Full Automation of Aeronautical Meteorological Observations and Reports at Aerodromes
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Downloaded 09/25/21 08:19 AM UTC 662 JOURNAL of ATMOSPHERIC and OCEANIC TECHNOLOGY VOLUME 15 Mer 1987; Muller and Beekman 1987; Crescenti Et Al
JUNE 1998 BREAKER ET AL. 661 Preliminary Results from Long-Term Measurements of Atmospheric Moisture in the Marine Boundary Layer in the Gulf of Mexico* LAURENCE C. BREAKER National Weather Service, NCEP, NOAA, Washington, D.C. DAVID B. GILHOUSEN National Weather Service, National Data Buoy Center, NOAA, Stennis Space Center, Mississippi LAWRENCE D. BURROUGHS National Weather Service, NCEP, NOAA, Washington, D.C. (Manuscript received 1 April 1997, in ®nal form 18 July 1997) ABSTRACT Measurements of boundary layer moisture have been acquired from Rotronic MP-100 sensors deployed on two National Data Buoy Center (NDBC) buoys in the northern Gulf of Mexico from June through November 1993. For one sensor that was retrieved approximately 8 months after deployment and a second sensor that was retrieved about 14 months after deployment, the pre- and postcalibrations agreed closely and fell within WMO speci®cations for accuracy. A second Rotronic sensor on one of the buoys provided the basis for a detailed comparison of the instruments and showed close agreement. A separate comparison of the Rotronic instrument with an HO-83 hygrometer at NDBC showed generally close agreement over a 1-month period, which included a number of fog events. The buoy observations of relative humidity and supporting data from the buoys were used to calculate speci®c humidity. Speci®c humidities from the buoys were compared with speci®c humidities computed from observations obtained from nearby ship reports, and the correlations were generally high (0.7± 0.9). Uncertainties in the calculated values of speci®c humidity were also estimated and ranged between 0.27% and 2.1% of the mean value, depending on the method used to estimate this quantity. -
Snow Nowcasting Using a Real-Time Correlation of Radar Reflectivity
20 JOURNAL OF APPLIED METEOROLOGY VOLUME 42 Snow Nowcasting Using a Real-Time Correlation of Radar Re¯ectivity with Snow Gauge Accumulation ROY RASMUSSEN AND MICHAEL DIXON National Center for Atmospheric Research, Boulder, Colorado STEVE VASILOFF National Severe Storms Laboratory, Norman, Oklahoma FRANK HAGE,SHELLY KNIGHT,J.VIVEKANANDAN, AND MEI XU National Center for Atmospheric Research, Boulder, Colorado (Manuscript received 21 November 2001, in ®nal form 13 June 2002) ABSTRACT This paper describes and evaluates an algorithm for nowcasting snow water equivalent (SWE) at a point on the surface based on a real-time correlation of equivalent radar re¯ectivity (Ze) with snow gauge rate (S). It is shown from both theory and previous results that Ze±S relationships vary signi®cantly during a storm and from storm to storm, requiring a real-time correlation of Ze and S. A key element of the algorithm is taking into account snow drift and distance of the radar volume from the snow gauge. The algorithm was applied to a number of New York City snowstorms and was shown to have skill in nowcasting SWE out to at least 1 h when compared with persistence. The algorithm is currently being used in a real-time winter weather nowcasting system, called Weather Support to Deicing Decision Making (WSDDM), to improve decision making regarding the deicing of aircraft and runway clearing. The algorithm can also be used to provide a real-time Z±S relationship for Weather Surveillance Radar-1988 Doppler (WSR-88D) if a well-shielded snow gauge is available to measure real-time SWE rate and appropriate range corrections are made. -
7. Airport and Expressway Networks (PDF, 352KB)
WEST JAPAN RAILWAY COMPANY CORPORATE OPERATING CONTENTS BUSINESS DATA OTHER Fact Sheets 2019 OVERVIEW ENVIRONMENT 7 Operating Environment Airport and Expressway Networks As of March 31, 2019 Tokyo — Fukuoka Tokyo — Hiroshima Tokyo — Okayama Tokyo — Kanazawa Tokyo — Toyama Travel Time Fare (¥) Frequency Travel Time Fare (¥) Frequency Travel Time Fare (¥) Frequency Travel Time Fare (¥) Frequency Travel Time Fare (¥) Frequency Shinkansen 4h 46m 22,950 31 Shinkansen 3h 44m 19,080 46 Shinkansen 3h 09m 17,340 60 Shinkansen 2h 28m 14,120 24 Shinkansen 2h 08m 12,730 24 Niigata Airport Airlines 3h 00m 41,390 54 (19) Airlines 3h 30m 34,890 18 Airlines 3h 10m 33,990 10 Airlines 2h 50m 24,890 10 Airlines 2h 30m 24,890 4 Travel Time and Fare: JAL or ANA Noto Airport Frequency: All airlines. Numbers in parentheses are frequency excluding those of JAL or ANA. Kanazawa Izumo Airport Komatsu Toyama Airport Yonago Airport Airport Tottori Airport Yonago Hagi Iwami Airport Izumo Tajima Airport Gotsu Hamada Tsuruga Yamaguchi Ube Airport Yamaguchi HiroshimaHiroshima Hiroshima Airport Okayama Airport Maibara Kitakyushu Ibaraki Airport Onomichi Hakata KomakiKomaki AirportAirport Okayama KobeKobe ItamiItami AirportAirport Fukuoka Airport Kitakyushu Airport KKurashikiurashiki SSuitauita Iwakuni Kintaikyo NagoyaNagoya Sasebo Tosu Airport Sakaide Shin-OsakaShin-Osaka Tokyo Saga Airport Imabari Kobe Airport Narita Airport Matsuyama Airport Takamatsu Airport Naruto KansaiKansai AirportAirport Haneda Airport Oita Airport Kansai Nagasaki International Airport Chubu International -
A Study on Snow Density Variations at Different Elevations
Brian Miretzky 1 A Study on Snow Density Variations at Different Elevations and the Related Consequences; Especially to Forecasting. Brian J. Miretzky Senior Undergrad at the University of Wisconsin- Madison ABSTRACT With observations becoming more common and forecasting becoming more accurate snow density research has increased. These new observations can be correlated with current knowledge to develop reasons for snow density variations. Currently there is still no specific consensus on what are the important characteristics in snow density variations. There are many points of general agreement such as that temperature and relative humidity are key factors. How to incorporate these into snowfall prediction is the key. Once there is more substantiated knowledge, more accurate forecasts can be made. Finally, the last in the chain of events is that society can plan accordingly to this new data. Better prediction means less work, less time, and less money spent. This study attempts to determine if elevation is an important characteristic in snow density variations. It also looks at computer models and how snow density is used in conjunction with these models to make snowfall projections. The results seem to show elevation is not an important characteristic. The results also show that model accuracy is more important than snow density variations when using models to make snowfall projections. 1. Introduction volume of the sample. Snow densities are typically on an order of 70 to 150 kg The density of snow is a m-3, but can be lower or higher in some very important topic in winter weather. cases. This is because the density of snow The fact that snow densities can helps determine characteristics of a vary makes them one of the most given snowfall. -
Manual of Aeronautical Meteorological Practice --`,,```,,,,````-`-`,,`,,`,`,,`
Doc 8896 AN/893 Manual of Aeronautical Meteorological Practice --`,,```,,,,````-`-`,,`,,`,`,,`--- Approved by the Secretary General and published under his authority Ninth Edition — 2011 International Civil Aviation Organization Copyright International Civil Aviation Organization Provided by IHS under license with ICAO No reproduction or networking permitted without license from IHS Not for Resale Suzanne --`,,```,,,,````-`-`,,`,,`,`,,`--- Copyright International Civil Aviation Organization Provided by IHS under license with ICAO No reproduction or networking permitted without license from IHS Not for Resale Doc 8896 AN/893 Manual of Aeronautical Meteorological Practice --`,,```,,,,````-`-`,,`,,`,`,,`--- Approved by the Secretary General and published under his authority Ninth Edition — 2011 International Civil Aviation Organization Copyright International Civil Aviation Organization Provided by IHS under license with ICAO No reproduction or networking permitted without license from IHS Not for Resale Published in separate English, French, Russian and Spanish editions by the INTERNATIONAL CIVIL AVIATION ORGANIZATION 999 University Street, Montréal, Quebec, Canada H3C 5H7 For ordering information and for a complete listing of sales agents and booksellers, please go to the ICAO website at www.icao.int Seventh edition 2006 Eighth edition 2008 Ninth edition 2011 ICAO Doc 8896, Manual of Aeronautical Meteorological Practice Order Number: 8896 ISBN 978-92-9231-828-4 © ICAO 2011 All rights reserved. No part of this publication may be reproduced, -
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. -
Evaluation of the Hotplate Snow Gauge
Evaluation of the Hotplate Snow Gauge http://aurora-program.org Aurora Project 2004-01 Final Report July 2005 Technical Report Documentation Page 1. Report No. 2. Government Accession No. 3. Recipient’s Catalog No. Aurora Project 2004-01 4. Title and Subtitle 5. Report Date Evaluation of the Hotplate Snow Gauge July 2005 6. Performing Organization Code 7. Author(s) 8. Performing Organization Report No. Jack Stickel, Bill Maloney, Curt Pape, Dennis Burkheimer 9. Performing Organization Name and Address 10. Work Unit No. (TRAIS) Center for Transportation Research and Education Iowa State University 11. Contract or Grant No. 2711 South Loop Drive, Suite 4700 Ames, IA 50010-8664 12. Sponsoring Organization Name and Address 13. Type of Report and Period Covered Aurora Program Iowa State University 14. Sponsoring Agency Code 2711 South Loop Drive, Suite 4700 Ames, IA 50010-8664 15. Supplementary Notes Visit www.ctre.iastate.edu for color PDF files of this and other research reports. 16. Abstract Winter precipitation (e.g., snow, ice, freezing rain) is poorly measured by current National Weather Service (NWS), Federal Aviation Administration (FAA), and State Departments of Transportation (SDOT) automated weather observation systems. The lack of accurate winter precipitation measurements, particularly snow, negatively impacts the ability of winter maintenance personnel to conduct snow and ice control operations. The inability to accurately measure winter precipitation is an ongoing problem that is well recognized by the meteorological community as well as organizations and industries dependent on accurate quantitative precipitation information. The FAA recognized this limitation and its impact on the ability to conduct aircraft deicing operations, and began a research program in the 1990s to improve decision support for aircraft deicing. -
Measurement of Precipitation
CHAPTER CONTENTS Page CHAPTER 6. MEASUREMENT OF PRECIPITATION ..................................... 186 6.1 General ................................................................... 186 6.1.1 Definitions ......................................................... 186 6.1.2 Units and scales ..................................................... 186 6.1.3 Meteorological and hydrological requirements .......................... 187 6.1.4 Measurement methods .............................................. 187 6.1.4.1 Instruments ................................................ 187 6.1.4.2 Reference gauges and intercomparisons ........................ 188 6.1.4.3 Documentation. 188 6.2 Siting and exposure ........................................................ 189 6.3 Non-recording precipitation gauges .......................................... 190 6.3.1 Ordinary gauges .................................................... 190 6.3.1.1 Instruments ................................................ 190 6.3.1.2 Operation. 192 6.3.1.3 Calibration and maintenance ................................. 192 6.3.2 Storage gauges ..................................................... 192 6.4 Precipitation gauge errors and corrections ..................................... 193 6.5 Recording precipitation gauges .............................................. 196 6.5.1 Weighing-recording gauge ........................................... 196 6.5.1.1 Instruments ................................................ 196 6.5.1.2 Errors and corrections. 197 6.5.1.3 Calibration -
Report Rapport
A Report Rapport Atomic Energy Commission de contr6le Contr.ol.Bo&rd de f'6nergie atomique ca9111007 THE PICKERING MESONET 1988 DATA REPORT by J.R. Salmon and P.A. Taylor Atomic Energy Commission de controle INFO-0348 Control Board de I'energie atomique PO Box 1046 CP 1046 Oliawa Canada Ollawa. Canada KIP5S9 K1P5S9 THE PICKERING MESONET 1988 DATA REPORT by J.R. Salmon and P.A. Taylor A research report prepared for the Atomic Energy Control Board Ottawa, Canada Project No. 2.129.1 October 1989 Canada Research report THE PICKERING MESONET —1988 DATA REPORT By J.R. Salmon and P.A. Taylor ABSTRACT This report describes the demonstration mesoscale meteorological monitoring network ("mesonet") installed in the vicinity of the Pickering Nuiclear Generating Station. It also summarizes the data collected by the network during 1988 and provides some examples of situations in which mesosclae effects dominate the local wind flow. RESUME Le present rapport de"crit le r6seau de controle me'te'orologique d'e'chelle moyenne de demonstration («mesonet») installs pres de la centrale nucllaire Pickering. II resume aussi les donne'es recueillies par le rdseau en 1988 et fournit quelques exemples de situations ou les effets d'e'chelle moyenne dominent la coulle de vent local. DISCLAIMER The Atomic Energy Control Board is not responsible for the accuracy of the statements made or opinions expressed in this publication, and neither the Board nor the authors assume liability with respect to any damage or loss incurred as a result of the use made of the information contained in this publication. -
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. -
Activities in Japan 1 Activities in Japan
Chapter 3 Activities in Japan 1 Activities in Japan (1) Schedule Date Time Program October 27 <National Leaders (NLs), Participating Youths (PYs) and host family representatives Tuesday from ASEAN member countries> Arrival at Narita International Airport 6:45 Myanmar (NH-814) 7:15 Malaysia, Brunei Darussalam (MH-088) 7:35 Lao P.D.R., Cambodia (TG-642) 8:00 Host family representatives from Vietnam (VN-300) 8:50 Indonesia (GA-874) *arrival at Haneda airport Transfer to the Cabinet Office for orientation Move to Hotel New Otani Tokyo 15:00 Philippines (NH-820) 15:05 Vietnam (VN-384) *arrival at Haneda airport 16:05 Singapore (JL-712) 17:30 Thailand (JL-032)*arrival at Haneda airport Transfer to Hotel New Otani Tokyo and orientation at the hotel Stay at Hotel New Otani Tokyo <Japanese PYs> Pre-departure training Stay at National Olympics Memorial Youth Center October 28 <Japanese PYs> Wednesday 8:15 Move to Hotel New Otani Tokyo <NLs, PYs and host family representatives> 9:00-11:00 Orientation (“Ho-oh”, Hotel New Otani Tokyo) • Speech by Mr. Hideki Uemura, Administrator • Introduction of NLs and PYs • Introduction of host family representatives • Introduction of Administrative staff members • Explanation of the country program in Japan • Speech by Ms. Tomoko Okawara, Chairperson of Japan-ASEAN Youth Leaders Summit (YLS) Organizing Committee • Solidarity Group (SG) meeting <Host family representatives> 11:15-11:45 Courtesy call on Mr. Takahiko Yasuda, Director General for International Youth Exchange, Cabinet Office (“Tsubaki”, Hotel New Otani Tokyo) • Speech by Mr. Takahiko Yasuda, Director General for International Youth Exchange, Cabinet Office • Presentation of certificate and gift • Photo session 30 Chapter 3 Activities in Japan Date Time Program October 28 <NLs, PYs and host family representatives> Wednesday 12:00-12:30 Inauguration Ceremony (“Ho-oh”, Hotel New Otani Tokyo) • Moment of silence for the victims of the bus accident in Brunei Darussalam in 2001 • Speech by Mr. -
Ai2013-5 Aircraft Serious Incident Investigation Report
AI2013-5 AIRCRAFT SERIOUS INCIDENT INVESTIGATION REPORT NOEVIR AVIATION CO., LTD. J A 3 5 B B JAPAN AIR COMMUTER CO., LTD. J A 8 4 9 C December 20, 2013 The objective of the investigation conducted by the Japan Transport Safety Board in accordance with the Act for Establishment of the Japan Transport Safety Board (and with Annex 13 to the Convention on International Civil Aviation) is to prevent future accidents and incidents. It is not the purpose of the investigation to apportion blame or liability. Norihiro Goto Chairman, Japan Transport Safety Board Note: This report is a translation of the Japanese original investigation report. The text in Japanese shall prevail in the interpretation of the report. AIRCRAFT SERIOUS INCIDENT INVESTIGATION REPORT 1. NOEVIR AVIATION CO., LTD. EUROCOPTER AS 350 B3, JA35BB 2. JAPAN AIR COMMUTER CO., LTD. BOMBARDIER DHC-8-402, JA849C A TAKE-OFF FROM THE ENGAGED RUNWAY BY THE OTHER AIRCRAFT ON RUNWAY OF YAKUSHIMA AIRPORT AT 11:18 JST, OCTOBER 31, 2012 November 22, 2013 Adopted by the Japan Transport Safety Board Chairman Norihiro Goto Member Shinsuke Endoh Member Toshiyuki Ishikawa Member Sadao Tamura Member Yuki Shuto Member Keiji Tanaka SYINOPSIS <Summary of the Accident> At 11:18 JST on Wednesday, October 31, 2012, a Eurocopter AS 350 B3, registered JA35BB, operated by Noevir Aviation Co., Ltd. entered Runway 32 of Yakushima Airport to conduct a familiarization flight to Tanegashima Airport and took off from the said runway before a Bombardier DHC-8-402, registered JA849C, operated by Japan Air Commuter Co., Ltd., which had already landed vacated the runway.