The Electrification of Thunderstorms and the Formation of Precipitation
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Quantification of Cloud Condensation Nuclei Effects on the Microphysical Structure of Continental Thunderstorms Using Polarimetr
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Dissertations & Theses in Earth and Atmospheric Earth and Atmospheric Sciences, Department of Sciences 11-2018 Quantification of Cloud Condensation Nuclei Effects on the Microphysical Structure of Continental Thunderstorms Using Polarimetric Radar Observations Kun-Yuan Lee University of Nebraska-Lincoln, [email protected] Follow this and additional works at: https://digitalcommons.unl.edu/geoscidiss Part of the Atmospheric Sciences Commons, Meteorology Commons, and the Other Oceanography and Atmospheric Sciences and Meteorology Commons Lee, Kun-Yuan, "Quantification of Cloud Condensation Nuclei Effects on the Microphysical Structure of Continental Thunderstorms Using Polarimetric Radar Observations" (2018). Dissertations & Theses in Earth and Atmospheric Sciences. 113. https://digitalcommons.unl.edu/geoscidiss/113 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 Dissertations & Theses in Earth and Atmospheric Sciences by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. i QUANTIFICATION OF CLOUD CONDENSATION NUCLEI EFFECTS ON THE MICROPHYSICAL STRUCTURE OF CONTINENTAL THUNDERSTORMS USING POLARIMETRIC RADAR OBSERVATIONS by Kun-Yuan Lee A THESIS Presented to the Faculty of The Graduate College at the University of Nebraska In Partial Fulfillment of Requirements For the Degree of Master of Science Major: Earth and Atmospheric Sciences Under the Supervision of Professor Matthew S. Van Den Broeke Lincoln, Nebraska November, 2018 i QUANTIFICATION OF CLOUD CONDENSATION NUCLEI EFFECTS ON THE MICROPHYSICAL STRUCTURE OF CONTINENTAL THUNDERSTORMS USING POLARIMETRIC RADAR OBSERVATIONS Kun-Yuan Lee, M.S. University of Nebraska, 2019 Advisor: Matthew S. -
Multidisciplinary Design Project Engineering Dictionary Version 0.0.2
Multidisciplinary Design Project Engineering Dictionary Version 0.0.2 February 15, 2006 . DRAFT Cambridge-MIT Institute Multidisciplinary Design Project This Dictionary/Glossary of Engineering terms has been compiled to compliment the work developed as part of the Multi-disciplinary Design Project (MDP), which is a programme to develop teaching material and kits to aid the running of mechtronics projects in Universities and Schools. The project is being carried out with support from the Cambridge-MIT Institute undergraduate teaching programe. For more information about the project please visit the MDP website at http://www-mdp.eng.cam.ac.uk or contact Dr. Peter Long Prof. Alex Slocum Cambridge University Engineering Department Massachusetts Institute of Technology Trumpington Street, 77 Massachusetts Ave. Cambridge. Cambridge MA 02139-4307 CB2 1PZ. USA e-mail: [email protected] e-mail: [email protected] tel: +44 (0) 1223 332779 tel: +1 617 253 0012 For information about the CMI initiative please see Cambridge-MIT Institute website :- http://www.cambridge-mit.org CMI CMI, University of Cambridge Massachusetts Institute of Technology 10 Miller’s Yard, 77 Massachusetts Ave. Mill Lane, Cambridge MA 02139-4307 Cambridge. CB2 1RQ. USA tel: +44 (0) 1223 327207 tel. +1 617 253 7732 fax: +44 (0) 1223 765891 fax. +1 617 258 8539 . DRAFT 2 CMI-MDP Programme 1 Introduction This dictionary/glossary has not been developed as a definative work but as a useful reference book for engi- neering students to search when looking for the meaning of a word/phrase. It has been compiled from a number of existing glossaries together with a number of local additions. -
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. -
Precipitation Processes
Loknath Adhikari PRECIPITATION PROCESSES This summary deals with the mechanisms of warm rain processes and tries to summarize the factors affecting the rapid growth of hydrometeors in clouds from (sub) micrometric cloud condensation nuclei to millimetric raindrop sized hydrometeors. Condensation, which accounts for the initial drop formation, and the collision coalescence process will be briefly described. The collision and coalescence process is largely dependent on the initial droplet spectrum in the clouds. Various models have been prepared based on detailed microphysics of clouds and dynamical aspects to quantify the transition from cloud droplets of typical diameter 10 µm to rain-sized drops of 1000 µm in some tens of minutes. These models underestimate the droplet spectra in real clouds. Some of these cloud models will be discussed and possible causes of the discrepancies between model output and real spectra will be analyzed based on works of various authors. Introduction Precipitation processes involves a complex mechanism in the atmosphere that produces raindrop-sized hydrometeors, in the milli-metric range, from diffusional condensation of water vapor in clouds and later collision and coalescence among the droplets formed through the diffusional processes (Brenguier and Chaumat, 2001; Beard and Ochs, 1993). Both of these processes are affected by entrainment of dry environmental air and turbulent mixing within the cloud. These factors show a tendency to broaden the drop size spectra. The droplet size larger than 40 µm is critical for the initiation of the warm rain process (Brenguier and Chaumat, 2001). Pre-existence of large condensation nuclei in the cloud has been taken as a plausible reason for the existence of such large hydrometeors that initiate rainfall. -
Exercise 10: Cumulus Cloud with Bulk Cloud Physics
Exercise Hints Tasks Results Exercise 10: Cumulus Cloud With Bulk Cloud Physics PALM group Institute of Meteorology and Climatology, Leibniz Universität Hannover last update: 21st September 2015 PALM group PALM Seminar 1 / 16 I Initialize the simulation with a marine, cumulus-topped, trade-wind region boundary layer. I Trigger the cloud by a bubble of rising warm air. I Parameterize condensation using a simple bulk cloud physics scheme. I Learn how to carry out conditional averages. Exercise Hints Tasks Results Exercise Exercise 10: Cumulus Cloud With Bulk Cloud Physics Simulate a cumulus cloud: PALM group PALM Seminar 2 / 16 I Trigger the cloud by a bubble of rising warm air. I Parameterize condensation using a simple bulk cloud physics scheme. I Learn how to carry out conditional averages. Exercise Hints Tasks Results Exercise Exercise 10: Cumulus Cloud With Bulk Cloud Physics Simulate a cumulus cloud: I Initialize the simulation with a marine, cumulus-topped, trade-wind region boundary layer. PALM group PALM Seminar 2 / 16 I Parameterize condensation using a simple bulk cloud physics scheme. I Learn how to carry out conditional averages. Exercise Hints Tasks Results Exercise Exercise 10: Cumulus Cloud With Bulk Cloud Physics Simulate a cumulus cloud: I Initialize the simulation with a marine, cumulus-topped, trade-wind region boundary layer. I Trigger the cloud by a bubble of rising warm air. PALM group PALM Seminar 2 / 16 I Learn how to carry out conditional averages. Exercise Hints Tasks Results Exercise Exercise 10: Cumulus Cloud With Bulk Cloud Physics Simulate a cumulus cloud: I Initialize the simulation with a marine, cumulus-topped, trade-wind region boundary layer. -
Exam 2: Cloud Physics April 16, 2008 Physical Meteorology 3440
Name ____________________________ Exam 2: Cloud Physics April 16, 2008 Physical Meteorology 3440 Questions 1-10 are worth 5 points each. Questions 11-15 are worth 10 points each. 1. Rank the concentrations of the following from lowest (1) to highest (3): cloud condensation nuclei (3) cloud droplets (2) raindrops (1) 2. Match the following particles with their typical size cloud condensation nuclei 10 μm cloud droplets 0.1 μm raindrops 1000 μm 3. Why do ice crystals grow at the expense of supercooled water droplets? The saturation vapor pressure over liquid is higher than the saturation vapor pressure over ice. Therefore, the environment will be more supersaturated with respect to ice than with respect to liquid, and the ice crystals will grow more quickly. At some point, the ice crystals may bring S (with respect to ice) down to 1, in which case Sl (with respect to liquid) is less than 1, causing the liquid drops to evaporate. 4. Match the following particles with their most likely means of growth 5 μm cloud drop accretion 5 μm ice crystal aggregation 100 μm dendritic ice crystals in ice cloud depositional growth 500 μm ice crystal in mixed-phase cloud condensational growth 100 μm cloud drop collision-coalescence 5. Fill in the blanks: Not all clouds with temperatures below the freezing point of water contain ice, because of the scarcity of ice nuclei in the atmosphere, and the temperature at which they nucleate ice. As the cloud temperature decreases, the probability of ice increases to the 1 temperature of -40 °C, at which point homogeneous freezing occurs. -
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. -
Guidance on the Harmonized WAFS Grids for Cumulonimbus Cloud, Icing and Turbulence Forecasts
Guidance on the Harmonized WAFS Grids for Cumulonimbus Cloud, Icing and Turbulence Forecasts. Version 2.5 13 September 2012 Guidance on the Harmonized WAFS Grids for Cumulonimbus Cloud, Icing and Turbulence forecasts. Contents 1. Introduction ....................................................................................................................... 2 2. General Description of Data ............................................................................................. 2 3. Description of Data Values ............................................................................................... 4 4. Grid Interpolation ............................................................................................................. 5 5. Description of the Harmonization Process ..................................................................... 5 6. Explanation of differences between the WAFS gridded forecasts for CB cloud, icing and turbulence and the WAFS significant weather (SIGWX) forecasts ............................. 6 7. Suggested usage of WAFS gridded forecasts for Cb cloud, icing and turbulence ...... 8 7.1 General principles ..................................................................................................... 8 7.2 Use of the WAFS Clear Air Turbulence (CAT) gridded forecast ........................ 8 7.3 Use of the WAFS icing gridded forecast ................................................................. 9 7.4 Use of the WAFS Cb cloud gridded forecasts ..................................................... -
Twelve Lectures on Cloud Physics
Twelve Lectures on Cloud Physics Bjorn Stevens Winter Semester 2010-2011 Contents 1 Lecture 1: Clouds–An Overview3 1.1 Organization...........................................3 1.2 What is a cloud?.........................................3 1.3 Why are we interested in clouds?................................4 1.4 Cloud classification schemes..................................5 2 Lecture 2: Thermodynamic Basics6 2.1 Thermodynamics: A brief review................................6 2.2 Variables............................................8 2.3 Intensive, Extensive, and specific variables...........................8 2.3.1 Thermodynamic Coordinates..............................8 2.3.2 Composite Systems...................................8 2.3.3 The many variables of atmospheric thermodynamics.................8 2.4 Processes............................................ 10 2.5 Saturation............................................ 10 3 Lecture 3: Droplet Activation 11 3.1 Supersaturation over curved surfaces.............................. 12 3.2 Solute effects.......................................... 14 3.3 The Kohler¨ equation and its properties............................. 15 4 Lecture 4: Further Properties of an Isolated Drop 16 4.1 Diffusional growth....................................... 16 4.1.1 Temperature corrections................................ 18 4.1.2 Drop size effects on droplet growth.......................... 20 4.2 Terminal fall speeds of drops and droplets........................... 20 5 Lecture 5: Populations of Particles 22 5.1 -
Lightning Dr
ESCI 340 - Cloud Physics and Precipitation Processes Lesson 12 - Lightning Dr. DeCaria References: The Lightning Discharge, Uman The Electrical Nature of Storms, MacGorman and Rust Fundamentals of Lightning, Rakov `Runaway Breakdown and the Mysteries of Lightning', Gurevich and Zybin, Physics Today, 2005 Mechanisms of Charge Separation • The top of a thunderstorm (cumulonimbus) cloud becomes positively charged, while the middle-to-lower portions of the cloud becomes negatively charged. • Often there is also a smaller pocket of positive charge near the bottom of the cloud. • The reason for this charge separation is not completely understood, but some of the more prominent theories are described below. • Those mechanisms requiring a preexisting electric field are called inductive charging mechanisms, while those not requiring a preexisting electric field are called nonin- ductive charging mechanisms. Inductive ion capture: In a preexisting electrical field, there will be a separation of charge across a hydrometeor. As the hydrometeor falls, gaseous ions will either be attracted or repelled from the underside of the hydrometeor, depending on their sign. Thus, the hydrometeor will gain an increasing charge of whatever sign it has on its topside. In Fig. 1 the positive ions are repelled as the hydrometeor falls, but the negative ions are attracted. Thus, the hydrometeor gains a net negative charge as it falls. Figure 1: Inductive ion capture. 1 Ion capture may play a role in weakly electrified storms, but cannot be used to explain the amount of charge separation seen in a thunderstorm without the presence of other mechanisms. Inductive particle rebound: Two hydrometeors in a preexisting electric field, falling at different speeds, will exchange charge during collision as shown in Fig. -
20 WCM Words
Spring, 2017 - VOL. 22, NO. 2 Evan L. Heller, Editor/Publisher Steve DiRienzo, WCM/Contributor Ingrid Amberger, Webmistress FEATURES 2 Ten Neat Clouds By Evan L. Heller 10 Become a Weather-Ready Nation Ambassador! By Christina Speciale 12 Interested in CoCoRaHS? By Jennifer Vogt Miller DEPARTMENTS 14 Spring 2017 Spotter Training Sessions 16 ALBANY SEASONAL CLIMATE SUMMARY 18 Tom Wasula’s WEATHER WORD FIND 19 From the Editor’s Desk 20 WCM Words Northeastern StormBuster is a semiannual publication of the National Weather Service Forecast Office in Albany, New York, serving the weather spotter, emergency manager, cooperative observer, ham radio, scientific and academic communities, and weather enthusiasts, all of whom share a special interest or expertise in the fields of meteorology, hydrology and/or climatology. Non-Federal entities wishing to reproduce content contained herein must credit the National Weather Service Forecast Office at Albany and any applicable authorship as the source. 1 TEN NEAT CLOUDS Evan L. Heller Meteorologist, NWS Albany There exist a number of cloud types based on genera as classified in the International Cloud Atlas. Each of these can also be sub-classified into one of several possible species. These can further be broken down into one of several varieties, which, in turn, can be further classified with supplementary features. This results in hundreds of different possibilities for cloud types, which can be quite a thrill for cloud enthusiasts. We will take a look at 10 of the rarer and more interesting clouds you may or may not have come across. A. CLOUDS INDICATING TURBULENCE 1. Altocumulus castellanus – These are a species of mid-level clouds occurring from about 6,500 to 16,500 feet in altitude. -
Cloud Microphysics
Cloud microphysics Claudia Emde Meteorological Institute, LMU, Munich, Germany WS 2011/2012 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 nucleation heterogeneous nucleation contact nucleation crystal growth (from water phase, riming, aggregation) formation of precipitation Observation of cloud microphysical properties Parameterization of clouds in climate and NWP models Cloud microphysics November 24, 2011 2 / 35 Growth rate and size distribution growing droplets consume water vapor faster than it is made available by cooling and supersaturation decreases haze droplets evaporate, activated droplets continue to grow by condensation growth rate of water droplet dr 1 = G S dt l r smaller droplets grow faster than larger droplets sizes of droplets in cloud become increasingly uniform, approach monodisperse distribution Figure from Wallace and Hobbs Cloud microphysics November 24, 2011 3 / 35 Size distribution evolution q 2 r = r0 + 2Gl St 0.8 1.4 t=0 t=0 0.7 t=10 t=10 1.2 t=30 t=30 0.6 t=50 t=50 1.0 0.5 0.8 0.4 0.6 0.3 n [normalized] n [normalized] 0.4 0.2 0.2 0.1 0.0 0.0 0 2 4 6 8 10 12 14 16 0 2 4 6 8 10 12 14 16 radius [arbitrary units] radius [arbitrary units] Cloud microphysics November 24, 2011 4 / 35 Growth by collection growth by condensation alone does not explain formation of larger drops other mechanism: growth by collection Cloud microphysics November 24, 2011 5 / 35 Terminal fall speed r 40µ .