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Forecasting Aviation Convective Impacts with INSITE
The National Weather Service (NWS) has developed the INSITE tool (INtegrated Support for Impacted air-Traffic Environments) to improve NWS convective impact forecasts by providing functionality that enables forecasters to include more precise impact areas in aviation convective weather forecast products. The tool lets forecasters identify potential constraints to the National Airspace System by combining forecast weather and air-traffic data. Improved convective weather forecast products can reduce delays in air-traffic and increase efficiency in the National Airspace System (NAS). In this 45- ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1314
Published by: The University Corporation for Atmospheric Research ; 2017
The National Weather Service (NWS) has developed the INSITE tool (INtegrated Support for Impacted air-Traffic Environments) to improve NWS convective impact forecasts by providing functionality that enables forecasters to include more precise impact areas in aviation convective weather forecast products. The tool lets forecasters identify potential constraints to the National Airspace System by combining forecast weather and air-traffic data. Improved convective weather forecast products can reduce delays in air-traffic and increase efficiency in the National Airspace System (NAS). In this 45-minute lesson, we follow an approach for using INSITE from a national and a regional-level perspective. The intended audience for Forecasting Aviation Convective Impacts with INSITE includes: NWS forecasters at the Aviation Weather Center (AWC), National Aviation Meteorologists (NAMs) at the FAA’s Air Traffic Control System Command Center (ATCSCC), and Meteorologists at the 20 CONUS Center Weather Service Units (CWSUs) The domain of the INSITE tool is currently limited to CONUS, the Great Lakes, adjacent coastal waters, and nearby airspace to the north and south.
Disclaimer regarding 3rd party resources: WMO endeavours to ensure, but cannot and does not guarantee the accuracy, accessibility, integrity and timeliness of the information available on its website. WMO may make changes to the content of this website at any time without notice.
The responsibility for opinions expressed in articles, publications, studies and other contributions rests solely with their authors, and their posting on this website does not constitute an endorsement by WMO of the opinion expressed therein.
WMO shall not be liable for any damages incurred as a result of the use of its website. Please do not misuse our website.Language(s): English
Format: Digital (Standard Copyright)Tags: Weather forecasting ; Numerical weather prediction ; Convection ; Lesson/ Tutorial ; Aviation ; NWP Skills and Knowledge for Operational Meteorologists
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GOES-R Series Faculty Virtual Course: RapidScan Imaging
In this webinar recording, Dr. Dan Lindsey presents GOES-16/GOES-R 30-second and 1-minute rapid scan imagery to demonstrate unprecedented views of convection, wildfire, storm intensification, and other quickly-evolving features. GOES-16 rapid scan also enables cloud and feature tracking in and around tropical cyclones. The webinar includes examples of how rapid scan sectors may be prioritized and selected by the National Weather Service. Instructions about how to obtain and use archived data are also provided. This is a recorded webinar presented by an instructor at his home institution. Audio ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1342
Published by: The University Corporation for Atmospheric Research ; 2017
In this webinar recording, Dr. Dan Lindsey presents GOES-16/GOES-R 30-second and 1-minute rapid scan imagery to demonstrate unprecedented views of convection, wildfire, storm intensification, and other quickly-evolving features. GOES-16 rapid scan also enables cloud and feature tracking in and around tropical cyclones. The webinar includes examples of how rapid scan sectors may be prioritized and selected by the National Weather Service. Instructions about how to obtain and use archived data are also provided. This is a recorded webinar presented by an instructor at his home institution. Audio variations may exist.
Disclaimer regarding 3rd party resources: WMO endeavours to ensure, but cannot and does not guarantee the accuracy, accessibility, integrity and timeliness of the information available on its website. WMO may make changes to the content of this website at any time without notice.
The responsibility for opinions expressed in articles, publications, studies and other contributions rests solely with their authors, and their posting on this website does not constitute an endorsement by WMO of the opinion expressed therein.
WMO shall not be liable for any damages incurred as a result of the use of its website. Please do not misuse our website.Language(s): English
Format: Digital (Standard Copyright)Tags: Weather forecasting ; Convection ; Lesson/ Tutorial ; Satellite Skills and Knowledge for Operational Meteorologists
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Communicating Forecast Uncertainty, European Case
This lesson is a follow-on to COMET’s Communicating Forecast Uncertainty lesson, which introduces research findings on the effective communication of uncertainty information and enables learners to apply them to a North American case. This lesson focuses on a European winter weather case and provides an additional opportunity to evaluate end-user needs and formulate effective responses to their questions based on the research findings. Learners are strongly encouraged to take Communicating Forecast Uncertainty before starting this lesson. The lesson is aimed at experienced forecasters with kno ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1260
Published by: The University Corporation for Atmospheric Research ; 2017
This lesson is a follow-on to COMET’s Communicating Forecast Uncertainty lesson, which introduces research findings on the effective communication of uncertainty information and enables learners to apply them to a North American case. This lesson focuses on a European winter weather case and provides an additional opportunity to evaluate end-user needs and formulate effective responses to their questions based on the research findings. Learners are strongly encouraged to take Communicating Forecast Uncertainty before starting this lesson. The lesson is aimed at experienced forecasters with knowledge of mid-latitude weather regimes.
Disclaimer regarding 3rd party resources: WMO endeavours to ensure, but cannot and does not guarantee the accuracy, accessibility, integrity and timeliness of the information available on its website. WMO may make changes to the content of this website at any time without notice.
The responsibility for opinions expressed in articles, publications, studies and other contributions rests solely with their authors, and their posting on this website does not constitute an endorsement by WMO of the opinion expressed therein.
WMO shall not be liable for any damages incurred as a result of the use of its website. Please do not misuse our website.Language(s): English
Format: Digital (Standard Copyright)Tags: Weather forecasting ; Numerical weather prediction ; Forecast uncertainty ; Lesson/ Tutorial ; NWP Skills and Knowledge for Operational Meteorologists
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GOES-16 Case Exercise: 8 May 2017 Colorado Hail Event
GOES-16, the first satellite in the GOES-R series, launched in November 2016 and now provides 16 multispectral bands of satellite data, including CONUS scans every five minutes, with 0.5 kilometer visible imagery resolution and 2.0 km longwave infrared resolution. This lesson harnesses GOES-16’s increased temporal and spatial resolutions to identify convective development and intensity signatures on traditional longwave IR and visible band imagery, and compares the experience to using legacy GOES products. The lesson is geared toward early-career forecasters, those forecasters wanting more exp ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1358
Published by: The University Corporation for Atmospheric Research ; 2017
GOES-16, the first satellite in the GOES-R series, launched in November 2016 and now provides 16 multispectral bands of satellite data, including CONUS scans every five minutes, with 0.5 kilometer visible imagery resolution and 2.0 km longwave infrared resolution. This lesson harnesses GOES-16’s increased temporal and spatial resolutions to identify convective development and intensity signatures on traditional longwave IR and visible band imagery, and compares the experience to using legacy GOES products. The lesson is geared toward early-career forecasters, those forecasters wanting more experience using high-resolution satellite data to forecast convection, and will be useful to aviation forecasters, meteorology major students and instructors, and weather enthusiasts.
Disclaimer regarding 3rd party resources: WMO endeavours to ensure, but cannot and does not guarantee the accuracy, accessibility, integrity and timeliness of the information available on its website. WMO may make changes to the content of this website at any time without notice.
The responsibility for opinions expressed in articles, publications, studies and other contributions rests solely with their authors, and their posting on this website does not constitute an endorsement by WMO of the opinion expressed therein.
WMO shall not be liable for any damages incurred as a result of the use of its website. Please do not misuse our website.Language(s): English
Format: Digital (Standard Copyright)Tags: Weather forecasting ; Hail ; Remote sensing ; Convection ; Lesson/ Tutorial ; Satellite Skills and Knowledge for Operational Meteorologists
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GOES-R Series Faculty Virtual Course: Aviation Products
In this webinar recording, Amanda Terborg (with input from Dr. Chad Gravelle), will demonstrate the capabilities of GOES-R/16 in analyzing hazards affecting the aviation industry. The talk focuses specifically on four hazards (but there are others): 1) fog and low stratus, 2) in-flight turbulence, 3) dust, and 4) volcanic ash. Through the use of GOES-R/16 spectral bands, band differences, and RGB composites, satellite data users can detect the development and evolution of aviation threats better than with any previous geostationary satellites. This is a recorded webinar presented by an instruc ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1374
Published by: The University Corporation for Atmospheric Research ; 2017
In this webinar recording, Amanda Terborg (with input from Dr. Chad Gravelle), will demonstrate the capabilities of GOES-R/16 in analyzing hazards affecting the aviation industry. The talk focuses specifically on four hazards (but there are others): 1) fog and low stratus, 2) in-flight turbulence, 3) dust, and 4) volcanic ash. Through the use of GOES-R/16 spectral bands, band differences, and RGB composites, satellite data users can detect the development and evolution of aviation threats better than with any previous geostationary satellites. This is a recorded webinar presented by an instructor at her home institution. Audio variations may exist.
Disclaimer regarding 3rd party resources: WMO endeavours to ensure, but cannot and does not guarantee the accuracy, accessibility, integrity and timeliness of the information available on its website. WMO may make changes to the content of this website at any time without notice.
The responsibility for opinions expressed in articles, publications, studies and other contributions rests solely with their authors, and their posting on this website does not constitute an endorsement by WMO of the opinion expressed therein.
WMO shall not be liable for any damages incurred as a result of the use of its website. Please do not misuse our website.Language(s): English
Format: Digital (Standard Copyright)Tags: Weather forecasting ; Turbulence ; Atmospheric radiation ; Fog ; Lesson/ Tutorial ; Satellite Skills and Knowledge for Operational Meteorologists
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Limitations of High-Resolution NWP Models
This scenario-based lesson examines how the limitations of high-resolution NWP forecasts affect their analyses and forecasts of winter and severe weather, and how best to use the output in light of the limitations. The lesson is structured around a case that occurred in Texas in December 2015 when winter weather and severe weather hit Amarillo and Dallas-Ft. Worth, respectively. As users go through the case, they learn how spin-up time, errors in initial conditions, and deficiencies in the modeling of mesoscale phenomena can impact high-resolution forecasts in the NAM nest and HRRR models.Permalink![]()
EPS Products Reference Guide
The EPS Products Reference Guide provides information about nine commonly used ensemble prediction system (EPS) products. Each has a description, tips for interpreting and using it effectively, a list of its strengths and weaknesses, and practice exercises. The Guide is meant to be used as reference material and does not have a quiz.Permalink![]()
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Guidelines for Nowcasting Techniques
The purpose of the WMO nowcasting guidelines presented here is to help National Meteorological and Hydrological Services (NMHSs) by providing them with information and knowledge on how to implement a nowcasting system with the resources available to them and an understanding of the current state of science and technology.Permalink![]()
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Handbook on Use of Radio Spectrum for Meteorology : Weather, Water and Climate Monitoring and Prediction
World Meteorological Organization (WMO) ; International Telecommunication Union (ITU) - WMO, 2017 (WMO-No. 1197)The Handbook provides comprehensive technical and operational information on current observation applications and systems and on the use of radio frequencies by meteorological systems, including meteorological satellites, radiosondes, weather radars, wind profiler radars and spaceborne remote sensing instruments. It is intended for the meteorological (i.e. weather, water and climate) and radiocommunication communities, including governmental institutions, industry as well as the general public.Permalink![]()
Nowcasting for Central Europe
High-impact weather has always posed challenges for crisis management and risk prevention. Nowcasting provides very short range weather forecasts (0–6 hours) and warnings in a timely manner and in high spatial detail. It can help end users such as civil protection authorities, hydrologists and road safety services in their time-critical applications to respond, prepare and take actions for high-impact weather.1234Permalink![]()
L’avenir de l’entreprise météorologique
Alors que les incidences du temps et du climat ne cessent de s’aggraver, il importe de chercher des stratégies qui permettront de renforcer les outils scientifi ques et technologiques qui nous ont permis, au cours des quatre dernières décennies, d’améliorer sensiblement nos aptitudes en matière de prévisions et de services météorologiques. Il n’y a pas si longtemps – à l’époque où la génération du baby-boom faisait son entrée sur le marché du travail – l’échéance des prévisions exactes et fi ables du temps ne dépassait pas 24 heures. Aujourd’hui, il est normal de pouvoir compter sur la diff us ...Permalink![]()
La météo: quel avenir?
Les nouvelles sources d’observations de l’atmosphère, les supercalculateurs plus puissants et les progrès de la science ont contribué ensemble à révolutionner la prévision du temps au cours de la dernière partie du XXe siècle. À l’échelle mondiale, nous sommes désormais capables de faire cinq jours à l’avance des prévisions aussi précises que celles qui étaient produites trois jours à l’avance il y a 20 ans. Les sociétés peuvent donc aujourd’hui recevoir bien plus tôt qu’avant des alertes aux aléas météorologiques qui leurs permettent de se préparer et de limiter ainsi les pertes humaines et m ...Permalink![]()
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WIGOS Technical Report, 2016-01. AMDAR Benefits to the Air Transport Industry
This report describes and documents the benefits that the Air Transport Industry (ATI) gains from increased forecast accuracy achieved through the daily collection of atmospheric data gathered by approximately 4,000 inflight commercial aircraft. The report also outlines the Aircraft Meteorological DAta Relay (AMDAR) observing system, the forecast process and describes the importance that AMDAR data plays in numerical weather prediction (NWP).
Measuring the benefits to the ATI requires first to describe and to quantify the improved weather forecast accuracies due solely to the assimilat ...Permalink![]()
Using NWP Lightning Products in Forecasting
This lesson introduces two numerical weather prediction (NWP) lightning hazard products that forecasters can use during a convective meteorological watch and to assess lightning risk at Day 2 and beyond. The first product is the Flash Rate Density, a derived, deterministic lightning product implemented in some NCEP high-resolution NWP models. The second product, the SPC Calibrated Thunderstorm Probability, combines forecasts of measurable precipitation and favorable lightning environments determined from the Cloud Physics Thunder Parameter. Information about these products is presented in the ...Permalink![]()
SatFC-G: Basic Principles of Radiation
This lesson is an abbreviated review of the scientific basis for using visible and infrared satellite imagery. The concepts and capabilities presented are common to most geostationary (GEO) and low-Earth orbiting (LEO) meteorological satellites. Basic remote sensing and radiative theory are reviewed using conceptual models to help organize scientific concepts. Some imagery is also included to illustrate concepts and relate them to sensor observations. This lesson is a part of the NWS Satellite Foundation GOES-R Course. More in-depth information on radiation and radiative transfer can be found ...Permalink