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GOES-R Series Faculty Virtual Course: Geostationary Lightning Mapper
In this webinar recording Scott Rudlosky and Geoffrey Stano discuss and demonstrate the capabilities of the GOES-R/16 Geostationary Lightning Mapper (GLM) in both operational and research applications. You will learn how the GLM, the first lightning mapper in geostationary orbit, differs from land-based lightning detection. The presenters summarize important processes known as lightning events, group, flashes, and lightning jumps and show products that illustrate the location and areal extent of lightning, and its evolution in cloud systems. With this information you should be able to integrat ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1381
Published by: The University Corporation for Atmospheric Research ; 2017
In this webinar recording Scott Rudlosky and Geoffrey Stano discuss and demonstrate the capabilities of the GOES-R/16 Geostationary Lightning Mapper (GLM) in both operational and research applications. You will learn how the GLM, the first lightning mapper in geostationary orbit, differs from land-based lightning detection. The presenters summarize important processes known as lightning events, group, flashes, and lightning jumps and show products that illustrate the location and areal extent of lightning, and its evolution in cloud systems. With this information you should be able to integrate lightning data into studies about storm type and evolution, lightning safety, lightning climatology, multi-sensor products, wildfire initiation, and more. 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 ; Convection ; Lesson/ Tutorial ; Satellite Skills and Knowledge for Operational Meteorologists
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GOES-R Series Faculty Virtual Course: Severe Storms
In this webinar recording, Michael Bowlan explains how GOES-R/16 can help improve forecasts of severe storms and provide forecasters with real-time information about lightning, flooding potential and other hazards. The high-resolution Advanced Baseline Imager (ABI) data can indicate whether thunderstorm updrafts are gathering strength or weakening, helping aid forecasters in making warning decisions. The ABI can also aid in identifying storms and convective complexes that have stalled or are “training”, which can signal a flood risk and help forecasters issue flood or flash flood warnings soon ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1370
Published by: The University Corporation for Atmospheric Research ; 2017
In this webinar recording, Michael Bowlan explains how GOES-R/16 can help improve forecasts of severe storms and provide forecasters with real-time information about lightning, flooding potential and other hazards. The high-resolution Advanced Baseline Imager (ABI) data can indicate whether thunderstorm updrafts are gathering strength or weakening, helping aid forecasters in making warning decisions. The ABI can also aid in identifying storms and convective complexes that have stalled or are “training”, which can signal a flood risk and help forecasters issue flood or flash flood warnings sooner. Lightning data provided by the Geostationary Lightning Mapper (GLM) will help forecasters and fire analysts identify areas prone to wildfires sparked by lightning, as well as give insight into a storm’s severe potential. 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 ; Atmospheric radiation ; Remote sensing ; Lesson/ Tutorial ; Satellite Skills and Knowledge for Operational Meteorologists
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GOES-R Series Faculty Virtual Course: Tropical Cyclones
In this webinar recording, Andrea Schumacher demonstrates the GOES-R series' new capabilities for real-time tropical cyclone analysis and monitoring, which will contribute significantly to improved hurricane track and intensity forecasts. The GOES-16 imager will provide dramatic new views of tropical cyclone phenomena, offering vastly improved time and spatial resolution as well as color composite images to enhance cloud bands and other features. This webinar will also explore the role of the Geostationary Lightning Mapper (GLM) in helping identify areas of strong thunderstorms associated with ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1311
Published by: The University Corporation for Atmospheric Research ; 2017
In this webinar recording, Andrea Schumacher demonstrates the GOES-R series' new capabilities for real-time tropical cyclone analysis and monitoring, which will contribute significantly to improved hurricane track and intensity forecasts. The GOES-16 imager will provide dramatic new views of tropical cyclone phenomena, offering vastly improved time and spatial resolution as well as color composite images to enhance cloud bands and other features. This webinar will also explore the role of the Geostationary Lightning Mapper (GLM) in helping identify areas of strong thunderstorms associated with tropical cyclone intensification. 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 ; Atmospheric radiation ; Remote sensing ; Lesson/ Tutorial ; Satellite Skills and Knowledge for Operational Meteorologists
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Web-Based Ensemble Tools: Ensemble Situational Awareness Table
The National Weather Service (NWS) Western Region (WR) has developed a Ensemble Situational Awareness Table (ESAT), which uses probabilistic NWP to bring attention to the potential for extreme events, especially in middle-range forecasts. The lesson, which is the first of two on the ESAT, describes the ESAT and how its data can be used to support assessment of extreme weather event forecasts. Additionally, statistical methods, including employment of reanalysis and NWP model climatologies (R-Climate and M-Climate, respectively) are described in reference to the products available in the ESAT.
Available online: https://www.meted.ucar.edu/training_module.php?id=1341
Published by: The University Corporation for Atmospheric Research ; 2017
The National Weather Service (NWS) Western Region (WR) has developed a Ensemble Situational Awareness Table (ESAT), which uses probabilistic NWP to bring attention to the potential for extreme events, especially in middle-range forecasts. The lesson, which is the first of two on the ESAT, describes the ESAT and how its data can be used to support assessment of extreme weather event forecasts. Additionally, statistical methods, including employment of reanalysis and NWP model climatologies (R-Climate and M-Climate, respectively) are described in reference to the products available in the ESAT.
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 ; Lesson/ Tutorial ; 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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Using Climatology in Forecasting Convection in West and Central Africa
This case-study lesson provides an opportunity to apply the information in the ASMET lesson “Satellite-Derived Climatology Products for Monitoring Convection Over West and Central Africa” to a case that occurred over West and Central Africa in June 2014. It demonstrates how to integrate climatology information with satellite, global instability indices (GII), and NWP data when convection is forecast to occur.Permalink![]()
GOES-R Series Faculty Virtual Course: Advanced Baseline Imager
In this webinar recording, Tim Schmit demonstrates the improved temporal, spatial, spectral and calibration attributes of the Advanced Baseline Imager (ABI) on the GOES-R series. The main uses for each of the sixteen spectral bands will be covered, using examples from the recently launched GOES-16 ABI. Imagery and data loops for various types of atmospheric phenomena will be presented to illustrate the improved spectral capabilities and higher temporal and spatial resolution of the ABI. This is a recorded webinar presented by an instructor at his home institution. Audio variations may exist.Permalink![]()
GOES-R Launch Workshop for Broadcast Meteorologists, November 2016
This lesson consists of presentations by nine professionals from NOAA and NASA recorded at the GOES-R Workshop for Broadcast Meteorologists at Kennedy Space Center. The workshop was offered by StormCenter Communications, Inc. in partnership with the COMET Program in conjunction with the November 2016 GOES-R launch. These presentations introduce broadcast meteorologists to the new capabilities of this next-generation weather satellite and cover topics including new instrumentation and data available via the GOES-R series, and how the imagery will improve forecasting. After completing this lesso ...Permalink![]()
Advances in Space-Based Nighttime Visible Observation, 2nd Edition
This updated one-hour lesson explores the types of atmospheric and surface features that can be observed at night. It describes recent technical improvements in nighttime visible imaging with the VIIRS Day/Night Band on board the Suomi NPP and JPSS satellites, and the lunar phases and other conditions necessary for effective nighttime visible imaging. This lays the foundation for the rest of the lesson, which explores operational uses of nighttime visible observations. These include the detection and monitoring of city lights, tropical cyclones, fog and stratus, polar nights, auroras, fires an ...Permalink![]()
Introduction to EPS Theory
This lesson introduces the concepts needed to understand and use ensemble prediction system (EPS) products. It describes basic statistical quantities and methods used to develop EPS products, such as probability distribution functions (PDFs) and cumulative distribution functions (CDFs). From there, it discusses ways of using EPS products compared to deterministic products. The final section briefly introduces nine common EPS products. The lesson is a prerequisite for the EPS Products Reference Guide.Permalink![]()
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- ...Permalink![]()
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 ...Permalink![]()
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 ...Permalink![]()
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 ...Permalink![]()
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 ...Permalink![]()
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