GEOG 341 Clouds
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Contrail-Cirrus and Their Potential for Regional Climate Change
Contrail-Cirrus and Their Potential for Regional Climate Change Kenneth Sassen Department of Meteorology, University of Utah, Salt Lake City, Utah ABSTRACT After reviewing the indirect evidence for the regional climatic impact of contrail-generated cirrus clouds (contrail- cirrus), the author presents a variety of new measurements indicating the nature and scope of the problem. The assess- ment concentrates on polarization lidar and radiometric observations of persisting contrails from Salt Lake City, Utah, where an extended Project First ISCCP (International Satellite Cloud Climatology Program) Regional Experiment (FIRE) cirrus cloud dataset from the Facility for Atmospheric Remote Sensing has captured new information in a geographical area previously identified as being affected by relatively heavy air traffic. The following contrail properties are consid- ered: hourly and monthly frequency of occurrence; height, temperature, and relative humidity statistics; visible and in- frared radiative impacts; and microphysical content evaluated from in situ data and contrail optical phenomenon such as halos and coronas. Also presented are high-resolution lidar images of contrails from the recent SUCCESS experiment, and the results of an initial attempt to numerically simulate the radiative effects of an observed contrail. The evidence indicates that the direct radiative effects of contrails display the potential for regional climate change at many midlati- tude locations, even though the sign of the climatic impact may be uncertain. However, new information suggests that the unusually small particles typical of many persisting contrails may favor the albedo cooling over the greenhouse warming effect, depending on such factors as the geographic distribution and patterns in day versus night aircraft usage. -
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. -
Cloud-Spotting Game Sheet
Spot ‘Em Car Games Clouds and Weather Mark down each type of cloud you spot, and see how long it takes you to get them all! 1. Cirrus (2) 2. Altocumulus (2) 3. Cirrocumulus (1) 4. Cirrostratus (3) 5. Cumulus (1) 6. Cirrus fibratus (2) 7. Altostratus (3) 8. Nimbostratus (2) 9. Stratocumulus (1) 10. Stratus (3) 11. Lenticular cloud (10) 12. Funnel cloud (10) 13. Rainbow (5) 14. Airplane contrail (2) 15. Crepuscular rays (10) www.HowToRaiseAHappyGenius.com Printed by Pictish Beast Publications Spot ‘Em Car Games Clouds and Weather More information about how to identify the weather phenomena that are part of this car game 1. Cirrus: Cirrus clouds look like strands of white cotton wool that have been pulled apart and spread across the sky. 2. Altocumulus: Altocumulus clouds form a layer at mid-altitudes that covers much of the sky, and this layer is usually made up of patterns of regularly spaced and shaped patches with bands of blue sky between them. 3. Cirrocumulus: Cirrocumulus clouds are similar to altocumulus, but they are found higher up in the sky and are made up of smaller patches of cloud. 4. Cirrostratus: Cirrostratus clouds form a continuous sheet of cloud high up in the sky that are thin enough for the sun to be able to shine through, creating a halo effect. 5. Cumulus: Cumulus clouds are distinctive fluffy looking clouds that are clearly separated from other clouds in the sky. They are what you would draw if asked to draw a picture of a cloud. 6. Cirrus fibratus: Cirrus fibratus are a type of Cirrus cloud that form very distinctive long, fluffy lines across the sky. -
A Comprehensive Observational Study of Graupel and Hail Terminal Velocity, Mass Flux, and Kinetic Energy
NOVEMBER 2018 H E Y M S F I E L D E T A L . 3861 A Comprehensive Observational Study of Graupel and Hail Terminal Velocity, Mass Flux, and Kinetic Energy ANDREW HEYMSFIELD National Center for Atmospheric Research, Boulder, Colorado MIKLÓS SZAKÁLL AND ALEXANDER JOST Institute for Atmospheric Physics, Johannes Gutenberg University, Mainz, Germany IAN GIAMMANCO Insurance Institute for Business and Home Safety, Richburg, South Carolina ROBERT WRIGHT RLWA and Associates, Houston, Texas (Manuscript received 2 February 2018, in final form 24 August 2018) ABSTRACT This study uses novel approaches to estimate the fall characteristics of hail, covering a size range from about 0.5 to 7 cm, and the drag coefficients of lump and conical graupel. Three-dimensional (3D) volume scans of 60 hailstones of sizes from 2.5 to 6.7 cm were printed in three dimensions using acrylonitrile butadiene styrene (ABS) plastic, and their terminal velocities were measured in the Mainz, Germany, vertical wind tunnel. To simulate lump graupel, 40 of the hailstones were printed with maximum dimensions of about 0.2, 0.3, and 0.5 cm, and their terminal velocities were measured. Conical graupel, whose three dimensions (maximum dimension 0.1–1 cm) were estimated from an analytical representation and printed, and the terminal veloc- ities of seven groups of particles were measured in the tunnel. From these experiments, with printed particle 2 densities from 0.2 to 0.9 g cm 3, together with earlier observations, relationships between the drag coefficient and the Reynolds number and between the Reynolds number and the Best number were derived for a wide range of particle sizes and heights (pressures) in the atmosphere. -
An Improved Representation of Rimed Snow and Conversion to Graupel in a Multicomponent Bin Microphysics Scheme
MAY 2010 M O R R I S O N A N D G R A B O W S K I 1337 An Improved Representation of Rimed Snow and Conversion to Graupel in a Multicomponent Bin Microphysics Scheme HUGH MORRISON AND WOJCIECH W. GRABOWSKI National Center for Atmospheric Research,* Boulder, Colorado (Manuscript received 13 July 2009, in final form 22 January 2010) ABSTRACT This paper describes the development of a new multicomponent detailed bin ice microphysics scheme that predicts the number concentration of ice as well as the rime mass mixing ratio in each mass bin. This allows for local prediction of the rime mass fraction. In this approach, the ice particle mass size, projected area size, and terminal velocity–size relationships vary as a function of particle mass and rimed mass fraction, based on a simple conceptual model of rime accumulation in the crystal interstices that leads to an increase in particle mass, but not in its maximum size, until a complete ‘‘filling in’’ with rime and conversion to graupel occurs. This approach allows a natural representation of the gradual transition from unrimed crystals to rimed crystals and graupel during riming. The new ice scheme is coupled with a detailed bin representation of the liquid hy- drometeors and applied in an idealized 2D kinematic flow model representing the evolution of a mixed-phase precipitating cumulus. Results using the bin scheme are compared with simulations using a two-moment bulk scheme employing the same approach (i.e., separate prediction of bulk ice mixing ratio from vapor deposition and riming, allowing for local prediction of bulk rime mass fraction). -
Cloud Microphysics
Cloud microphysics Claudia Emde Meteorological Institute, LMU, Munich, Germany WS 2011/2012 Growth Precipitation Cloud modification Overview of cloud physics lecture Atmospheric thermodynamics gas laws, hydrostatic equation 1st law of thermodynamics moisture parameters adiabatic / pseudoadiabatic processes stability criteria / cloud formation Microphysics of warm clouds nucleation of water vapor by condensation growth of cloud droplets in warm clouds (condensation, fall speed of droplets, collection, coalescence) formation of rain, stochastical coalescence Microphysics of cold clouds homogeneous, heterogeneous, and contact nucleation concentration of ice particles in clouds crystal growth (from vapor phase, riming, aggregation) formation of precipitation, cloud modification Observation of cloud microphysical properties Parameterization of clouds in climate and NWP models Cloud microphysics December 15, 2011 2 / 30 Growth Precipitation Cloud modification Growth from the vapor phase in mixed-phase clouds mixed-phase cloud is dominated by super-cooled droplets air is close to saturated w.r.t. liquid water air is supersaturated w.r.t. ice Example ◦ T=-10 C, RHl ≈ 100%, RHi ≈ 110% ◦ T=-20 C, RHl ≈ 100%, RHi ≈ 121% )much greater supersaturations than in warm clouds In mixed-phase clouds, ice particles grow from vapor phase much more rapidly than droplets. Cloud microphysics December 15, 2011 3 / 30 Growth Precipitation Cloud modification Mass growth rate of an ice crystal diffusional growth of ice crystal similar to growth of droplet by condensation more complicated, mainly because ice crystals are not spherical )points of equal water vapor do not lie on a sphere centered on crystal dM = 4πCD (ρ (1) − ρ ) dt v vc Cloud microphysics December 15, 2011 4 / 30 P732951-Ch06.qxd 9/12/05 7:44 PM Page 240 240 Cloud Microphysics determined by the size and shape of the conductor. -
Graupel Or Hailstone), Some Negative Ions Transferred to the Colder Object What Causes the Charge Distribution? Part 2
ATM 10 Severe and Unusual Weather Prof. Richard Grotjahn L 15/16 http://canvas.ucdavis.edu/ Lecture topics: • Lightning – Formation of charge conditions – Demonstrations – Various types – Climatology – Damage – Safety do’s and don’ts – videos • Hail – Formation – Locations – Damage Short Video Segments • Lightning – Daytime lightning & sound (10 sec, .mov) – Night, slow crawlers (18 sec, mpg) – Night, city (10 sec, mpg) What is lightning? • A very large spark • Traveling through a poor conductor (air) What is thunder? • Lightning instantly heats air to ~30,000 C (~54,000 F)! • Heated air expands (ideal gas law) compressing adjacent air • Sound wave (thunder) is created Perceiving Thunder • Air attenuates (absorbs) sound, removing high frequencies sooner than low • You hear high pitch “Crack!” (from that part of lightning close to you) • followed by low rumbles for that part of lightning furthest away • Sound waves (like light) refract (bend) towards cooler air (recall mirages) • If you are too far away (~15km) you may not hear it, though you see a flash “heat lightning” • Sound travels • 1 km in 3 seconds • 1 mile in 5 seconds bolt traveling horizontally towards camera, then dipping to the ground Lightning Bolt = Giant Spark 1. Negative charge in cloud base attracts positive charge on ground (esp. high pts) 2. "Stepped leader" steps downward 50-100m at a time -- creates the jagged shape. Each step ~ 50/1,000,000 second 3. When step leader nears the ground, ground leaders may rise from taller objects 4. << BOOM!>> -- positive charge rushes up: this is much brighter RETURN STROKE. A short circuit. The stepped leader made the air conducting along that path and the return stroke follows that easier path. -
Classification of Clouds Clouds Are Usually Classified According to Their Height and Appearance
CLOUDS Clouds are condensed droplets of water and ice crystals. The nuclei of those droplets are dust particles. Near the surface these drops form fog and in the free atmosphere, they form clouds. Clouds have been defined as visible aggregation of minute water droplets and / or ice particles in the air, usually above the general ground level. Air contains moisture and this is extremely important to the formation of clouds. Clouds are formed around microscopic particles such as dust, smoke, salt crystals & other materials that are present in the atmosphere. These materials are called Cloud Condensation Nucleus (CCN). Without these, no cloud formation will take place. There are certain special types, known as ice nucleus, on which droplets freeze or ice crystals form directly from water vapour. Generally condensation nuclei are present in plenty in air. But there is scarcity of special ice forming nuclei. Generally clouds are made up of billion of these tiny water droplets or ice crystals or combination of both. When a current of air rises upwards due to increased temperature it goes up, expands and gets cooled. If the cooling continues till the saturation point is reached, the water vapour condenses and forms clouds. The condensation takes place on a nucleus of dust particles. The water particles individually are very small and suspended in the air. Only when the droplets coalesce to from a drop of sufficient weight, to overcome the resistance of air, they fall as rain. Clouds are considered essential and accurate tools for weather forecasting. Classification of clouds Clouds are usually classified according to their height and appearance. -
Both Stratus and Stratocumulus Clouds, Except When Their Tops Are Colder Than About “Congestus” (5C) Are the Largest Cumulus Clouds
358247_358247 6/5/13 6:24 PM Page 1 a guide to the sky 1A. Cirrocumulus. When this high cloud forms, it can give the sky the appearance of 1B. Cirrus (uncinus). A cluster of ice crystals in the form of a hook or tuft forms the top of 1C. Cirrus (spissatus). This is the only cirriform cloud that, by definition is thick enough to 1D. Cirrus (fibratus). These are patchy ice crystal clouds with gently curved or straight wind blowing on a pond of white water. This cloud is often seen on the fringes of storms, and this ice cloud. The larger ice crystals, having fallen below the tuft in strands, are being left produce gray shading except those seen near sunrise and sunset. Sometimes in summer they are filaments. They are older versions of Cirrus clouds. By definition they are not thick enough to after a spell of fine weather, signals a change. Boston, Massachusetts behind. Plymouth, Massachusetts the remnants of Cumulonimbus anvils. Near Sonoma, California produce gray shading except when the sun is low in the sky. Catalina, Arizona 2A. Cirrostratus (nebulosus). This vellum-like ice cloud thickens (more than due to per- 2B. Altostratus. Sunlight fades and brightens as the thicker (opacus) and thinner 2C. Altocumulus (perlucidus). This honeycombed (“perlucidus”) layer cloud usually 2D. Altocumulus (opacus). These thicker layer clouds are the middle-level equivalent of spective) upwind to the west. In winter, rain or snow follows this scene about 70 percent of (translucidus) portions of this icy cloud move rapidly from the southwest. Rain or snow are indicates that large areas (thousands of square km) are undergoing a gradual ascent brought Stratocumulus clouds in structure and depth except that their bases are higher (here about 3-4 the time. -
2.3 Case Study Verification of Ruc/Maps Fog and Visibility Forecasts
Preprints, 9th Conf. on Aviation, Range, and Aerospace Meteorology, AMS, Orlando, FL, September 2000 2.3 CASE STUDY VERIFICATION OF RUC/MAPS FOG AND VISIBILITY FORECASTS Tatiana G. Smirnova* Cooperative Institute for Research in Environmental Sciences (CIRES) University of Colorado/NOAA Forecast Systems Laboratory Boulder, Colorado Stanley G. Benjamin, John M. Brown NOAA Forecast Systems Laboratory Boulder, Colorado 1. INTRODUCTION predictions of surface conditions important for efficient operations in the vicinity of air terminals. Recently per- The Rapid Update Cycle (RUC) which runs operationally formed validations of MAPS/RUC hydrological cycle com- at the National Centers for Environmental Prediction ponents, such as precipitation, evapotranspiration and (NCEP) (Benjamin et al. 1999, 1998), and its experimen- soil moisture, as well as of skin temperature demonstrate tal version (Mesoscale Analysis and Prediction System - the model’s capability to represent surface processes MAPS) run at Forecast Systems Laboratory, were de- with a good degree of realism (Smirnova et al. 2000b). signed to provide frequently updated weather predictions Accurate prediction of aviation-impact variables for better guidance to aviation and other short-range fore- such as fog, surface visibility and cloud ceiling is impor- cast users. In January 2000, several additional aviation- tant for terminal operations. In this paper, a RUC visibility impact diagnostic variables became routinely available as algorithm (an extension to the Stoelinga-Warner (1999) part of the RUC output fields, including visibility, cloud algorithm) is presented and applied to native-grid RUC base (ceiling), stable cloud top, convective cloud top po- output to product diagnostic fields of surface visibility. tential, and surface wind gust potential. -
Rime and Graupel: Description and Characterization As Revealed by Low-Temperature Scanning Electron Microscopy
SCANNING VOL. 25, 121–131 (2003) Received: November 27, 2002 © FAMS, Inc. Accepted: February 20, 2003 Rime and Graupel: Description and Characterization as Revealed by Low-Temperature Scanning Electron Microscopy ALBERT RANGO,JAMES FOSTER,* EDWARD G. JOSBERGER,† ERIC F. ERBE,‡ CHRISTOPHER POOLEY,‡§ WILLIAM P. W ERGIN‡ Jornada Experimental Range, Agricultural Research Service (ARS), U. S. Department of Agriculture (USDA), New Mexico State University, Las Cruces, New Mexico; *Laboratory for Hydrological Sciences, NASA Goddard Space Flight Center, Green- belt, Maryland; †U. S. Geological Survey, Washington Water Science Center, Tacoma, Washington; ‡Soybean Genomics and Improvement Laboratory, ARS, USDA; §Hydrology and Remote Sensing Laboratory, ARS, USDA, Beltsville, Maryland, USA Summary: Snow crystals, which form by vapor deposition, ticle 1 to 3 mm across, composed of hundreds of frozen occasionally come in contact with supercooled cloud cloud droplets interspersed with considerable air spaces; the droplets during their formation and descent. When this oc- original snow crystal is no longer discernible. This study curs, the droplets adhere and freeze to the snow crystals in increases our knowledge about the process and character- a process known as accretion. During the early stages of istics of riming and suggests that the initial appearance of accretion, discrete snow crystals exhibiting frozen cloud the flattened hemispheres may result from impact of the droplets are referred to as rime. If this process continues, leading face of the snow crystal with cloud droplets. The the snow crystal may become completely engulfed in elongated and sinuous configurations of frozen cloud frozen cloud droplets. The resulting particle is known as droplets that are encountered on the more advanced stages graupel. -
Clouds and Precipitation
Chapter 9 CLOUDS AND PRECIPITATION Fire weather is usually fair weather. Clouds, fog, and precipitation do not predominate during the fire season. The appearance of clouds during the fire season may have good portent or bad. Overcast skies shade the surface and thus temper forest flammability. This is good from the wildfire standpoint, but may preclude the use of prescribed fire for useful purposes. Some clouds develop into full-blown thunderstorms with fire-starting potential and often disastrous effects on fire behavior. The amount of precipitation and its seasonal distribution are important factors in controlling the beginning, ending, and severity of local fire seasons. Prolonged periods with lack of clouds and precipitation set the stage for severe burning conditions by increasing the availability of dead fuel and depleting soil moisture necessary for the normal physiological functions of living plants. Severe burning conditions are not erased easily. Extremely dry forest fuels may undergo superficial moistening by rain in the forenoon, but may dry out quickly and become flammable again during the afternoon. 144 CLOUDS AND PRECIPITATION Clouds consist of minute water droplets, ice crystals, or a mixture of the two in sufficient quantities to make the mass discernible. Some clouds are pretty, others are dull, and some are foreboding. But we need to look beyond these aesthetic qualities. Clouds are visible evidence of atmospheric moisture and atmospheric motion. Those that indicate instability may serve as a warning to the fire-control man. Some produce precipitation and become an ally to the firefighter. We must look into the processes by which clouds are formed and precipitation is produced in order to understand the meaning and portent of clouds as they relate to fire weather.