Twenty Five Years of NCAR Dropsondes in Service to Science and Operations
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Kentucky Mesonet Weather Station Moves to Ephram White Park
Home / News https://www.bgdailynews.com/news/kentucky-mesonet-weather-station-moves-to-ephram-white- park/article_5c142169-496b-5905-90c0-fb3ac31cfab0.html Kentucky Mesonet weather station moves to Ephram White Park By AARON MUDD [email protected] 9 min ago A Kentucky Mesonet weather station was recently relocated to Warren County’s Ephram White Park from its previous location near the General Motors Bowling Green Assembly Plant. Submitted photo courtesy of WKU Visitors to Ephram White Park might notice a new feature – a Kentucky Mesonet weather station has been relocated to the park from its previous location near the General Motors Corvette plant. Stuart Foster, director of the Kentucky Mesonet and the Kentucky Climate Center, said the move comes after the station was damaged during a lightning strike. He said the new location shouldn’t afect forecasting in the area. On the contrary, the real- time weather information the station ofers could become even more valuable in its new location at the park at 885 Mount Olivet Road. “With the growing population, nearby schools and industrial park, we felt it was important to keep coverage in that area so we worked with Chris Kummer and Warren County Parks and Recreation and partnered with them on the site at Ephram White Park,” Foster said in a news release. Part of a statewide network of 71 stations in 69 counties, the Mesonet station collects real- time data on temperature, precipitation, humidity, barometric pressure, solar radiation, soil moisture, soil temperature, wind speed and direction. That data is transmitted to the Kentucky Climate Center at WKU every fve minutes, 24 hours a day throughout the year, and is available online at kymesonet.org. -
Evolution of NOAA's Observing System Integrated Analysis (NOSIA)
Evolution of NOAA’s Observing System Integrated Analysis (NOSIA) Presented to the 13th Symposium on Societal Applications: Policy, Research and Practice (paper 9.1) Louis Cantrell Jr., and D. Helms, R. C. Reining, A. Pratt, B. Priest, and V. Ries 98th Annual Meeting American Meteorological Society Austin, Texas Overview 1 How NOSIA Informs Portfolio Decision Making 2 How NOSIA is Evolving Observing System Portfolio Management 3 System Engineering Measure of Effectiveness Each point on the Efficient Frontier represents an optimum Portfolio of Observing Programs within a Constrained Budget utcomes) O Measure of Effectiveness Measure Effectiveness of (MoE: Cost 4 Capability Improvement Prioritization NOAA Emerging Technologies for Observations Workshop Sponsored by the NOAA Observing Systems Council August 22-23, 2017 - NCWCP Identifying Capability Improvements for the Greatest NOAA -wide Benefit ▪ National Water Level Observation Network ▪ Tropical Atmosphere Ocean Buoy Ocean Profiles ▪ Commercial Fisheries Dependent Data Surveys ▪ ARGO ▪ Integrated Ocean Observing System Regionals ▪ Animal Borne Sensors ▪ National Observer Program (NOP) ▪ Drifting Buoy Network ▪ NEXRAD Precipitation Products ▪ Program-funded Habitat Surveys ▪ Coastal Weather Buoys Atmospheric Surface Observations ▪ Recreational Fish Surveys ▪ Historical Habitat Databases ▪ Chartered Vessels Research ▪ NWS Upper Air Soundings ▪ Coastal-Marine Automated Network ▪ GOES Imagery ▪ NERR_SWMP ▪ Automated Weather Observing System ▪ Global Ocean Observing System Carbon Network -
Weather Station Handbook
PART 2A. MANUAL WEATHER STATIONS: MEASUREMENTS; INSTRUMENTS This portion of the handbook focuses on manual 5. Mechanical wind counte r equipped with a timer wea ther station instru ments and thei r operational fea (Forester IO-Minute Wind Counter), or other suitable tures. The individual chapters first define and describe read out device, such as the Forester (Haytronics) Total the weather elements or parameters that are measured izing Wind Counter. The counter enables measurement at fire-weather an d other stations. of average windspeed in miles per hour. The generator Observers with a basic understanding of weather in an emometers mentione-d above have a n electronic accu struments, and wha t the measurements re present, are mulator or odomete r that can give a digital readout of better prepared toward obtaining accurate wea ther data. IO-minute average windspeed. They will be better able to recognize an erroneous rea ding 6. Wind direction system-including wind vane and or defective instrumen t. Similarly, persona assigned the remote readout device. Again, no particular model has task will be more likely to properly install and maintai n been adopted as the standard. the instrume nts. 7. Nonrecording ("stick") rai n gauge, with support; In addition. a n increased understandin g of the instru gauge has 8-inch diameter and may be either large capac ments may bring greater satisfaction to what might other ity type or Fores t Service type. Measuri ng stick gives wise become a routine, mechan ical task. An understand rainfall in hundred ths of an inch. ing of the weather elements and processe s may further 8. -
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 -
National Data Buoy Center Command Briefing for Marine Technology Society Oceans in Action
National Data Buoy Center Command Briefing For Marine Technology Society Oceans in Action August 21, 2014 Helmut H. Portmann, Director National Data Buoy Center To provide• a real-time, end-to-end capability beginning with the collection of marine atmospheric and oceanographic data and ending with its transmission, quality control and distribution. NDBC Weather Forecast Offices/ IOOS Partners Tsunami Warning & other NOAA River Forecast Centers Platforms Centers observations MADIS NWS Global NDBC Telecommunication Mission Control System (GTS) Center NWS/NCEP Emergency Managers Oil & Gas Platforms HF Radars Public NOAA NESDIS (NCDC, NODC, NGDC) DATA COLLECTION DATA DELIVERY NDBC Organization National Weather Service Office of Operational Systems NDBC Director SRQA Office 40 Full-time Civilians (NWS) Mission Control Operations Engineering Support Services Mission Mission Information Field Production Technology Logistics and Business Control Support Technology Operations Engineering Development Facilities Services Center Engineering 1 NOAA Corps Officer U.S. Coast Guard Liaison Office – 1 Lt & 4 CWO Bos’ns NDBC Technical Support Contract –90 Contractors Pacific Architects and Engineers (PAE) National Data Buoy Center NDBC is a cradle to grave operation - It begins with requirements and engineering design, then continues through purchasing, fabrication, integration, testing, logistics, deployment and maintenance, and then with observations ingest, processing, analysis, distribution in real time NDBC’s Ocean Observing Networks Wx DART Weather -
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 ....................................................................................................... -
The Impacts on Flow by Hydrological Model with NEXRAD Data: a Case Study on a Small Watershed in Texas, USA Taesoo Lee*
Journal of the Korean Geographical Society, Vol. 46, No. 2, 2011(168~180) The Impacts on Flow by Hydrological Model with NEXRAD Data: A Case Study on a small Watershed in Texas, USA Taesoo Lee* 레이더 강수량 데이터가 수문모델링에서 수량에 미치는 영향 -미국 텍사스의 한 유역을 사례로- 이태수* Abstract:The accuracy of rainfall data for a hydrological modeling study is important. NEXRAD (Next Generation Radar) rainfall data estimated by WRS-88D (Weather Surveillance Radar - 1988 Doppler) radar system has advantages of its finer spatial and temporal resolution. In this study, NEXRAD rainfall data was tested and compared with conventional weather station data using the previously calibrated SWAT (Soil and Water Assessment Tool) model to identify local storms and to analyze the impacts on hydrology. The previous study used NEXRAD data from the year of 2000 and the NEXRAD data was substituted with weather station data in the model simulation in this study. In a selected watershed and a selected year (2006), rainfall data between two datasets showed discrepancies mainly due to the distance between weather station and study area. The largest difference between two datasets was 94.5 mm (NEXRAD was larger) and 71.6 mm (weather station was larger) respectively. The differences indicate that either recorded rainfalls were occurred mostly out of the study area or local storms only in the study area. The flow output from the study area was also compared with observed data, and modeled flow agreed much better when the simulation used NEXRAD data. Key Words : Local storm, NEXRAD, Radar, Rainfall, SWAT 요약:강수량 데이터의 정확성은 수리모델링에서 중요하다. -
Vaisala Jon Tarleton Road & Rail Marketing Manager [email protected] Twitter @Jontarleton
Vaisala Jon Tarleton Road & Rail Marketing Manager [email protected] twitter @jontarleton Things you might not know about us… Page 2 / 07-17-13/ Road Weather Management 2013/ ©Vaisala Vaisala Inc. the U.S. subsidiary employs over 330 people in offices located in Colorado, Massachusetts, At our world headquarters (Helsinki, Finland) Arizona, Missouri, and Minnesota. the sun rose today at 4:25am and will set at 10:26pm (loosing 4 min of daylight a day). Vaisala service personnel travel 30 miles via Snowcat in Wyoming to reach AWOS sites at mountain passes. Vaisala’s WMT700 is the only approved ultrasonic wind sensor for Federal AWOS systems. Our NLDN turned 30 years old last month! (National Lightning Detection Network) which detected 702,501,649 lightning flashes in 30 years. Vaisala Dropsonde is used by hurricane hunter aircraft to collect storm data.. A drop from 20,000 feet lasts 7 minutes. Page 3 / 07-17-13/ Road Weather Management 2013/ ©Vaisala Vaisala HMP155 sensor is located on the Mars Curiosity and has been recording humidity information for the past year. Page 4 / 07-17-13/ Road Weather Management 2013/ ©Vaisala Your Weather Technology Experts Non-intrusive Expert Sensors Consultation Open Architecture Mobile Weather Page 5 / 07-17-13/ Road Weather Management 2013/ ©Vaisala Winter Maintenance Operations Performance Measurement Mobile Weather Station Idaho Transportation Department worked with Vaisala West Virginia DOT, Idaho Trans. Dept., and the City of to develop multiple performance indexes to measure West Des Moines, Iowa, are a few examples of crew effectiveness and traffic flow. Index agencies that tested the Condition Patrol mobile measurements begin with using the quantitative system during the winter of 2012-13. -
NCEP Synergy Meeting Highlights: March 27, 2017
NCEP Synergy Meeting Highlights: March 27, 2017 This meeting was led by Mark Klein (WPC) and attended by Steven Earle (NCO); Glenn White (GCWMB); Israel Jirak (SPC); Mike Brennan (NHC) Scott Scallion (MDL); Brian Miretsky (ER); Jack Settelmaier (SR); Andy Edman (WR); John Eise (CR), and Curtis Alexander (ESRL). 1. NOTES FROM NCO (Steven Earle) RTMA/URMA - Implementation delayed until May 2 http://www.nws.noaa.gov/os/notification/scn17-17rtma_urma.htm LMP/GLMP - Implementation scheduled for 3/29 http://www.nws.noaa.gov/os/notification/scn17-22lamp_glmpaaa.htm ECMWF-MOS - Implementation tentatively scheduled for 3/30; Likely to delay at least a week. Internal NWS only NHC Guidance Suite (NHC only) - Scheduled implementation in mid-May http://www.nws.noaa.gov/os/notification/pns17-09chghurche77removal.htm ESTOFS-Atlantic - Feedback due by COB today with implementation April 25 http://www.nws.noaa.gov/os/notification/scn17-34extratropical.htm NWM - 30-day IT stability test scheduled to begin today. Implementation scheduled for early May. SCN to be released soon. GFS - 30-day IT stability test scheduled to begin in May; Implementation scheduled for mid-June. SCN will be released in early May. CMAQ - CONUS only upgrade. Evaluation and IT stability test expected to start at the end of April PETSS/ETSS - NCO began work on the upgrade; Evaluation and IT stability expected to start in early May 2. NOTES FROM EMC 2a. Global Climate and Weather Modeling Branch (GCWMB) (Glenn White): The Office of the Director has approved the implementation of the GFS NEMS. The 30-day IT test is now scheduled for May and implementation is scheduled for mid-June. -
Glossary of Fire Weather Terms
2021 Arkansas Fire Weather Operating Plan National Weather Service Forecast Office Little Rock, Arkansas 1 2021 Arkansas Fire Weather Operating Plan National Weather Service Forecast Office – Little Rock 8400 Remount Road North Little Rock, AR 72118 Joseph C Goudsward - Senior Forecaster Incident Meteorologist (IMET) 2 Table of Contents Chapter Page Introduction 4 Important Changes 6 General Information 7 Role of the National Weather Service 8 Red Flag Program 10 Basic vs. Special Services 11 Forecast Products 14 Spot Forecasts 31 NFDRS Forecasts 43 Update Policy 48 NWS Offices and Responsibilities 49 Appendices #1 Wildland Fire terminology 61 #2 Southern Region Contacts and IMETs 79 #3 Arkansas Fire Weather Zones 82 #4 National Fire Plan 83 #5 Fire weather Links 88 #6 NFDRS Sites 89 #7 Contact Information 90 #8 Forecast Products 97 3 Introduction This document is the latest Arkansas Fire Weather Operating Plan. It serves to consolidate the fire weather services provided by National Weather Service (NWS) offices covering the state. The purpose of this operating plan can be broken down into three distinct areas. The first is to consolidate all the fire weather services provided by the five NWS offices covering the state of Arkansas. The second purpose is to describe the services available to all land management agencies in Arkansas. The final purpose is to provide information and guidelines to the forecasting staff at the five NWS offices to ensure that consistent information is given to their customers. Customers of NWS fire weather products and services in Arkansas must understand that the products and policies contained within may differ slightly based on local policy and procedure. -
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.