This self-paced distance learning course introduces forecasters, students, researchers, and other interested learners to the capabilities, products, and applications anticipated with the next-generation GOES-R satellites.
The three core lessons in this course are:
- GOES-R: Benefits of Next-Generation Environmental Monitoring
- GOES-R ABI: Next Generation Satellite Imaging
- GOES-R GLM: Introduction to the Geostationary Lightning Mapper
Objetivos generales y específicosCourse Goals
The goals of this GOES-R satellites orientation course are to:
- Help learners develop or improve their understanding of the capabilities, value, and anticipated benefits from the GOES-R suite of instruments for meteorological analysis, forecasting, numerical weather prediction, and climate and environmental monitoring
- Show examples that simulate some of the many GOES-R products and their different anticipated applications, and
- Help learners understand the role of GOES-R in the global observing system for monitoring the environment
The instructional objective of this course is to enable learners to do the following:
- List the major instruments (or instrument suites) on board the GOES-R satellites and briefly describe what each is designed to provide
- List several environmental hazards and phenomena where GOES-R satellite observations are expected to benefit users
- Describe the improvements in spectral coverage, spatial resolution, and imaging intervals of the GOES-R Advanced Baseline Imager (ABI) over the previous GOES imager
- Identify the ABI's 16 spectral channels and some of the phenomena that can be detected in the spectral regions they cover
- Describe advancements that the ABI will bring to analysis, forecasting, numerical weather prediction, and climate and environmental monitoring
- Describe the capabilities of the Geostationary Lightning Mapper (GLM)
- Differentiate between how lightning is observed by space-based and ground-based detection systems
- Describe how GLM observations will help improve situational awareness and severe weather warning decision support
- Explain how GLM observations will improve warnings of impending lightning hazards
- Describe how GLM observations will benefit other application areas, such as aviation, quantitative precipitation estimation, atmospheric chemistry, tropical cyclones, fires, numerical weather prediction, and climate and global studies
Descripción generalCourse Overview
The GOES-R satellites orientation distance learning course is a series of lessons for forecasters, decision makers, students, researchers and others who have either a need or interest to know more about the U.S.’ next-generation geostationary environmental satellites. The course is intended to help learners develop or improve their understanding of the capabilities, value, and anticipated benefits from the GOES-R suite of instruments engineered for improved monitoring of meteorological, environmental, climatological, and space weather phenomena and related hazards. The course will also help prepare the learner for future exploration and use of GOES-R products in meteorological analysis and forecasting, and in other disciplines that involve environmental monitoring and prediction.
To receive a course completion certificate, you must successfully complete a minimum of the three core modules which collectively may take about 3 to 5 hours to complete.
Organización del curso
GOES-R Program Home Pagehttp://www.goes-r.govProvides information and resources on the GOES-R Program including the mission, spacecraft, instruments, products, data dissemination and access, education and outreach, meetings, media, publications and much more.
GOES-R Proving Groundhttp://www.goes-r.gov/users/proving-ground.htmlProvides information on a collaborative effort to test and evaluate simulated GOES-R products before the GOES-R satellite is launched into geostationary orbit. Partners include the GOES-R Program Office, NOAA Cooperative Institutes, a NASA center, NWS Weather Forecast Offices, NCEP National Centers, and NOAA Test Beds across the U.S.
RAMMB: RAMSDIS Online – GOES-R Proving Ground Real-time Productshttp://rammb.cira.colostate.edu/ramsdis/online/goes-r_proving_ground.aspProvides access to a selection of near real time multispectral satellite products produced to emulate capabilities of the next generation GOES-R satellites.
CIMSS/SSEC GOES-R Activities Web Sitehttp://cimss.ssec.wisc.edu/goes_r/
Contains information and links to various activities in preparation for GOES-R.
CIMSS Satellite Bloghttp://cimss.ssec.wisc.edu/goes/blog/
A collection of examples of meteorological satellite imagery and products that are available to (or created by) scientists and researchers at NOAA’s Cooperative Institute for Meteorological Satellite Studies (CIMSS), located at the University of Wisconsin – Madison’s Space Science and Engineering Center (SSEC). Interesting and/or educational satellite images including multispectral images and applications relevant to current weather events are shown and discussed.
VISIT: SHyMet for Forecasters: GOES-R 101 Training Sessionhttp://rammb.cira.colostate.edu/training/shymet/forecaster_goesr101.aspAn online training session to introduce forecasters to the capabilities of the next generation satellites starting with GOES-R.
NASA SPoRT (Short-term Prediction Research and Transition Center) Web Sitehttp://weather.msfc.nasa.gov/sport/Provides information, products, and online lessons on new observations and research for the operational weather community. Includes descriptions of activities related specifically to upcoming GOES-R ABI and GLM products and applications.
EUMETSAT Near Real-Time RGB Products Web Pagehttp://oiswww.eumetsat.org/IPPS/html/MSG/RGB/Provides access to near real time multispectral RGB products from the Meteosat geostationary satellites for a variety of meteorological applications. The site includes product descriptions and online tutorials (referred to as “Interpretation Guides”).
NASA Earth Observatory Web Sitehttp://earthobservatory.nasa.gov/Images/Provides access to multispectral imagery for global events and discoveries related to climate and the environment.