Launching of New RS90-AG Radiosonde Valuable
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Frequency Plan, 2004
BOTSWANA RADIO FREQUENCY PLAN, 2004 . Botswana Radio Frequency Plan, 2004 Published on 16 April 2004. TABLE OF CONTENTS Part 1 PRELIMINARY 1. Introduction. 2. Definitions. 3. Interpretation of Table of Frequency Allocations. Part II TABLE OF FREQUENCY ALLOCATIONS 4. Table of Frequency Allocations. 5. ITU Radio Regulations Footnotes National Radio Frequency Plan 2004 Page 1 BOTSWANA RADIO FREQUENCY PLAN, 2004 . PART 1 - PRELIMINARY 1. Introduction The basis for the Botswana Radio Frequency Band Plan is Section 43 of the Telecommunications Act, 1996 [No. 15 of 1996] and Article 5 of the International Telecommunication Union (ITU) Radio Regulations. The ITU Radio Regulations are annexed to the ITU Convention and are revised by the ITU World Radiocommunication Conference, normally held every three years. The Botswana frequency allocations are broadly in consonance with the ITU requirements for Region 1, within which Botswana falls under 2. Definitions In these regulations, unless the context otherwise requires, “Act” refers to the Telecommunications Act No. 15 of 1996. “Administration” means a government or public authority of a country that is responsible for giving effect to the obligations of the country as a member of International Telecommunications Union (ITU). Botswana Telecommunication Authority (BTA) is the Botswana administration. “Additional Allocation” means an allocation, in the form of Footnote, which is added in this area or in this country to the services or services which are indicated in Table of Frequency allocation. “Aeronautical Mobile Service” a mobile service between aeronautical stations and aircraft stations, or between aircraft stations, in which survival craft stations may participate; emergency position-indicating radiobeacon stations may also participate in this service on designated distress and emergency frequencies. -
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 -
Imet-4 Radiosonde 403 Mhz GPS Synoptic
iMet-4 Radiosonde 403 MHz GPS Synoptic Technical Data Sheet Temperature and Humidity Radiosonde Data Transmission The iMet-4 measures air temperature with a The iMet-4 radiosonde can transmit to an small glass bead thermistor. Its small size effective range of over 250 km*. minimizes effects caused by long and short- wave radiation and ensures fast response times. A 6 kHz peak-to-peak FM transmission maximizes efficiency and makes more channels The humidity sensor is a thin-film capacitive available for operational use. Seven frequency polymer that responds directly to relative selections are pre-programmed - with custom humidity. The sensor incorporates a temperature programming available. sensor to minimize errors caused by solar heating. Calibration Pressure and Height The iMet-4’s temperature and humidity sensors are calibrated using NIST traceable references to As recommended by GRUAN3, the iMet-4 is yield the highest data quality. equipped with a pressure sensor to calculate height at lower levels in the atmosphere. Once Benefits the radiosonde reaches the optimal height, pressure is derived using GPS altitude combined • Superior PTU performance with temperature and humidity data. • Lightweight, compact design • No assembly or recalibration required The pressure sensor facilitates the use of the • GRUAN3 qualified (pending) sonde in field campaigns where a calibrated • Status LED indicates transmit frequency barometer is not available to establish an selection and 3-D GPS solution accurate ground observation for GPS-derived • Simple one-button user interface pressure. For synoptic use, the sensor is bias adjusted at ground level. Winds Data from the radiosonde's GPS receiver is used to calculate wind speed and direction. -
Comparison Between GPS Radio Occultation and Radiosonde Sounding Data
Comparison Between GPS Radio Occultation and Radiosonde Sounding Data Dione Rossiter Academic Affiliation, Fall 2003: Senior University of California, Berkeley SOARS® Summer 2003 Science Research Mentors: Christian Rocken, Bill Kuo, and Bill Schreiner Writing and Communications Mentor: David Gochis Community Mentor: Annette Lampert Peer Mentor: Pauline Datulayta ABSTRACT Global Positioning System (GPS) Radio Occultation (RO) is a new technique for obtaining profiles of atmospheric properties, specifically: refractivity, temperature, pressure, water vapor pressure in the neutral atmosphere, and electron density in the ionosphere. The data received from GPS RO contribute significant amounts of information to a range of fields including meteorology, climate, ionospheric research, geodesy, and gravity. Low-Earth orbiting satellites, equipped with a GPS receiver, track GPS radio signals as they set or rise behind the Earth. Since GPS signals are refracted (delayed and bent) by the Earth's atmosphere, these data are used to infer information about atmospheric refractivity. Before the GPS RO data are used for research and operations, it is essential to assess their accuracy. Therefore, this research provided quantitative estimates of the accuracy of GPS RO when compared with measurements of known accuracy. Profile statistics (mean, standard deviation, standard error) were computed as a function of altitude to quantify the errors. Comparing RO data with nearby (300km; 2hr) radiosonde data yielded small mean error for all of the statistical plots generated, affirming that the RO technique is accurate for measuring atmospheric properties. Comparison of RO data with sounding data from different radiosonde systems showed that the RO technique was of high enough accuracy to differentiate differences in performance of various types of radiosonde systems. -
GPS-Based Measurement of Height and Pressure with Vaisala Radiosonde RS41
GPS-Based Measurement of Height and Pressure with Vaisala Radiosonde RS41 WHITE PAPER Table of Contents CHAPTER 1 Introduction ................................................................................................................................................. 4 Executive Summary of Measurement Performance ............................................................................. 5 CHAPTER 2 GPS Technology in the Vaisala Radiosonde RS41 ........................................................................................... 6 Radiosonde GPS Receiver .................................................................................................................. 6 Local GPS Receiver .......................................................................................................................... 6 Calculation Algorithms ..................................................................................................................... 6 CHAPTER 3 GPS-Based Measurement Methods ............................................................................................................... 7 Height Measurement ......................................................................................................................... 7 Pressure Measurement ..................................................................................................................... 7 Measurement Accuracy..................................................................................................................... 8 CHAPTER -
How to Get Weather and Pest Data?
How to get weather and pest data? François Brun (ACTA) with contributions of the other lecturers IPM CC, October 2016 Which data ? • Weather and Climate – Weather : conditions of the atmosphere over a short period of time – climate : atmosphere behavior over relatively long periods of time. • Pest and Disease data – Effects of conditions : experiments – Epidemiology : observation / monitoring networks Weather and Climate data Past Weather Historical Climate Data – Ground weather station – Average and variability – Satellite,… – Real long time series – Reconstituted long series – Simulated long series (1961- 1990 : reference) Forecast Weather Climate projections – Prediction with model – Prediction with model – Short term : 1h, 3h, 12h, 24, – IPCC report 3 day, 15 day. – 2021-2050 : middle of – Seasonal prediction : 1 to 6 century period months (~ el nino ) – 2071-2100 : end of century period Past Weather data Standard weather station Standard : at 2 m height • Frequent Useful for us – Thermometer : temperature – Anemometer : wind speed – Wind vane : wind direction – Hygrometer : humidity – Barometer : atmospheric pressure • Less frequent – Ceilometer : cloud height – Present weather sensor – Visibility sensor – Rain gauge : liquid-equivalent precipitation – Ultrasonic snow depth sensor for measuring depth of snow © Choi – Pyranometer : solar radiation Past Weather data In field / micro weather observations Wetness duration Temperature and humidity in canopy Water in soil © Choi Past Weather data Where to retrieve them ? • Your own weather -
ICICLE Program Updates (Stephanie Divito, FAA)
In-Cloud ICing and Large-drop Experiment Stephanie DiVito, FAA October 13, 2020 New FAA Flight program: ICICLE In-Cloud ICing and Large-drop Experiment Other Participants: Desert Research Institute (DRI), National Oceanic and Atmospheric Association (NOAA) Earth System Research Laboratory (ESRL), National Aeronautics and Space Administration (NASA) Langley Research Center, Meteo-France, UK Met Office, Deutscher Wetterdienst (German Meteorological Office), Northern Illinois University, Iowa State University, University of Illinois at Urbana-Champaign, and Valparaiso University 10/13/2020 FPAW: ICICLE 2 Flight Program Overview • January 27 – March 8, 2019 • Operations Base: Rockford, Illinois – Domain: 200 nmi radius • NRC Convair-580 aircraft – Owned and operated by NRC Flight Research Laboratory – Jointly instrumented by NRC and ECCC – Extensively used in icing research for over 25 years • 120 flight hours (110 for research) • 26 research flights (30 total) 10/13/2020 FPAW: ICICLE 3 Scientific & Technical Objectives • Observe, document, and further characterize a variety of in-flight and surface-level icing conditions – Environmental parameters and particle size distribution for: . Small-drop icing, FZDZ and FZRA – Transitions between those environments & non-icing environments – Synoptic, mesoscale & local effects • Assess ability of operational data, icing tools and products to diagnose and forecast those features – Satellite – GOES-16 – Radar – Individual NEXRADs, MRMS – Surface based – ASOS, AWOS, etc. – Numerical Weather Prediction (NWP) models – Microphysical parameterizations, TLE, etc. – Icing Products - CIP, FIP, other icing tools 10/13/2020 FPAW: ICICLE 4 Sampling Objectives (1/2) • Collect data in a wide variety of icing and non-icing conditions – Small-drop and large-drop . Including those with (& without) FZDZ and FZRA – Null icing environments . -
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. -
The Impact of Dropsonde and Extra Radiosonde Observations During NAWDEX in Autumn 2016
FEBRUARY 2020 S C H I N D L E R E T A L . 809 The Impact of Dropsonde and Extra Radiosonde Observations during NAWDEX in Autumn 2016 MATTHIAS SCHINDLER Meteorologisches Institut, Ludwig-Maximilians-Universitat,€ Munich, Germany MARTIN WEISSMANN Hans-Ertel Centre for Weather Research, Deutscher Wetterdienst, Munich, Germany, and Institut fur€ Meteorologie und Geophysik, Universitat€ Wien, Vienna, Austria ANDREAS SCHÄFLER Institut fur€ Physik der Atmosphare,€ Deutsches Zentrum fur€ Luft- und Raumfahrt, Oberpfaffenhofen, Germany GABOR RADNOTI European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom (Manuscript received 2 May 2019, in final form 18 November 2019) ABSTRACT Dropsonde observations from three research aircraft in the North Atlantic region, as well as several hundred additionally launched radiosondes over Canada and Europe, were collected during the international North Atlantic Waveguide and Downstream Impact Experiment (NAWDEX) in autumn 2016. In addition, over 1000 dropsondes were deployed during NOAA’s Sensing Hazards with Operational Unmanned Technology (SHOUT) and Reconnaissance missions in the west Atlantic basin, supplementing the conven- tional observing network for several intensive observation periods. This unique dataset was assimilated within the framework of cycled data denial experiments for a 1-month period performed with the global model of the ECMWF. Results show a slightly reduced mean forecast error (1%–3%) over the northern Atlantic and Europe by assimilating these additional observations, with the most prominent error reductions being linked to Tropical Storm Karl, Cyclones Matthew and Nicole, and their subsequent interaction with the midlatitude waveguide. The evaluation of Forecast Sensitivity to Observation Impact (FSOI) indicates that the largest impact is due to dropsondes near tropical storms and cyclones, followed by dropsondes over the northern Atlantic and additional Canadian radiosondes. -
Ott Parsivel - Enhanced Precipitation Identifier for Present Weather, Drop Size Distribution and Radar Reflectivity - Ott Messtechnik, Germany
® OTT PARSIVEL - ENHANCED PRECIPITATION IDENTIFIER FOR PRESENT WEATHER, DROP SIZE DISTRIBUTION AND RADAR REFLECTIVITY - OTT MESSTECHNIK, GERMANY Kurt Nemeth1, Martin Löffler-Mang2 1 OTT Messtechnik GmbH & Co. KG, Kempten (Germany) 2 HTW, Saarbrücken (Germany) as a laser-optic enhanced precipitation identifier and present weather sensor. The patented extinction method for simultaneous measurements of particle size and velocity of all liquid and solid precipitation employs a direct physical measurement principle and classification of hydrometeors. The instrument provides a full picture of precipitation events during any kind of weather phenomenon and provides accurate reporting of precipitation types, accumulation and intensities without degradation of per- formance in severe outdoor environments. Parsivel® operates in any climate regime and the built-in heating device minimizes the negative effect of freezing and frozen precipitation accreting critical surfaces on the instrument. Parsivel® can be integrated into an Automated Surface/ Weather Observing System (ASOS/AWOS) as part of the sensor suite. The derived data can be processed and 1. Introduction included into transmitted weather observation reports and messages (WMO, SYNOP, METAR and NWS codes). ® OTT Parsivel : Laser based optical Disdrometer for 1.2. Performance, accuracy and calibration procedure simultaneous measurement of PARticle SIze and VELocity of all liquid and solid precipitation. This state The new generation of Parsivel® disdrometer provides of the art instrument, designed to operate under all the latest state of the art optical laser technology. Each weather conditions, is capable of fulfilling multiple hydrometeor, which falls through the measuring area is meteorological applications: present weather sensing, measured simultaneously for size and velocity with an optical precipitation gauging, enhanced precipitation acquisition cycle of 50 kHz. -
Key West NWS Key West • Antenna & Mailing Bag Tube (Bottom)
Did you know? The United States’ federal weather service –- known today as the National Weather Service (NWS) -- has been taking upper-air observations since the late 1930s. To take these observations, a compact instrument package called a radiosonde (pictured to the right) is suspended from a large balloon. As the balloon ascends, the radiosonde sensors take continuous temperature, relative humidity, & pressure readings. These measurements are then sent to a ground receiver by way of a radio frequency transmitter. A GPS antenna allows for location tracking and the calculation of wind speed & direction. Rising at about 1,000 feet per minute, the flight can last in excess of two hours. During this time the balloon typically ascends to over 100,000 feet and can drift more than 125 miles from Data are used for: where it was released. • Weather Prediction Anatomy of a radiosonde: Models • Sensor boom with a thermistor & two When the balloon has reached its • Severe Weather, Aviation, relative humidity sensors elastic limit (generally around 20-25 Fire, & Marine Forecasts feet in diameter!) it will burst, and a • Spiral GPS antenna small parachute will help to slow the • Climate Change Research • Pressure cell & sonde circuitry (inside) • Air Pollution Models descent of the radiosonde. NWS Key West NWS Key West • Antenna & mailing bag tube (bottom) Almost 900 stations worldwide Women's first opportunities perform upper-air observations, in meteorology occurred in launched around the same time the 1940s, as a result of every day –- for 00 and 12 UTC. WWII. Women joined the The NWS oversees observations Weather Bureau as observers for 92 stations: 69 in the lower and forecasters to fill job 48 United States, 13 in Alaska, vacancies. -
Observation of Present and Past Weather; State of the Ground
CHAPTER CONTENTS Page CHAPTER 14. OBSERVATION OF PRESENT AND PAST WEATHER; STATE OF THE GROUND .. 450 14.1 General ................................................................... 450 14.1.1 Definitions ......................................................... 450 14.1.2 Units and scales ..................................................... 450 14.1.3 Meteorological requirements ......................................... 451 14.1.4 Observation methods. 451 14.2 Observation of present and past weather ...................................... 451 14.2.1 Precipitation. 452 14.2.1.1 Objects of observation ....................................... 452 14.2.1.2 Instruments and measuring devices: precipitation type ........... 452 14.2.1.3 Instruments and measuring devices: precipitation intensity and character ............................................... 454 14.2.1.4 Instruments and measuring devices: multi-sensor approach ....... 455 14.2.2 Atmospheric obscurity and suspensoids ................................ 455 14.2.2.1 Objects of observation ....................................... 455 14.2.2.2 Instruments and measuring devices for obscurity and suspensoid characteristics .................................... 455 14.2.3 Other weather events ................................................ 456 14.2.3.1 Objects of observation ....................................... 456 14.2.3.2 Instruments and measuring devices. 457 14.2.4 State of the sky ...................................................... 457 14.2.4.1 Objects of observation ......................................