MetEd: Meteorology Education and Training. Operated by the COMET Program

Description:
In order to help forecasters build a strategy for anticipating convective storm structures, their evolution, and the potential for severe weather, A Convective Storm Matrix provides learners the opportunity for extensive exploration of the relationship between a storm's environment and its structure.

The matrix is composed of 54 four-dimensional numerical simulations based on the interactions of 16 different hodographs and 4 thermodynamic profiles. By comparing animated displays of these simulations, learners are able to discern the influences of varying buoyancy and vertical wind shear profiles on storm structure and evolution.

A series of questions guides the exploration and helps to reveal key storm/environment relationships evident in the matrix. A synopsis of the physical processes that control storm structure, as well as the current conceptual models of key convective storms types, is included for reference.

Subject matter expects for A Convective Storm Matrix: Buoyancy/Shear Dependencies include Mr. Steve Keighton, Mr. Ed Szoke, and Dr. Morris Weisman.

Note: This module was originally published on CD-ROM in March 1996 (v1.1) and re-released in 2001 as v1.3 for Microsoft Windows users only. CD-ROM version 1.3 works fairly well with Windows 98/ME/NT4/2000 but has reported to be problematic with Windows XP. Users of version 1.1 should obtain the patch located at http://www.comet.ucar.edu/help/ModuleSupport/matrix_problem.htm or use the new, Web-based module.

Estimated time to complete: 3-4 h

Includes audio: no

Required plug-ins:   Flash RealPlayer Java Adobe® Reader®
 * Plug-in information

Last published on: 2003-04-09

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Description:
This presentation by Dr. Eve Gruntfest raises important issues of how floods and other disasters, including land-falling hurricanes and their related warnings, affect public attitudes and actions. Awareness of these social science considerations is important for persons responsible for public weather warnings as well as other types of public interaction.

Estimated time to complete: 30 min

Includes audio: yes

Required plug-ins:   Flash RealPlayer Java Adobe® Reader®
 * Plug-in information

Last published on: 2001-03-26

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Description:
The “Advanced Fire Weather Forecasters Course Orientation” module introduces the organization of the course, the topics presented, and the intended audience, as well as the motivation for converting this course to online training. This web module is part of the Advanced Fire Weather Forecasters Course..

Objectives:
At the end of this module you should be able to:
1. Describe the structure of the Advanced Fire Weather Forecasters Course and component modules.

Estimated time to complete: 15 m

Includes audio: yes

Required plug-ins:   Flash RealPlayer Java Adobe® Reader®
 * Plug-in information

Last published on: 2008-06-12

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Description:
This webcast is an expert lecture presented by Dr. Mitch Goldberg, Chief of the Satellite Meteorology and Climatology Division at NOAA/NESDIS. His presentation is divided into four sections 1) the importance of satellite observing systems, 2) a brief review of remote sensing principles, 3) results from current observing systems including AIRS, IASI, and CrIS, and 4) the importance of having hyperspectral soundings also taken from geostationary orbit. The lecture introduces listeners to what hyperspectral observations are, how they are done, some current products, and how these observations contribute to improved monitoring of atmospheric temperature, moisture, and even trace gases, environmental hazards, climate, oceans, and land. It also discusses how these data lead to improvements in numerical weather prediction.

Objectives:
After completing this module you should be able to:

• Describe the basic science behind hyperspectral observation from satellites
• Describe and contrast the capabilities of some current and future hyperspectral sounders (AIRS, IASI, and CrIS)
• Identify key environmental areas to which hyperspectral observations already contribute or will contribute
• Identify several limitations/challenges related to making hyperspectral satellite observations
• Describe the relationship between hyperspectral soundings taken in low-earth orbit and geostationary orbit

Estimated time to complete: 1 h

Includes audio: yes

Required plug-ins:   Flash RealPlayer Java Adobe® Reader®
 * Plug-in information

Last published on: 2008-10-14

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Description:
This Webcast covers the ocean surface wind retrieval process, the basics of microwave polarization as it relates to wind retrievals, and several operational examples. Information on the development of microwave sensors used to retrieve ocean surface wind speed and the ocean surface wind vector (speed and direction) is also included.

Objectives:
State some key meteorological applications for ocean surface winds

• Describe the benefits of using microwave remote sensing to observe ocean winds
• Describe the differences between active and passive microwave remote sensing
• Describe in general terms, the emission, transmission, and scattering of microwave energy within the Earth-atmosphere system
• State the key assumptions for derivation of wind speed and direction from passive observation of microwave radiation
• Describe the limitations of passive microwave remote sensing and impacts on deriving wind speed and direction (this applies to both product limits and accuracy)
• Use cloud liquid water imagery to help assess the validity of the wind speed and direction vector

Estimated time to complete: 45 min

Includes audio: yes

Required plug-ins:   Flash RealPlayer Java Adobe® Reader®
 * Plug-in information

Last published on: 2005-11-28

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Description:
The “Introduction to Ensemble Streamflow Prediction” module provides basic information on probabilistic streamflow forecasting. In this webcast, Dr. Richard Koehler, the National Hydrologic Sciences Training Coordinator for NOAA's NWS, presents information about the types of organizations that might use probabilistic streamflow forecasts as well as foundation concepts and background for ESP methods. The module begins with a brief review of hydrologic models including deterministic, stochastic, and scenario-based approaches. It then provides an overview of time-series approaches including a summary of traditional techniques such as flood frequency, flood analysis, statistical analysis, and trend analysis. Finally, the module presents the basics of ESP techniques including an explanation of its strengths, weaknesses, and appropriate application. The module also provides guidance on how to interpret ensemble forecast products.

Objectives:
Describe terminology and definitions for Ensemble Streamflow Prediction, or ESP:
- Use standard language to describe ESP.
- Explain what time series, realizations, and ensembles represent.
- Describe basic processes using output from scenario-based deterministic models and traditional streamflow analysis methods.

Describe methods and techniques used in ESP:
- Describe current modeling methods and tools used in trace plots.
- Describe product output from ESP.
- Describe use of verification of ESP products.

Estimated time to complete: 60 min

Includes audio: yes

Required plug-ins:   Flash RealPlayer Java Adobe® Reader®
 * Plug-in information

Last published on: 2007-01-30

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Description:
A course outline is available online at http://www.comet.ucar.edu/class/POES_2001/outline.htm.

Estimated time to complete: 75 min

Includes audio: yes

Required plug-ins:   Flash RealPlayer Java Adobe® Reader®
 * Plug-in information

Last published on: 2002-07-09

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Description:
This Webcast provides an overview of the EUMETSAT Polar System (EPS), Europe's first dedicated operational polar-orbiting weather satellite program. EPS contributes to the Initial Joint Polar System (IJPS) under a cooperation agreement between EUMETSAT and NOAA to provide and improve operational meteorological and environmental forecasting and global climate monitoring services worldwide. The highly innovative features implemented with EPS include high-level sounding performance and enhanced data streams that further improve the capabilities of advanced NWP systems. The Webcast takes one hour to complete.

Objectives:
After completing this Webcast, learners will be able to:

* Identify the three major disciplines to which EPS contributes.
* Describe the role of EPS within the Global Operational Satellite Observation System (GOSOS) and the Initial Joint Polar-Orbiting Operational Satellite System (IJPS).
* Describe the main differences between polar and geostationary satellites.
* Describe the EPS programme elements and how they contribute to the flow of data products.
* Identify the instruments on the Metop satellite and their primary applications.
* Describe the capabilities and anticipated benefits of the IASI hyperspectral sounder.
* Describe the main services provided by EPS.

Estimated time to complete: 1 h

Includes audio: yes

Required plug-ins:   Flash RealPlayer Java Adobe® Reader®
 * Plug-in information

Last published on: 2006-09-22

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Description:
This module includes an interactive MCS Matrix of numerical simulations illustrating the physical processes controlling MCS evolution, as well as an archive of the entire Web module, Mesoscale Convective Systems: Squall Lines and Bow Echoes.

Patterned after the CD Module A Convective Storm Matrix, the new MCS Matrix provides learners the opportunity for extensive exploration of the relationship between a MCSs environment and its structure. The matrix is composed of 21 four-dimensional numerical simulations based on the interactions of 10 different hodographs with a common thermodynamic profile. By comparing animated displays of these simulations learners are able to discern the influences of vertical wind shear and the Coriolis Force on MCS structure and evolution.

A series of questions guides the exploration and helps to reveal key storm/environment relationships evident in the matrix.

The subject matter expert for this module is Dr. Morris Weisman.

Note: This module was originally published 5/28/99 as a CD-ROM (v1.0) as dual module along with a local copy of the Web module Mesoscale Convective Systems: Squall Lines and Bow Echoes (v3.0). The CD-ROM version of An MCS Matrix (1.0) works fairly well with Windows 98/ME/NT4/2000 but has reported to be problematic with Windows XP. Windows XP Users of version 1.0 should use the new, Web-based module.

Estimated time to complete: 3-4 h

Includes audio: no

Required plug-ins:   Flash RealPlayer Java Adobe® Reader®
 * Plug-in information

Last published on: 2003-04-17

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Description:
This module describes the main elements to consider when analyzing wave model and buoy data. The module focuses on data products available from NOAA including spectral plots, maps, and text bulletins. East and West Coast wave-masking exercises conclude the module. The content in this module is an excerpt from the previously published COMET module Rip Currents: Forecasting.

Objectives:
At the end of this module, you should be able to do the following:

* Describe wave data available from the NDBC website and its limitations
* Using a spectral density plot for a buoy:
     (1) Determine the number of wave groups
     (2) Determine the peak period
* List the parameters that are determined by a wave model
* Describe a polar wave spectrum plot
* Describe the information available in a NWW3 text bulletin
* Use a polar wave spectrum plot to determine the following:
     (1) direction and period of wind waves and swell groups
     (2) number of wave/swell groups
* Use a NWW3 text bulletin to determine the following:
     (1) direction, period, and significant wave height of wind waves and swell groups
     (2) number of wave/swell groups
* Using buoy observations and wave model products determine the height and period of swell likely to strike a given coastline
* Describe what is meant by wave masking and how it might affect a surf forecast along the coast
* Using buoy observations and wave model products determine whether a wave model initialized well
* Describe the conditions under which a wave model simulation might be in error, and what errors might subsequently result

Estimated time to complete: 1 h

Includes audio: yes

Required plug-ins:   Flash RealPlayer Java Adobe® Reader®
 * Plug-in information

Last published on: 2008-08-13

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Description:
Antarctica: Challenging Forecasts for a Challenging Environment features two educational pieces. The first is the overview giving the general audience a broad look at Antarctica including some history, interesting facts, real-life experiences, climate, and the challenges inherent to this frozen continent. The second is the main presentation where experts in Antarctic research and forecasting, share their knowledge of the continent. They discuss forecasting challenges as well as present and future research topics while providing elaborations on the uniqueness in Antarctica’s location, topography, and forecasting techniques as compared to other parts of the globe.

Objectives:
1. Give the general audience a basic understanding of the uniqueness of Antarctica.
2. Give prospective Antarctic forecasters or meteorology students an understanding of the challenges in forecasting weather in Antarctica.
3. Provide students an overview of the tools used to monitor and forecast Antarctica’s weather.
4. Describe the connection of Antarctica with the rest of the earth’s climate system and the research that seeks to discover how it influences that system.

Estimated time to complete: 90 min

Includes audio: yes

Required plug-ins:   Flash RealPlayer Java Adobe® Reader®
 * Plug-in information

Last published on: 2007-08-14

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This module is not available on the Web. To order a CD, please see our contact information.

Description:
The primary purpose of the Anticipating Convective Storm Structure and evolution module is to provide forecasters a strategy for anticipating storm structures, their evolution, and the potential for severe weather, based on an understanding of the physical processes that control their development. Because convective storms develop rapidly, having the right set of expectations of what is possible and probable within the storm environment will allow forecasters to better manage their activities during a convective event.

A traditional approach to teaching about convective storms has been to discuss several classic storm types that reveal distinctive structural elements. However, these classic storm types are not the norm. In nature, thunderstorms exist along a continuous spectrum of possible structures rather than always falling into discrete categories. Storms often exhibit qualities of more than one classic type or evolve from one type into another during their life cycle. For this reason, this module examines convective storms based on the predominant physical processes involved in their development that tend to place them in a particular region of the spectrum.



Because forecasters also need to accurately monitor the evolution of convective storms in order to issue timely weather warnings and statements, this module will also demonstrate methods for monitoring storm evolution through the available data (in particular, modern radar data), based on a thorough understanding of the current conceptual models of convective storms. Numerous interactions and a set of summary exercises are included. Summary Page--Key Points to Remember are available online at http://meted.ucar.edu/convectn/mod8sumpag.pdf.



Subject matter expects for Anticipating Convective Storm Structure and Evolution include Dr. Morris Weisman, Steve Keighton, and Ed Szoke.

Estimated time to complete: 8-10 h

Includes audio: yes

Required plug-ins:   Flash RealPlayer Java Adobe® Reader®
 * Plug-in information

Last published on: 1997-04-29

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Description:
Hazardous weather affects us all. To help local emergency managers cope with weather hazards they may face, the Federal Emergency Management Agency (FEMA) and the National Oceanic and Atmospheric Administration's (NOAA) National Weather Service (NWS) offer a course titled Hazardous Weather and Flooding Preparedness. However, many people who make weather-related decisions are unable to attend this 2-3 day course.

The purpose of this Web-based course, Anticipating Hazardous Weather and Community Risk, is to provide background on weather and weather hazards for emergency managers and other decision makers. This course is intended to complement on-site courses offered by FEMA and NWS, so that they can focus on local hazards and community risk factors.

This course covers…

Weather: How and why it forms,
Hazardous weather: Fact sheets on different phenomena,
Forecasting weather: The forecast process and products issued by the NWS,
Warning Partnership: How the NWS and emergency managers generate and communicate warnings, and a
Desktop Exercise: An opportunity to apply what you have learned in a flash flood scenario.
FEMA Independent Study credit is available for those who complete the course and pass the exam. The subject matter experts for Anticipating Hazardous Weather and Community Risk are Randall C. Duncan, CEM - Sedgwick County (KS) Emergency Management, Bob Glancy - NWS, Bob Goldhammer - Polk County (IA) Emergency Management, Curt Nellis - County of Shenandoah (VA) Department of Fire and Rescue, John Ogren - NWS, and Bruce Sterling - Portsmouth (VA) Emergency Management.

Objectives:
• Explain basic processes that cause and/or signal hazardous weather
• List the main weather hazards and the factors that determine community risk
• Describe the basic weather forecasting process and its limitations
• Discuss various techniques for communicating information about weather hazards
• Distinguish which NWS forecast products are appropriate in various situations
• Analyze various source of information about a weather hazard and formulate a plan for dealing with a potential disaster

Estimated time to complete: 4-5 h

Includes audio: yes

Required plug-ins:   Flash RealPlayer Java Adobe® Reader®
 * Plug-in information

Last published on: 2001-03-08

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Description:
This module discusses how to apply various observational data and remote sensing tools such as satellite, METARS, soundings, profilers, radar, and model analyses to diagnose the potential for fog and/or low stratus. Various forecast tools (such as model forecast fields, forecast soundings, and BUFKIT) used to assess fog and/or low stratus potential onset, intensity, and duration are also examined. This module is part of the Distance Learning Course 1: Forecasting Fog and Low Stratus.

Objectives:
• Apply various observational data and remote sensing tools such as satellite, METARS, soundings, profilers, radar, and model analyses to diagnose the potential for fog and/or low stratus
• Apply various forecast tools such as model forecast fields, forecast soundings, and BUFKIT to assess fog and/or low stratus potential onset, intensity, and duration

Estimated time to complete: 3 h

Includes audio: no

Required plug-ins:   Flash RealPlayer Java Adobe® Reader®
 * Plug-in information

Last published on: 2003-06-28

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Description:
This module addresses the local and regional climatological considerations and presents tools and methodologies that can be used to assess whether atmospheric conditions can foster fog or low stratus development. Knowing your local climatology and assessing whether it supports favorable conditions for fog or low stratus development is an important step in the forecast process. A number of physical conditions that determine fog or stratus development are largely dictated by climatological restraints, as well as the synoptic pattern. This module is part of the Distance Learning Course 1: Forecasting Fog and Low Stratus.

Objectives:
Understand how climate data can be applied to the forecast process
• Understand the strength and limitations of the various types of climate data and their application to fog and stratus forecasting
• Demonstrate an ability to correctly apply climate data to fog and stratus forecasting

Estimated time to complete: 2 h

Includes audio: no

Required plug-ins:   Flash RealPlayer Java Adobe® Reader®
 * Plug-in information

Last published on: 2003-06-28

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Description:
The “Assessing Fire Danger” distance learning module explores techniques for recognizing weather and fuel conditions contributing to fire danger. The module includes a matrix of data sources offering useful weather, fuels, and other information related to fire ignition, spread, and intensity. An overview of situational awareness practices provides information relevant to forecasters in the office or field. This module is part of the Advanced Fire Weather Forecasters Course.

Objectives:
At the end of this module you should be able to:

1. Describe the fire “setup” stage and identify weather patterns that lead to fuel dryness,
2. understand fuel dryness evolution and how it relates to the National Fire Danger Rating System (NFDRS),
3. describe specific fire weather and fuel data sources that aid in determining fuel susceptibility,
4. apply situational awareness concepts to fire weather forecasting operations.

Estimated time to complete: 1 h

Includes audio: no

Required plug-ins:   Flash RealPlayer Java Adobe® Reader®
 * Plug-in information

Last published on: 2008-03-31

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Description:
In this Southern Hemisphere-focused module, the student can work through one major Australian severe thunderstorm event in detail and examine aspects of two other severe thunderstorm events as well. Follow a forecast time-line to assess data and make decisions from the pre-storm phase through the warning phase.



NOTE: The Bureau of Meteorology owns this modue, NOT the COMET Program.

Estimated time to complete: 4-6 h

Includes audio: no

Required plug-ins:   Flash RealPlayer Java Adobe® Reader®
 * Plug-in information

Last published on: 2003-04-23

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