Cumulifor M Clouds Develop As Air Slowly Rises Over Lake Powell in Utah

Total Page:16

File Type:pdf, Size:1020Kb

Load more

Cumulifor m clouds develop as air slowly rises over Lake Powell in Utah. Figure 6.1 Dew forms on clear nightswhen objects on the surface cool to a temperature below the dew point. If these beads of water should freeze, they would become frozen dew. Figure 6.2 These are the delicate ice-crystal patterns that frost exhibits on a window during a cold winter morning. Figure 6.3 Hygroscopic nuclei are “water-loving”, and water vapor rapidly condenses on their surfaces. Hydrophobic nuclei are “water-repelling” and resist condensation. Figure 6.4 The high relative humidity of the cold air above the lake is causing a layer of haze to form on a still winter morning. Figure 6.5 Radiation fog nestled in a valley. Figure 6.6 Advection fog rolling in past the Golden Gate Bridge in San Francisco. As fog moves inland, the air warms and the fog lifts above the surface. Eventually, the air becomes warm enough to totally evaporate the fog. Figure 6.7 Along an irregular coastline, advection fog is more likely to form at the headland where moist surface air converges and rises than at the beach where air diverges and sinks . Figure 6.8 Tiny drops, each one made from many fog droplets, drip from the needles of this tree and provide a valauble source of moisture during the otherwise dry summer along the coast of California. Figure 6.9 Even in a summer, warm air rising above thermal pools in Yellowstone National Park condenses into a type of ateam fog. Figure 6.10 The mixing of two unsatured air parcels can produce fog. Notice in the saturated mixed parcel that the actual mixing ratio (w) is too high. As the mixed parcel cools below its saturation point, water vapor would condense onto nuclei, producing liquid droplets. This would keep tha actual mixing ratio close to the saturation mixing ratio, and the relative humidity of the mixed parcel would remain close to 100 percent. Figure 6.11 Average annual number of days with dense fog throughout the United States. Figure 6.12 Helicopters hovering above na area of shallow fog (diagram a) can produce a clear area (photograph b) by mixing the drier air into the foggy air below. Figure 6.13 Cirrus clouds. Figure 6.14 Cirrocumulus clouds. Figure 6.15 Cirrostratus clouds with a faint halo. Figure 6.16 Altocumulus clouds. Figure 6.17 Altostratus clouds. The appearance of a dimly visible “watery sun” through a deck of gray clouds is usually a good indication that the clouds are altostratus. Figure 6.18 The nimbostratus is the sheetlike cloud from which light rain is falling. The ragged-appearing cloud beneath the nimbostratus is stratus fractus, or scud. Figure 6.19 Stratocumulus clouds. Notice that the rounded masses are larger than those of the altocumulus. Figure 6.20 A layer of low-lying stratus clouds. Figure 6.21 Cumulus clouds. Small cumulus clouds such as these re sometimes called fair weather cumulus, or cumulus humilis. Figure 6.22 Cumulus congestus. This line of cumulus congestus clouds is building along Maryland’s eastern shore. Figure 6.23 A cumulonimbus cloud. Strong upper-level winds blowing from right to left produce a well-defined anvil. Sunlight scattered by falling ice crystals produces the white (bright) area beneath the anvil. Notice the heavy rain shower falling from the base of the cloud. Figure 6.24 A generalized illustration of basic cloud types based on height above the surface and vertical development. Figure 6.25 Lenticular clouds forming one on top of the other on the eastern side of the Sierra Nevada. Figure 6.26 The cloud forming over and downwind of Mt. Rainier is called a banner cloud. Figure 6.27 A pileus cloud forming above a developing cumulus cloud. Figure 6.28 Mammatus cloud forming beneath a thunderstorm. Figure 6.29 A contrail forming behind a jet aircraft. Figure 6.30 The clouds in this photograph are nacreous clouds. They form in the stratosphere and are most easily seen at high latitudes. Figure 6.31 The wavy clouds in this photograph are noctilucent clouds. They are usually observed at high latitudes, at altitudes between 75 and 90 km above the earth’s surface. Figure 6.32 Clouds in the horizon appear closer together than clouds overhead. Note that the amount of clear space between each cloud is the same. To the observer, however, there appears to be more space between clouds 1 and 2 than between clouds 3 and 4. Figure 6.33 The geostationary satellite moves through space at the same rate that the earth rotates, so it remains above a fixed spot on the equator and monitors one area constantly. Figure 6.34 The laser-beam ceilometer sends pulses of infrared radiation up to the cloud. Part of this beam is reflected back to the ceilometer. The interval of time between pulse transmission and return is a measure of cloud height, as displayed on the indicator screen. Figure 6.35 Polar-orbiting satellites scan from north to south, and on each sucessive orbit the satellite scans na area farther to the west. Figure 6.36 Generally, the lower the cloud, the warmer its top. Warm objects emit more infrared energy than do cold objects. Thus, na infrared satellite picture can distinguish warm, low (gray) clouds from cold, high (white) clouds. Figure 6.37a A visible image of the eastern Pacific taken on the same day at just about the same time as Fig. 6.37b. Figure 6.37b An infrared image of the eastern Pacific taken on the same day at just about the same time as Fig.6.34c. Figure 6.37c An enhanced infrared image of the eastern Pacific taken on the same day as the images shown in Fig.6.37(a) and (b). Figure 6.38 Infrared water vapor image. The daker areas represent dry air aloft; the brighter the gray, the more moist the air in the middle or upper troposphere. Bright white areas represent dense cirrus clouds or the tops of thunderstorms. The area in color represents the coldest cloud tops. .
Recommended publications
  • Final Exam December 16, 2004 Name (Print, Last first): Signature: on My Honor, I Have Neither Given Nor Received Unauthorized Aid on This Examination

    Final Exam December 16, 2004 Name (Print, Last first): Signature: on My Honor, I Have Neither Given Nor Received Unauthorized Aid on This Examination

    21111 21111 Instructor(s): Prof. Seiberling PHYSICS DEPARTMENT MET 1010 Final Exam December 16, 2004 Name (print, last ¯rst): Signature: On my honor, I have neither given nor received unauthorized aid on this examination. YOUR TEST NUMBER IS THE 5-DIGIT NUMBER AT THE TOP OF EACH PAGE. (1) Code your test number on your answer sheet (use 76{80 for the 5-digit number). Code your name on your answer sheet. DARKEN CIRCLES COMPLETELY. Code your UFID number on your answer sheet. (2) Print your name on this sheet and sign it also. (3) Do all scratch work anywhere on this exam that you like. Circle your answers on the test form. At the end of the test, this exam printout is to be turned in. No credit will be given without both answer sheet and printout with scratch work most questions demand. (4) Blacken the circle of your intended answer completely, using a #2 pencil or blue or black ink. Do not make any stray marks or some answers may be counted as incorrect. (5) The answers are rounded o®. Choose the closest to exact. There is no penalty for guessing. (6) Hand in the answer sheet separately. There are 33 multiple choice questions. Clearly circle the one best answer for each question. If more than one answer is marked, no credit will be given for that question, even if one of the marked answers is correct. Guessing an answer is better than leaving it blank. All questions are worth 3 points except 1, marked 4 points. Good Luck! 1.
  • From the Line in the Sand: Accounts of USAF Company Grade Officers In

    From the Line in the Sand: Accounts of USAF Company Grade Officers In

    ~~may-='11 From The Line In The Sand Accounts of USAF Company Grade Officers Support of 1 " 1 " edited by gi Squadron 1 fficer School Air University Press 4/ Alabama 6" March 1994 Library of Congress Cataloging-in-Publication Data From the line in the sand : accounts of USAF company grade officers in support of Desert Shield/Desert Storm / edited by Michael P. Vriesenga. p. cm. Includes index. 1. Persian Gulf War, 1991-Aerial operations, American . 2. Persian Gulf War, 1991- Personai narratives . 3. United States . Air Force-History-Persian Gulf War, 1991 . I. Vriesenga, Michael P., 1957- DS79 .724.U6F735 1994 94-1322 959.7044'248-dc20 CIP ISBN 1-58566-012-4 First Printing March 1994 Second Printing September 1999 Third Printing March 2001 Disclaimer This publication was produced in the Department of Defense school environment in the interest of academic freedom and the advancement of national defense-related concepts . The views expressed in this publication are those of the authors and do not reflect the official policy or position of the Department of Defense or the United States government. This publication hasbeen reviewed by security andpolicy review authorities and is clearedforpublic release. For Sale by the Superintendent of Documents US Government Printing Office Washington, D.C . 20402 ii 9&1 gook L ar-dicat£a to com#an9 9zacL orflcF-T 1, #ait, /2ZE4Ent, and, E9.#ECLaL6, TatUlLE. -ZEa¢ra anJ9~ 0 .( THIS PAGE INTENTIONALLY LEFT BLANK Contents Essay Page DISCLAIMER .... ... ... .... .... .. ii FOREWORD ...... ..... .. .... .. xi ABOUT THE EDITOR . ..... .. .... xiii ACKNOWLEDGMENTS . ..... .. .... xv INTRODUCTION .... ..... .. .. ... xvii SUPPORT OFFICERS 1 Madzuma, Michael D., and Buoniconti, Michael A.
  • 911 Communicator Questions to Ask Of

    911 Communicator Questions to Ask Of

    911 Communicator Questions to ask of Severe Weather Spotters 1. Name, home address, and telephone number. 2. Is caller a trained severe weather spotter. 3. Time of call. 4. Time of severe weather event (may be different than call time). 5. Location of severe weather event, which may be different from location where spotter called from. (If spotter doesn’t say 1.2 miles southeast of Anytown, then request names of streets at nearest intersection). 6. Type of Weather Event – (most common to least common order) a. If it’s a wind report, ask if the reported speed is measured or estimated. b. If it’s a wind damage report, ask caller to estimate how many trees are damaged, uprooted, etc., or extent and severity of structural damage. c. If it’s a hail event, ask if the reported size is measured or estimated. (penny, nickel, quarter, golf ball, soft ball, etc.) d. If it’s a flood report, ask caller to estimate depth of water on roads or on lawns, ask if the water is stationary or moving, and extent or severity of damage. e. If it’s a “rotating wall-cloud” report, i. Persistent rotation (usually on backside of storm) = true rotating wall-cloud. ii. No rotation = scary-looking cloud (scud), or a non-rotating wall-cloud. f. If it’s a funnel-cloud report, ask caller if the funnel-shaped cloud is actually rotating. If the caller is too far away from the funnel-cloud they may not be able to see rotation. i. No rotation = just a scary-looking cloud (scud).
  • Chapter 4 Atmospheric Moisture, Condensation, and Clouds

    Chapter 4 Atmospheric Moisture, Condensation, and Clouds

    9/13/2012 Chapter 4 Atmospheric Moisture, Condensation, and Clouds. The sun’s electromagnetic spectrum and some of the descriptive names of each region. The numbers underneath the curve approximate the percent of energy the sun radiates in various regions. 0.4 μm = 400 nm 0.7 μm = 700 nm The daily variation in air temperature is controlled by incoming energy (primarily from the sun) and outgoing energy from the earth’s surface. Where incoming energy exceeds outgoing energy (orange shade), the air temperature rises. Where outgoing energy exceeds incoming energy (gray The hotter sun not only radiates more energy than that of the cooler earth (the area shade), the air under the curve), but it also radiates the majority of its energy at much shorter temperature falls. wavelengths. (The area under the curves is equal to the total energy emitted, and the scales for the two curves differ by a factor of 100,000.) 1 9/13/2012 The average annual incoming solar radiation (yellow line) absorbed by the earth and the atmosphere along with the average annual infrared radiation (red line) emitted by the earth and the atmosphere. Water can exist in 3 phases, depending Evaporation, Condensation, upon pressure and temperature. & Saturation • Evaporation is the change of liquid into a gas and requires heat. • Condensation is the change of a gas into a liquid and releases heat. • Condensation nuclei • Sublimation: solid to gaseous state without becoming a liquid. • Saturation is an equilibrium condition http://www.sci.uidaho.edu/scripter/geog100/l http://chemwiki.ucdavis.edu/Physical_Che in which for each molecule that ect/05‐atmos‐water‐wx/ch5‐part‐2‐water‐ mistry/Physical_Properties_of_Matter/Phas phases.htm e_Transitions/Phase_Diagrams_1 evaporates, one condenses.
  • SKYWARN Weather Spotter Training Presentation

    SKYWARN Weather Spotter Training Presentation

    SKYWARN Spotter Training Chris Kimble National Weather Service Weather Forecast Office Gray, Maine www.weather.gov/gray Overview National Weather Service Definitions and Forecasting Tools Weather Spotters…Why they’re important? Thunderstorms Tornadoes Flash Flooding Storm Safety NWS Mission “To protect the lives and property of the citizens of the United States…” Watches and Warnings Outreach and Training NWS County Warning Areas Basic Definitions WATCH – conditions are favorable for severe weather to develop. Valid 4-6 hours. Contains several counties. WARNING – severe weather has been visually observed or detected on radar. Valid usually 1 hour or less, issued on a storm-by-storm basis. STATEMENT – provides follow-up information to a warning which is in effect. Basic Definitions TORNADO – a violently rotating column of air, attached to a thunderstorm, and in contact with the ground. SEVERE THUNDERSTORM – a thunderstorm which produces hail 1 inch diameter, and/or wind gusts 58 mph (50 knots) or stronger. FLASH FLOOD – a rapid rise in water, usually during or after a period of heavy rain. Tools for Detecting Storms Observations Copyright S. Hanes Computer models Satellite Radar Lightning Detection Network Observations We take many measurements of the atmosphere: Weather Balloons Releases twice a day all over the world at the same time – 900 stations worldwide Measures temperature, humidity, pressure as it goes up Flight lasts about 2 hrs and can reach as high as 115,000 ft Data is input into computer models Computer
  • Laboratory Simulations Show Diabatic Heating Drives Cumulus-Cloud Evolution and Entrainment

    Laboratory Simulations Show Diabatic Heating Drives Cumulus-Cloud Evolution and Entrainment

    Laboratory simulations show diabatic heating drives cumulus-cloud evolution and entrainment Roddam Narasimhaa,1, Sourabh Suhas Diwana, Subrahmanyam Duvvuria,b,2, K. R. Sreenivasa, and G. S. Bhatc aJawaharlal Nehru Centre for Advanced Scientific Research, Bangalore 560064, India; bIndian Institute of Technology Madras, Chennai 600036, India; and cIndian Institute of Science, Bangalore 560012, India Contributed by Roddam Narasimha, August 3, 2011 (sent for review June 16, 2011) Clouds are the largest source of uncertainty in climate science, mining the evolution and entrainment dynamics of cumulus and remain a weak link in modeling tropical circulation. A major clouds. challenge is to establish connections between particulate micro- physics and macroscale turbulent dynamics in cumulus clouds. Background Here we address the issue from the latter standpoint. First we The ability to simulate cloud processes under controlled and show how to create bench-scale flows that reproduce a variety repeatable conditions in the laboratory has long been recognized of cumulus-cloud forms (including two genera and three species), as a potentially valuable aid in studying cloud physics and dy- and track complete cloud life cycles—e.g., from a “cauliflower” con- namics. Many laboratory studies have been directed toward gestus to a dissipating fractus. The flow model used is a transient understanding the effect of small-scale turbulence on droplet plume with volumetric diabatic heating scaled dynamically to simu- microphysics (5, 9), among other issues. Recent experiments on late latent-heat release from phase changes in clouds. Laser-based a jet of moist air in a cloud chamber (11) have shown that the small-scale turbulence at the cloud-clear air interface is aniso- diagnostics of steady plumes reveal Riehl–Malkus type protected tropic.
  • Storm Spotting – Solidifying the Basics PROFESSOR PAUL SIRVATKA COLLEGE of DUPAGE METEOROLOGY Focus on Anticipating and Spotting

    Storm Spotting – Solidifying the Basics PROFESSOR PAUL SIRVATKA COLLEGE of DUPAGE METEOROLOGY Focus on Anticipating and Spotting

    Storm Spotting – Solidifying the Basics PROFESSOR PAUL SIRVATKA COLLEGE OF DUPAGE METEOROLOGY HTTP://WEATHER.COD.EDU Focus on Anticipating and Spotting • What do you look for? • What will you actually see? • Can you identify what is going on with the storm? Is Gilbert married? Hmmmmm….rumor has it….. Its all about the updraft! Not that easy! • Various types of storms and storm structures. • A tornado is a “big sucky • Obscuration of important thing” and underneath the features make spotting updraft is where it forms. difficult. • So find the updraft! • The closer you are to a storm the more difficult it becomes to make these identifications. Conceptual models Reality is much harder. Basic Conceptual Model Sometimes its easy! North Central Illinois, 2-28-17 (Courtesy of Matt Piechota) Other times, not so much. Reality usually is far more complicated than our perfect pictures Rain Free Base Dusty Outflow More like reality SCUD Scattered Cumulus Under Deck Sigh...wall clouds! • Wall clouds help spotters identify where the updraft of a storm is • Wall clouds may or may not be present with tornadic storms • Wall clouds may be seen with any storm with an updraft • Wall clouds may or may not be rotating • Wall clouds may or may not result in tornadoes • Wall clouds should not be reported unless there is strong and easily observable rotation noted • When a clear slot is observed, a well written or transmitted report should say as much Characteristics of a Tornadic Wall Cloud • Surface-based inflow • Rapid vertical motion (scud-sucking) • Persistent • Persistent rotation Clear Slot • The key, however, is the development of a clear slot Prof.
  • Information Contained in a METAR Example METAR Codes

    Information Contained in a METAR Example METAR Codes

    METAR METAR is a format for reporting weather information. A METAR weather report is predominantly used by pilots in fulfillment of a part of a pre-flight weather briefing, and by meteorologists, who use aggregated METAR information to assist in weather forecasting. Raw METAR is the most common format in the world for the transmission of observational weather data. [citation needed] It is highly standardized through the International Civil Aviation Organization (ICAO), which allows it to be understood throughout most of the world. Information contained in a METAR A typical METAR contains data for the temperature, dew point, wind speed and direction, precipitation, cloud cover and heights, visibility, and barometric pressure. A METAR may also contain information on precipitation amounts, lightning, and other information that would be of interest to pilots or meteorologists such as a pilot report or PIREP, colour states and runway visual range (RVR). In addition, a short period forecast called a TRED may be added at the end of the METAR covering likely changes in weather conditions in the two hours following the observation. These are in the same format as a Terminal Aerodrome Forecast (TAF). The complement to METARs, reporting forecast weather rather than current weather, are TAFs. METARs and TAFs are used in VOLMET broadcasts. Example METAR codes International METAR codes The following is an example METAR from Burgas Airport in Burgas, Bulgaria. It was taken on 4 February 2005 at 16:00 Coordinated Universal Time (UTC). METAR LBBG 041600Z 12003MPS 310V290 1400 R04/P1500 R22/P1500U +S BK022 OVC050 M04/M07 Q1020 OSIG 9949//91= • METAR indicates that the following is a standard hourly observation.
  • Flash Flooding

    Flash Flooding

    NationalNational OceanicOceanic andand AtmosphericAtmospheric AdministrationAdministration (NOAA)(NOAA) NationalNational WeatherWeather ServiceService (NWS)(NWS) PresentsPresents SevereSevere WeatherWeather ObserverObserver andand SafetySafety TrainingTraining 20052005 Severe Weather Spotter Line 1-888-668-3344 Spotter Reports E-mail: www.crh.noaa.gov/espotter Homepage Address: www.crh.noaa.gov/iwx 2 GoalsGoals ofof thethe TrainingTraining You will learn: • Definitions of important weather terms and severe weather criteria • How thunderstorms develop and why some become severe • How to correctly identify cloud features that may or may not be associated with severe weather • What information the observer is to report and how to report it • Ways to receive weather information before and during severe weather events • Observer Safety! 3 WFOWFO NorthernNorthern IndianaIndiana (WFO(WFO IWX)IWX) CountyCounty WarningWarning andand ForecastForecast AreaArea (CWFA)(CWFA) Work with public, state and local officials Dedicated team of highly trained professionals 24 hours a day/7 days a week Prepare forecasts and warnings for 2.3 million people in 37 counties 4 SKYWARNSKYWARN (Severe(Severe Weather)Weather) ObserversObservers Why Are You Critical to NWS Operations? • Help overcome Doppler Radar limitations • Provide ground truth which can be correlated with radar signatures prior to, during, and after severe weather • Ground truth reports in warnings heighten public awareness and allow us to have confidence in our warning decisions 5 SKYWARNSKYWARN (Severe(Severe Weather)Weather) ObserversObservers Why Are You Critical to NWS Operations? • The NWS receives hundreds of reports of “False” or “Mis-Identified” funnel clouds and tornadoes each year • We strongly rely on the “2 out of 3” Rule before issuing a warning. Of the following, we like to have 2 out of 3 present before sending out a warning.
  • Glossary of Severe Weather Terms

    Glossary of Severe Weather Terms

    Glossary of Severe Weather Terms -A- Anvil The flat, spreading top of a cloud, often shaped like an anvil. Thunderstorm anvils may spread hundreds of miles downwind from the thunderstorm itself, and sometimes may spread upwind. Anvil Dome A large overshooting top or penetrating top. -B- Back-building Thunderstorm A thunderstorm in which new development takes place on the upwind side (usually the west or southwest side), such that the storm seems to remain stationary or propagate in a backward direction. Back-sheared Anvil [Slang], a thunderstorm anvil which spreads upwind, against the flow aloft. A back-sheared anvil often implies a very strong updraft and a high severe weather potential. Beaver ('s) Tail [Slang], a particular type of inflow band with a relatively broad, flat appearance suggestive of a beaver's tail. It is attached to a supercell's general updraft and is oriented roughly parallel to the pseudo-warm front, i.e., usually east to west or southeast to northwest. As with any inflow band, cloud elements move toward the updraft, i.e., toward the west or northwest. Its size and shape change as the strength of the inflow changes. Spotters should note the distinction between a beaver tail and a tail cloud. A "true" tail cloud typically is attached to the wall cloud and has a cloud base at about the same level as the wall cloud itself. A beaver tail, on the other hand, is not attached to the wall cloud and has a cloud base at about the same height as the updraft base (which by definition is higher than the wall cloud).
  • Metar Abbreviations Metar/Taf List of Abbreviations and Acronyms

    Metar Abbreviations Metar/Taf List of Abbreviations and Acronyms

    METAR ABBREVIATIONS http://www.alaska.faa.gov/fai/afss/metar%20taf/metcont.htm METAR/TAF LIST OF ABBREVIATIONS AND ACRONYMS $ maintenance check indicator - light intensity indicator that visual range data follows; separator between + heavy intensity / temperature and dew point data. ACFT ACC altocumulus castellanus aircraft mishap MSHP ACSL altocumulus standing lenticular cloud AO1 automated station without precipitation discriminator AO2 automated station with precipitation discriminator ALP airport location point APCH approach APRNT apparent APRX approximately ATCT airport traffic control tower AUTO fully automated report B began BC patches BKN broken BL blowing BR mist C center (with reference to runway designation) CA cloud-air lightning CB cumulonimbus cloud CBMAM cumulonimbus mammatus cloud CC cloud-cloud lightning CCSL cirrocumulus standing lenticular cloud cd candela CG cloud-ground lightning CHI cloud-height indicator CHINO sky condition at secondary location not available CIG ceiling CLR clear CONS continuous COR correction to a previously disseminated observation DOC Department of Commerce DOD Department of Defense DOT Department of Transportation DR low drifting DS duststorm DSIPTG dissipating DSNT distant DU widespread dust DVR dispatch visual range DZ drizzle E east, ended, estimated ceiling (SAO) FAA Federal Aviation Administration FC funnel cloud FEW few clouds FG fog FIBI filed but impracticable to transmit FIRST first observation after a break in coverage at manual station Federal Meteorological Handbook No.1, Surface
  • Thunderstorm Anatomy and Dynamics

    Thunderstorm Anatomy and Dynamics

    THUNDERSTORM ANATOMY AND DYNAMICS An Overview Prepared by LCDR Bill Nisley MR 3421 • Cloud Physics Naval Postgraduate School • Monterey, California [email protected] Photo credits: Thunderstorm Cell and Mammatus Clouds by: Michael Bath; Tornado by Daphne Zaras / NSSL; Supercell Thunderstorm by: AMOS; Wall Cloud by: Greg Michels 1. Introduction The purpose of this paper is to present a broad overview of the various cloud structures displayed during the life cycle of a thunderstorm and the atmospheric dynamics associated with each. Knowledge of atmospheric dynamics provides for a keener understanding of the physical processes related to the “why and how” certain cloud features form. Accordingly, observation of cloud features presents visual queuing of changes in the atmosphere. 2. Thunderstorm Formation and Stages of Development Thunderstorm development is dependent on three basic components: moisture, instability, and some form of lifting mechanism. 2.1 Moisture – As air near the surface is lifted higher in the atmosphere and cooled, available water vapor condenses into small water droplets which form clouds. As condensation of water vapor occurs, latent heat is released making the rising air warmer and less dense than its surroundings (figure 1). The added heat allows the air (parcel) to continue to rise and form an updraft within the developing cloud structure. 2.1.1 In general1, low level moisture increases instability simply by making more latent heat available to the lower atmosphere. Increasing mid level moisture can decrease instability in the atmosphere because moist air is less dense than dry air and therefor is unable to evaporate • Figure 1 – Positive buoyancy / instability as a result of precipitation and cloud droplets as condensation and release of latent heat.