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Precipitation Effects of Giant Cloud Condensation Nuclei Artificially Introduced Into Stratocumulus Clouds
Atmos. Chem. Phys., 15, 5645–5658, 2015 www.atmos-chem-phys.net/15/5645/2015/ doi:10.5194/acp-15-5645-2015 © Author(s) 2015. CC Attribution 3.0 License. Precipitation effects of giant cloud condensation nuclei artificially introduced into stratocumulus clouds E. Jung1, B. A. Albrecht1, H. H. Jonsson2, Y.-C. Chen3,4, J. H. Seinfeld3, A. Sorooshian5, A. R. Metcalf3,*, S. Song1, M. Fang1, and L. M. Russell6 1Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, FL, USA 2Center for Interdisciplinary Remotely-Piloted Aircraft Studies, Naval Postgraduate School, Monterey, California, USA 3California Institute of Technology, Pasadena, California, USA 4Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA 5Department of Chemical and Environmental Engineering, and Department of Atmospheric Sciences, University of Arizona, Tucson, Arizona, USA 6Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California, USA *now at: Department of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota, California, USA Correspondence to: E. Jung ([email protected]) Received: 7 November 2014 – Published in Atmos. Chem. Phys. Discuss.: 7 January 2015 Revised: 6 April 2015 – Accepted: 11 April 2015 – Published: 22 May 2015 Abstract. To study the effect of giant cloud condensation 1 Introduction nuclei (GCCN) on precipitation processes in stratocumulus clouds, 1–10 µm diameter salt particles (salt powder) were The stratocumulus (Sc) cloud deck is the most persistent released from an aircraft while flying near the cloud top on cloud type in the world, and the variations of the cloud 3 August 2011 off the central coast of California. The seeded amount and the albedo can significantly impact the climate area was subsequently sampled from the aircraft that was system through their radiative effects on the earth system equipped with aerosol, cloud, and precipitation probes and (e.g., Hartmann et al., 1992; Slingo, 1990). -
Touching the Clouds Activity Guide
Touching the Clouds Activity Guide Purpose Provide a mental representation of each cloud type Create a tactile cloud identification chart Overview Individuals will construct and touch a tactile model of common types of clouds to learn how to describe the clouds based on their shape and texture. They will compare their descriptions with the standard classifications using the cloud types identified in the GLOBE Clouds Protocol. Time: 45 minutes to 1 ½ hours, depending on individual’s age Level: All Materials (per person) One large sheet of cardstock (18” x 12”) Tape One set of Braille labels for each cloud type and/or markers One small feather A layered piece of blanket or soft fabric (eight 1’ X 1” pieces) Cotton balls of varied sizes One tissue Organza or a similar material, cut into pieces, one layered 1” x 1” piece Pillow stuffing, one 1” x 1” piece A tsp of sand Three paper clips Liquid glue Scissors Baby Wipes Preparation Use tape to divide the large cardstock sheet in four sections: one for the cloud title at the top and three for the altitudes: using a portrait layout, place three pieces of tape horizontally, from side to side of the sheet. 1. 1” off the upper edge of the sheet 2. 8” off the upper edge of the sheet 1 Steps What to do and how to do it: Making A Tactile Cloud Identification Chart 1. Discuss that clouds come in three basic shapes: cirrus, stratus and cumulus. a. Feel of the 4” feather and describe it; discuss that these wispy clouds are high in the sky and are named cirrus. -
Tides Foundation 2017 Form
OMB No. 1545-0047 Form 990 Return of Organization Exempt From Income Tax 2017 Under section 501(c), 527, or 4947(a)(1) of the Internal Revenue Code (except private foundations) G Do not enter social security numbers on this form as it may be made public. Open to Public Department of the Treasury Internal Revenue Service G Go to www.irs.gov/Form990 for instructions and the latest information. Inspection A For the 2017 calendar year, or tax year beginning , 2017, and ending , B Check if applicable: C D Employer identification number Address change Tides Foundation 51-0198509 Name change P.O. Box 29903 E Telephone number Initial return San Francisco, CA 94129-0903 415-561-6400 Final return/terminated X Amended return G Gross receipts $ 439,417,675. Application pending F Name and address of principal officer: Kriss Deiglmeier H(a) Is this a group return for subordinates? Yes X No H(b) Are all subordinates included? Yes No Same As C Above If 'No,' attach a list. (see instructions) I Tax-exempt status X 501(c)(3) 501(c) ( )H (insert no.) 4947(a)(1) or 527 J Website: G www.tides.org H(c) Group exemption number G K Form of organization: X Corporation Trust Association OtherG L Year of formation: 1976 M State of legal domicile: CA Part I Summary 1 Briefly describe the organization's mission or most significant activities:Tides Foundation's primary exempt purpose is grantmaking. We empower individuals and institutions to move money efficiently and effectively towards positive social change. 2 Check this box G if the organization discontinued its operations or disposed of more than 25% of its net assets. -
Graphical Area Forecast User Guide a Guide for the Transition from Arfors to GAF
Graphical Area Forecast User Guide A guide for the transition from ARFORs to GAF October 2017 | Version 1.2 Graphical Area Forecast User Guide Document Control Revision history VERSION DATE DESCRIPTION AUTHOR 1 15 September 2017 Final version Elizabeth Heba Update to provide clarification on AIRMETs 1.1 13 October 2017 Elizabeth Heba and SIGMETs Update to GAF samples and worked example 1.2 20 October 2017 Additional text in Area Briefing (NAIPS) Ashwin Naidu Section Update to abbreviation examples Approval for release DATE NAME Position Signature National Manager Aviation 20 October 2017 Gordon Jackson Meteorological Services Version number Date of issue th Version 1.2 20 October 2017 © Commonwealth of Australia 2017 This work is copyright. Apart from any use as permitted under the Copyright Act 1968, no part may be reproduced without prior written permission from the Bureau of Meteorology. Requests and inquiries concerning reproduction and rights should be addressed to the Production Manager, Communication Section, Bureau of Meteorology, GPO Box 1289, Melbourne 3001. Information regarding requests for reproduction of material from the Bureau website can be found at www.bom.gov.au/other/copyright.shtml ii Graphical Area Forecast User Guide Table of Contents 1 Purpose .......................................................................................................................................... 1 2 Introduction ................................................................................................................................... -
Chapter 4: Fog
CHAPTER 4: FOG Fog is a double threat to boaters. It not only reduces visibility but also distorts sound, making collisions with obstacles – including other boats – a serious hazard. 1. Introduction Fog is a low-lying cloud that forms at or near the surface of the Earth. It is made up of tiny water droplets or ice crystals suspended in the air and usually gets its moisture from a nearby body of water or the wet ground. Fog is distinguished from mist or haze only by its density. In marine forecasts, the term “fog” is used when visibility is less than one nautical mile – or approximately two kilometres. If visibility is greater than that, but is still reduced, it is considered mist or haze. It is important to note that foggy conditions are reported on land only if visibility is less than half a nautical mile (about one kilometre). So boaters may encounter fog near coastal areas even if it is not mentioned in land-based forecasts – or particularly heavy fog, if it is. Fog Caused Worst Maritime Disaster in Canadian History The worst maritime accident in Canadian history took place in dense fog in the early hours of the morning on May 29, 1914, when the Norwegian coal ship Storstadt collided with the Canadian Pacific ocean liner Empress of Ireland. More than 1,000 people died after the Liverpool-bound liner was struck in the side and sank less than 15 minutes later in the frigid waters of the St. Lawrence River near Rimouski, Quebec. The Captain of the Empress told an inquest that he had brought his ship to a halt and was waiting for the weather to clear when, to his horror, a ship emerged from the fog, bearing directly upon him from less than a ship’s length away. -
Levey Tran ME ID: 214-765 MCEN – 4228 – 002 Flow Visualizations
Levey Tran ME ID: 214-765 MCEN – 4228 – 002 Flow Visualizations Clouds 1 Image Report The image described in this report is one that completes the Clouds 1 image assignment. The purpose of this assignment was to photograph numerous images of clouds and after many photographs were taken, the photographer was to choose a final desired cloud image. The photographs were meant to help the photographer visualize and experience the physics and flow phenomena of clouds. Too often clouds are overlooked and their beauty misjudged, but when one pays close attention and learns the physics behind the numerous types of clouds, a true appreciation can be achieved. For this assignment, I was trying to find a cloud image that resembled a stormy cloud. The image was taken on February 13, 2010 at Boulder Reservoir in the afternoon at about 2:00 PM looking between the south and south-east direction. This large group of clouds was several miles away in the distance, so the picture was taken at a small angle above the horizon. The first few images showed the horizon about 1/5th of the way from the bottom of the image. But the original photograph to this image was zoomed in and taken at an angle slightly greater than those images with the horizon in the picture. When I first began analyzing the cloud image, I had thought it looked very much like a Cumulus Congestus cloud. But I was only paying attention to the top of the cloud where it looks like cauliflowers. I also found that for it to be classified as a Cumulus Congestus, it needs to be taller than it is wide, and this cloud does not fit that description. -
DRI Cloud Condensation Nuclei (CCN) Spectrometer Measurements
Cloud Condensation Nuclei (CCN)—water-soluble particles that cloud droplets condense upon. 10-1000 nm or 0.01-1 µm or 10-6-10-4 cm. (), CCN concentrations vary from 1-105 cm-3 CCN determine cloud droplet (5-50 µm) concentrations, which vary from 1-104 cm-3 CCN are amplified by cloud condensation from 10 to 10,000 nm (0.01 to 10 µm). Thousand in size, million in surface area, billion in volume! DRI Cloud condensation nuclei (CCN) spectrometers. Produce a field of supersaturations (S) by thermal diffusion of temperature and water vapor between two parallel plates, where cloud droplets grow on hygroscopic sample particles. More hygroscopic (e.g., larger) particles produce larger cloud droplets. Continuous flow through the cloud chamber (~30s) then into an optical particle counter (OPC). CCN spectrum is deduced from the OPC droplet spectrum. A calibration curve relates OPC droplet size to particle hygroscopicity (critical supersaturation—Sc). Calibration is done with nuclei of known composition (e.g., NaCl) and size (differential mobility analyzer—DMA— electrostatic classifier--EC). Assumes that all CCN with the same Sc regardless of composition (or size) produce the same droplet sizes. Calibration holds only if all chamber parameters (i.e., flows and temperatures) remain constant. Sc inversely proportional to number of soluble ions. Traditionally CCN plots are cumulative because clouds act cumulatively on the aerosol— all nuclei with Sc < cloud S produce “activated” cloud droplets. Also previous CCN instruments had too few data points to produce a differential spectrum. DRI CCN spectrometers have enough data points to produce differential spectra. -
Cloud Protocols W Elcome
Cloud Protocols W elcome Purpose Geography To observe the type and cover of clouds includ- The nature and extent of cloud cover ing contrails affects the characteristics of the physical geographic system. Overview Scientific Inquiry Abilities Students observe which of ten types of clouds Intr Use a Cloud Chart to classify cloud types. and how many of three types of contrails are visible and how much of the sky is covered by Estimate cloud cover. oduction clouds (other than contrails) and how much is Identify answerable questions. covered by contrails. Design and conduct scientific investigations. Student Outcomes Use appropriate mathematics to analyze Students learn how to make estimates from data. observations and how to categorize specific Develop descriptions and predictions clouds following general descriptions for the using evidence. categories. Recognize and analyze alternative explanations. Pr Students learn the meteorological concepts Communicate procedures, descriptions, otocols of cloud heights, types, and cloud cover and and predictions. learn the ten basic cloud types. Science Concepts Time 10 minutes Earth and Space Science Weather can be described by qualitative Level observations. All Weather changes from day to day and L earning A earning over the seasons. Frequency Weather varies on local, regional, and Daily within one hour of local solar noon global spatial scales. Clouds form by condensation of water In support of ozone and aerosol measure- vapor in the atmosphere. ments ctivities Clouds affect weather and climate. At the time of a satellite overpass The atmosphere has different properties Additional times are welcome. at different altitudes. Water vapor is added to the atmosphere Materials and Tools by evaporation from Earth’s surface and Atmosphere Investigation Data Sheet or transpiration from plants. -
Types of Clouds
Types of Clouds What’s the Weather? Cirrus, Cirrocumulus and Cirrostratus (high 5000-16,000 m) . thin and often wispy . composed of ice crystals that originate from the freezing of supercooled water droplets. Generally occur in fair weather and point in the direction of air movement at their elevation. Cirrus . They are made of ice crystals and have long, thin, wispy streamers. Cirrus clouds are usually white and predict fair weather. cirrus cirrus cirrus cirrus cirrus cirrus Cirrocumulus . They are small rounded puffs that usually appear in long rows. Cirrocumulus are usually white, but sometimes appear gray. Cirrocumulus are usually seen in the winter time and mean that there will be fair, but cold weather. Cirrostratus . Sheetlike thin clouds that usually cover the entire sky. Cirrostratus clouds usually come 12-24 hours before a rain or snow storm. Altocumulus and Altostratus (middle 2,000 to 7, 000 m) . Middle clouds are made of ice crystals and water droplets. The base of a middle cloud above the surface can be anywhere from 2000-8000m in the tropics to 2000-4000m in the polar regions. An Altocumulus . They are grayish-white with one part of the cloud darker than the other. Usually form in groups. If you see altocumulus clouds on a warm sticky morning, then expect thunderstorms by late afternoon. Altostratus . An altostratus cloud usually covers the whole sky. The cloud looks gray or blue-gray. Usually forms ahead of storms that have a lot of rain or snow. Sometimes, rain will fall from an altostratus cloud. If the rain hits the ground, then the cloud is called a nimbostratus cloud. -
ICA Vol. 1 (1956 Edition)
·wMo o '-" I q Sb 10 c. v. i. J c.. A INTERNATIONAL CLOUD ATLAS Volume I WORLD METEOROLOGICAL ORGANIZATION 1956 c....._/ O,-/ - 1~ L ) I TABLE OF CONTENTS Pages Preface to the 1939 edition . IX Preface to the present edition . xv PART I - CLOUDS CHAPTER I Introduction 1. Definition of a cloud . 3 2. Appearance of clouds . 3 (1) Luminance . 3 (2) Colour .... 4 3. Classification of clouds 5 (1) Genera . 5 (2) Species . 5 (3) Varieties . 5 ( 4) Supplementary features and accessory clouds 6 (5) Mother-clouds . 6 4. Table of classification of clouds . 7 5. Table of abbreviations and symbols of clouds . 8 CHAPTER II Definitions I. Some useful concepts . 9 (1) Height, altitude, vertical extent 9 (2) Etages .... .... 9 2. Observational conditions to which definitions of clouds apply. 10 3. Definitions of clouds 10 (1) Genera . 10 (2) Species . 11 (3) Varieties 14 (4) Supplementary features and accessory clouds 16 CHAPTER III Descriptions of clouds 1. Cirrus . .. 19 2. Cirrocumulus . 21 3. Cirrostratus 23 4. Altocumulus . 25 5. Altostratus . 28 6. Nimbostratus . 30 " IV TABLE OF CONTENTS Pages 7. Stratoculllulus 32 8. Stratus 35 9. Culllulus . 37 10. Culllulonimbus 40 CHAPTER IV Orographic influences 1. Occurrence, structure and shapes of orographic clouds . 43 2. Changes in the shape and structure of clouds due to orographic influences 44 CHAPTER V Clouds as seen from aircraft 1. Special problellls involved . 45 (1) Differences between the observation of clouds frolll aircraft and frolll the earth's surface . 45 (2) Field of vision . 45 (3) Appearance of clouds. 45 (4) Icing . -
Manipulating Marine Stratocumulus Cloud Amount and Albedo: A
Review of “Manipulating marine stratocumulus cloud amount and albedo: a process-modeling study of aerosol-cloud-precipitation interactions in response to injection of cloud condensation nuclei”, by Wang, Rasch, and Feingold Recommendation: Accept subject to some revision Review by Robert Wood, University of Washington Overview: This paper uses large-domain large eddy simulations to explore the sensitivity of marine stratocumulus clouds, under two sets of meteorological conditions and three different background microphysical states, to injections of cloud condensation nuclei (CCN) from ships. The experiments are designed to test a widely-known geoengineering proposal to increase the planetary albedo by increasing the cloud shortwave reflectivity through injections of artificially- generated sea-salt aerosol. The study is very interesting and finds that only for some of the background cloud states (meteorological/microphysical) do the injections significantly increase the albedo. Clouds with the higher concentrations of background CCN typical of moderately polluted marine stratocumulus are barely susceptible to CCN injection. Clouds with low background CCN are typically more susceptible but only when the background state is precipitating. Indeed precipitation suppression appears to be a necessary condition for the CCN injection to increase cloud albedo, but too much drizzle is found to reduce the susceptibility somewhat. This dependence of albedo increase upon precipitation suppression is not solely because precipitating clouds are also those with low CCN and therefore are more susceptible in the Platnick and Twomey sense, since the dry meteorological conditions case has relatively low CCN (55 cm-3 in the unperturbed case) that one would expect to be susceptible. The results are intriguing and certainly worthy of publication in Atmospheric Chemistry and Physics. -
Degradation of Radar Reflectivity by Cloud Attenuation at Microwave Frequency
640 JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY VOLUME 24 Degradation of Radar Reflectivity by Cloud Attenuation at Microwave Frequency OLIVIER PUJOL AND JEAN-FRANÇOIS GEORGIS Laboratoire d’Aérologie, Observatoire Midi-Pyrénées, Université Paul Sabatier, Toulouse, France LAURENT FÉRAL Laboratoire AD2M, Université Paul Sabatier, Toulouse, France HENRI SAUVAGEOT Laboratoire d’Aérologie, Observatoire Midi-Pyrénées, Université Paul Sabatier, Toulouse, France (Manuscript received 2 November 2005, in final form 7 June 2006) ABSTRACT The main object of this paper is to emphasize that clouds—the nonprecipitating component of condensed atmospheric water—can produce a strong attenuation at operational microwave frequencies, although they present a low reflectivity preventing their radar detection. By way of a simple and realistic model, simu- lations of radar observations through warm precipitating targets are thus presented in order to quantify cloud attenuation. Simulations concern an airborne radar oriented downward and observing precipitation at four frequencies: 3, 10, 35, and 94 GHz. Two cases are first considered: a convective cell (vigorous cumulus congestus plus rain) and a stratiform one (nimbostratus plus drizzle) superimposed on the previous one. Other simulations are then performed on different types of cumulus (congestus, mediocris, and hu- milis) with various thicknesses characterized, in a microphysical sense, by their maximum liquid water content. Simulations confirm the low cumulus reflectivity ranging from Ϫ45 dBZ for the weakest cumulus (i.e., the humilis one) to Ϫ5dBZ for the strongest one (i.e., the vigorous cumulus congestus). It reaches Ϫ35 dBZ for the nimbostratus cloud. On the other hand, cumulus attenuation [precisely path-integrated cloud at- tenuation (PICA)] is not negligible and, depending on the frequency, can be very strong: the higher the frequency, the stronger the PICA.