Lecture 18 Condensation And

Total Page:16

File Type:pdf, Size:1020Kb

Lecture 18 Condensation And Lecture 18 Condensation and Fog Cloud Formation by Condensation • Mixed into air are myriad submicron particles (sulfuric acid droplets, soot, dust, salt), many of which are attracted to water molecules. As RH rises above 80%, these particles bind more water and swell, producing haze. • When the air becomes supersaturated, the largest of these particles act as condensation nucleii onto which water condenses as cloud droplets. • Typical cloud droplets have diameters of 2-20 microns (diameter of a hair is about 100 microns). • There are usually 50-1000 droplets per cm3, with highest droplet concentra- tions in polluted continental regions. Why can you often see your breath? Condensation can occur when warm moist (but unsaturated air) mixes with cold dry (and unsat- urated) air (also contrails, chimney steam, steam fog). Temp. RH SVP VP cold air (A) 0 C 20% 6 mb 1 mb(clear) B breath (B) 36 C 80% 63 mb 55 mb(clear) C 50% cold (C)18 C 140% 20 mb 28 mb(fog) 90% cold (D) 4 C 90% 8 mb 6 mb(clear) D A • The 50-50 mix visibly condenses into a short- lived cloud, but evaporates as breath is EOM 4.5 diluted. Fog Fog: cloud at ground level Four main types: radiation fog, advection fog, upslope fog, steam fog. TWB p. 68 • Forms due to nighttime longwave cooling of surface air below dew point. • Promoted by clear, calm, long nights. Common in Seattle in winter. • Daytime warming of ground and air ‘burns off’ fog when temperature exceeds dew point. • Fog may lift into a low cloud layer when it thickens or dissipates. • In mountain valleys during winter, radiation fog can thicken and persist for days (e.g. Salt Lake City) Advection and Upslope Fog TWB p. 68 • Warm humid air is pushed over a colder surface, chilling it below its dep point. • Common in Midwest in winter; also common over the cold water off the W Coast and off New England during the summer. TWB p. 68 • Humid air is lifted up mountains (Cascades), cooling it to the dew point. Steam Fog (Sea Smoke) TWB p. 68 • Air next to water surface becomes warm, nearly saturated. • Cold air blows above and mixes with warm moist surface air. • Mixing produces condensation just like you see your breath. • Convection patterns the fog into plumes. .Steam fog produced by geysers EOM 4.16 Frequency of foggy days Cape Disappointment (2556 hours heavy fog/year) EOM 4.17.
Recommended publications
  • How to Read a METAR
    How to read a METAR A METAR will look something like this: PHNY 202124Z AUTO 27009KT 1 1/4SM BR BKN016 BKN038 22/21 A3018 RMK AO2 Let’s decipher what each bit of the METAR means. PHNY The first part of the METAR is the airport identifier for the facility which produced the METAR. In this case, this is Lanai Airport in Hawaii. 202124Z Next comes the time and date of issue. The first two digits correspond to the date of the month, and the last 4 digits correspond to the time of issue (in Zulu time). In the example, the METAR was issued on the 20th of the month at 21:24 Zulu time. AUTO This part indicates that the METAR was generated automatically. 27009KT Next comes the wind information. The first 3 digits represent the heading from which the wind is blowing, and the next digits indicate speed in knots. In this case, the wind is coming from a heading of 270 relative to magnetic north, and the speed is 9 knots. Some other wind-related notation you might see: • 27009G15KT – the G indicates gusting. In this case, the wind comes from 270 at 9 knots, and gusts to 15 knots. • VRB09KT – the VRB indicates the wind direction is variable; the wind speed is 9 knots. 1 1/4SM This section of the METAR indicates visibility in statute miles. In this case, visibility is 1 ¼ statute miles. Note that the range is typically limited to 10 statute miles, so a report with 10 statute mile visibility could well indicate a situation with more than 10 statute miles of visibility.
    [Show full text]
  • Heat Advection Processes Leading to El Niño Events As
    1 2 Title: 3 Heat advection processes leading to El Niño events as depicted by an ensemble of ocean 4 assimilation products 5 6 Authors: 7 Joan Ballester (1,2), Simona Bordoni (1), Desislava Petrova (2), Xavier Rodó (2,3) 8 9 Affiliations: 10 (1) California Institute of Technology (Caltech), Pasadena, California, United States 11 (2) Institut Català de Ciències del Clima (IC3), Barcelona, Catalonia, Spain 12 (3) Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Catalonia, Spain 13 14 Corresponding author: 15 Joan Ballester 16 California Institute of Technology (Caltech) 17 1200 E California Blvd, Pasadena, CA 91125, US 18 Mail Code: 131-24 19 Tel.: +1-626-395-8703 20 Email: [email protected] 21 22 Manuscript 23 Submitted to Journal of Climate 24 1 25 26 Abstract 27 28 The oscillatory nature of El Niño-Southern Oscillation results from an intricate 29 superposition of near-equilibrium balances and out-of-phase disequilibrium processes between the 30 ocean and the atmosphere. Several authors have shown that the heat content stored in the equatorial 31 subsurface is key to provide memory to the system. Here we use an ensemble of ocean assimilation 32 products to describe how heat advection is maintained in each dataset during the different stages of 33 the oscillation. 34 Our analyses show that vertical advection due to surface horizontal convergence and 35 downwelling motion is the only process contributing significantly to the initial subsurface warming 36 in the western equatorial Pacific. This initial warming is found to be advected to the central Pacific 37 by the equatorial undercurrent, which, together with the equatorward advection associated with 38 anomalies in both the meridional temperature gradient and circulation at the level of the 39 thermocline, explains the heat buildup in the central Pacific during the recharge phase.
    [Show full text]
  • Wildland Fire Incident Management Field Guide
    A publication of the National Wildfire Coordinating Group Wildland Fire Incident Management Field Guide PMS 210 April 2013 Wildland Fire Incident Management Field Guide April 2013 PMS 210 Sponsored for NWCG publication by the NWCG Operations and Workforce Development Committee. Comments regarding the content of this product should be directed to the Operations and Workforce Development Committee, contact and other information about this committee is located on the NWCG Web site at http://www.nwcg.gov. Questions and comments may also be emailed to [email protected]. This product is available electronically from the NWCG Web site at http://www.nwcg.gov. Previous editions: this product replaces PMS 410-1, Fireline Handbook, NWCG Handbook 3, March 2004. The National Wildfire Coordinating Group (NWCG) has approved the contents of this product for the guidance of its member agencies and is not responsible for the interpretation or use of this information by anyone else. NWCG’s intent is to specifically identify all copyrighted content used in NWCG products. All other NWCG information is in the public domain. Use of public domain information, including copying, is permitted. Use of NWCG information within another document is permitted, if NWCG information is accurately credited to the NWCG. The NWCG logo may not be used except on NWCG-authorized information. “National Wildfire Coordinating Group,” “NWCG,” and the NWCG logo are trademarks of the National Wildfire Coordinating Group. The use of trade, firm, or corporation names or trademarks in this product is for the information and convenience of the reader and does not constitute an endorsement by the National Wildfire Coordinating Group or its member agencies of any product or service to the exclusion of others that may be suitable.
    [Show full text]
  • Forecasting of Thunderstorms in the Pre-Monsoon Season at Delhi
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Publications of the IAS Fellows Meteorol. Appl. 6, 29–38 (1999) Forecasting of thunderstorms in the pre-monsoon season at Delhi N Ravi1, U C Mohanty1, O P Madan1 and R K Paliwal2 1Centre for Atmospheric Sciences, Indian Institute of Technology, New Delhi 110 016, India 2National Centre for Medium Range Weather Forecasting, Mausam Bhavan Complex, Lodi Road, New Delhi 110 003, India Accurate prediction of thunderstorms during the pre-monsoon season (April–June) in India is essential for human activities such as construction, aviation and agriculture. Two objective forecasting methods are developed using data from May and June for 1985–89. The developed methods are tested with independent data sets of the recent years, namely May and June for the years 1994 and 1995. The first method is based on a graphical technique. Fifteen different types of stability index are used in combinations of different pairs. It is found that Showalter index versus Totals total index and Jefferson’s modified index versus George index can cluster cases of occurrence of thunderstorms mixed with a few cases of non-occurrence along a zone. The zones are demarcated and further sub-zones are created for clarity. The probability of occurrence/non-occurrence of thunderstorms in each sub-zone is then calculated. The second approach uses a multiple regression method to predict the occurrence/non- occurrence of thunderstorms. A total of 274 potential predictors are subjected to stepwise screening and nine significant predictors are selected to formulate a multiple regression equation that gives the forecast in probabilistic terms.
    [Show full text]
  • Contribution of Horizontal Advection to the Interannual Variability of Sea Surface Temperature in the North Atlantic
    964 JOURNAL OF PHYSICAL OCEANOGRAPHY VOLUME 33 Contribution of Horizontal Advection to the Interannual Variability of Sea Surface Temperature in the North Atlantic NATHALIE VERBRUGGE Laboratoire d'Etudes en GeÂophysique et OceÂanographie Spatiales, Toulouse, France GILLES REVERDIN Laboratoire d'Etudes en GeÂophysique et OceÂanographie Spatiales, Toulouse, and Laboratoire d'OceÂanographie Dynamique et de Climatologie, Paris, France (Manuscript received 9 February 2002, in ®nal form 15 October 2002) ABSTRACT The interannual variability of sea surface temperature (SST) in the North Atlantic is investigated from October 1992 to October 1999 with special emphasis on analyzing the contribution of horizontal advection to this variability. Horizontal advection is estimated using anomalous geostrophic currents derived from the TOPEX/ Poseidon sea level data, average currents estimated from drifter data, scatterometer-derived Ekman drifts, and monthly SST data. These estimates have large uncertainties, in particular related to the sea level product, the average currents, and the mixed-layer depth, that contribute signi®cantly to the nonclosure of the surface tem- perature budget. The large scales in winter temperature change over a year present similarities with the heat ¯uxes integrated over the same periods. However, the amplitudes do not match well. Furthermore, in the western subtropical gyre (south of the Gulf Stream) and in the subpolar regions, the time evolutions of both ®elds are different. In both regions, advection is found to contribute signi®cantly to the interannual winter temperature variability. In the subpolar gyre, advection often contributes more to the SST variability than the heat ¯uxes. It seems in particular responsible for a low-frequency trend from 1994 to 1998 (increase in the subpolar gyre and decrease in the western subtropical gyre), which is not found in the heat ¯uxes and in the North Atlantic Oscillation index after 1996.
    [Show full text]
  • An Operational Marine Fog Prediction Model
    U. S. DEPARTMENT OF COMMERCE NATIONAL OCEANIC AND ATMOSPHERIC ADMINISTRATION NATIONAL WEATHER SERVICE NATIONAL METEOROLOGICAL CENTER OFFICE NOTE 371 An Operational Marine Fog Prediction Model JORDAN C. ALPERTt DAVID M. FEIT* JUNE 1990 THIS IS AN UNREVIEWED MANUSCRIPT, PRIMARILY INTENDED FOR INFORMAL EXCHANGE OF INFORMATION AMONG NWS STAFF MEMBERS t Global Weather and Climate Modeling Branch * Ocean Products Center OPC contribution No. 45 An Operational Marine Fog Prediction Model Jordan C. Alpert and David M. Feit NOAA/NMC, Development Division Washington D.C. 20233 Abstract A major concern to the National Weather Service marine operations is the problem of forecasting advection fogs at sea. Currently fog forecasts are issued using statistical methods only over the open ocean domain but no such system is available for coastal and offshore areas. We propose to use a partially diagnostic model, designed specifically for this problem, which relies on output fields from the global operational Medium Range Forecast (MRF) model. The boundary and initial conditions of moisture and temperature, as well as the MRF's horizontal wind predictions are interpolated to the fog model grid over an arbitrarily selected coastal and offshore ocean region. The moisture fields are used to prescribe a droplet size distribution and compute liquid water content, neither of which is accounted for in the global model. Fog development is governed by the droplet size distribution and advection and exchange of heat and moisture. A simple parameterization is used to describe the coefficients of evaporation and sensible heat exchange at the surface. Depletion of the fog is based on droplet fallout of the three categories of assumed droplet size.
    [Show full text]
  • 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.
    [Show full text]
  • Wind Enhances Differential Air Advection in Surface Snow at Sub- Meter Scales Stephen A
    Wind enhances differential air advection in surface snow at sub- meter scales Stephen A. Drake1, John S. Selker2, Chad W. Higgins2 1College of Earth, Ocean and Atmospheric Sciences, Oregon State University, Corvallis, 97333, USA 5 2Biological and Ecological Engineering, Oregon State University, Corvallis, 97333, USA Correspondence to: Stephen A. Drake ([email protected]) Abstract. Atmospheric pressure gradients and pressure fluctuations drive within-snow air movement that enhances gas mobility through interstitial pore space. The magnitude of this enhancement in relation to snow microstructure properties cannot be well predicted with current methods. In a set of field experiments we injected a dilute mixture of 1% carbon 10 monoxide and nitrogen gas of known volume into the topmost layer of a snowpack and, using a distributed array of thin film sensors, measured plume evolution as a function of wind forcing. We found enhanced dispersion in the streamwise direction and also along low resistance pathways in the presence of wind. These results suggest that atmospheric constituents contained in snow can be anisotropically mixed depending on the wind environment and snow structure, having implications for surface snow reaction rates and interpretation of firn and ice cores. 15 1 Introduction Atmospheric pressure changes over a broad range of temporal and spatial scales stimulate air movement in near-surface snow pore space (Clarke et al., 1987) that redistribute radiatively and chemically active trace species (Waddington et al., 1996) such as O3 (Albert et al., 2002), OH (Domine and Shepson, 2002) and NO (Pinzer et al., 2010) thereby influencing their reaction rates. Pore space in snow is saturated within a few millimeters of depth in the snowpack that does not have 20 large air spaces (Neumann et al., 2009) so atmospheric pressure changes induce interstitial air movement that enhances snow metamorphism (Calonne et al., 2015; Ebner et al., 2015) and augments vapor exchange between the snowpack and atmosphere.
    [Show full text]
  • B-100063 Cloud-Seeding Activities Carried out in the United States
    WASHINGXJN. O.C. 205.48 13-100063 Schweikcr: LM096545 This is in response to your request of September 22, .2-o 1971, for certain background informatio-n on cloud-seeding activities carried out -...-in _-..T---*the .Unitc.b_S~.~-~,.under programs supported-by the Federal agencies. Pursuant to the specific xz2- questions contained in your request, we directed our:review toward developing information-----a-=v-~ .,- , L-..-”on- .-cloud-seeding ,__ ._ programs sup- ported by Federal agencies, on the cost- ‘and purposes of such progrys, on the impact of cloud seeding on precipitation and severe storms, and on the types of chemicals used for seeding and their effect on the--environment. We also ob- tained dafa cdncerning the extent of cloud seeding conducted over Pennsylvania. Our review was conducted at various Federal departments ’ and agencies headquartered in Washington, D.C., and at cer- tain of their field offices in Colorado and Montana. We in- terviewed cognizant agency officials and reviewed appropriate records and files of the agencies. In addition, we reviewed pertinent reports and documentation of the Federal Council for Science and Technology, the National Academy of Sciences, and the National Water Commission. BACKGROUND AND COST DATA Several Federal agencies support weather modification programs which involve cloud-seeding activities. Major re- search programs include precipitation modification, fog and cloud modification, hail suppression, and lightning and hur- ricane modification. Statistics compiled by the Interdepartmental Committee for Atmospheric Sciences showed that costs for federally spon- sored weather modification rograms during fiscal years 1959 through 1970 totaled about %‘74 million; estimated costs for fiscal years 1971 and 1972 totaled about $35 million.
    [Show full text]
  • ESCI 241 – Meteorology Lesson 8 - Thermodynamic Diagrams Dr
    ESCI 241 – Meteorology Lesson 8 - Thermodynamic Diagrams Dr. DeCaria References: The Use of the Skew T, Log P Diagram in Analysis And Forecasting, AWS/TR-79/006, U.S. Air Force, Revised 1979 An Introduction to Theoretical Meteorology, Hess GENERAL Thermodynamic diagrams are used to display lines representing the major processes that air can undergo (adiabatic, isobaric, isothermal, pseudo- adiabatic). The simplest thermodynamic diagram would be to use pressure as the y-axis and temperature as the x-axis. The ideal thermodynamic diagram has three important properties The area enclosed by a cyclic process on the diagram is proportional to the work done in that process As many of the process lines as possible be straight (or nearly straight) A large angle (90 ideally) between adiabats and isotherms There are several different types of thermodynamic diagrams, all meeting the above criteria to a greater or lesser extent. They are the Stuve diagram, the emagram, the tephigram, and the skew-T/log p diagram The most commonly used diagram in the U.S. is the Skew-T/log p diagram. The Skew-T diagram is the diagram of choice among the National Weather Service and the military. The Stuve diagram is also sometimes used, though area on a Stuve diagram is not proportional to work. SKEW-T/LOG P DIAGRAM Uses natural log of pressure as the vertical coordinate Since pressure decreases exponentially with height, this means that the vertical coordinate roughly represents altitude. Isotherms, instead of being vertical, are slanted upward to the right. Adiabats are lines that are semi-straight, and slope upward to the left.
    [Show full text]
  • Thunderstorm Predictors and Their Forecast Skill for the Netherlands
    Atmospheric Research 67–68 (2003) 273–299 www.elsevier.com/locate/atmos Thunderstorm predictors and their forecast skill for the Netherlands Alwin J. Haklander, Aarnout Van Delden* Institute for Marine and Atmospheric Sciences, Utrecht University, Princetonplein 5, 3584 CC Utrecht, The Netherlands Accepted 28 March 2003 Abstract Thirty-two different thunderstorm predictors, derived from rawinsonde observations, have been evaluated specifically for the Netherlands. For each of the 32 thunderstorm predictors, forecast skill as a function of the chosen threshold was determined, based on at least 10280 six-hourly rawinsonde observations at De Bilt. Thunderstorm activity was monitored by the Arrival Time Difference (ATD) lightning detection and location system from the UK Met Office. Confidence was gained in the ATD data by comparing them with hourly surface observations (thunder heard) for 4015 six-hour time intervals and six different detection radii around De Bilt. As an aside, we found that a detection radius of 20 km (the distance up to which thunder can usually be heard) yielded an optimum in the correlation between the observation and the detection of lightning activity. The dichotomous predictand was chosen to be any detected lightning activity within 100 km from De Bilt during the 6 h following a rawinsonde observation. According to the comparison of ATD data with present weather data, 95.5% of the observed thunderstorms at De Bilt were also detected within 100 km. By using verification parameters such as the True Skill Statistic (TSS) and the Heidke Skill Score (Heidke), optimal thresholds and relative forecast skill for all thunderstorm predictors have been evaluated.
    [Show full text]
  • Microclimates
    Microclimates National Meteorological Library and Archive Fact sheet 14 — Microclimates The National Meteorological Library and Archive Many people have an interest in the weather and the processes that cause it and the National Meteorological Library and Archive is a treasure trove of meteorological and related information. We are open to everyone The Library and Archive are vital for maintaining the public memory of the weather, storing meteorological records and facilitating learning, just go to www.metoffice.gov.uk/research/library-and-archive Our collections We hold a world class collection on meteorology which includes a comprehensive library of published books, journals and reports as well as a unique archive of original meteorological data, weather charts, private weather diaries and much more. These records provide access to historical data and give a snapshot of life and the weather both before and after the establishment of the Met Office in 1854 when official records began. Online catalogue Details of all our holdings are catalogued and online public access to this is available at https://library. metoffice.gov.uk. From here you will also be able to directly access any of our electronic content. Factsheets The Met Office produces a range of factsheets which are available through our web pages www.metoffice.gov.uk/research/library-and-archive/publications/factsheets Digital Library and Archive The Met Office Digital Library and Archive provides access to a growing collection of born digital content as well as copies of some our older publications and unique archive treasures. Just go to https://digital. nmla.metoffice.gov.uk/archive.
    [Show full text]