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GOES Satellite and Sensors
GOES stands for Geostationary Operational Environmental Satellite. It has a geo-synchronous orbit in that it remains over a fixed point on the earth above the equator. In order to do this, the orbit must be 36,000 km above the earth. This is in contrast to the POES or Polar-orbiting Operational Environmental Satelllites, which does not remain at a fixed point over the earth – it has a sun-synchronous orbit (follows the sun). It operates at a lower altitude of 850 km above the earth. The diagram represents some, but not all of the geostationary satellites positioned around the globe which are operated by the European community (Meteosat), the Russian Federation (GOMS) and Japan (GMS). There are also many polar orbiting satellites that are represented here by only one satellite to demonstrate the 850 km orbit. (Note the image is not drawn to scale).
You should be familiar with the first item listed under Environmental Sensing – obtaining the data, relaying it to the ground and redisseminating it. You may not be aware that the GOES satellite is tasked to do many things which help with forecasting.
This is a pictoral representation of some of the other tasks of GOES. For Environmental sensing other that the imaging and sounding capabilities that we will be focusing on shortly, there is the Space Environment Monitor. It monitors the occurrances of events on the sun that will affect the electromagnetic environment surrounding the earth. These space weather events could impact the functioning of the satellites and communications relying on satellites. In the area of data collection, the satellite relays realtime data from a variety of platforms. The Tsunameter Mooring System is pictured here.
For Data Broadcast, the GOES satellite relays distress dignals from those who are lost or need help (and have the emergency transmitters).
Because there is repeat coverage of the same location on the earth in a matter of 15 – 30 minutes during normal operating conditions, the GOES satellite is ideal for viewing the weather and it’s evolution. There are many scales of weather interaction and the GOES satellite provides the opportunity to view starting at the large scale with the full disk down to the mesoscale which we can look at with higher resolution in the visible imagery and coarser resolution in the infrared. Note the resolution is defined in reference to nadir, as if you were looking directly down to the earth at a 90 deg angle. The footprint that is viewed is larger as we go away from the equator and have larger viewing angles. It will also introduce a parallax effect which will make the top of the cloud appear at a different location than it actually is. We won’t be going into all the details about these effect right now. You will come across these concepts in other modules as the need to discuss them arises.
Ultimately what resolution – spatial and temporal – you are seeing has come about from a number of decisions of which the cost is often the greatest limiting factor. It takes a long time to plan and launch a satellite. We’re currently utilizing technology that is at least 10 years old. As will be shown in coming slides, the imager has better resolution in the horizontal (smaller spatial footprint and extensive full disk coverage) and the sounder has more detail in the vertical (more channels placed in specific wavelength regions to capture vertical detail)
Depiction of the GOES 8-12 spacecraft showing the location of the imager and sounder instruments.
Each GOES satellite has 5 channels: GOES 8-11 have channels 1-5, GOES 12 has channels 1-4 and 6. (GOES 10 and 12 are currently operational.) This was done to avoid some confusion between channel and wavelength. We generally refer to the channels by their central wavelength even though it represents a broader wavelength band. The characteristics of the channels will be reviewed in the GOES channel selection module.
The sounder instrument was designed to provide more information in the vertical. The nominal ground resolution at nadir is 10 km (coarser than the imager) and there are 18 channels to provide measurements to infer moisture and temperature in the atmosphere profile along with a visible channel to provide information on cloud top and surface features. More will be said about the sounder in a later module.
Where are the satellites located? To provide the ideal coverage over the continental US. The most useful imagery for viewing is within a 60 degree circle from the satellite subpoint. The communication range is larger (as long as you can keep a clean line of site to the satellite).
Here are the GOES east and GOES west routine scan sectors. Note the size and time it takes for the satellites to complete a scan. The satellite scans from north to south while performing scans from west to east and back again (from east to west). Due to the different areal coverage, the sectors are different between GOES east and GOES west. Both schedules are set up to give coverage over the continental US every 15 minutes (except when there is a FULL DISK image) and coverage over the N. Hemisphere every half hour. The FULL DISK scan occurs every 3 hours.
This hour of schedule is a good example of what to expect throughout the day. In terms of coverage over the CONUS, essentially there are 4 images per hour except for when there is a FULL DISK image. A FULL DISK image takes 26 minutes to complete and therefore limits the number of CONUS images to 3 per hour. For GOES west, the FULL DISK occurrs every three hours at the top of the hour: 00:00, 03:00, 06:00, 09:00, 12:00, 15:00, 18:00, 21:00. For GOES east, the FULL DISK occurs every three hours at 15 minutes to the hour: 02:45, 05:45, 08:45, 11:45, 14:45, 17:45, 20:45, 23:45. The schedule is also disrupted at the beginning of the day (00:00 hour for GOES east and 03:00 hour for GOES west) when extra time is used for spacecraft checks. See the full schedule for more details. GOES schedules
A rapid scan schedule of the satellite is called in support of environmental and operational events that warrent additional satellite imagery. This is what to expect for satellite coverage. GOES schedules
In order to get 8 images per hour over the CONUS, what is changed in the scan schedule? Differences for GOES West: the southern hemisphere sector is smaller and there is an additional smaller CONUS sector called the subconus sector. If you are along the west coast, you will notice that these subconus sectors are resopnsible for the cropped images over the Pacific during an RSO. Differences for GOES East: there is no Extended Northern Hemisphere sector and there is a much abreviated southern hemisphere sector. When there is a rapid scan, most of the Southern hemisphere/South America only gets imaged every 3 hours (during the Full Disk scan).
SRSO is the acronym for Super-Rapid Scan Operations. SRSO is a special imaging mode of the GOES satellite which is currently used for research purposes. The sector generally takes 1 minute to complete. Only two srso’s have ever been called for GOES WEST – both were for hurricanes and occurred 4-10 years ago. If there ever is an srso again, and you are along the west coast and not in the SRSO sector, like the rapid scan mode, you will notice when there is a Super Rapid Scan because the smaller subCONUS sector results in limited coverage over the Pacific. If you are in the east and you are not in the SRSO region, you may not even notice that a SRSO is occurring because CONUS coverage will be normal. The coverage during FULL DISK scans is a little variable during SRSO. See the full schedule for details. GOES schedules
The most important thing to notice is that Sounder coverage does not cover the full disk. For GOES west, the CONUS sector occurs every hour. The other sectors alternate with the CONUS sector. The most frequently scanned sector is the N. Pacific (off 2 hrs, 4 consecutive scans), then Hawaii (2 consecutive scans, off 4 hrs). The Mexico sector is not done routinely. For GOES east, the CONUS sector occurs every hour. The E. Caribbean, Gulf of Mexico, and N. Atlantic Sectors alternate with the CONUS sector: E. Caribbean (1 every 6 hrs.), N. Atlantic (1 every 6 hrs), then 4x Gulf of Mexico (off 2 hrs, on 4 hrs. except at end of day only 3 hrs.)
View from AWIPS NOAAPORT USER’s Page
In the following modules, you will learn more about the individual channels and products that are created from the GOES imager.
You will also learn more about the GOES sounder channels and the products created from them.
GOES I-M DataBook
NOAA Satellite and Information Service Satellite Services Division Look for GOES Satellite Operations
COMET program
VISIT page GOES FAQ
View from AWIPS NOAAPORT USER’s Page
The Severe Thunderstorm Forecasting and Warning Decision track of the Satellite Hydrology and Meteorology (SHyMet) Course covers satellite imagery and products useful in the operational forecasting and warning decision making process for severe thunderstorms. The course was updated in 2020 and now contains GOES-16/17 imagery and products. The course includes techniques for integrating GOES imagery with other datasets in analyzing the pre-storm environment, and the changing near-storm environment during the nowcasting to warning decision making time period. There is also a focus on signatures observed in satellite imagery that may indicate that a storm is severe. There is a session on the latest version of the NOAA/CIMSS ProbSevere product which is a tool that combines multiple datasets into one product and is useful in the nowcast to warning decision making time period. Finally, non-supercell tornadoes present a unique challenge and a session addresses the potential utility of total lightning from the GOES GLM. This course is administered through web-based instruction and consists of 8 training modules with a total run time of approximately 150 minutes, therefore expected completion time to go through the videos and take each quiz will take you roughly twice that amount of time, or about 5 hours.
If you have NOT taken the Satellite Foundational Course for GOES-R, it is recommended that you take the following modules (also all with GOES-R imagery) from the Mesoscale Features Part 1 section of that course, which includes the following lessons:
NOAA employees may register for this course on the NOAA Commerce Learning Center.
Non-NOAA employees may register by sending an email to: nws.oaa.clo.shymet AT noaa.gov
In the email, be sure to include your name. We will reply to you with setup instructions for this course.
Title | Topic | Instructor | Developed | Updated | Length (min) | WMO Sat Skill(s) |
---|---|---|---|---|---|---|
Integrating GOES Into Mesoanalysis | Severe/Sat |
Dan Bikos, Ed Szoke |
2019 |
|
25 Min |
2.1, 2.2, 2.6, 2.7, 3.3.2, 3.3.3, 3.3.4, 7.1-5 |
Storm Signatures Observed in Satellite Imagery | Severe/Sat |
Dan Bikos, Ed Szoke |
2020 |
|
15 Min |
2.2, 3.3.3, 3.3.4 |
Tracking the Elevated Mixed Layer with a new GOES-R Water Vapor Band | Severe Course |
Dan Bikos |
2015 |
2019 |
20 Min |
3.2.3, 3.3.2, 5.1.5, 7.1-5 |
Above Anvil Cirrus Plumes | Severe/Sat |
Scott Lindstorm |
2020 |
2024 |
30Min |
|
Severe Weather Applications of the GOES Split Window Difference Product | Severe/Sat |
Dan Bikos, Ed Szoke |
2019 |
2019 |
20 Min |
2.2, 3.3.2, 3.3.3, 3.3.4, 7.1-5 |
Mesoscale Convective Vortices | Severe/Sat |
Scott Lindstrom, Scott Bachmeier |
2004 |
2022 |
15 Min |
|
NOAA/CIMSS ProbSevere Product | Severe/Sat |
Scott Lindstrom |
2014 |
2019 |
45 Min |
|
Can total lightning help with warnings for non-supercell tornadoes? | Severe Course |
Ed Szoke, Dan Bikos |
2015 |
2019 |
40 Min |
|
This course was developed in the pre GOES-R era and contains dated information. Although some of the principles may still be applied in the GOES-R era, these are no longer supported training courses and are made available here as reference material. Be sure to check the link to “SHyMet Courses” for current, supported courses.
The Severe Thunderstorm Forecasting track of the Satellite Hydrology and Meteorology (SHyMet) Course covers how to integrate satellite imagery interpretation with other datasets in analyzing severe thunderstorm events. The first three sessions focus on integrating GOES imagery with other datasets in analyzing the pre-storm environment, and the changing near-storm environment during the nowcasting period. Synthetic satellite imagery is the focus of one of the training sessions as it offers a unique, integrated way to visualize model output and shows good potential as a forecasting tool. A session on predicting supercell motion is also offered since the primary focus of the course is on environments favorable for supercells, however there are other convective modes discussed. Severe thunderstorm satellite signatures are discussed in multiple training sessions. Satellite products for severe weather forecasting are addressed as well. This course is administered through web-based instruction and consists of 7 modules (8 hours) of core topics and 8 modules (4 hours) of optional topics. Course completion consists of taking all of the core modules followed by 3 or more optional modules, however you may take all of the modules if you wish.
If you wish to register for the course, send an email to: nws.oaa.clo.shymet AT noaa.gov
In the email, be sure to include your name and your office (site ID).
After you’ve registered via email, we will reply to you with setup instructions on how to signup for this course which will be delivered through the E-Learning Management System (LMS).
Core Courses:
Title | Topic | Instructor | Developed | Updated | Length (min) | WMO Sat Skill(s) |
---|---|---|---|---|---|---|
Mesoscale Analysis of Convective Weather Using GOES RSO Imagery | Archived Training |
Dan Bikos John Weaver Brian Motta |
2001 |
2010 |
|
|
Use of GOES RSO imagery with other Remote Sensor Data for Diagnosing Severe Weather across the CONUS (RSO 3) | Severe/Sat |
Dan Bikos, John Weaver, Dan Lindsey, Jim Purdom |
2003 |
2015 |
130 Min |
|
GOES Imagery for Forecasting Severe Weather | Severe/Sat |
Dan Bikos |
2008 |
|
75 Min |
|
Water Vapor Imagery Analysis for Severe Weather | Severe/Sat |
Dan Bikos, Dan Lindsey |
2010 |
|
60 Min |
|
Synthetic Imagery in Forecasting Severe Weather | Satellite Proving Ground |
Dan Bikos, Dan Lindsey |
2011 |
2015 |
|
|
Predicting Supercell Motion in Operations | Severe/Sat |
Matthew Bunkers |
2005 |
2020 |
75 Min |
|
Objective Satellite-Based Overshooting Top and Enhanced-V Anvil Thermal Couplet Signature Detection | Archived Training |
Scott Lindstrom |
2011 |
|
|
|
Optional Courses:
Title | Topic | Instructor | Developed | Updated | Length (min) | WMO Sat Skill(s) |
---|---|---|---|---|---|---|
1-minute Visible Satellite Imagery Applications for Severe Thunderstorms | Severe/Sat |
Dan Bikos |
2014 |
2015 |
22 Min |
|
NOAA/CIMSS ProbSevere Product | Severe/Sat |
Scott Lindstrom |
2014 |
2019 |
45 Min |
|
Tracking the Elevated Mixed Layer with a new GOES-R Water Vapor Band | Severe Course |
Dan Bikos |
2015 |
2019 |
20 Min |
3.2.3, 3.3.2, 5.1.5, 7.1-5 |
Can total lightning help with warnings for non-supercell tornadoes? | Severe Course |
Ed Szoke, Dan Bikos |
2015 |
2019 |
40 Min |
|
Monitoring Gulf Moisture Return | Archived Training |
Dan Bikos, Jeff Braun, John Weaver |
2005 |
|
45 Min |
|
Convective Cloud-top Cooling | Archived Training |
Scott Lindstrom |
2010 |
|
|
|
Coastal Severe Convective Weather | Severe Course |
Jeff Braun |
2011 |
|
50 Min |
|
Topographically Induced Convergence Zones and Severe Weather | Severe Course |
Jeff Braun |
2011 |
|
25 Min |
|
A series of courses dedicated to operational satellite meteorology
To prepare National Oceanic and Atmospheric Administration (NOAA) and National Weather Service (NWS) users for the latest polar orbiting and geostationary satellite data and products in the warning and forecast programs with direct links to Government Performance Results Act (GPRA) goals.
Completes end-to-end program cycle for space-based remote sensing as part of NOAA’s Strategic Plan for an Integrated Global Environmental Observation and Data Management System and Global Earth Observation System of Systems (GEOSS).
The Satellite Hydrology and Meteorology (SHyMet) Courses combine existing, new, and updated satellite training materials into a series of structured courses. The courses cover basic principles of satellite imaging and sounding, channels and products, identification of atmospheric and surface phenomena, and the integration of meteorological analysis with satellite observations and products into the weather forecasting and warning process. Advanced topics on identification of atmospheric and surface phenomena with associated case examples are also included.
A key aspect of this satellite-training program will be the linkage of new data, products, and forecasting techniques developed by NOAA’s joint centers (such as the Joint Center for Satellite Data Assimilation (JCSDA), the Short-term Prediction Research and Transition Center (SPoRT) and the many NWS National Centers) and cooperative institutes such as CIRA and Cooperative Institute for Meteorological Satellite Studies (CIMSS) to the NWS.
This course was developed in the pre GOES-R era and contains dated information. Although some of the principles may still be applied in the GOES-R era, these are no longer supported training courses and are made available here as reference material. Be sure to check the link to “SHyMet Courses” for current, supported courses.
The Tropical track of the Satellite Hydrology and Meteorology (SHyMet) Course will cover satellite imagery interpretation and application of satellite derived products in the tropics as well as the models used at NHC for tropical cyclone forecasting. There are two sessions that provide an overview of the models used by NHC in forecasting tropical cyclone track and intensity. There is a session on basic satellite interpretation in the tropics, including easterly wave identification and other forecast concerns in the tropics. Other topics include an understanding of the Dvorak method in tropical cyclone analysis, use of satellite derived products such as eTRaP for landfalling tropical cyclone rainfall prediction, VIIRS applications for tropical cyclones and Total Precipitable Water (TPW) products. An introduction to ASCAT winds is covered as well. This course will be administered through web-based instruction and will consist of approximately 6 hours of instructional content. Course completion consists of taking 7 of the 9 training modules, however you may take all of the modules if you wish. If you are unsure about which modules not to take, we recommend the eTRaP and Morphed TPW Detection (MIMIC) to be optional.
If you wish to register for the course, send an email to:
nws.oaa.clo.shymet AT noaa.gov
In the email, be sure to include your name and your office (site ID).
After you’ve registered via email, we will reply to you with setup instructions on how to signup for this course which will be delivered through the E-Learning Management System (LMS).
Title | Topic | Instructor | Developed | Updated | Length (min) | WMO Sat Skill(s) |
---|---|---|---|---|---|---|
An Overview of Tropical Cyclone Track Guidance Models used by NHC | Tropical Course |
SHyMet |
2012 |
|
60 Min |
|
An Overview of Tropical Cyclone Intensity Guidance Models used by NHC | Severe Course |
NHC |
2012 |
|
65 Min |
|
Basic Satellite Imagery Interpretation in the Tropics | Tropical/Sat |
Dan Bikos |
2010 |
|
60 Min |
|
Ensemble Tropical Rainfall Potential (eTRaP) | Tropical |
Dan Bikos |
2010 |
2013 |
18 Min |
|
Satellite Applications for Tropical Cyclones: Dvorak Technique | Forecaster Course |
SHyMet |
2009 |
|
90 Min |
|
Use of VIIRS imagery for Tropical Cyclone Forecasting | Tropical/Sat |
John Knaff, Galina Chirokova |
2015 |
|
12 Min |
|
Morphed TPW Detection (MIMIC) | Archived Training |
Scott Lindstrom |
2010 |
|
45 Min |
|
ASCAT Winds | Archived Training |
Ross Van Til |
2009 |
2010 |
34 Min |
|
Blended TPW Products | Archived Training |
Ross Van Til |
2009 |
2012 |
19 Min |
|
The primary objective of the Tropical SHyMet course is to combine various training tropics related to forecasting in the tropics into one course. The course consists of recently updated training sessions that primarily deal with use of satellite imagery and products, although there are two lessons that cover an overview of the models used at NHC in tropical cyclone forecasting. Since the training content is entirely web-based, the student may take the training whenever they wish.
We invite all forecasters to participate in the tropical SHyMet course. Individual training sessions from the tropical course may be taken (as opposed to the entire course) to review various content.
Yes. You will need to take a quiz and achieve a passing score.
Yes, you may signup for the tropical SHyMet course regardless of where you are located.
No. However, if you wish to review any content from the SHyMet for interns course, you may either take the whole interns course OR take individual training sessions from the interns course.
Yes. However, you will not receive credit for completion of the Tropical SHyMet course.
No.
The Severe Thunderstorm Forecasting track of the Satellite Hydrology and Meteorology (SHyMet) Course covers how to integrate satellite imagery interpretation with other datasets in analyzing severe thunderstorm events. The first three sessions focus on integrating GOES imagery with other datasets in analyzing the pre-storm environment, and the changing near-storm environment during the nowcasting period. Synthetic satellite imagery is the focus of one of the training sessions as it offers a unique, integrated way to visualize model output and shows good potential as a forecasting tool. A session on predicting supercell motion is also offered since the primary focus of the course is on environments favorable for supercells, however there are other convective modes discussed. Severe thunderstorm satellite signatures are discussed in multiple training sessions. Satellite products for severe weather forecasting are addressed as well. This course is administered through web-based instruction and consists of 7 modules (8 hours) of core topics and 8 modules (4 hours) of optional topics. Course completion consists of taking all of the core modules followed by 3 or more optional modules, however you may take all of the modules if you wish.
If you wish to register for the course, send an email to:
nws.oaa.clo.shymet AT noaa.gov
In the email, be sure to include your name and your office (site ID).
After you’ve registered via email, we will reply to you with setup instructions on how to signup for this course which will be delivered through the E-Learning Management System (LMS). After taking all of the lessons, we will mail you a signed SHyMet course completion certificate.
Student Guides:
Title | Topic | Instructor | Developed | Updated | Length (min) | WMO Sat Skill(s) |
---|---|---|---|---|---|---|
Mesoscale Analysis of Convective Weather Using GOES RSO Imagery | Archived Training |
Dan Bikos John Weaver Brian Motta |
2001 |
2010 |
|
|
Use of GOES RSO imagery with other Remote Sensor Data for Diagnosing Severe Weather across the CONUS (RSO 3) | Severe/Sat |
Dan Bikos, John Weaver, Dan Lindsey, Jim Purdom |
2003 |
2015 |
130 Min |
|
GOES Imagery for Forecasting Severe Weather | Severe/Sat |
Dan Bikos |
2008 |
|
75 Min |
|
Water Vapor Imagery Analysis for Severe Weather | Severe/Sat |
Dan Bikos, Dan Lindsey |
2010 |
|
60 Min |
|
Synthetic Imagery in Forecasting Severe Weather | Satellite Proving Ground |
Dan Bikos, Dan Lindsey |
2011 |
2015 |
|
|
Predicting Supercell Motion in Operations | Severe/Sat |
Matthew Bunkers |
2005 |
2020 |
75 Min |
|
Optional Courses:
Title | Topic | Instructor | Developed | Updated | Length (min) | WMO Sat Skill(s) |
---|---|---|---|---|---|---|
1-minute Visible Satellite Imagery Applications for Severe Thunderstorms | Severe/Sat |
Dan Bikos |
2014 |
2015 |
22 Min |
|
NOAA/CIMSS ProbSevere Product | Severe/Sat |
Scott Lindstrom |
2014 |
2019 |
45 Min |
|
Tracking the Elevated Mixed Layer with a new GOES-R Water Vapor Band | Severe Course |
Dan Bikos |
2015 |
2019 |
20 Min |
3.2.3, 3.3.2, 5.1.5, 7.1-5 |
Can total lightning help with warnings for non-supercell tornadoes? | Severe Course |
Ed Szoke, Dan Bikos |
2015 |
2019 |
40 Min |
|
Monitoring Gulf Moisture Return | Archived Training |
Dan Bikos, Jeff Braun, John Weaver |
2005 |
|
45 Min |
|
Convective Cloud-top Cooling | Archived Training |
Scott Lindstrom |
2010 |
|
|
|
Coastal Severe Convective Weather | Severe Course |
Jeff Braun |
2011 |
|
50 Min |
|
Topographically Induced Convergence Zones and Severe Weather | Severe Course |
Jeff Braun |
2011 |
|
25 Min |
|
The primary objective of the SHyMet course for Severe Thunderstorm Forecasting is to combine various training tropics related to forecasting severe thunderstorms into one course. The course consists of VISIT training sessions, some that have been offered in the past, others that have been developed more recently. A major objective of this course is learning to identify different air masses and boundaries with GOES visible imagery and other observational data. This includes the pre-storm environment during the forecasting period and monitoring the changing environment during the nowcasting period. Cases over different parts of the CONUS will be analyzed, including coastal events and events where topography played a key role. Other topics include use of GOES and synthetic IR and water vapor imagery in forecasting severe weather events, forecasting supercell motion, monitoring moisture return from the Gulf of Mexico and understanding various satellite related products. Since the training content is entirely web-based, the student may take the training whenever they wish.
We invite all forecasters to participate in the Severe Thunderstorm Forecasting SHyMet course. Individual training sessions may be taken (as opposed to the entire course) to review various content. Also, if you’ve taken some of the training sessions in the past, you do not need to take them over again. Your existing training record on the LMS can be examined to see which courses you may have already completed in the past.
1. Identify different air masses and boundaries with GOES visible imagery and other observational data in the pre-storm envrionment and for monitoring the changing environment during the nowcasting period.
2. Learn how to use IR and water vapor imagery from GOES and model dervied synthetic imagery in forecasting severe weather events.
3. Identify severe thunderstorm satellite signatures.
4. Understand the use of various satellite related products used in severe thunderstorm forecasting.
5. Learn about other related severe weather topics such as forecasting supercell motion, monitoring moisture return from the Gulf of Mexico and understand the role of various topographic effects.
No. Your existing training record on the LMS can be examined to see which courses you may have already completed in the past. If you recognize the content from a teletraining session you took a while ago, you do not need to go through the whole training session again, you may complete the quiz.
The first 5 sessions need to be taken in order. The rest have no set order to them.
No, however if you are at a WFO and would like to go through the WES cases, let us know and we will provide you with instructions.
No. However, if you wish to review any content from the SHyMet for interns course, you may either take the whole interns course OR take individual training sessions from the interns course.
Yes. Many forecasters change location more than once during their career. You may move south one day and the information will be helpful. Besides this, you may come across a product that may be helpful for you in your area.
Yes. However, you will not receive for credit for completion of the SHyMet: Severe Thunderstorm Forecasting course.
Yes.
JPSS-1 launched on 18 November 2017 and has been designated NOAA-20. The National Weather Service (NWS) Satellite Foundational Course for JPSS (SatFC-J) is now available and contains 13 short training modules to bring forecasters, the scientific community, and others up-to-date on the capabilities of the JPSS/NOAA-20 satellite. The SatFC-J course was designed by the National Weather Service satellite training advisory team (STAT) which consists of science operations officers from five regions, satellite liaisons, and representatives from the NWS Office of the Chief Learning Officer (OCLO). Training developers included the Cooperative Institute for Research in the Atmosphere (CIRA), the Cooperative Institute for Meteorological Satellite Studies (CIMSS), COMET, the Short-term Prediction Research and Transition Center (SPoRT),and OCLO.
The JPSS satellite series introduces a variety of new and improved capabilities compared to previous NOAA satellites. The objective of this course is to address training needs associated with this next generation satellite. Specifically, topics will include an introduction to microwave remote sensing as well as improvements in the infrared imagers and sounders that address a broad range of applications. Highlights include improved precipitation applications and atmospheric temperature and moisture retrievals for real time applications and input to numerical models. The intended audience is forecasters but anyone is welcome to participate.
If you are a NOAA employee, register for this course via the NOAA/NWS Commerce Learn Center.
For non-NOAA users taking the SHyMet version, register for the course by sending an email containing your name to: nws.oaa.clo.shymet AT noaa.gov
Be sure to indicate you are registering for the SatFC-J course.
After you’ve registered via email, we will reply to you with setup instructions on how to complete the course. After taking all of the lessons you will need to pass a quiz for each course section. The expected completion time of taking the entire course (which includes all the modules, quiz completion and orientation) is 6 to 8 hours.
SatFC-J course orientation (expected completion time 30 minutes)
A series of proof of concept videos are available for this course. These are not training modules for the course, rather, they serve as optional supplemental information to the SatFC-J course with the intent of demonstrating the utility of JPSS data and products in operational forecasting.
Click the column heading at the top to reorder the columns – double click to switch ascending titles to descending.
Title | Topic | Instructor | Developed | Updated | Length (min) | WMO Sat Skill(s) |
---|---|---|---|---|---|---|
Introduction to Microwave Remote Sensing | Sat FC-J |
CIRA |
2018 |
|
25 Min |
|
Oxygen and Water Vapor Absorption Bands | Sat FC-J |
CIRA |
2018 |
|
30 Min |
|
Microwave Surface Emissivity | Sat FC-J |
CIRA |
2018 |
|
25 Min |
|
Influence of Clouds and Precipitation | Sat FC-J |
CIRA |
2018 |
|
25 Min |
|
Orbits and Data Availability |
Dills (COMET) |
2018 |
|
20 Min |
|
|
The VIIRS Imager |
Lee (COMET), Dills (COMET) |
2018 |
|
35 Min |
|
|
The CrIS and ATMS Sounders |
Dills (COMET) |
2018 |
|
45 Min |
|
|
The AMSR2 Microwave Imager |
Lee (COMET), Dills (COMET) |
2018 |
|
30 Min |
|
|
NASA GPM Overview | Sat FC-J |
SPoRT |
2018 |
|
25 Min |
|
Uses of VIIRS Imagery | Sat FC-J |
Scott Lindstrom |
2018 |
|
25 Min |
|
The VIIRS Day / Night Band |
Lee (COMET), Dills (COMET) |
2018 |
|
25 Min |
|
|
NUCAPS Soundings | Sat FC-J |
Scott Lindstrom |
2018 |
|
20 Min |
|
Impact of Satellite Observations on NWP |
COMET |
2017 |
|
30 Min |
|
The JPSS satellite series will introduce a variety of new and improved capabilities compared to previous NOAA satellites. The objective of this course is to address training needs associated with this next generation of polar orbiting satellites. Specifically, topics will include an introduction to JPSS highlighting improved spatial and temporal resolution and additional new channels that will be available followed by products and imagery that address a broad range of applications. The intended audience is forecasters but anyone is welcome to participate. Since the training content is entirely web-based, the student may take the training whenever they wish.
1. Provide a general introduction to microwave remote sensing.
2. Learn about the importance of oxygen and water vapor absorption regions in the microwave spectrum as related to obtaining temperature and moisture profiles.
3. Learn about microwave surface emissivity and how it relates to characterization of different surfaces across the Earth.
4. Understand how microwave sensors provide moisture, cloud properties and precipitation information against different surface backgrounds.
5. Describe relative orbits of various low earth orbiting satellites and understand the implications on product coverage and availability.
6. Describe relative orbits of various low earth orbiting satellites and understand the implications on product coverage and availability.
7. Understand some aspects of the VIIRS imager, including imaging strategy, resolution, spectral bands and key applications.
8. Understand the capabilities of the CrIS and ATMS Sounder instruments and identify key products.
9. Understand the capabilities of the AMSR2 microwave imager instrument and identify key products.
10. Describe key features of the GPM mission and its data products and explain their potential impact on forecast operations.
11. Explore a variety of VIIRS imagery applications.
12. Describe the utility of the Day Night Band and derived Near-Constant Contrast products
13. Understand how NUCAPS soundings are obtained, data coverage, availability and forecasting applications
14. Describe the impact of satellite observatoins on NWP analyses and forecasts
NOAA employees should take the SatFC-J course via the NOAA Commerce Learn Center (CLC) so that they receive training credit on the CLC.
Yes. The orientation module should be taken first. After the orientation, the Introduction to Microwave Remote Sensing section modules should be taken in order before any of the other modules since they serve as background material.
Yes. However, you will not receive credit for completion of the SHyMet: SatFC-J course. We are unable to provide training credit for an individual module / lesson.
Around 6 to 8 hours. This includes additional time beyond just the length of the video associated with each module to include time for comprehension, time to complete the quizzes and time to take the course orientation. This estimate does not include time to view the optional proof of concept videos.
GOES-R launched on 19 November 2016 and is now in geostationary orbit and has been designated GOES-16. The National Weather Service (NWS) Satellite Foundation Course for GOES-R/16 (SatFC-G) is now available and contains 37 short training modules to bring forecasters, the scientific community, and others up-to-date on the capabilities of the GOES-R/GOES-16 satellite. The SatFC-G course was designed by the National Weather Service satellite training advisory team (STAT) which consists of science operations officers from five regions, satellite liaisons, and representatives from the NWS Office of the Chief Learning Officer (OCLO). Training developers included the Cooperative Institute for Research in the Atmosphere (CIRA), the Cooperative Institute for Meteorological Satellite Studies (CIMSS), COMET, the Short-term Prediction Research and Transition Center (SPoRT), the Cooperative Institute for Mesoscale Meteorological Studies (CIMMS),and OCLO.
The GOES-R/16 satellite introduces a variety of new and improved capabilities compared to previous GOES satellites. The objective of this course is to address training needs associated with this next generation satellite. Specifically, topics will include an introduction to GOES-R/16 highlighting improved spatial and temporal resolution and additional new channels that will be available followed by products and imagery that address a broad range of applications. The intended audience is forecasters but anyone is welcome to participate.
If you are a NOAA employee, register for this course via the NOAA/NWS Commerce Learn Center.
Non-NOAA employees may take the SHyMet version of the course, your first step is to register for the course by sending an email containing your name to: nws.oaa.clo.shymet AT noaa.gov
Be sure to indicate you are registering for the SatFC-G course.
After you’ve registered via email, we will reply to you with setup instructions on how to complete the course. The expected completion time of taking the entire course (which includes all the modules, quiz completion and orientation) is 15 to 20 hours. After taking all of the lessons you will need to pass a quiz for each course section.
SatFC-G course orientation (estimated completion time = 40 minutes).
Title | Topic | Instructor | Developed | Updated | Length (min) | WMO Sat Skill(s) |
---|---|---|---|---|---|---|
Basic Principles of Radiation |
COMET |
2016 |
2018 |
45 Min |
|
|
Basic Operations of ABI on GOES-R | Sat FC-G |
Scott Lindstrom, Tim Schmit, Mat Gunshor |
2016 |
2018 |
15 Min |
|
GOES-R ABI Visible and Near-IR Bands |
COMET |
2016 |
2018 |
15 Min |
|
|
GOES-R ABI Near-IR Bands |
COMET |
2016 |
2018 |
30 Min |
|
|
GOES-R ABI IR Bands, Excluding Water Vapor |
COMET |
2016 |
2018 |
45 Min |
|
|
GOES-R Multi-channel interpretation approaches | Sat FC-G |
Scott Lindstrom |
2016 |
2018 |
30 Min |
|
GOES-R Aerosols in AWIPS | Sat FC-G |
Scott Lindstrom, Shobha Kondragunta, Amy Huff |
2016 |
2018 |
10 Min |
|
GOES-R Cloud and microphysical products, fog and low stratus | Sat FC-G |
Scott Lindstrom, Andy Heidinger, Michael Pavolonis, Patrick Minnis, Andi Walther |
2016 |
2018 |
15 Min |
|
GOES-R Fire characterization, land surface temperature and snow | Sat FC-G |
Scott Lindstrom |
2016 |
2018 |
10 Min |
|
GOES-R Baseline Product: Rainfall rate | Sat FC-G |
Dan Bikos, Bob Kuligowski |
2016 |
|
10 Min |
|
GOES-R Derived Motion Winds | Sat FC-G |
Scot Lindstrom, Scott Bachmeier |
2016 |
2018 |
10 Min |
|
GOES-R Volcanic Ash Product | Sat FC-G |
Scott Lindstrom, Michael Pavolonis, Justin Sieglaff |
2016 |
2018 |
10 Min |
|
Introduction to the GLM |
COMET |
2016 |
2019 |
45 Min |
|
|
Visualizing the Geostationary Lightning Mapper (GLM) in AWIPS | GLM |
Geoffrey Stano |
2016 |
|
10 Min |
|
GOES-R Introduction to Mesoscale and Synoptic Sections | Sat FC-G |
Dan Bikos |
2016 |
2018 |
10 Min |
|
GOES-R Pre-convective cloud features | Sat FC-G |
Dan Bikos |
2016 |
|
10 Min |
|
GOES-R Boundary-forced convection | Sat FC-G |
Dan Bikos |
2016 |
2018 |
10 Min |
|
GOES-R Mountain waves and orographic enhancement | Sat FC-G |
Dan Bikos |
2016 |
2018 |
10 Min |
|
GOES-R Fog / Low clouds: Formation and dissipation | Mesoscale |
Scott Lindstrom |
2016 |
2018 |
10 Min |
|
GOES-R Marine and polar mesolows | Sat FC-G |
Dan Bikos |
2016 |
2018 |
10 Min |
|
GOES-R Cumulus growth | Sat FC-G |
Dan Bikos |
2016 |
2018 |
10 Min |
|
GOES-R Discrete Storms | Sat FC-G |
Dan Bikos |
2016 |
2018 |
20 Min |
|
GOES-R Mesoscale Convective Systems | Sat FC-G |
Dan Bikos |
2016 |
2018 |
10 Min |
|
GOES-R Cyclogenesis Potential Vorticity Concepts | Sat FC-G |
Scott Lindstorm, Scott Bachmeier |
2016 |
2018 |
10 Min |
|
GOES-R Cyclogenesis life cycle | Sat FC-G |
Dan Bikos, Ed Szoke |
2016 |
2018 |
20 Min |
|
GOES-R TROWAL Formation | Sat FC-G |
Scott Lindstorm |
2016 |
2018 |
10 Min |
|
GOES-R Low-level jet features | Sat FC-G |
Dan Bikos |
2016 |
2018 |
10 Min |
|
GOES-R General Circulation Patterns | Sat FC-G |
Ed Szoke, Dan Bikos |
2016 |
2018 |
10 Min |
|
GOES-R Atmospheric Rivers | Sat FC-G |
Ed Szoke, Dan Bikos |
2016 |
2018 |
10 Min |
|
GOES-R Tropical to Extratropical Transition |
COMET |
2016 |
2018 |
15 Min |
|
|
GOES-R Impacts on Satellite Data Assimilation |
COMET |
2016 |
2018 |
15 Min |
|
|
Impact of Satellite Observations on NWP |
COMET |
2017 |
|
30 Min |
|
|
Comparing NWP Synthetic / Simulated Satellite Imagery to Observed Satellite Imagery | Sat FC-G |
Dan Bikos, Dan Lindsey, Lewis Grasso |
2016 |
2018 |
10 Min |
|
GOES-R ABI Water Vapor Bands | Sat FC-G |
Dan Bikos, Ed Szoke |
2016 |
2018 |
25 Min |
|
GOES-R Pre-convective environment | Sat FC-G |
Dan Bikos, Chris Gitro, Erin Dagg |
2016 |
2018 |
15 Min |
|
An Orientation to the GOES-R Foundational Course | Sat FC-G |
James LaDue, Anthony Mostek, Bill Ward |
2016 |
|
20 Min |
|
GOES-R Legacy Atmospheric Profiles | Sat FC-G |
Scott Lindstrom, Jun Li, Zhenglong Li, Yong-Keun Lee |
2016 |
2018 |
10 Min |
|
The GOES-R satellite will introduce a variety of new and improved capabilities compared to previous GOES satellites. The objective of this course is to address training needs associated with the new GOES-R satellite. Specifically, topics will include an introduction to GOES-R highlighting improved spatial and temporal resolution and additional new channels that will be available followed by products and imagery that address a broad range of applications. The intended audience is forecasters but anyone is welcome to participate. Since the training content is entirely web-based, the student may take the training whenever they wish.
NOAA employees should take the SatFC-G course via the NOAA Commerce Learn Center (CLC) so that they receive training credit on the CLC. In addition, there are WES simulations available for SatFC-G offered on the NOAA CLC.
Yes. The modules in the Introduction section should be completed first, in order given on the table. The GOES-R Introduction to Mesoscale and Synoptic Sections module should be taken before any of the modules in the mesoscale, convection or synoptic sections since it introduces those sections. Ignore any reference to WES simulations as that only applies to NOAA employees who take the course via the NOAA CLC
Yes. However, you will not receive credit for completion of the SHyMet: SatFC-G course. We can provide a quiz for a section of modules (for example, convection section), and this would allow you to get credit for that section. However, completion of the introduction section would be required before receiving credit for an additional section. We are unable to provide training credit for an individual module / lesson.
This course was developed in the pre GOES-R era and contains dated information. Although some of the principles may still be applied in the GOES-R era, these are no longer supported training courses and are made available here as reference material. Be sure to check the link to “SHyMet Courses” for current, supported courses.
The Intern track of the Satellite Hydrology and Meteorology (SHyMet) Course will touch on Geostationary and Polar orbiting satellite basics (areal coverage and image frequency), identification of atmospheric and surface phenomena, and provide examples of the integration of meteorological techniques with satellite observing capabilities. This course will be administered through web-based instruction and will be the equivalent of 16 hours of training. Initially the Intern Track was targeted for NWS interns. It is now open to anyone inside or outside of NOAA who wishes to review the “basics” of satellite meteorology.
If you wish to register for the course, send an email to:
nws.oaa.clo.shymet AT noaa.gov
In the email, be sure to include your name and your office (site ID).
After you’ve registered via email, we will reply to you with setup instructions on how to signup for this course which will be delivered through the E-Learning Management System (LMS).
Click the column heading at the top to reorder the columns – double click to switch ascending titles to descending.
Title | Topic | Instructor | Developed | Updated | Length (min) | WMO Sat Skill(s) |
---|---|---|---|---|---|---|
SHyMet Intern Orientation | Intern Course |
SHyMet |
2020 |
|
|
|
GOES Imaging and Sounding area coverage, resolution, and image frequency | Archived Training |
Bernie Connell |
2005 |
|
30 Min |
|
Satellite Meteorology: GOES Channel Selection | Intern Course |
COMET |
2002 |
|
180 Min |
|
Polar Satellite Products for the Operational Forecaster: Introduction | Intern Course |
COMET |
2001 |
|
|
|
GOES Sounder Data and Products | Archived Training |
Scott Lindstrom, Scott Bachmeier |
2006 |
2015 |
30 Min |
|
Click the column heading at the top to reorder the columns – double click to switch ascending titles to descending.
Title | Topic | Instructor | Developed | Updated | Length (min) | WMO Sat Skill(s) |
---|---|---|---|---|---|---|
Introduction to satellite interpretation for severe weather | Intern Course |
Dan Bikos, Jeff Braun |
2006 |
|
|
|
Satellite Applications to Tropical Cyclones | Intern Course |
Ray Zehr, Mark DeMaria |
2006 |
|
|
|
GOES High Density Winds | Archived Training |
Scott Bachmeier |
2005 |
2006 |
60 Min |
|
Cyclogenesis: Analysis Utilizing Geostationary Satellite Imagery | Winter / Sat |
Dan Bikos, John Weaver, Roger Weldon, Toby Carlson, David Vallee |
2002 |
|
75 Min |
|
Click the column heading at the top to reorder the columns – double click to switch ascending titles to descending.
Title | Topic | Instructor | Developed | Updated | Length (min) | WMO Sat Skill(s) |
---|---|---|---|---|---|---|
Basic Review of Satellite Foundational Topics | Satellite |
Scott Lindstrom, Eric Lenning |
2017 |
|
10 Min |
|
The primary objective is to ensure that the intern is familiar with the satellite imagery and products available on AWIPS. The course is intended to provide a basic background of GOES and POES imagery, feature identification for various image channels and products and the significance of such.
Yes. Except for the SHyMet Orientation lesson (1.), you will need to take a quiz and pass it (70% is the minimum passing grade for any quiz).
Yes. Many forecasters change location more than once during their career. You may move south one day and the information will be helpful. Besides this, you may come across a product that may be helpful for you in your area.
Yes. However, you will not receive for credit for completion of the SHyMet intern course and will not be able to access the teletraining sessions.
No. However, it’s highly recommended that you take section 1 (Understanding satellite imagery) before you take section 2 (Applications and case examples) and finish with Satellite Analysis of Tropical Cyclones.
The original idea of SHyMet was a full course (see here). Due to budget constraints, the first course was targeted towards interns and focused on satellite meteorology. In the future, as the course expands, hydrology will be included.
The course is now open to everyone inside or outside of NOAA. If you are within NOAA, you will get agency credit and it will be tracked through the LMS.
Yes, you can take the course if you are not a NOAA employee. You will not get college credit, but we can send you a certificate upon completion of the quizes.
When you are done with a particular lesson, email us at:
nws.oaa.clo.shymet AT noaa.gov
We will reply back to you with a quiz and evaluation form. We must get a completed quiz back from you for each lesson to be eligible for a certificate of completion. The passing grade on each quiz is 70%.
This course was developed in the pre GOES-R era and contains dated information. Although some of the principles may still be applied in the GOES-R era, these are no longer supported training courses and are made available here as reference material. Be sure to check the link to “SHyMet Courses” for current, supported courses.
The Forecaster track of the Satellite Hydrology and Meteorology (SHyMet) Course will cover satellite imagery interpretation, including feature identification, water vapor channels and what to expect on future satellites. There is a session on remote sensing applications for hydrometeorology, this includes uses of remote sensing data for operational hydrology. There is also a session on aviation hazards such as volcanic ash, fog, dust etc. Other topics include an understanding of the Dvorak method in tropical cyclone analysis and the utility of cloud climatologies in forecasting. This course will be administered through web-based instruction and will consist of 9 hours of core topics and 3 hours of optional topics.
If you wish to register for the course, send an email to:
nws.oaa.clo.shymet AT noaa.gov
In the email, be sure to include your name and your office (site ID).
After you’ve registered via email, we will reply to you with setup instructions on how to signup for this course which will be delivered through the E-Learning Management System (LMS). After taking all of the lessons, we will mail you a signed SHyMet course completion certificate.
Click the column heading at the top to reorder the columns – double click to switch ascending titles to descending.
Title | Topic | Instructor | Developed | Updated | Length (min) | WMO Sat Skill(s) |
---|---|---|---|---|---|---|
Introduction to Remote Sensing for Hydrology |
SHyMet |
2008 |
2011 |
60 Min |
|
|
Interpreting Satellite Signatures | Archived Training |
Scott Lindstrom, Scott Bachmeier |
2008 |
2009 |
45 Min |
|
Aviation Hazards | Aviation/Satellite |
Jeff Braun |
2009 |
2011 |
180 Min |
|
Water Vapor Channels | Forecaster Course |
SHyMet |
2009 |
|
60 Min |
|
GOES-R 101 | Forecaster Course |
SHyMet |
2020 |
|
90 Min |
|
Click the column heading at the top to reorder the columns – double click to switch ascending titles to descending.
Title | Topic | Instructor | Developed | Updated | Length (min) | WMO Sat Skill(s) |
---|---|---|---|---|---|---|
Volcanoes and Volcanic Ash Part 1 | Aviation/Satellite |
Jeff Braun, Jeff Osiensky |
2010 |
|
140 Min |
|
Volcanoes and Volcanic Ash Part 2 | Aviation/Satellite |
Jeff Braun, Jeff Osiensky |
2011 |
|
90 Min |
|
Regional Satellite Cloud Composites from GOES | Archived Training |
Bernie Connell |
2010 |
|
50 Min |
|
The primary objective of the SHyMet for forecasters course is to build upon previous basic building blocks offered in the SHyMet for interns course. The level of difficulty is generally greater than that for the SHyMet for interns course, also, there is a diverse set of training topics.
Although the SHyMet for forecasters course builds off ideas covered in the SHyMet for interns course, the interns course is NOT a prerequisite to this course. We invite all forecasters to participate in the forecasters course. Individual training sessions from the interns course may be taken (as opposed to the entire course) to review various content.
Yes. You will need to take a quiz and achieve a passing score.
No. However, if you wish to review any content from the SHyMet for interns course, you may either take the whole interns course OR take individual training sessions from the interns course.
Yes. Many forecasters change location more than once during their career. You may move south one day and the information will be helpful. Besides this, you may come across a product that may be helpful for you in your area.
Yes. However, you will not receive for credit for completion of the SHyMet for Forecasters course.
No.
One of the sessions in this course is titled “Introduction to Remote Sensing for Hydrology”. This is geared for forecasters to give them some basic understanding of how remote sensing techniques are used in hydrology. In the future, there will be an entire course for hydrologists (“SHyMet for Hydrologists”).
The course is open to everyone inside or outside of NOAA. If you are within NOAA, you will get agency credit and it will be tracked through the LMS.
Yes
This course will be delivered through the E-Learning Management System (LMS). Be sure to register with us first before signing up for the learning path within the LMS, go to the Introduction link for registration.
This course will be delivered through the E-Learning Management System (LMS). Be sure to register with us first before signing up for the learning path within the LMS, go to the Introduction link for registration.
Click the column heading at the top to reorder the columns – double click to switch ascending titles to descending.
Title | Topic | Instructor | Developed | Updated | Length (min) | WMO Sat Skill(s) |
---|---|---|---|---|---|---|
SHyMet Intern Orientation | Intern Course |
SHyMet |
2020 |
|
|
|
GOES Imaging and Sounding area coverage, resolution, and image frequency | Archived Training |
Bernie Connell |
2005 |
|
30 Min |
|
Satellite Meteorology: GOES Channel Selection | Intern Course |
COMET |
2002 |
|
180 Min |
|
Polar Satellite Products for the Operational Forecaster: Introduction | Intern Course |
COMET |
2001 |
|
|
|
GOES Sounder Data and Products | Archived Training |
Scott Lindstrom, Scott Bachmeier |
2006 |
2015 |
30 Min |
|
Click the column heading at the top to reorder the columns – double click to switch ascending titles to descending.
Title | Topic | Instructor | Developed | Updated | Length (min) | WMO Sat Skill(s) |
---|---|---|---|---|---|---|
Introduction to Remote Sensing for Hydrology |
SHyMet |
2008 |
2011 |
60 Min |
|
|
Interpreting Satellite Signatures | Archived Training |
Scott Lindstrom, Scott Bachmeier |
2008 |
2009 |
45 Min |
|
Satellite Applications for Tropical Cyclones: Dvorak Technique | Forecaster Course |
SHyMet |
2009 |
|
90 Min |
|
Aviation Hazards | Aviation/Satellite |
Jeff Braun |
2009 |
2011 |
180 Min |
|
Water Vapor Channels | Forecaster Course |
SHyMet |
2009 |
|
60 Min |
|
Click the column heading at the top to reorder the columns – double click to switch ascending titles to descending.
Title | Topic | Instructor | Developed | Updated | Length (min) | WMO Sat Skill(s) |
---|---|---|---|---|---|---|
GOES High Density Winds | Archived Training |
Scott Bachmeier |
2005 |
2006 |
60 Min |
|
Cyclogenesis: Analysis Utilizing Geostationary Satellite Imagery | Winter / Sat |
Dan Bikos, John Weaver, Roger Weldon, Toby Carlson, David Vallee |
2002 |
|
75 Min |
|
Introduction to satellite interpretation for severe weather | Intern Course |
Dan Bikos, Jeff Braun |
2006 |
|
|
|
Satellite Applications to Tropical Cyclones | Intern Course |
Ray Zehr, Mark DeMaria |
2006 |
|
|
|
Click the column heading at the top to reorder the columns – double click to switch ascending titles to descending.
Title | Topic | Instructor | Developed | Updated | Length (min) | WMO Sat Skill(s) |
---|---|---|---|---|---|---|
Regional Satellite Cloud Composites from GOES | Archived Training |
Bernie Connell |
2010 |
|
50 Min |
|
Volcanoes and Volcanic Ash Part 1 | Aviation/Satellite |
Jeff Braun, Jeff Osiensky |
2010 |
|
140 Min |
|
All SHyMet audio playback format training sessions are available upon request on DVD.
To request a DVD of all SHyMet audio playback files, just send an email to
nws.oaa.clo.shymet AT noaa.gov
include your name, which SHyMet course(s) you need and mailing address for the DVD.