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Mesoscale Model Components of the National Blend of Models Version 3.0
The National Weather Service National Blend of Models (NBM) was updated to version 3.0 on 27 July 2017. Changes include: Eight new components for the contiguous U.S. (CONUS) and Alaska, including four deterministic models, two ensemble systems, and two post-processed statistical components Five new components for Hawaii and Puerto Rico Expanded forecast domains for the CONUS and Alaska A “Time of Day” (ToD), rather than NWP model, initial time concept Hourly NBM forecasts, with short, day 2-4, and extended forecasts Updated NBM guidance available 50-60 minutes after hourly run time New weather ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1375
Published by: The University Corporation for Atmospheric Research ; 2018
The National Weather Service National Blend of Models (NBM) was updated to version 3.0 on 27 July 2017. Changes include: Eight new components for the contiguous U.S. (CONUS) and Alaska, including four deterministic models, two ensemble systems, and two post-processed statistical components Five new components for Hawaii and Puerto Rico Expanded forecast domains for the CONUS and Alaska A “Time of Day” (ToD), rather than NWP model, initial time concept Hourly NBM forecasts, with short, day 2-4, and extended forecasts Updated NBM guidance available 50-60 minutes after hourly run time New weather elements for aviation and winter weather forecasting including precipitation type; and new QPF, cloud bases, ceilings, and visibilities New computation methods for wind direction and doubling of model components for ocean winds NBM v3.0 products have different characteristics from the previous v2.0. Coupled with the new “ToD” paradigm and new weather elements, the new NBM v3.0 results in big changes to forecast operations. This lesson starts with a five-minute video that describes these changes. Then to illustrate how forecast operations will be affected, we follow forecasters through important parts of a day shift, using NBM products to predict a winter storm.
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 ; Mesoscale ; Numerical weather prediction ; Lesson/ Tutorial ; Aviation ; NWP Skills and Knowledge for Operational Meteorologists
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GOES-R Series Faculty Virtual Course: Multispectral RGB Composites
In this webinar recording Dr. Emily Berndt and Dr. Michael Folmer discuss the capabilities of the GOES-R/16 Red-Green-Blue (RGB) composites. Multispectral or RGB composites are qualitative, false color images designed to enhance specific features in the atmosphere that are important to forecasters, aviators, mariners, and emergency response officials. RGB composites have been enthusiastically integrated into forecast operations because of their ability to highlight the presence and evolution of important forecast phenomena. This presentation details the development of RGB composites and provid ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1380
Published by: The University Corporation for Atmospheric Research ; 2017
In this webinar recording Dr. Emily Berndt and Dr. Michael Folmer discuss the capabilities of the GOES-R/16 Red-Green-Blue (RGB) composites. Multispectral or RGB composites are qualitative, false color images designed to enhance specific features in the atmosphere that are important to forecasters, aviators, mariners, and emergency response officials. RGB composites have been enthusiastically integrated into forecast operations because of their ability to highlight the presence and evolution of important forecast phenomena. This presentation details the development of RGB composites and provide examples of RGB use for atmospheric dust, volcanic ash, cyclogenesis, air mass characteristics, fog, and low clouds. This is a recorded webinar presented by instructors at their home institutions. 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 ; Fog ; Lesson/ Tutorial ; Aviation ; Satellite Skills and Knowledge for Operational Meteorologists
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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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Predicting Convective Cessation for Aviation Forecasters
This module introduces aviation forecasters to a conceptual framework for analyzing, diagnosing and predicting convective cessation and resulting conditions near airports. Users will first learn about five main environments with respect to convection, and three patterns in which these environments are commonly arranged. Next, users are immersed into an adjustable-time case simulator to practice applying the convective environment frameworks to their forecast process, while periodically amending TAFs and responding to warning, storm report and caller interruptions. Finally, a case summary ties ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1139
Published by: The University Corporation for Atmospheric Research ; 2016
This module introduces aviation forecasters to a conceptual framework for analyzing, diagnosing and predicting convective cessation and resulting conditions near airports. Users will first learn about five main environments with respect to convection, and three patterns in which these environments are commonly arranged. Next, users are immersed into an adjustable-time case simulator to practice applying the convective environment frameworks to their forecast process, while periodically amending TAFs and responding to warning, storm report and caller interruptions. Finally, a case summary ties together convective environment discussions with verification of the event.
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 ; Mesoscale ; Radar meteorology ; Turbulence ; Convection ; Lesson/ Tutorial ; Aviation ; Radar Skills and Knowledge for Operational Meteorologists
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Introduction to Aircraft Meteorological Data Relay (AMDAR)
Introduction to Aircraft Meteorological Data Relay (AMDAR) provides national meteorological services worldwide, airlines, and aviation organizations with information about the World Meteorological Organization (WMO) aircraft-based observing system. The audience includes meteorological service managers and providers, observational development groups, the aviation industry, and others interested in benefiting from an aircraft-based observing system in their region. The content includes interviews with several experts to provide examples of AMDAR use for both meteorological and aviation applicati ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1114
Published by: The University Corporation for Atmospheric Research ; 2014
Introduction to Aircraft Meteorological Data Relay (AMDAR) provides national meteorological services worldwide, airlines, and aviation organizations with information about the World Meteorological Organization (WMO) aircraft-based observing system. The audience includes meteorological service managers and providers, observational development groups, the aviation industry, and others interested in benefiting from an aircraft-based observing system in their region. The content includes interviews with several experts to provide examples of AMDAR use for both meteorological and aviation applications. Additional details about the systems and requirements for implementing AMDAR are also included.
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 ; Meteorology ; Weather forecasting ; Numerical weather prediction ; Turbulence ; Lesson/ Tutorial ; Aviation ; NWP Skills and Knowledge for Operational Meteorologists
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Introduction to Aircraft Meteorological Data Relay (AMDAR)
Introduction to Aircraft Meteorological Data Relay (AMDAR) provides national meteorological services worldwide, airlines, and aviation organizations with information about the World Meteorological Organization (WMO) aircraft-based observing system. The audience includes meteorological service managers and providers, observational development groups, the aviation industry, and others interested in benefiting from an aircraft-based observing system in their region. The content includes interviews with several experts to provide examples of AMDAR use for both meteorological and aviation applications. Additional details about the systems and requirements for implementing AMDAR are also included.
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Writing TAFs for Ceilings and Visibility, Africa Edition
Writing TAFs for Ceilings and Visibility, Africa Edition outlines the processes for developing an effective Terminal Aerodrome Forecast (TAF) that meets International Civil Aviation Organization (ICAO) guidelines. Geared specifically to forecasters in Africa, the lesson includes a case study for an event impacting Cape Town International Airport to provide practice applying the processes to real-life forecast situations.
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Tropical Fog: A Look at Fog That Impacts Aviation in Guyana
This module applies concepts covered in the module, Fog: Its Processes and Impacts to Aviation. It examines the fog processes at a tropical location: Guyana. A basic overview of the main fog types is provided, and then a detailed analysis is done for a representative fog event at the Cheddi Jagan International Airport in Guyana. Conclusions are made about fog processes in Guyana which can then be applied to forecasting for aviation impacts.
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Weather Decision Support for the National Airspace System
This three-hour lesson describes the impacts of weather on aviation operations and highlights the role of the National Weather Service (NWS) in supporting the Federal Aviation Administration's air traffic management organization. The lesson contains an Introduction (40 min), several cases (10-20 min each) focused on various weather phenomena, and a detailed case (35 min) allowing forecasters to follow the planning for and evolution of an event. The content emphasizes best practices for aviation forecasters, including identifying and communicating the threat, understanding partners' needs, and ...
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Space Weather Impacts on Aviation
Space Weather Impacts on Aviation examines the effects of solar flares, coronal mass ejections, and other solar phenomena on aviation operations. The lesson builds on background science knowledge taught in the course prerequisite, Space Weather Basics, 2nd Edition. The content gives aviation forecasters and others an overview of the information and products available from NOAA's Space Weather Prediction Center and provides practice interpreting and using those products for decision support during space weather events.
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Writing Effective TAFs in the Caribbean
The module reviews the fundamental steps for writing a Terminal Aerodrome Forecast (TAF) using guidelines and recommendations developed by the World Meteorological Organization (WMO) and the International Civil Aviation Organization (ICAO). This module outlines effective forecast methodologies to develop TAFs that represent the expected conditions that aviation customers can use to make operational decisions and minimize unnecessary costs. The module walks users through the process of analysis of satellite, surface, and observational data to create a TAF forecast for an airport in the Caribbea ...
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SO2 and BrO observation in the plume of the Eyjafjallajökull volcano 2010: CARIBIC and GOME-2 retrievals
Atmospheric Chemistry and Physics (ACP), Vol. 11. N° 3. Heue K.-P.; Brenninkmeijer C.A.M.; Baker A.K.; et al. - Copernicus GmbH, 2011The ash cloud of the Eyjafjallajökull (also referred to as: Eyjafjalla (e.g. Schumann et al., 2011), Eyjafjöll or Eyjafjoll (e.g. Ansmann et al., 2010)) volcano on Iceland caused closure of large parts of European airspace in April and May 2010. For the validation and improvement of the European volcanic ash forecast models several research flights were performed. Also the CARIBIC (Civil Aircraft for the Regular Investigation of the atmosphere Based on an Instrument Container) flying laboratory, which routinely measures at cruise altitude (≈11 km) performed three dedicated measurements flights ...
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Volcanic Ash: Introduction
Provides a concise introduction to volcanic ash through the examples of the Mt. Pinatubo and Eyjafjallajökull eruptions. This is the introduction to a four-part series on Volcanic Ash.
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Volcanic Ash: Volcanism
This module is the second in the four-part Volcanic Ash series. It provides information about the geological, and geophysical processes related to volcanic activity and volcanic ash in the atmosphere and on the ground. It discusses four types of volcanic eruptions and describes six major volcanic hazards: Tephra Pyroclastic flow Lahar Lava flow Volcanic gas Tsunami
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Writing TAFS for Ceilings and Visibility
"Writing TAFs for Ceilings and Visibility" is the fifth unit in the Distance Learning Aviation Course 2 (DLAC2) series on producing TAFs that meet the needs of the aviation community. In addition to providing information about tools for diagnosing low ceilings and reduced in visibility and its related impacts, the module extends the Practically Perfect TAF (PPTAF) process to address an airport's operational thresholds. By understanding the thresholds at airports for which they produce TAFs, forecasters will be better able to produce a PPTAF. The unit also examines how to communicate effectivel ...
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