Ront November-Ddecember, 2002 National Weather Service Central Region Volume 1 Number 6
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A Real-Time System to Estimate Weather Conditions at High Resolution
12.1 A Real-Time System to Estimate Weather Conditions at High Resolution Peter P. Neilley1 Weather Services International, Inc. Andover, MA 01810 And Bruce L. Rose The Weather Channel Atlanta, GA the earth’s surface (the so-called current 1. Introduction1 conditions). b) We do not necessarily produce weather The purpose of this paper is to describe an observations on a regular grid, but at an operational system used to estimate current irregular set of arbitrary locations or points weather conditions at arbitrary places in real- that are relevant to the consumers of the time. The system, known as High Resolution information. Assimilation of Data (or HiRAD), is designed to generate synthetic weather observations in a c) In addition to producing quantitative manner equivalent in scope, timeliness and observational elements (e.g. temperature, quality to a arbitrarily dense physical observing pressure and wind speed) our system network. Our approach is, first, to collect produces common, descriptive terminology information from a variety of relevant sources of the sensible weather such as including gridded analyses, traditional surface “Thundershowers”, “Patchy Fog”, and weather reports, radar, satellite and lightning “Snow Flurries”. observations. Then we continuously synthesize these data into weather condition estimates at d) We do not strive to produce a state of the prescribed locations. An operational system atmosphere optimized for fidelity with based on this approach has been built and is Numerical Weather Prediction (NWP) commercially deployed in the United States. models. Instead, the system is optimized to produce the most accurate estimate of the In most regards, our approach is analogous to observed state at the surface that can be modern data assimilation techniques. -
Geometric Characteristics of Clouds from Ceilometer Measurements and Radiosounding Methods
GEOMETRIC CHARACTERISTICS OF CLOUDS FROM CEILOMETER MEASUREMENTS AND RADIOSOUNDING METHODS Montserrat Costa Surós Dipòsit legal: Gi. 1888-2014 http://hdl.handle.net/10803/284084 http://creativecommons.org/licenses/by/4.0/deed.ca Aquesta obra està subjecta a una llicència Creative Commons Reconeixement Esta obra está bajo una licencia Creative Commons Reconocimiento This work is licensed under a Creative Commons Attribution licence GEOMETRIC CHARACTERISTICS OF CLOUDS FROM CEILOMETER MEASUREMENTS AND RADIOSOUNDING METHODS DOCTORAL THESIS Montserrat Costa Surós 2014 DOCTORAL THESIS GEOMETRIC CHARACTERISTICS OF CLOUDS FROM CEILOMETER MEASUREMENTS AND RADIOSOUNDING METHODS Montserrat Costa Surós 2014 Doctoral Programme in Experimental Sciences and Sustainability Supervisors: Josep Calbó Angrill José Abel González Gutiérrez Thesis submitted for the degree of Doctor of Philosophy by the University of Girona El Dr. Josep Calbó Angrill i el Dr. José Abel González Gutiérrez, professors titulars del Departament de Física de la Universitat de Girona, CERTIFIQUEN: Que aquest treball, titulat “Geometric characteristics of clouds from ceilometer measurements and radiosounding methods”, que presenta la Montserrat Costa Surós per a l’obtenció del títol de doctora, ha estat realitzat sota la seva direcció. I, perquè així consti i tingui els efectes oportuns, signen aquest document. Dr. Josep Calbó Angrill Dr. José Abel González Gutiérrez Girona, 29 de juliol de 2014. Un esforç total és una victòria completa M. Ghandi Acknowledgments First and the most important I would like to thank my supervisors Dr. Josep Calbó and Dr. Josep- Abel González for giving me the opportunity to begin my research career with them, which has led to this doctoral thesis, and for their guidance and support during these years. -
AMOFSG/10-Sod 19/6/13
AMOFSG/10-SoD 19/6/13 AERODROME METEOROLOGICAL OBSERVATION AND FORECAST STUDY GROUP (AMOFSG) TENTH MEETING Montréal, 17 to 19 June 2013 SUMMARY OF DISCUSSIONS 1. HISTORICAL 1.1 The tenth meeting of the Aerodrome Meteorological Observation and Forecast Study Group (AMOFSG) was held at the Headquarters of the International Civil Aviation Organization (ICAO) in Montréal, Canada, 17 to 19 June 2013. 1.2 The meeting was opened by Mr. Greg Brock, Chief of the Meteorology Section of the Air Navigation Bureau of ICAO, who extended a warm welcome to all the participants. Mr. Brock emphasized that this tenth meeting of the AMOFSG was likely to be the last of the group prior to the convening of an ICAO Meteorology (MET) Divisional Meeting in July 2014, to be held in part conjointly with the Fifteenth Session of the World Meteorological Organization (WMO) Commission for Aeronautical Meteorology (CAeM-XV). For this reason, Mr. Brock underlined the need for the group to work efficiently during its three days of deliberations, with a strong emphasis placed on determining whether proposals arising from each of the topics to be addressed were of sufficient maturity so as to reduce or eliminate entirely the need for significant further work and/or a meeting ahead of the MET Divisional Meeting. 1.3 The names and contact details of the participants are listed in Appendix A . Mr. Bill Maynard was elected Chairman of the meeting. The meeting was served by the Acting Secretary of the AMOFSG, Mr. Greg Brock, Chief, Meteorology Section. 1.4 The meeting considered the following agenda items: Agenda Item 1: Opening of the meeting; Agenda Item 2: Election of Chairman; Agenda Item 3: Adoption of working arrangements; Agenda Item 4: Adoption of the agenda; (41 pages) AMOFSG.10.SoD.en.docx AMOFSG/10-SoD - 2 - Agenda Item 5: Aerodrome observations; Agenda Item 6: Forecasting at the aerodrome and in the terminal area and ATIS requirements; Agenda Item 7: Deliverables; Agenda Item 8: Any other business; and Agenda Item 9: Closure of the meeting. -
Fire W Eather
Fire Weather Fire Weather Fire weather depends on a combination of wildland fuels and surface weather conditions. Dead and live fuels are assessed weekly from a satellite that determines the greenness of the landscape. Surface weather conditions are monitored every 5-minutes from the Oklahoma Mesonet. This fire weather help page highlights the surface weather ingredients to monitor before wildfires and also includes several products to monitor once wildfires are underway. Fire Weather Ingredients: WRAP While the presence of wildland fuels is one necessary component for wildfires, weather conditions ultimately dictate whether or not a day is primed for wildfires to occur. There are four key fire weather ingredients and they include: high Winds, low Relative humidity, high Air temperature, and no/minimal recent Precipitation (WRAP). High Winds are the second most critical weather ingredient for wildfires. In general, winds of 20 mph or greater 20+ mph winds increase spot fires and make for most of the containment considerably more difficult. state Low Relative humidity is the most 30-40+ critical weather ingredient for wildfires mph winds and is most common in the afternoon when the air temperature is at its warmest. When relative humidity is at or below 20% extreme fire behavior can result and spot fires become freQuent. Watch out for areas of 20% or below relative humidity and 20 mph or higher winds à 20/20 rule! Extremely low relative humidity Warm Air temperatures are another values key weather ingredient for wildfires as warming can lower the relative humidity, reduce moisture for smaller dead fuels, and bring fuels closer to their ignition point. -
Weather Charts Natural History Museum of Utah – Nature Unleashed Stefan Brems
Weather Charts Natural History Museum of Utah – Nature Unleashed Stefan Brems Across the world, many different charts of different formats are used by different governments. These charts can be anything from a simple prognostic chart, used to convey weather forecasts in a simple to read visual manner to the much more complex Wind and Temperature charts used by meteorologists and pilots to determine current and forecast weather conditions at high altitudes. When used properly these charts can be the key to accurately determining the weather conditions in the near future. This Write-Up will provide a brief introduction to several common types of charts. Prognostic Charts To the untrained eye, this chart looks like a strange piece of modern art that an angry mathematician scribbled numbers on. However, this chart is an extremely important resource when evaluating the movement of weather fronts and pressure areas. Fronts Depicted on the chart are weather front combined into four categories; Warm Fronts, Cold Fronts, Stationary Fronts and Occluded Fronts. Warm fronts are depicted by red line with red semi-circles covering one edge. The front movement is indicated by the direction the semi- circles are pointing. The front follows the Semi-Circles. Since the example above has the semi-circles on the top, the front would be indicated as moving up. Cold fronts are depicted as a blue line with blue triangles along one side. Like warm fronts, the direction in which the blue triangles are pointing dictates the direction of the cold front. Stationary fronts are frontal systems which have stalled and are no longer moving. -
Clouds, Precipitation and Their Remote Sensing Intergovernmental
25.09.12 Clouds, Precipitation and their Remote Sensing Prof. Susanne Crewell AG Integrated Remote Sensing Institute for Geophysics and Meteorology University of Cologne Susanne Crewell, Kompaktkurs, Jülich24. 25 September September 2012 2012 Intergovernmental Panel on Climate Change (IPCC) www.ipcc.ch Nobel price 2007 IPCC Fourth Assessment Report (FAR), 2007: "Warming of the climate system is unequivocal", and "Most of the observed increase in global average temperatures since the mid-20th century is very likely due to the observed increase in anthropogenic greenhouse gas concentrations". Aerosols, clouds and their interaction with climate is still the most uncertain area of climate change and require multidisciplinary coordinated research efforts. SusanneSusS sanna ne Crewell,Crewewellelll,K, Kompaktkurs,Kompakta kurs, JülichJülJüü ichchc 252 SeptemberSSeeptetetembembber 201220121 1 25.09.12 Why are clouds so complex? Cloud microphysical processes occur on small spatial scales and need to be parametrized in atmospheric models Cloud microphysics is strongly connected to other sub-grid scale processes (turbulence, radiation) Cloud droplets 0.01 mm diameter 100-1000 per cm3 Condensation nuclei Drizzle droplets 0.001 mm diameter 0.1 mm diameter 1000 per cm3 1 per cm3 Rain drops ca. 1 mm diameter, 1 drops per liter Susannesa Crewell, Kompaktkurs, Jülich 25 September 2012 Why are clouds so complex? From hydrometeors to single clouds to Einzelwolken to the global and cloud fields system Susanne Crewell, Kompaktkurs, Jülich 25 September -
Operating Instructions Present Weather Sensor Parsivel
Operating instructions Present Weather Sensor Parsivel English We reserve the right to make technical changes! Table of contents 1 Scope of delivery 5 2 Part numbers 5 3 Parsivel Factory Settings 6 4 Safety instructions 7 5 Introduction 8 5.1 Functional principle 8 5.2 Connection Options for the Parsivel 9 6 Installing the Parsivel 10 6.1 Cable Selection 10 6.2 Wiring the Parsivel 11 6.3 Grounding the Parsivel 13 6.4 Installing the Parsivel 14 7 Connecting the Parsivel to a data logger 15 7.1 Connecting the Parsivel to the LogoSens Station Manager via RS-485 interface 15 7.2 Connecting the Parsivel to a Data logger via the SDI-12 Interface 17 7.3 Connecting the Parsivel to a Data Logger with Impulse/Status Input 21 8 Connecting the Parsivel to a PC 23 8.1 Connecting the Parsivel to Interface Converter RS-485/RS-232 (Accessories) 23 8.2 Connecting the Parsivel to the ADAM-4520 Converter RS-485/RS-232 (Accessories) 25 8.3 Connecting the Parsivel to Interface Converter RS-485/USB (Accessories) 26 8.4 Connecting the Parsivel to any RS-485 Interface Converter 27 8.5 Connecting the Parsivel for configuration via the Service-Tool to a PC 27 9 Connecting the Parsivel to a Power Supply (Accessory) 29 10 Heating the Parsivel sensor heads 30 11 Operating Parsivel with a Terminal software 31 11.1 Set up communications between the Parsivel and the terminal program 31 11.2 Measured value numbers 32 11.3 Defining the formatting string 33 11.4 OTT telegram 33 11.5 Updating Parsivel Firmware 34 12 Maintenance 36 12.1 Cleaning the laser’s protective glass -
Rightsizing Project Nextgen IOC Sensor Assessment Summary AJP
RightSizing Project NextGen IOC Sensor Assessment Summary AJP-6830 1 of 64 December 1, 2009 RightSizing Project NextGen IOC Sensor Assessment Summary TABLE OF CONTENTS EXECUTIVE SUMMARY ............................................................................................................ 3 1 INTRODUCTION ................................................................................................................ 4 1.1 Context and Motivation .....................................................................................................4 1.1.1 NextGen ......................................................................................................................4 1.1.2 4D weather cube ........................................................................................................4 1.1.3 Weather observation and forecast requirements to meet NextGen goals .................5 1.2 RightSizing Project Goals ....................................................................................................6 1.2.1 Assessment of Sensor Network ..................................................................................7 1.2.2 Identification of gaps based on functional and performance requirements ..............8 1.2.3 Development of master plan to meet NextGen weather observation requirements .8 1.3 Scope of this Report (FY 2009) ...........................................................................................8 2 PROGRAM MANAGEMENT AND SCHEDULE ...................................................................... -
Worldwide Marine Radiofacsimile Broadcast Schedules
WORLDWIDE MARINE RADIOFACSIMILE BROADCAST SCHEDULES U.S. DEPARTMENT OF COMMERCE NATIONAL OCEANIC and ATMOSPHERIC ADMINISTRATION NATIONAL WEATHER SERVICE January 14, 2021 INTRODUCTION Ships....The U.S. Voluntary Observing Ship (VOS) program needs your help! If your ship is not participating in this worthwhile international program, we urge you to join. Remember, the meteorological agencies that do the weather forecasting cannot help you without input from you. ONLY YOU KNOW THE WEATHER AT YOUR POSITION!! Please report the weather at 0000, 0600, 1200, and 1800 UTC as explained in the National Weather Service Observing Handbook No. 1 for Marine Surface Weather Observations. Within 300 nm of a named hurricane, typhoon or tropical storm, or within 200 nm of U.S. or Canadian waters, also report the weather at 0300, 0900, 1500, and 2100 UTC. Your participation is greatly appreciated by all mariners. For assistance, contact a Port Meteorological Officer (PMO), who will come aboard your vessel and provide all the information you need to observe, code and transmit weather observations. This publication is made available via the Internet at: https://weather.gov/marine/media/rfax.pdf The following webpage contains information on the dissemination of U.S. National Weather Service marine products including radiofax, such as frequency and scheduling information as well as links to products. A listing of other recommended webpages may be found in the Appendix. https://weather.gov/marine This PDF file contains links to http pages and FTPMAIL commands. The links may not be compatible with all PDF readers and e-mail systems. The Internet is not part of the National Weather Service's operational data stream and should never be relied upon as a means to obtain the latest forecast and warning data. -
Weather Observations
Operational Weather Analysis … www.wxonline.info Chapter 2 Weather Observations Weather observations are the basic ingredients of weather analysis. These observations define the current state of the atmosphere, serve as the basis for isoline patterns, and provide a means for determining the physical processes that occur in the atmosphere. A working knowledge of the observation process is an important part of weather analysis. Source-Based Observation Classification Weather parameters are determined directly by human observation, by instruments, or by a combination of both. Human-based Parameters : Traditionally the human eye has been the source of various weather parameters. For example, the amount of cloud that covers the sky, the type of precipitation, or horizontal visibility, has been based on human observation. Instrument-based Parameters : Numerous instruments have been developed over the years to sense a variety of weather parameters. Some of these instruments directly observe a particular weather parameter at the location of the instrument. The measurement of air temperature by a thermometer is an excellent example of a direct measurement. Other instruments observe data remotely. These instruments either passively sense radiation coming from a location or actively send radiation into an area and interpret the radiation returned to the instrument. Satellite data for visible and infrared imagery are examples of the former while weather radar is an example of the latter. Hybrid Parameters : Hybrid observations refer to weather parameters that are read by a human observer from an instrument. This approach to collecting weather data has been a big part of the weather observing process for many years. Proper sensing of atmospheric data requires proper siting of the sensors. -
Aerodrome Actual Weather – METAR Decode
Aerodrome Actual Weather – METAR decode Code element Example Decode Notes 1 Identification METAR — Meteorological Airfield Report, SPECI — selected special (not from UK civil METAR or SPECI METAR METAR aerodromes) Location indicator EGLL London Heathrow Station four-letter indicator 'ten twenty Zulu on the Date/Time 291020Z 29th' AUTO Metars will only be disseminated when an aerodrome is closed or at H24 aerodromes, A fully automated where the accredited met. observer is on duty break overnight. Users are reminded that reports AUTO report with no human of visibility, present weather and cloud from automated systems should be treated with caution intervention due to the limitations of the sensors themselves and the spatial area sampled by the sensors. 2 Wind 'three one zero Wind degrees, fifteen knots, Max only given if >= 10KT greater than the mean. VRB = variable. 00000KT = calm. 31015G27KT direction/speed max twenty seven Wind direction is given in degrees true. knots' 'varying between two Extreme direction 280V350 eight zero and three Variation given in clockwise direction, but only when mean speed is greater than 3 KT. variance five zero degrees' 3 Visibility 'three thousand two Prevailing visibility 3200 0000 = 'less than 50 metres' 9999 = 'ten kilometres or more'. No direction is required. hundred metres' Minimum visibility 'Twelve hundred The minimum visibility is also included alongside the prevailing visibility when the visibility in one (in addition to the 1200SW metres to the south- direction, which is not the prevailing visibility, is less than 1500 metres or less than 50% of the prevailing visibility west' prevailing visibility. A direction is also added as one of the eight points of the compass. -
NOTICE: This Publication Is Available At
Department of Commerce • National Oceanic & Atmospheric Administration • National Weather Service NATIONAL WEATHER SERVICE INSTRUCTION 10-807 OCTOBER 5, 2017 Operations and Services Aviation Weather Services, NWSPD 10-8 INTERNATIONAL SERVICE AGREEMENTS NOTICE: This publication is available at: http://www.nws.noaa.gov/directives/. OPR: W/AFS24 (M. Graf) Certified by: W/AFS24 (W. Bauman) Type of Issuance: Routine SUMMARY OF REVISIONS: This directive supersedes NWSI 10-807, “International Service Agreements,” dated May 19, 2009. Changes were made to reflect the NWS Headquarters reorganization effective on April 1, 2015. No content changes were made. Signed 9/21/2017 Andrew D. Stern Date Director Analyze, Forecast, and Support Office NWSI 10-807 OCTOBER 5, 2017 International Service Agreements Table of Contents Page 1. Purpose. ..................................................................................................................................... 2 2. Background. ............................................................................................................................... 2 3. Definition of Unique Terms. ................................................................................................................ 3 4. General ............................................................................................................................................ 3 5. Correspondence with Foreign Meteorological Services. ................................................................. 4 6. Services Provided.