Vaisala News178 / 2008
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University of Oklahoma
UNIVERSITY OF OKLAHOMA GRADUATE COLLEGE INVESTIGATION OF POLARIMETRIC MEASUREMENTS OF RAINFALL AT CLOSE AND DISTANT RANGES A DISSERTATION SUBMITTED TO THE GRADUATE FACULTY in partial fulfillment of the requirements for the degree of Doctor of Philosophy By SCOTT EDWARD GIANGRANDE Norman, Oklahoma 2007 UMI Number: 3291249 UMI Microform 3291249 Copyright 2008 by ProQuest Information and Learning Company. All rights reserved. This microform edition is protected against unauthorized copying under Title 17, United States Code. ProQuest Information and Learning Company 300 North Zeeb Road P.O. Box 1346 Ann Arbor, MI 48106-1346 INVESTIGATION OF POLARIMETRIC MEASUREMENTS OF RAINFALL AT CLOSE AND DISTANT RANGES A DISSERTATION APPROVED FOR THE SCHOOL OF METEOROLOGY BY ____________________________________ Dr. Michael Biggerstaff ____________________________________ Dr. Alexander Ryzhkov ____________________________________ Dr. Jerry Straka ____________________________________ Dr. Guifu Zhang ____________________________________ Dr. Mark Yeary © Copyright by SCOTT EDWARD GIANGRANDE 2007 All Rights Reserved. ACKNOWLEDGEMENTS I would like to extend my sincerest thanks to the numerous individuals who have helped me complete this work. To begin, this work would not have been possible without the guidance of my primary research advisor, Dr. Alexander Ryzhkov. His leadership and patience were instrumental throughout this process. I would also like to extend my gratitude to the other members of my committee: Drs. Michael Biggerstaff (Co-Chair and primary OU School of Meteorology advisor), Guifu Zhang, Jerry Straka, and Mark Yeary. The reviews performed by these individuals strengthened this work. I also thank the members of the Radar Research and Development Division (RRDD) at the National Severe Storms Laboratory (NSSL), which includes Drs. Douglas Forsyth, Dusan Zrnic, Dick Doviak, Allen Zahrai, Terry Schuur, Pam Heinselman, Valery Melnikov, Sebastian Torres, Pengfei Zhang and Svetlana Bachmann. -
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 -
Eyes on the Ocean NDBC Buoys Supporting Prediction, Forecast and Warning for Natural Hazards for Oceans in Action Stennis Space Center August 17, 2016
Eyes on the Ocean NDBC Buoys Supporting Prediction, Forecast and Warning for Natural Hazards for Oceans In Action Stennis Space Center August 17, 2016 Helmut H. Portmann Director, National Data Buoy Center National Weather Service August 17, 2016 1 2016 Atlantic Hurricane Season Near to above-normal Atlantic hurricane season is most likely this year 70 percent likelihood of 12 to 17 named storms Hurricane Alex January TS Bonnie May TS Colin June TS Danielle June Hurricane Earl August Fiona Gaston Hermine Ian Julia Karl Lisa Matthew Nicole Otto Paula Richard Shary Tobias Virginie Walter NationalNational Weather Data Buoy Service Center 2 Influence of La Nina Typical influence of La Niña on Pacific and Atlantic seasonal hurricane activity. Map by NOAA Climate.gov, based on originals by Gerry Bell NationalNational Weather Data Buoy Service Center 3 NOAA’s National Data Buoy Center NationalNational Weather Data Buoy Service Center 4 www. ndbc.noaa.gov www. ndbc.noaa.gov NationalNational Weather Data Buoy Service Center NDBC Observing Platforms Tsunami Weather Buoys in Place for > 30 Years Wx TAO 106 met/ocean WX buoys 47 C-MAN stations 55 TAO Climate Monitoring buoys + 4 current profiler moorings 39 DART Tsunami Monitoring stations NationalNational Weather Data BuoyService Center 6 National Data Buoy Center Electronics Labs Facilities at SSC, MS MCC Operates 24/7/365 Sensor Testing & Cal High Bay Fabrication Paint & Sandblasting Wind Tunnel & Environmental Chambers In-Water Testing Machine Shops El Nino - La Nina Detection NDBC maintains an -
2014 New York Hazard Mitigation Plan Hurricane Section 3.12: HURRICANE (Tropical/ Coastal Storms/ Nor’Easter)
2014 New York Hazard Mitigation Plan Hurricane Section 3.12: HURRICANE (Tropical/ Coastal Storms/ Nor’easter) 2014 SHMP Update Reformatted 2011 Mitigation Plan into 2014 Update outline Added Tropical Storms, Coastal Storms, & Nor’easter hazards to Hurricane Profile Added new key terms to 2011 Mitigation Plan’s list of terms Updated past hurricane occurrences section Inserted Events and Losses table Inserted new Hurricane Events and Property Losses maps Added information on New York Bight Added active State development projects 3.12.1 Hurricane (Tropical/ Coastal Storms/ Nor’easters) Profile Coastal storms, including Nor’easters, tropical storms, and hurricanes can, either directly or indirectly, impact all of New York State. More densely populated and developed coastal areas, such as New York City, are the most vulnerable to hurricane-related damages. Before a storm is classified a hurricane, it must pass through four distinct stages: tropical disturbance, tropical depression, tropical storm and lastly a hurricane. Figure 3.12a: Four Stages of a Hurricane Tropical Disturbance (Stage 1) Tropical Hurricane Depression (Stage 4) (Stage 2) Tropical Storm (Stage 3) 3.12-1 Final Release Date January 4, 2014 2014 New York Hazard Mitigation Plan Hurricane Characteristics Below are some key terms to review relating to hurricanes, tropical storms, coastal storms and nor’easters: Hazard Key Terms and Definition Nor’easter- An intense storm that can cause heavy rain and snow, strong winds, and coastal flooding. Nor’easters have cold, low barometric -
May 20 Virtual Media Briefing on NOAA's 2021 Atlantic Hurricane
TRANSCRIPT NOAA 2021 Hurricane Season Outlook Virtual Media Briefing May 20, 2021 at 12:30 p.m. EDT via GoToMeeting Hosted by NOAA National Weather Service Public Affairs Media advisory about briefing NOAA to announce 2021 Atlantic hurricane season outlook on May 20 Hurricane Outlook news release NOAA predicts another active Atlantic hurricane season 0:22 Good afternoon, everyone. Thank you for joining the announcement of NOAA's 2021, Hurricane Season Outlook. 0:29 This media briefing is being recorded, so if you do not wish to be recorded, please disconnect at this time. 0:34 My name is Lauren, and I'm the media contact for today's Hurricane Outlook. 0:39 At the conclusion of this media briefing, maybe contact e-mail, or by phone, using the contact information included in the media advisory to use to access today's webinar. 0:48 Due to a scheduling conflict, the Secretary of Commerce was unable to join us today, but we are very glad to welcome Deputy Commerce Secretary John Graves in her stead. 0:57 In addition to Deputy secretary grades, I'm joined by Ben Friedman, the App to NOAA Administrator, Matthew Rosencrantz. Now as lead hurricane season forecaster and FEMA administrator as well. 1:09 We'll begin today's briefing with remarks from our speakers and then we'll take questions from reporters. If you'd like to ask a question during the question and answer portion of this briefing, please click the hand icon in the GoToWebinar window next to your name. 1:22 I'll then call upon each quarter. -
ISAIAS (AL092020) 30 July–4 August 2020
NATIONAL HURRICANE CENTER TROPICAL CYCLONE REPORT HURRICANE ISAIAS (AL092020) 30 July–4 August 2020 Andy Latto, Andrew Hagen, and Robbie Berg National Hurricane Center 1 11 June 2021 GOES-16 10.3-µM INFRARED SATELLITE IMAGE OF HURRICANE ISAIAS AT 0310 UTC 04 AUGUST 2020 AS IT MADE LANDFALL NEAR OCEAN ISLE BEACH, NORTH CAROLINA. Isaias was a hurricane that formed in the eastern Caribbean Sea. The storm affected the Leeward Islands, Puerto Rico, Hispaniola, Cuba, the Bahamas, and a large portion of the eastern United States. 1 Original report date 30 March 2021. Second version on 15 April updated Figure 12. This version corrects a wind gust value in the Winds and Pressures section and the track length of a tornado in Delaware. Hurricane Isaias 2 Table of Contents SYNOPTIC HISTORY .......................................................................................... 3 METEOROLOGICAL STATISTICS ...................................................................... 5 Winds and Pressure ........................................................................................... 5 Caribbean Islands and Bahamas ..................................................................... 6 United States ................................................................................................... 6 Rainfall and Flooding ......................................................................................... 7 Storm Surge ....................................................................................................... 8 Tornadoes ....................................................................................................... -
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 . -
2020 Infra Surface Weather Observations
Surface Weather Observations Comparison of Various Observing Systems Scott Landolt & Matthias Steiner National Center for Atmospheric Research [email protected] USHST Infrastructure Summit 12 – 13 March 2020 in Washington, DC © 2020 University Corporation for Atmospheric Research 1 Surface Stations & Reporting Frequency Station Type Frequency of Reports Automated Surface 5 minutes Observing System (ASOS) (limited access to 1 minute data) Automated Weather 20 minutes Observing System (AWOS) 15 minutes (standard), can be Road Weather Information more frequent but varies state to System (RWIS) state and even site to site 5 – 15 minutes, can vary from Mesonet station to station Iowa station network © 2020 University Corporation for Atmospheric Research 2 Reporting Variables Weather Variable ASOS AWOS RWIS Mesonet Temperature X X X X Relative X X X X Humidity/Dewpoint Wind Speed/Direction X X X X Barometric Pressure X X X X Ceiling Height X X X X Visibility X X X X Present Weather X X X X Precipitation X X X X Accumulation Road Condition X X X X X – All Stations Report X – Some Stations Report X – No Stations Report © 2020 University Corporation for Atmospheric Research 3 Station Siting Requirements Station Type Siting Areal Representativeness Automated Surface Miles (varies depending on Airport grounds, unobstructed Observing System (ASOS) local conditions & weather) Automated Weather Miles (varies depending on Airport grounds, unobstructed Observing System (AWOS) local conditions & weather) Next to roadways, can be in canyons, valleys, mountain -
Guidelines for Converting Between Various Wind Averaging Periods in Tropical Cyclone Conditions
GUIDELINES FOR CONVERTING BETWEEN VARIOUS WIND AVERAGING PERIODS IN TROPICAL CYCLONE CONDITIONS For more information, please contact: World Meteorological Organization Communications and Public Affairs Office Tel.: +41 (0) 22 730 83 14 – Fax: +41 (0) 22 730 80 27 E-mail: [email protected] Tropical Cyclone Programme Weather and Disaster Risk Reduction Services Department Tel.: +41 (0) 22 730 84 53 – Fax: +41 (0) 22 730 81 28 E-mail: [email protected] 7 bis, avenue de la Paix – P.O. Box 2300 – CH 1211 Geneva 2 – Switzerland www.wmo.int D-WDS_101692 WMO/TD-No. 1555 GUIDELINES FOR CONVERTING BETWEEN VARIOUS WIND AVERAGING PERIODS IN TROPICAL CYCLONE CONDITIONS by B. A. Harper1, J. D. Kepert2 and J. D. Ginger3 August 2010 1BE (Hons), PhD (James Cook), Systems Engineering Australia Pty Ltd, Brisbane, Australia. 2BSc (Hons) (Western Australia), MSc, PhD (Monash), Bureau of Meteorology, Centre for Australian Weather and Climate Research, Melbourne, Australia. 3BSc Eng (Peradeniya-Sri Lanka), MEngSc (Monash), PhD (Queensland), Cyclone Testing Station, James Cook University, Townsville, Australia. © World Meteorological Organization, 2010 The right of publication in print, electronic and any other form and in any language is reserved by WMO. Short extracts from WMO publications may be reproduced without authorization, provided that the complete source is clearly indicated. Editorial correspondence and requests to publish, reproduce or translate these publication in part or in whole should be addressed to: Chairperson, Publications Board World Meteorological Organization (WMO) 7 bis, avenue de la Paix Tel.: +41 (0) 22 730 84 03 P.O. Box 2300 Fax: +41 (0) 22 730 80 40 CH-1211 Geneva 2, Switzerland E-mail: [email protected] NOTE The designations employed in WMO publications and the presentation of material in this publication do not imply the expression of any opinion whatsoever on the part of the Secretariat of WMO concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. -
Relative Forecast Impact from Aircraft, Profiler, Rawinsonde, VAD, GPS-PW, METAR and Mesonet Observations for Hourly Assimilation in the RUC
16.2 Relative forecast impact from aircraft, profiler, rawinsonde, VAD, GPS-PW, METAR and mesonet observations for hourly assimilation in the RUC Stan Benjamin, Brian D. Jamison, William R. Moninger, Barry Schwartz, and Thomas W. Schlatter NOAA Earth System Research Laboratory, Boulder, CO 1. Introduction A series of experiments was conducted using the Rapid Update Cycle (RUC) model/assimilation system in which various data sources were denied to assess the relative importance of the different data types for short-range (3h-12h duration) wind, temperature, and relative humidity forecasts at different vertical levels. This assessment of the value of 7 different observation data types (aircraft (AMDAR and TAMDAR), profiler, rawinsonde, VAD (velocity azimuth display) winds, GPS precipitable water, METAR, and mesonet) on short-range numerical forecasts was carried out for a 10-day period from November- December 2006. 2. Background Observation system experiments (OSEs) have been found very useful to determine the impact of particular observation types on operational NWP systems (e.g., Graham et al. 2000, Bouttier 2001, Zapotocny et al. 2002). This new study is unique in considering the effects of most of the currently assimilated high-frequency observing systems in a 1-h assimilation cycle. The previous observation impact experiments reported in Benjamin et al. (2004a) were primarily for wind profiler and only for effects on wind forecasts. This new impact study is much broader than that the previous study, now for more observation types, and for three forecast fields: wind, temperature, and moisture. Here, a set of observational sensitivity experiments (Table 1) were carried out for a recent winter period using 2007 versions of the Rapid Update Cycle assimilation system and forecast model. -
Weatherscope Weatherscope Application Information: Weatherscope Is a Stand-Alone Application That Makes Viewing Weather Data Easier
User Guide - Macintosh http://earthstorm.ocs.ou.edu WeatherScope WeatherScope Application Information: WeatherScope is a stand-alone application that makes viewing weather data easier. To run WeatherScope, Mac OS X version 10.3.7, a minimum of 512MB of RAM, and an accelerated graphics card with 32MB of VRAM are required. WeatherScope is distributed freely for noncommercial and educational use and can be used on both Apple Macintosh and Windows operating systems. How do I Download WeatherScope? To download the application, go to http://earthstorm.ocs.ou.edu, select Data, Software, Download, or go to http://www. ocs.ou.edu/software. There will be three options: WeatherBuddy, WeatherScope, and WxScope Plugin. You will want to choose WeatherScope. There are two options under the application: Macintosh or Windows. Choose Macintosh to download the application. The installation wizard will automatically save to your desktop. Go to your desktop and double click on the icon that says WeatherScope- x.x.x.pkg. Several dialog messages will appear. The fi rst message will inform you that you are about to install the application. The next message tells you about computer system requirements in order to download the application. The following message is the Software License Agreement. It is strongly suggested that you read this agreement. If you agree, click Agree. If you do not agree, click Disagree and the software will not be installed onto your computer. The next message asks you to select a destination drive (usually your hard drive). The setup will run and install the software on your computer. You may then press Close.