Predicting the Weather by Sharon Fabian
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Climate Data Sources in Connecticut Patricia A
University of Connecticut OpenCommons@UConn College of Agriculture, Health and Natural Storrs Agricultural Experiment Station Resources 1-1982 Climate Data Sources in Connecticut Patricia A. Palley University of Connecticut - Storrs David R. Miller University of Connecticut - Storrs Follow this and additional works at: https://opencommons.uconn.edu/saes Part of the Climate Commons, Environmental Monitoring Commons, and the Meteorology Commons Recommended Citation Palley, Patricia A. and Miller, David R., "Climate Data Sources in Connecticut" (1982). Storrs Agricultural Experiment Station. 80. https://opencommons.uconn.edu/saes/80 Storrs Agricultural Experiment Station Bulletin 461 Climate Data Sources in Connecticut By Patricia A Palley, Assistant State Climatologist and David R. Miller, Associate Professor of Natural Resources JAN 1982 STORRS AGRICULTURAL EXPERI MENT STATION COLLEGE OF AGRICULTURE AND NATURAL RESOURCES THE UNIVERSITY OF CONNECTICUT, STORRS. CT 06268 TABLE OF CONTENTS Int roduction . 1 Types of Weather Stations 2 Parameters Measur ed 3 Summary of Climate Observations in Connecticu t 5 How to Use the Maps and Site Reports • • • • • 7 Table I Record Lengths, by parameter, of all weather stat ions i n Conn., state summary 8 Table II Record Lengths , by parame ter, of all weather stations in Conn . , by county . 9 Table III Record Lengths, by paramet er, of Nationa l Wea ther Service operat ed and coope rative stations in Conn., by county . • . 10 Table IV Re cord Lengths , by par ameter , of pr ivate data collect ors i n Conn ., by county . • . 11 Figure I Distribution of stations t hat measure rainfall . 12 Figur e II Distribution of stations t hat meas ure s nowf all . -
Handbook for the Meteorological Observation
Handbook for the Meteorological Observation Koninklijk Nederlands Meteorologisch Instituut KNMI September 2000 Contents Chapter 1. Measuring stations – General 1 Introduction 2 Variables 3 Type of observing station 4 Conditions relating to the layout of the measurement site of a weather station 5 Spatial distribution of the measuring stations and the representativeness of the observations 6 Procedures relating to the inspection, maintenance and management of a weather station 6.1 Inspection 6.2 Technical maintenance 6.3 Supervision 1. MEASURING STATIONS - GENERAL 1.1 Introduction The mission statement of the KNMI1 (from their brochure “KNMI, more than just weather” of August 1999) reads: “The KNMI is an agency with approximately five hundred employees that is part of the Ministry of Transport, Public Works and Water Management. From its position as the national knowledge centre for weather, climate and seismology, the institute is targeted entirely at fulfilling public tasks: weather forecasts and warnings monitoring the climate acquisition and supply of meteorological data and infrastructure model development aviation meteorology scientific research public information services” The tasks mentioned above are split across a number of sectors within the KNMI. One of the sectors is WM (Waarnemingen en Modellen = Observations and Models). This particular sector’s mission has been formulated as follows: “The Observations and Models sector (WM) is responsible for making the basic meteorological data available and for provision of climatological information to both internal and external users. The basic meteorological data, both current and historical, contains: - observations made by measurement, visual observation, using remote sensing or acquired from external sources - output from atmospheric and oceanographic models, acquired by processing the sector’s own models of acquired from institutes abroad. -
Lesson 6 Weather: Collecting Data GRADE 3-5 BACKGROUND Meteorologists Collect Weather Data Daily to Make Forecasts
Lesson 6 Weather: Collecting Data GRADE 3-5 BACKGROUND Meteorologists collect weather data daily to make forecasts. With the aid of high altitude weather balloons, weather equipment and gauges, satellites, and computers, accurate daily forecasts can be made. Collecting weather data in just one location and making a forecast requires a great deal of skill. Since air travels from one location to another, it is helpful to know what the approaching weather will be. In this investigation, the students will collect data for two weeks. At this time they will start seeing patterns in each of the areas. They can predict what the weather will be like the next day and for the next few days. They will also write if their predictions were correct from the previous day. Collecting the data for this lesson can be done instead of collecting the data separately in lesson 1-4. BASIC LESSON Objective(s) Students will be able to… Collect data for two weeks and use the information to detect patterns and predict weather around their location. State Science Content Standard(s) Standard 4. Students through the inquiry process, demonstrate knowledge of the composition, structures, processes and interactions of Earth's systems and other objects in space. A. 4.4 Observe and describe the water cycle and the local weather and demonstrate how weather conditions are measured. A. Record temperature B. Display data on a graph C. Interpret trends and patterns of data D. Identify and explain the use of a barometer, weather vane, and anemometer E. Collect, record and chart data from each weather instrument F. -
Soaring Weather
Chapter 16 SOARING WEATHER While horse racing may be the "Sport of Kings," of the craft depends on the weather and the skill soaring may be considered the "King of Sports." of the pilot. Forward thrust comes from gliding Soaring bears the relationship to flying that sailing downward relative to the air the same as thrust bears to power boating. Soaring has made notable is developed in a power-off glide by a conven contributions to meteorology. For example, soar tional aircraft. Therefore, to gain or maintain ing pilots have probed thunderstorms and moun altitude, the soaring pilot must rely on upward tain waves with findings that have made flying motion of the air. safer for all pilots. However, soaring is primarily To a sailplane pilot, "lift" means the rate of recreational. climb he can achieve in an up-current, while "sink" A sailplane must have auxiliary power to be denotes his rate of descent in a downdraft or in come airborne such as a winch, a ground tow, or neutral air. "Zero sink" means that upward cur a tow by a powered aircraft. Once the sailcraft is rents are just strong enough to enable him to hold airborne and the tow cable released, performance altitude but not to climb. Sailplanes are highly 171 r efficient machines; a sink rate of a mere 2 feet per second. There is no point in trying to soar until second provides an airspeed of about 40 knots, and weather conditions favor vertical speeds greater a sink rate of 6 feet per second gives an airspeed than the minimum sink rate of the aircraft. -
Rigid Wing Sailboats: a State of the Art Survey Manuel F
Ocean Engineering 187 (2019) 106150 Contents lists available at ScienceDirect Ocean Engineering journal homepage: www.elsevier.com/locate/oceaneng Review Rigid wing sailboats: A state of the art survey Manuel F. Silva a,b,<, Anna Friebe c, Benedita Malheiro a,b, Pedro Guedes a, Paulo Ferreira a, Matias Waller c a Rua Dr. António Bernardino de Almeida, 431, 4249-015 Porto, Portugal b INESC TEC, Campus da Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal c Åland University of Applied Sciences, Neptunigatan 17, AX-22111 Mariehamn, Åland, Finland ARTICLEINFO ABSTRACT Keywords: The design, development and deployment of autonomous sustainable ocean platforms for exploration and Autonomous sailboat monitoring can provide researchers and decision makers with valuable data, trends and insights into the Wingsail largest ecosystem on Earth. Although these outcomes can be used to prevent, identify and minimise problems, Robotics as well as to drive multiple market sectors, the design and development of such platforms remains an open challenge. In particular, energy efficiency, control and robustness are major concerns with implications for autonomy and sustainability. Rigid wingsails allow autonomous boats to navigate with increased autonomy due to lower power consumption and increased robustness as a result of mechanically simpler control compared to traditional sails. These platforms are currently the subject of deep interest, but several important research problems remain open. In order to foster dissemination and identify future trends, this paper presents a survey of the latest developments in the field of rigid wing sailboats, describing the main academic and commercial solutions both in terms of hardware and software. -
Retrieving Wind Speed and Direction from WSR-88D Single- Doppler Measurements of Thunderstorm Winds
6th American Association for Wind Engineering Workshop (online) Clemson University, Clemson, SC, USA May 12-14, 2021 Retrieving wind speed and direction from WSR-88D single- Doppler measurements of thunderstorm winds Ibrahim Ibrahima,*, Gregory A. Kopp b, David M. L. Sills c a Northern Tornadoes Project (Western University), London, ON, Canada, [email protected] b Northern Tornadoes Project (Western University), London, ON, Canada, [email protected] c Northern Tornadoes Project (Western University), London, ON, Canada, [email protected] ABSTRACT: The evaluation of wind load values is dependent on the historical wind speeds recorded by field measurements, mainly anemometers. Such one-point measurement procedure is sufficient for dealing with structures of smaller scales. Nevertheless, special structures like long-span bridges and electricity transmission lines need a more comprehensive procedure, especially for regions prone to extreme wind events of limited size like thunderstorms. These events are less probable to be picked up by one-point measurements. Accordingly, the current study explores the use of Doppler weather radar measurements to estimate wind speeds associated with thunderstorm weather systems. The study estimates localized wind speeds down to the scale of hundreds of meters by implementing an algorithm to separate different weather systems within each radar scan and resolving them separately. The estimated peak event wind speeds are compared with ASOS anemometer measurements for comparison. Keywords: Doppler Radar, Wind Retrieval, NEXRAD, Non-synoptic Wind 1. BACKGROUND Providing loading guidelines for the design of safe structures is one of the main concerns of Wind Engineering. Extreme value analysis is performed on a set of historical wind speed anemometer recordings. -
Meteorological Monitoring Guidance for Regulatory Modeling Applications
United States Office of Air Quality EPA-454/R-99-005 Environmental Protection Planning and Standards Agency Research Triangle Park, NC 27711 February 2000 Air EPA Meteorological Monitoring Guidance for Regulatory Modeling Applications Air Q of ua ice li ff ty O Clean Air Pla s nn ard in nd g and Sta EPA-454/R-99-005 Meteorological Monitoring Guidance for Regulatory Modeling Applications U.S. ENVIRONMENTAL PROTECTION AGENCY Office of Air and Radiation Office of Air Quality Planning and Standards Research Triangle Park, NC 27711 February 2000 DISCLAIMER This report has been reviewed by the U.S. Environmental Protection Agency (EPA) and has been approved for publication as an EPA document. Any mention of trade names or commercial products does not constitute endorsement or recommendation for use. ii PREFACE This document updates the June 1987 EPA document, "On-Site Meteorological Program Guidance for Regulatory Modeling Applications", EPA-450/4-87-013. The most significant change is the replacement of Section 9 with more comprehensive guidance on remote sensing and conventional radiosonde technologies for use in upper-air meteorological monitoring; previously this section provided guidance on the use of sodar technology. The other significant change is the addition to Section 8 (Quality Assurance) of material covering data validation for upper-air meteorological measurements. These changes incorporate guidance developed during the workshop on upper-air meteorological monitoring in July 1998. Editorial changes include the deletion of the “on-site” qualifier from the title and its selective replacement in the text with “site specific”; this provides consistency with recent changes in Appendix W to 40 CFR Part 51. -
Reducing the Risk Runway Excursions
MAIN MENU Report . Reducing the Risk of Runway Excursions: Report of the Runway Safety Initiative . Appendixes Reducing the Risk of RUNWAY EXCURSIONS REPORT OF THE RUNWAY SAFETY INITIATIVE This information is not intended to supersede operators’ or manufacturers’ policies, practices or requirements, and is not intended to supersede government regulations. Reducing the Risk of RUNWAY EXCURSIONS REPORT OF THE RUNWAY SAFETY INITIATIVE Contents 1. Introduction 4 1.1 Definitions 4 2. Background 5 3. Data 6 Reducing the Risk of 4.0 Common Risk Factors inRunway Excursion Events 9 RUNWAY EXCURSIONS 4.1 Flight Operations 9 4.1.1 Takeoff Excursion Risk Factors 9 REPORT OF THE RUNWAY SAFETY INITIATIVE 4.1.2 Landing Excursion Risk Factors 9 4.2 Air Traffic Management 9 TABLE OF CONTENTS 4.3 Airport 9 1. Introduction .......................................................................................................................................................................... 4 1.1 Definitions ................................................................................................................................................................. 4 4.4 Aircraft Manufacturers 9 2. Background .......................................................................................................................................................................... 5 4.5 Regulators 9 3. Data ................................................................................................................................................................................... -
Anemometer Lesson
Anemometers: Measuring the Wind Objectives Students will: • Learn about anemometers. • Learn about engineering design. • Learn how engineering can help solve society's challenges. • Learn about teamwork and problem solving. Suggested Grade Level 3rd – 12th Subject Areas Science, Math, Engineering Timeline 45 minutes Standards • 3-PS2-1. Plan and conduct an investigation to provide evidence of the effects of balanced and unbalanced forces on the motion of an object. • 4-PS3-1. Use evidence to construct an explanation relating the speed of an object to the energy of that object. • 3-5-ETS1-1. Define a simple design problem reflecting a need or a want that includes specified criteria for success and constraints on materials, time, or cost. • 3-5-ETS1-2. Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem. • 3-5-ETS1-3. Plan and carry out fair tests in which variables are controlled and failure points are considered to identify aspects of a model or prototype that can be improved. • MS-ETS1-2. Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem. • HS-PS3-3. Design, build, and refine a device that works within given constraints to convert one form of energy into another form of energy. 21st Century Essential Skills • Critical thinking/Problem solving • Creativity/imagination • Collaboration and Teamwork Revised July/2019 Confidential and Proprietary to the Space Foundation • Carrying out investigations • Obtaining/evaluating/communicating ideas Background Weather patterns are a natural phenomenon that have been observed since the beginning of time. -
Product Catalog About Company
PRODUCT CATALOG ABOUT COMPANY JSC RADAR MMS Joint-stock company Radar mms is one of the global leaders in the field of developing special- and civil-purpose radio- electronic systems and suites, precision instruments, and specialized software, as well as is considered as a recognizable system integrator of avionics. JSC Radar mms was awarded the Gratitude of the President of the Russian Federation on three occasions (in 2010, 2015 and 2019) “For a great contribution to the development of the radio-electronic industry, the strengthening of the country's defense capability and labor achievements”. FOCUS AREAS І Radar Systems І Aircraft-Based Systems І Robotic Systems І Internet of Things І Specialized Software І Sensors and Measurement Systems І High-Speed Vessels and Sea-Based Systems І Services and Servicing FULL-CYCLE PRODUCTION Radar mms implements a complete cycle of research and production activities: research, development, production, testing, sales, and engineering support during the operation and maintenance. The company has its own testing facilities including the simulation and testing facility, marine testing facility, automated motion simulation system and mobile experimental laboratory, ground-based test benches and hardware-in-the-loop simulation system. The test site fully meets the needs of the company in the development, testing and production of special-purpose and civilian products. PERSONNEL QUALIFICATION Currently, the company employs more than 2500 qualified specialists, including State Prize winners, Professors, Doctors and Candidates of Science, and Associate Professors. Over 500 employees were awarded orders and medals of the Russian Federation. The company operates a number of influential schools of scientists and designers in the country and abroad. -
Ront November-Ddecember, 2002 National Weather Service Central Region Volume 1 Number 6
The ront November-DDecember, 2002 National Weather Service Central Region Volume 1 Number 6 Technology at work for your safety In this issue: Conceived and deployed as stand alone systems for airports, weather sensors and radar systems now share information to enhance safety and efficiency in the National Airspace System. ITWS - Integrated Jim Roets, Lead Forecaster help the flow of air traffic and promote air Terminal Aviation Weather Center safety. One of those modernization com- Weather System The National Airspace System ponents is the Automated Surface (NAS) is a complex integration of many Observing System (ASOS). technologies. Besides the aircraft that fly There are two direct uses for ASOS, you and your family to vacation resorts, and the FAA’s Automated Weather or business meetings, many other tech- Observing System (AWOS). They are: nologies are at work - unseen, but critical Integrated Terminal Weather System MIAWS - Medium to aviation safety. The Federal Aviation (ITWS), and the Medium Intensity Intensity Airport Administration (FAA) is undertaking a Airport Weather System (MIAWS). The Weather System modernization of the NAS. One of the technologies that make up ITWS, shown modernization efforts is seeking to blend in Figure 1, expand the reach of the many weather and aircraft sensors, sur- observing site from the terminal to the en veillance radar, and computer model route environment. Their primary focus weather output into presentations that will is to reduce delays caused by weather, Gust fronts - Evolution and Detection Weather radar displays NWS - Doppler FAA - ITWS ASOS - It’s not just for airport observations anymore Mission Statement To enhance aviation safety by Source: MIT Lincoln Labs increasing the pilots’ knowledge of weather systems and processes Figure 1. -
Manual for Real-Time Quality Control of Wind Data
Direction Manual for Real-Time Quality Control of Wind Data A Guide to Quality Control and Quality Assurance for Coastal and Oceanic Wind Observations Version 1.0 October 2014 Document Validation U.S. IOOS Program Office Validation 10/17/2014 Zdenka S. Willis, Director, U.S. IOOS Program Office Date QARTOD Project Manager Validation 10/17/2014 Joseph Swaykos, NOAA National Data Buoy Center Date QARTOD Board of Advisors Validation 10/17/2014 Julianna O. Thomas, Southern California Coastal Ocean Observing System Date ii Table of Contents Document Validation ...................................................................................... ii Table of Contents ........................................................................................... iii List of Figures ................................................................................................. iv List of Tables ................................................................................................... iv Revision History ............................................................................................... v Endorsement Disclaimer ................................................................................ vi Acknowledgements ....................................................................................... vii Acronyms and Abbreviations ....................................................................... viii Definitions of Selected Terms ........................................................................ ix 1.0 Background and