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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. -
Chapter 7.0 – Determining Wind Direction Section 7.1 Overview Of
Chapter 7.0 – Determining Wind Direction Section 7.1 Overview of Wind Direction The wind direction is a measure or indication of where the air movement originated from. The wind direction can be measured through the use of a wind sock, wind vane, or a light object attached to a pole and string (example: A ping pong ball attached to a string which is tied to a stick). Wind direction is generally reported in either Azimuth degrees or Cardinal direction. Azimuth uses a circle with the northern most position indicating 0 degrees. The Cardinal direction system gives an Azimuth degree value a name. For example, 180 degrees is South(S) and 270 degrees is West (W) (See Figure 18 - A basic compass rose). Figure 18 - A basic compass rose Section 7.2 Overview of the homemade Wind Vane The wind vane used in this design was a homemade wind vane using a miniature absolute magnetic shaft encoder. The encoder chosen for use was the MA3 produced by US Digital. The purpose for choosing this specific encoder in regards to this design was that the MA3 met four (4) critical objectives. First, the MA3 was the correct size for the application. Second, the MA3 uses an analog output of 0 volts to 5 volts with respect to the current positions (See Figure 19 – MA3 Output behaviour) Figure 19 – MA3 Output behaviour Third, the MA3 uses a 5 volt input. This was a major consideration when choosing an encoder as a 5 volt input allowed for a more simple integration. Fourth, and final, the MA3 met the requirements of being able to function in an adverse environment, having an operational temperature of -40 ºC to +125 ºC. -
NWS Unified Surface Analysis Manual
Unified Surface Analysis Manual Weather Prediction Center Ocean Prediction Center National Hurricane Center Honolulu Forecast Office November 21, 2013 Table of Contents Chapter 1: Surface Analysis – Its History at the Analysis Centers…………….3 Chapter 2: Datasets available for creation of the Unified Analysis………...…..5 Chapter 3: The Unified Surface Analysis and related features.……….……….19 Chapter 4: Creation/Merging of the Unified Surface Analysis………….……..24 Chapter 5: Bibliography………………………………………………….…….30 Appendix A: Unified Graphics Legend showing Ocean Center symbols.….…33 2 Chapter 1: Surface Analysis – Its History at the Analysis Centers 1. INTRODUCTION Since 1942, surface analyses produced by several different offices within the U.S. Weather Bureau (USWB) and the National Oceanic and Atmospheric Administration’s (NOAA’s) National Weather Service (NWS) were generally based on the Norwegian Cyclone Model (Bjerknes 1919) over land, and in recent decades, the Shapiro-Keyser Model over the mid-latitudes of the ocean. The graphic below shows a typical evolution according to both models of cyclone development. Conceptual models of cyclone evolution showing lower-tropospheric (e.g., 850-hPa) geopotential height and fronts (top), and lower-tropospheric potential temperature (bottom). (a) Norwegian cyclone model: (I) incipient frontal cyclone, (II) and (III) narrowing warm sector, (IV) occlusion; (b) Shapiro–Keyser cyclone model: (I) incipient frontal cyclone, (II) frontal fracture, (III) frontal T-bone and bent-back front, (IV) frontal T-bone and warm seclusion. Panel (b) is adapted from Shapiro and Keyser (1990) , their FIG. 10.27 ) to enhance the zonal elongation of the cyclone and fronts and to reflect the continued existence of the frontal T-bone in stage IV. -
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. -
Impact of Cloud Analysis on Numerical Weather Prediction in the Galician Region of Spain
Impact of Cloud Analysis on Numerical Weather Prediction in the Galician Region of Spain M. J. SOUTO, C. F. BALSEIRO AND V. P…REZ-MU—UZURI Group of Nonlinear Physics, Faculty of Physics, University of Santiago de Compostela, Santiago de Compostela, Spain Ming Xue University of Oklahoma, School of Meteorology, and CAPS Oklahoma, USA Keith BREWSTER Center for Analysis and Prediction of Storms, Oklahoma, USA April, 2001 Revised December, 2001 Corresponding author address: Dra. M. J. Souto, Group of Nonlinear Physics Faculty of Physics, University of Santiago de Compostela E-15706, Santiago de Compostela, Spain e-mail: [email protected] ABSTRACT The Advanced Regional Prediction System (ARPS) is applied to operational numerical weather forecast in Galicia, northwest Spain. A 72-hour forecast at a 10-km horizontal resolution is produced dta for the region. Located on the northwest coast of Spain and influenced by the Atlantic weather systems, Galicia has a high percentage (almost 50%) of rainy days per year. For these reasons, the precipitation processes and the initialization of moisture and cloud fields are very important. Even though the ARPS model has a sophisticated data analysis system (ADAS) that includes a 3D cloud analysis package, due to operational constraint, our current forecast starts from 12-hour forecast of the NCEP AVN model. Still, procedures from the ADAS cloud analysis are being used to construct the cloud fields based on AVN data, and then applied to initialize the microphysical variables in ARPS. Comparisons of the ARPS predictions with local observations show that ARPS can predict quite well both the daily total precipitation and its spatial distribution. -
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. -
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. -
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. -
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. -
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. -
Emissions and Effects Susan M
SMOKE PLUMES: EMISSIONS AND EFFECTS Susan M. O’Neill, Shawn Urbanski, Scott Goodrick, and Narasimhan K. Larkin moke can manifest itself as a towering plume rising against Smoke can affect public health, Sthe clear blue sky—or as a vast transportation safety, and the health swath of thick haze, with fingers that settle into valleys overnight. It and well-being of firefighters. comes in many forms and colors, from fluffy and white to thick and black. Smoke plumes can rise high 1). Overall, dry air is made up of 78 affect visibility, degrading vistas and into the atmosphere and travel percent nitrogen (N2), 21 percent creating transportation hazards. great distances across oceans and oxygen (O2), and about 1 percent Smoke combined with high humid continents. Or smoke can remain trace gases (about 0.9 percent ity can produce whiteout conditions close to the ground and follow fine- argon (Ar) and 0.1 percent other known as superfog (Achtemaier scale topographical features. trace gases). Water vapor in the 2002). air ranges from almost nothing to Along the way, the gases and par 5 percent. Yet the trace amount Wildland Fire Emissions ticles in the plumes react physically of smoke in the air can have sig If fire were 100-percent efficient, and chemically, creating additional nificant impacts, such as making the only products released would particulate matter and gases such the air smell bad; limiting vis be carbon dioxide, water vapor, as ozone (O3). If atmospheric water ibility; and affecting the health of and heat. However, the combus content is high, smoke plumes can vegetation and animals, including tion of wildland fuels is never also create “superfog” (Achtemeier humans. -
An Objective Determination of Probability of Fog Formation *
158 BULLETIN AMERICAN METEOROLOGICAL SOCIETY An Objective Determination of Probability of Fog Formation * LOUIS BERKOFSKY Atmospheric Analysis Laboratory, Base Directorate for Geophysical Research, Air Force Cambridge Research Laboratories, 230 Albany St., Cambridge, Mass. ABSTRACT A method of approach to objective fog forecasting, based on the use of probability charts is suggested. Given two parameters, say wind speed and dew-point depression, at sunset as ordinate and abscissa of a chart, occurrences and non-occurrences of fog following sunset are plotted as functions of these parameters. Isolines of relative frequency are drawn, giving a probability chart. Two more such charts, using four additional parameters, are constructed, and a total probability of fog occurrence following sunset is computed as a linear function of the three individual probabilities. This result is used as a criterion for the forecast. Time of formation equations are developed, to be applied in the event a fog proves to be likely. I. INTRODUCTION sive—during which period the fog was mainly non-frontal. Only those cases were considered in ANY objective methods of forecasting which precipitation was not occurring at time of fog deal primarily with determination of fog formation, in order to simplify the investiga- time of formation. The determination M tion.1 of likelihood of formation is largely subjective. If it is decided subjectively that a fog must be II. THE PARAMETERS forecast, the objective time graphs are then en- No so-called objective method is truly objective, tered. Such graphs must of necessity consider due to the fact that it is necessary for the investi- only cases of occurrence, and therefore should gator to select certain parameters.