Lesson 6 Weather: Collecting Data GRADE 3-5 BACKGROUND Meteorologists Collect Weather Data Daily to Make Forecasts
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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. -
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. -
Radar Derived Rainfall and Rain Gauge Measurements at SRS
Radar Derived Rainfall and Rain Gauge Measurements at SRS A. M. Rivera-Giboyeaux February 2020 SRNL-STI-2019-00644, Revision 0 SRNL-STI-2019-00644 Revision 0 DISCLAIMER This work was prepared under an agreement with and funded by the U.S. Government. Neither the U.S. Government or its employees, nor any of its contractors, subcontractors or their employees, makes any express or implied: 1. warranty or assumes any legal liability for the accuracy, completeness, or for the use or results of such use of any information, product, or process disclosed; or 2. representation that such use or results of such use would not infringe privately owned rights; or 3. endorsement or recommendation of any specifically identified commercial product, process, or service. Any views and opinions of authors expressed in this work do not necessarily state or reflect those of the United States Government, or its contractors, or subcontractors. Printed in the United States of America Prepared for U.S. Department of Energy ii SRNL-STI-2019-00644 Revision 0 Keywords: Rainfall, Radar, Rain Gauge, Measurements Retention: Permanent Radar Derived Rainfall and Rain Gauge Measurements at SRS A. M. Rivera-Giboyeaux February 2020 Prepared for the U.S. Department of Energy under contract number DE-AC09-08SR22470. iii SRNL-STI-2019-00644 Revision 0 REVIEWS AND APPROVALS AUTHORS: ______________________________________________________________________________ A. M. Rivera-Giboyeaux, Atmospheric Technologies Group, SRNL Date TECHNICAL REVIEW: ______________________________________________________________________________ S. Weinbeck, Atmospheric Technologies Group, SRNL. Reviewed per E7 2.60 Date APPROVAL: ______________________________________________________________________________ C.H. Hunter, Manager Date Atmospheric Technologies Group iv SRNL-STI-2019-00644 Revision 0 EXECUTIVE SUMMARY Over the years rainfall data for the Savannah River Site has been obtained from ground level measurements made by rain gauges. -
COOP Observer Manual (1).Pdf
National Weather Service WFO Mount Holly, NJ Cooperative Observation Program Observer Manual Updated: October 3, 2020 Table of Contents 1. Taking Observations a. Rainfall/Liquid Equivalent Precipitation i. Rainfall 1. Standard 8” Rain Gauge 2. Plastic 4” Rain Gauge ii. Snowfall/Frozen Precipitation Liquid Equivalent 1. Standard 8” Rain Gauge 2. Plastic 4” Rain Gauge b. Snowfall c. Snow Depth d. Maximum and Minimum Temperatures (if equipped) i. Digital Maximum/Minimum Sensor with Nimbus Display ii. Cotton Region Shelter with Liquid-in-Glass Thermometers 2. Reporting Observations a. WxCoder b. Things to Remember 1 1. Taking Observations Measuring precipitation is one of the most basic and useful forms of weather observations. It is important to note that observations will vary based on the type of precipitation that is expected to occur. If any frozen precipitation is forecast, it is important to remove the funnel top and inner tube from your gauge before precipitation begins. This will prevent damage to the equipment and ensure the most accurate measurements possible. Note that the inner tube of the rain gauge only holds a certain amount of precipitation until it begins to overflow into the outer can. If rain falls, but is not measurable inside of the gauge, this should be reported as a Trace (T) of rainfall. This includes sprinkles/drizzle and occurrences where there is some liquid in the inner tube, but it is not measurable on the measuring stick. During the cold season (generally November through early April), we recommend that observers leave their snowboards outside at all times, if possible. -
METAR/SPECI Reporting Changes for Snow Pellets (GS) and Hail (GR)
U.S. DEPARTMENT OF TRANSPORTATION N JO 7900.11 NOTICE FEDERAL AVIATION ADMINISTRATION Effective Date: Air Traffic Organization Policy September 1, 2018 Cancellation Date: September 1, 2019 SUBJ: METAR/SPECI Reporting Changes for Snow Pellets (GS) and Hail (GR) 1. Purpose of this Notice. This Notice coincides with a revision to the Federal Meteorological Handbook (FMH-1) that was effective on November 30, 2017. The Office of the Federal Coordinator for Meteorological Services and Supporting Research (OFCM) approved the changes to the reporting requirements of small hail and snow pellets in weather observations (METAR/SPECI) to assist commercial operators in deicing operations. 2. Audience. This order applies to all FAA and FAA-contract weather observers, Limited Aviation Weather Reporting Stations (LAWRS) personnel, and Non-Federal Observation (NF- OBS) Program personnel. 3. Where can I Find This Notice? This order is available on the FAA Web site at http://faa.gov/air_traffic/publications and http://employees.faa.gov/tools_resources/orders_notices/. 4. Cancellation. This notice will be cancelled with the publication of the next available change to FAA Order 7900.5D. 5. Procedures/Responsibilities/Action. This Notice amends the following paragraphs and tables in FAA Order 7900.5. Table 3-2: Remarks Section of Observation Remarks Section of Observation Element Paragraph Brief Description METAR SPECI Volcanic eruptions must be reported whenever first noted. Pre-eruption activity must not be reported. (Use Volcanic Eruptions 14.20 X X PIREPs to report pre-eruption activity.) Encode volcanic eruptions as described in Chapter 14. Distribution: Electronic 1 Initiated By: AJT-2 09/01/2018 N JO 7900.11 Remarks Section of Observation Element Paragraph Brief Description METAR SPECI Whenever tornadoes, funnel clouds, or waterspouts begin, are in progress, end, or disappear from sight, the event should be described directly after the "RMK" element. -
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. -
Response to Comments the Authors Thank the Reviewers for Their
Response to comments The authors thank the reviewers for their constructive comments, which provide the basis to improve the quality of the manuscript and dataset. We address all points in detail and reply to all comments here below. We also updated SCDNA from V1 to V1.1 on Zenodo based on the reviewer’s comments. The modifications include adding station source flag, adding original files for location merged stations, and adding a quality control procedure based on the final SCDNA. SCDNA estimates are generally consistent between the two versions, with the total number of stations reduced from 27280 to 27276. Reviewer 1 General comment The manuscript presents and advertises a very interesting dataset of temperature and precipitation observation collected over several years in North America. The work is certainly well suited for the readership of ESSD and it is overall very important for the meteorological and climatological community. Furthermore, creation of quality controlled databases is an important contribution to the scientific community in the age of data science. I have a few points to consider before publication, which I recommend, listed below. 1. Measurement instruments: from my background, I am much closer to the instruments themselves (and their peculiarities and issues), as hardware tools. What I missed here was a description of the stations and their instruments. Questions like: which are the instruments deployed in the stations? How is precipitation measured (tipping buckets? buckets? Weighing gauges? Note for example that some instruments may have biases when measuring snowfall while others may not)? How is it temperature measured? How is this different from station to station in your database? Response: We have added the descriptions of measurement instruments in both the manuscript and dataset documentation. -
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 ................................................................................................................................................................................... -
Observer Bias in Daily Precipitation Measurements at United States Cooperative Network Stations
Observer Bias in Daily Precipitation Measurements at United States Cooperative Network Stations BY CHRISTOPHER DALY, WAYNE P. G IBSON, GEORGE H. TAYLOR, MATTHEW K. DOGGETT, AND JOSEPH I. SMITH The vast majority of United States cooperative observers introduce subjective biases into their measurements of daily precipitation. he Cooperative Observer Program (COOP) was the U.S. Historical Climate Network (USHCN). The established in the 1890s to make daily meteo- USHCN provides much of the country’s official data T rological observations across the United States, on climate trends and variability over the past century primarily for agricultural purposes. The COOP (Karl et al. 1990; Easterling et al. 1999; Williams et al. network has since become the backbone of tempera- 2004). ture and precipitation data that characterize means, Precipitation data (rain and melted snow) are trends, and extremes in U.S. climate. COOP data recorded manually every day by over 12,000 COOP are routinely used in a wide variety of applications, observers across the United States. The measuring such as agricultural planning, environmental impact equipment is very simple, and has not changed statements, road and dam safety regulations, building appreciably since the network was established. codes, forensic meteorology, water supply forecasting, Precipitation data from most COOP sites are read weather forecast model initialization, climate map- from a calibrated stick placed into a narrow tube ping, flood hazard assessment, and many others. A within an 8-in.-diameter rain gauge, much like subset of COOP stations with relatively complete, the oil level is measured in an automobile (Fig. 1). long periods of record, and few station moves forms The National Weather Service COOP Observing Handbook (NOAA–NWS 1989) describes the procedure for measuring precipitation from 8-in. -
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. -
Rainfall Estimation from X-Band Polarimetric Radar And
Meteorology Senior Theses Undergraduate Theses and Capstone Projects 12-2016 Rainfall Estimation from X-band Polarimetric Radar and Disdrometer Observation Measurements Compared to NEXRAD Measurements: An Application of Rainfall Estimates Brady E. Newkirk Iowa State University, [email protected] Follow this and additional works at: https://lib.dr.iastate.edu/mteor_stheses Part of the Meteorology Commons Recommended Citation Newkirk, Brady E., "Rainfall Estimation from X-band Polarimetric Radar and Disdrometer Observation Measurements Compared to NEXRAD Measurements: An Application of Rainfall Estimates" (2016). Meteorology Senior Theses. 6. https://lib.dr.iastate.edu/mteor_stheses/6 This Dissertation/Thesis is brought to you for free and open access by the Undergraduate Theses and Capstone Projects at Iowa State University Digital Repository. It has been accepted for inclusion in Meteorology Senior Theses by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. Rainfall Estimation from X-band Polarimetric Radar and Disdrometer Observation Measurements Compared to NEXRAD Measurements: An Application of Rainfall Estimates Brady E. Newkirk Department of Geological and Atmospheric Sciences, Iowa State University, Ames, Iowa James Aanstoos – Mentor Department of Geological and Atmospheric Sciences, Iowa State University, Ames, Iowa ABSTRACT This paper presents the comparison of rainfall estimation from X-band dual-polarization radar observations and NEXRAD observations to that of rain gauge observations. Data collected from three separate studies are used for X-band and rain gauge observations. NEXRAD observations were collected through the NCEI archived data base. Focus on the Kdp parameter for X-band radars was important for higher accuracy of rainfall estimations.