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Synthesis and Assessment Product 1.3
CCSP 1.3 April 2, 2008 1 2 3 U.S. Climate Change Science Program 4 5 6 Synthesis and Assessment Product 1.3 7 8 Reanalysis of Historical Climate 9 Data for Key Atmospheric Features: 10 Implications for Attribution of 11 Causes of Observed Change 12 13 14 15 Lead Agency: 16 National Oceanic and Atmospheric Administration 17 18 Contributing Agencies: 19 Department of Energy 20 National Aeronautics and Space Administration 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 Note to Reviewers: This report has not yet undergone rigorous copy-editing 36 and will do so prior to layout for publication Do Not Cite or Quote 1 of 332 Public Review Draft CCSP 1.3 April 2, 2008 1 Table of Contents 2 3 ABSTRACT .................................................................................................................................................. 5 4 PREFACE..................................................................................................................................................... 7 5 P.1 OVERVIEW OF REPORT............................................................................................................... 7 6 P.2 PRIMARY REPORT FOCI.............................................................................................................. 9 7 P.2.1 Reanalysis of Historical Climate Data for Key Atmospheric Features................................... 10 8 P.2.2 Attribution of the Causes of Climate Variations and Trends Over North America ............... 11 9 P.3 TREATMENT OF UNCERTAINTY............................................................................................ -
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. -
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. -
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. -
Autonomous Quadcopter Based Solution for Spraying of Fertilizers and Pesticides Using Neural Networks for Flight Stabilization
Autonomous Quadcopter Based Solution for Spraying of Fertilizers and Pesticides using Neural Networks for Flight Stabilization Submitted in partial fulfillment of the requirements of the degree of Bachelor of Engineering by Siddhant Gangapurwala (60001120012) Project Guide: Prof. Pavankumar Borra Electronics Engineering Dwarkadas J. Sanghvi College of Engineering Mumbai University 2015-2016 i Certificate This is to certify that the project entitled “Autonomous Quadcopter Based Solution for Spraying of Fertilizers and Pesticides using Neural Networks for Flight Stabilization” is a bonafide work of “Siddhant Gangapurwala” (60001120012) submitted to the University of Mumbai in partial fulfillment of the requirement for the award of the degree of “Bachelor Of Engineering” in Electronics Engineering. Internal Guide Internal Examiner Prof. Pavankumar Borra Head of Department External Examiner Prof. Prasad Joshi Principal Dr. Hari Vasudevan ii Project Report Approval for B. E. This project report entitled Autonomous Quadcopter Based Solution for Spraying of Fertilizers and Pesticides using Neural Networks for Flight Stabilization by Siddhant Gangapurwala is approved for the degree of Electronics Engineering. Examiners 1.--------------------------------------------- 2.--------------------------------------------- Date: Place: iii Declaration I declare that this written submission represents my ideas in my own words and where others' ideas or words have been included, I have adequately cited and referenced the original sources. I also declare that I have adhered to all principles of academic honesty and integrity and have not misrepresented or fabricated or falsified any idea/data/fact/source in my submission. I understand that any violation of the above will be cause for disciplinary action by the Institute and can also evoke penal action from the sources which have thus not been properly cited or from whom proper permission has not been taken when needed. -
The Role of Wind in Rainwater Catchment and Fog Collection by Robert S
Water International (1994) Vol 19, pp 70-76 The Role of Wind in Rainwater Catchment and Fog Collection by Robert S. Schemenauer, M. IWRA Environment Canada 4905 Dufferin Street DOWNSVIEW ON M3H 5T4 CANADA and Pilar Cereceda Institute of Geography Pontifical Catholic University of Chile Casilia 306, Correo 22 SANTIAGO CHILE ABSTRACT Water droplets in the atmosphere typically range in size from the smallest cloud or fog droplets, with diameters of lmm, to the largest raindrops with diameters of about 5 mm. The fog droplets have negligible fall velocities and their trajectories are determined by the speed and direction of the wind. Raindrops have fall velocities (2 to 9 m/s) comparable to typical wind speeds and, therefore, will fall at an angle, except in unusual circumstances where the wind speed is zero. An understanding of the fall angle of rain and drizzle drops can lead to a better orientation and design of rooftop rainwater catchment systems and, in certain environments, to the collection of substantially more water. This leads to five recommendations: first, that as the wind speed increases or the drop sizes decrease, the vertical component of rainwater catchment systems should be enhanced; second, wind direction, wind speed, and rainfall rate information should be used to optimize the orientation of the house and the shape and slope of the root third, that use should be made of upwind walls of houses as rain collectors,' fourth, that in foggy environments rainwater catchment systems be modified to collect fog water as well,' and fifth, that tree plantations in arid regions should be designed in a manner that optimizes their role as fog collectors. -
Ocean Feature Analysis Using Automated Detection and Classification of Sea-Surface Temperature Front Signatures in RADARSAT-2 Images by Chris T
Ocean Feature Analysis Using Automated Detection and Classification of Sea-Surface Temperature Front Signatures in RADARSAT-2 Images BY CHRIS T. JONES, TODD D. SIKORA, PARIS W. VACHON, AND JOSEPH R. BUCKLEY he Royal Canadian Navy’s Meteorology and fronts that are signatures of SST fronts. RADARSAT-2 Oceanography Centre (MetOc) Halifax currently images therefore represent a potentially significant T produces a semiweekly ocean-feature analysis additional data source for OFA production. (OFA) to provide the fleet with the location of major water mass boundaries in the Western North At- SST FRONT SIGNATURES IN SAR. SAR im- lantic Ocean, such as the Gulf Stream North Wall ages reveal spatial variations in small-scale ocean (GSNW). OFAs are generated using temperature surface roughness, forced primarily by near-surface measurements from a network of buoys, temperature winds and modulated by longer waves, currents, profile measurements from ships, satellite sea surface and surfactants. A positive buoyancy flux within temperature (SST) images from the Advanced Very the marine atmospheric boundary layer (MABL) on High Resolution Radiometer (AVHRR), and SST the warm side of an SST front can force convective climatology. An automated analysis integrates all of processes that transport momentum from the upper the data using geophysical interpolation techniques MABL toward the surface. Furthermore, the atmo- (kriging) to fill in gaps, such as those due to cloud spheric temperature gradient often present across an cover. Cloud cover is prevalent in the region, with SST front can produce a corresponding cross-front clear-sky percentage varying from about 50% in late atmospheric pressure gradient. These processes can summer to less than 5% in winter (according to the lead to an enhancement in near-surface wind speed International Satellite Cloud Climatology Project), on the warm side of the front, with concomitant hampering OFA production. -
Copyright© 2007 the STORM Project Upper Air Observations Level 2 Student Sheets
Upper Air Observations Level 2 Teacher’s Pages http://www.uni.edu/storm/level2 Objectives: Students will study air patterns at three different levels of the troposphere.. National Science Education Standards : As a result of activities in grades 5-8, all students should develop an understanding of: abilities necessary to do scientific inquiry, properties and changes of properties in matter, understandings about science and technology, and structure of the earth system. As a result of their activities in grades 9-12, all students should develop an understanding of Energy in the earth System: The sun is the major external source of energy; Heating of earth’s surface and atmosphere by the sun drives convection within the atmosphere and oceans, producing winds and ocean currents; Global climate is determinied by energy transfer from the sun at and near the earth’s surface. This energy transfer is influenced by dynamic processes such as cloud cover, the earth’s rotation, and static conditions such as the position of mountain ranges and oceans. Engage : 1. What do you remember about plotting weather data on surface weather maps? 2. Do you remember how wind direction and wind speed are represented? 3. Where do you plot temperature and dew point temperature? Copyright© 2007 The STORM Project Explore: Have students look at the 500 mb Station Plot. Ask them to state the information that is given by the map and plots. Explain: The data plotted on the U.S.A. map is data collected above earth’s surface by radiosondes or “weather balloons.” These balloons are released twice a day from selected National Weather Service Offices around the United States, and the world. -
Summary of METROMEX, Volume 2: Causes of Precipitation Anomalies
BULLETIN 63 Summary of METROMEX, Volume 2: Causes of Precipitation Anomalies by B. ACKERMAN, S. A. CHANGNON. JR., ©. DZURISIN, D. L GATZ, R. C. GROSH, S. D. HILBERS, F. A. HUFF, J. W. MANSELL, H. T. OCHS. Ill, M. E. PEDEN, P. T. SCHICKEDANZ, R. G. SEMONIN, and J. L. VOGEL Title: Summary of METROMEX, Volume 2: Causes of Precipitation Anomalies. Abstract: This is the last of two volumes presenting the major findings from the 1971-1975 METROMEX field operations at St. Louis. It presents climatological analyses of surface weath- er conditions, but primarily concerns those factors helping to describe the causes of the anom- alies. Volume 1 covers spatial and temporal distributions of surface precipitation and severe storms, and impacts of urban-produced precipitation anomalies. Volume 2 describes relevant surface weather conditions including temperature, moisture, and winds, all influenced by the urban area. Urban influences extend well into the boundary layer affecting aerosol distribu- tions, winds, and the thermodynamic structure, and often reach cloud base levels. Studies of modification of cloud and rain processes show urban-industrial influences on 1) initiation, local distribution, and characteristics of summer cumulus clouds; and 2) development of precipita- tion in clouds and the resulting surface rain entities. Reference: Ackerman, B., S. A. Changnon, Jr., G. Dzurisin, D. L. Gatz, R. C. Grosh, S. D. Hilberg. F. A. Huff, J. W. Mansell, H. T. Ochs, HI, M. E. Peden, P. T. Schickedanz, R. G. Semohin, and J. L. Vogel. Summary of METROMEX, Volume 2: Causes of Precipitation Anomalies, Illinois State Water Survey, Urbana, Bulletin 63, 1978. -
Report No. R 91-2, Design of Physical Cloud Seeding Experiments for The
DESIGN OF PHYSICAL CLOUD SEEDING EXPERIMENTS FOR THE ARIZONA ATMOSPHERIC MODIFICATION RESEARCH PROGRAM FINAL REPORT PREPARED FOR ARIZONA DEPARTMENT OF WATER RESOURCES UNDER IGA-89-6189-450-0125 FEBRUARY 1991 U.S. DEPARTMENT OF THE INTERIOR Bureau of Reclamation Denver Off ice Research and Laboratory Services Division Water Augmentation Group 7-2090 (4-81) Bureau of Reclamation TECHNICAL REPORT STANDARD TITLE PAGE February 1991 DESIGN OF PHYSICAL CLOUD SEEDING 6. PERFORMING ORGANIZATION CODE EXPERIMENTS FOR THE ARIZONA ATMOSPHERIC MODIFICATION RESEARCH PROGRAM 8. PERFORMING ORGANIZATION REPORT NO. Arlin B. Super, Jon G. Medina, and Jack T. McPartland 9. PERFORMING ORGANIZATION NAME AND ADDRESS 10. WORK UNIT NO. Bureau of Reclamation Denver Office 11. CONTRACT OR GRANT NO. Denver CO 80225 13. TYPE OF REPORT AND PERIOD COVERED 12. SPONSORING AGENCY NAME AND ADDRESS Same ( 14. SPONSORING AGENCY CODE 15. SUPPLEMENTARY NOTES Microfiche and hard copy available at the Denver Office, Denver, Colorado. 16. ABSTRACT Cloud seeding experiments have been designed by the Bureau of Reclamation for winter orographic cloud systems over the Mogollon Rim of Arizona. The experiments are intended to test whether key physical processes proceed as hypothesized during both ground-based and aircraft seeding with silver iodide. The experiments are also intended to document each significant link in the chain of physical events following release of seeding material up to, and including, snowfall at the ground at a small research area about 60 km south-southeast of Flagstaff. The physical experimentation should lead to a substantially improved understanding of winter seeding potential in clouds over Arizona's higher terrain.