Event-Based Climatology and Typology of Fog in the New York City Region
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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. -
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. -
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. -
Downloaded 09/29/21 03:20 PM UTC 740 WEATHER and FORECASTING VOLUME 35
APRIL 2020 P I T H A N I E T A L . 739 Real-Time Forecast of Dense Fog Events over Delhi: The Performance of the WRF Model during the WiFEX Field Campaign a,b a c d b PRAKASH PITHANI, SACHIN D. GHUDE, R. K. JENAMANI, MRINAL BISWAS, C. V. NAIDU, a,e a,e a a SREYASHI DEBNATH, RACHANA KULKARNI, NARENDRA G. DHANGAR, CHINMAY JENA, a a a a ANUPAM HAZRA, R. PHANI, P. MUKHOPADHYAY, THARA PRABHAKARAN, a,f g RAVI S. NANJUNDIAH, AND M. RAJEEVAN a Indian Institute of Tropical Meteorology, Pune, India b Department of Meteorology and Oceanography, Andhra University, Visakhapatnam, India c India Meteorological Department, New ATC Building, IGI Airport, New Delhi, India d National Center for Atmospheric Research, Boulder, Colorado e Savitribai Phule Pune University, Pune, India f Indian Institute of Science, Bangalore, India g Ministry of Earth Sciences, New Delhi, India (Manuscript received 6 June 2019, in final form 29 January 2020) ABSTRACT A Winter Fog Experiment (WiFEX) was conducted to study the genesis of fog formation between winters 2016–17 and 2017–18 at Indira Gandhi International Airport (IGIA), Delhi, India. To support the WiFEX field campaign, the Weather Research and Forecasting (WRF) Model was used to produce real-time forecasts at 2-km horizontal grid spacing. This paper summarizes the performance of the model forecasts for 43 very dense fog episodes (visibility , 200 m) and preliminary evaluation of the model against the observations. Similarly, near-surface liquid water content (LWC) from models and continuous visibility observations are used as a metric for model evaluation. -
2A.1 FOG and THUNDERSTORM FORECASTING in MELBOURNE, AUSTRALIA Harvey Stern* Bureau of Meteorology, Melbourne, Vic., Australia
2A.1 FOG AND THUNDERSTORM FORECASTING IN MELBOURNE, AUSTRALIA Harvey Stern* Bureau of Meteorology, Melbourne, Vic., Australia 1. INTRODUCTION Although a lift in the CSI did not occur in every single instance when the verification data was analysed with A twelve-month "real-time" trial of a methodology all lead times taken separately, a lift occurred in most utilised to generate Day-1 to Day-7 forecasts, by instances. The exceptions were in the cases of Day-1 mechanically integrating judgmental (human) and and Day-2 forecasts of fog, where the CSIs were automated predictions, was conducted between 20 substantially below corresponding CSIs for the human August 2005 and 19 August 2006. After 365 days, the (official) forecasts. trial revealed that, overall, the various components (rainfall amount, sensible weather, minimum These forecasts are worthy of comment. The inability temperature, and maximum temperature) of (of the combining process) to improve on the Day-1 Melbourne forecasts so generated explained 41.3% and Day-2 official forecasts of fog may very well be a variance of the weather, 7.9% more variance than the consequence of the effort that the forecasting 33.4% variance explained by the human (official) personnel of the Victorian Regional Office (and others) forecasts alone (Stern, 2007a, 2007b). have invested over the years into short term fog and low cloud forecasting at Melbourne Airport (Goodhead, The trial continues and the purpose of the current 1978; Keith, 1978; Stern and Parkyn, 1998, 1999, paper is to report on its performance at predicting fog 2000, 2001; Newham, 2004, Weymouth et al, 2007; and thunderstorms between August 2005 and June Newham et al, 2007), most recently using a Bayesian 2007, a period of almost two years. -
FOG-82: a Cooperative Field Study and James E
Michael B. Meyer, G. Garland Lala, FOG-82: A Cooperative Field Study and James E. Jiusto1 Atmospheric Sciences Research Center of Radiation Fog State University of New York at Albany Albany, NY 12222 Abstract The Cloud Physics Section of the Atmospheric Sciences Research Center-State University of New York at Albany conducted a coop- erative field study (FOG-82) during the autumn of 1982 as part of an ongoing radiation-fog research program. A computer-controlled data-acquisition system consisting of sophisticated soil, surface, and boundary-layer sensors, as well as contemporary aerosol and drop- let probes was developed. These data are being used to address a var- iety of critical problems related to radiation-fog evolution. Scientists from 10 universities and research laboratories partici- pated in portions of FOG-82. Research objectives included studies of fog mesoscale meteorology, radiation studies, low-level water budget, vertical fog structure, fog supersaturation, condensation nuclei, and fog-water chemistry, as well as radiation-fog life cycles. A comprehensive description of the FOG-82 program and objectives is presented. FIG . 1. Monthly heavy-fog (visibility, V less than or equal to 1/4 1. Introduction mile) [solid line] and heavy-fog-duration [dashed line] frequency for Albany, New York, 1970-79. The Cloud Physics Section of the Atmospheric Sciences Re- search Center-State University of New York at Albany (ASRC-SUNY) has been involved in fog research for many years, concentrating on the understanding of fog-evolution processes through field measurements and numerical fog modeling. Additional work has been done in fog (synoptic) climatology. -
The Nature of Lightning Fires, by E. V
Proceedings: 7th Tall Timbers Fire Ecology Conference 1967 The Nature of Lightning Fires E. V. KOMAREK, SR. Tall Timbers Research Station, Tallahassee, Florida THE PREVALENCE and behavior of lightning fires are of interest to those of us who study the mosaic of plants and animals and attempt to interpret the ecological conditions existing before changes made by man. We at Tall Timbers are particularly interested in those natural processes and principles that underlie the occurrence, abundance, and welfare of the plants and animals that surround us. We are vitally concerned with the ecology of man and his environment. Lightning, and lightning fires assumed a position of great impact on ecosystems before man came to this continent some 20,000 years ago, more or less. As I have discussed many phases of this "fire mosaic" in several previous papers (1962, 1963, 1964, 1965, 1966), let me simply state the obvious: Man did not invent fire or forest fires. They were a part of the natural environment long before the coming of man. My personal interest as a fire ecologist is to develop an under standing of the many ramifications of fire in nature; its effects on the habitat and on the plants and animals themselves as well. At the same time, however, I wish to point out that as an ecologist I am all too aware that man himself is a creature of his environment -his fire environment if you will. Thus, if man is to be successful in this environment with its great potentiality for fires he must understand the processes that control such an environment. -
Best Practices for Road Weather Management
Best Practices for Road Weather Management Version 3.0 June 2012 Acknowledgments While many individuals deserve recognition, the authors want to particularly acknowledge all the staff at the participating state departments of transportation who provided materials and were generous with their time and expertise. Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the Federal Highway Administration. Notice This document is disseminated under the sponsorship of the U.S. Department of Transportation in the interest of information exchange. The U.S. Government assumes no liability for the use of the information contained in this document. The U.S. Government does not endorse products or manufacturers. Trademarks or manufacturers’ names appear in this report only because they are considered essential to the objective of the document. Quality Assurance Statement The Federal Highway Administration (FHWA) provides high-quality information to serve Government, industry, and the public in a manner that promotes public understanding. Standards and policies are used to ensure and maximize the quality, objectivity, utility, and integrity of its information. FHWA periodically reviews quality issues and adjusts its programs and processes to ensure continuous quality improvement. ii Technical Report Documentation Page 1. Report No. 2. Government Accession No. 3. Recipient's Catalog No. FHWA-HOP-12-046 4. Title and Subtitle 5. Report Date June 2012 Best Practices for Road Weather Management, Version 3.0 6. Performing Organization Code 7. Co-Author(s) 8. Performing Organization Report No. Ray Murphy, FHWA; Ryan Swick, Booz Allen Hamilton; Gabe Guevara, FHWA 9.