's surface but a very important effect on the temperature throughout the stratosphere; the absorption of solar radiation by ozone in the upper and middle strato sphere, in addition to maintaining the warm temperature in that region, appears also to be necessary for the maintenance of the isothermal layer or slight inversion just above the tropopause. The thermal equilib rium state in the absence of solar insolation is computed by setting the temperature of the earth's surface at the observed polar value. -
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. -
Accuracy of NWS 8 Standard Nonrecording Precipitation Gauge
54 JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY VOLUME 15 Accuracy of NWS 80 Standard Nonrecording Precipitation Gauge: Results and Application of WMO Intercomparison DAQING YANG,* BARRY E. GOODISON, AND JOHN R. METCALFE Atmospheric Environment Service, Downsview, Ontario, Canada VALENTIN S. GOLUBEV State Hydrological Institute, St. Petersburg, Russia ROY BATES AND TIMOTHY PANGBURN U.S. Army CRREL, Hanover, New Hampshire CLAYTON L. HANSON U.S. Department of Agriculture, Agricultural Research Service, Northwest Watershed Research Center, Boise, Idaho (Manuscript received 21 December 1995, in ®nal form 1 August 1996) ABSTRACT The standard 80 nonrecording precipitation gauge has been used historically by the National Weather Service (NWS) as the of®cial precipitation measurement instrument of the U.S. climate station network. From 1986 to 1992, the accuracy and performance of this gauge (unshielded or with an Alter shield) were evaluated during the WMO Solid Precipitation Measurement Intercomparison at three stations in the United States and Russia, representing a variety of climate, terrain, and exposure. The double-fence intercomparison reference (DFIR) was the reference standard used at all the intercomparison stations in the Intercomparison project. The Intercomparison data collected at different sites are compatible with respect to the catch ratio (gauge measured/DFIR) for the same gauges, when compared using wind speed at the height of gauge ori®ce during the observation period. The effects of environmental factors, such as wind speed and temperature, on the gauge catch were investigated. Wind speed was found to be the most important factor determining gauge catch when precipitation was classi®ed into snow, mixed, and rain. The regression functions of the catch ratio versus wind speed at the gauge height on a daily time step were derived for various types of precipitation. -
ATM 316 - the “Thermal Wind” Fall, 2016 – Fovell
ATM 316 - The \thermal wind" Fall, 2016 { Fovell Recap and isobaric coordinates We have seen that for the synoptic time and space scales, the three leading terms in the horizontal equations of motion are du 1 @p − fv = − (1) dt ρ @x dv 1 @p + fu = − ; (2) dt ρ @y where f = 2Ω sin φ. The two largest terms are the Coriolis and pressure gradient forces (PGF) which combined represent geostrophic balance. We can define geostrophic winds ug and vg that exactly satisfy geostrophic balance, as 1 @p −fv ≡ − (3) g ρ @x 1 @p fu ≡ − ; (4) g ρ @y and thus we can also write du = f(v − v ) (5) dt g dv = −f(u − u ): (6) dt g In other words, on the synoptic scale, accelerations result from departures from geostrophic balance. z R p z Q δ δx p+δp x Figure 1: Isobaric coordinates. It is convenient to shift into an isobaric coordinate system, replacing height z by pressure p. Remember that pressure gradients on constant height surfaces are height gradients on constant pressure surfaces (such as the 500 mb chart). In Fig. 1, the points Q and R reside on the same isobar p. Ignoring the y direction for simplicity, then p = p(x; z) and the chain rule says @p @p δp = δx + δz: @x @z 1 Here, since the points reside on the same isobar, δp = 0. Therefore, we can rearrange the remainder to find δz @p = − @x : δx @p @z Using the hydrostatic equation on the denominator of the RHS, and cleaning up the notation, we find 1 @p @z − = −g : (7) ρ @x @x In other words, we have related the PGF (per unit mass) on constant height surfaces to a \height gradient force" (again per unit mass) on constant pressure surfaces. -
Thickness and Thermal Wind
ESCI 241 – Meteorology Lesson 12 – Geopotential, Thickness, and Thermal Wind Dr. DeCaria GEOPOTENTIAL l The acceleration due to gravity is not constant. It varies from place to place, with the largest variation due to latitude. o What we call gravity is actually the combination of the gravitational acceleration and the centrifugal acceleration due to the rotation of the Earth. o Gravity at the North Pole is approximately 9.83 m/s2, while at the Equator it is about 9.78 m/s2. l Though small, the variation in gravity must be accounted for. We do this via the concept of geopotential. l A surface of constant geopotential represents a surface along which all objects of the same mass have the same potential energy (the potential energy is just mF). l If gravity were constant, a geopotential surface would also have the same altitude everywhere. Since gravity is not constant, a geopotential surface will have varying altitude. l Geopotential is defined as z F º ò gdz, (1) 0 or in differential form as dF = gdz. (2) l Geopotential height is defined as F 1 z Z º = ò gdz (3) g0 g0 0 2 where g0 is a constant called standard gravity, and has a value of 9.80665 m/s . l If the change in gravity with height is ignored, geopotential height and geometric height are related via g Z = z. (4) g 0 o If the local gravity is stronger than standard gravity, then Z > z. o If the local gravity is weaker than standard gravity, then Z < z. -
Temperature Gradient
Temperature Gradient Derivation of dT=dr In Modern Physics it is shown that the pressure of a photon gas in thermodynamic equilib- rium (the radiation pressure PR) is given by the equation 1 P = aT 4; (1) R 3 with a the radiation constant, which is related to the Stefan-Boltzman constant, σ, and the speed of light in vacuum, c, via the equation 4σ a = = 7:565731 × 10−16 J m−3 K−4: (2) c Hence, the radiation pressure gradient is dP 4 dT R = aT 3 : (3) dr 3 dr Referring to our our discussion of opacity, we can write dF = −hκiρF; (4) dr where F = F (r) is the net outward flux (integrated over all wavelengths) of photons at a distance r from the center of the star, and hκi some properly taken average value of the opacity. The flux F is related to the luminosity through the equation L(r) F (r) = : (5) 4πr2 Considering that pressure is force per unit area, and force is a rate of change of linear momentum, and photons carry linear momentum equal to their energy divided by c, PR and F obey the equation 1 P = F (r): (6) R c Differentiation with respect to r gives dP 1 dF R = : (7) dr c dr Combining equations (3), (4), (5) and (7) then gives 1 L(r) 4 dT − hκiρ = aT 3 ; (8) c 4πr2 3 dr { 2 { which finally leads to dT 3hκiρ 1 1 = − L(r): (9) dr 16πac T 3 r2 Equation (9) gives the local (i.e.