Topics


Satellite Foundational Course for JPSS: SatFC-J (SHyMet Full Course Access)
The Satellite Foundational Course for JPSS (SatFC-J) is a series of short lessons focused on topics related to microwave remote sensing and Joint Polar Satellite System instruments and capabilities. Hosted by the Cooperative Institute for Research in the Atmosphere (CIRA), this resource provides access to the full set of course lessons, which were developed specifically for National Weather Service (NWS) forecasters. The lessons provide foundational training to help forecasters and decision makers maximize the utility of the U.S.’ new-generation polar-orbiting environmental satellites. The cou ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1614
Published by: The University Corporation for Atmospheric Research ; 2019
The Satellite Foundational Course for JPSS (SatFC-J) is a series of short lessons focused on topics related to microwave remote sensing and Joint Polar Satellite System instruments and capabilities. Hosted by the Cooperative Institute for Research in the Atmosphere (CIRA), this resource provides access to the full set of course lessons, which were developed specifically for National Weather Service (NWS) forecasters. The lessons provide foundational training to help forecasters and decision makers maximize the utility of the U.S.’ new-generation polar-orbiting environmental satellites. The course is intended to help learners develop and improve their understanding of the value and anticipated benefits of JPSS, including improved monitoring of meteorological, environmental, and climatological phenomena and related hazards. The full listing of lessons is accessible through the SHyMet website. [Note that NOAA personnel should access the lessons through the Commerce Learning Center (CLC).] Training developers include VISIT/SHyMet staff from the Cooperative Institutes at CIMSS and CIRA; COMET; the Cooperative Institute for Mesoscale Meteorological Studies (CIMMS); the Short-term Prediction Research and Transition Center (SPoRT); and the NWS Office of the Chief Learning Officer (OCLO).
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: Meteorology ; Observations ; Satellite ; Weather forecasting ; Precipitation ; Remote sensing ; Training ; Lesson/ Tutorial ; Satellite Skills and Knowledge for Operational Meteorologists
Add tag
No review, please log in to add yours !
Frontal Diagnosis 1
In this lesson, we start by investigating the different types of fronts that are commonly analyzed. Next, we address two different types of cold fronts: classic (stacked), and katabatic. Then, we identify the main characteristics of these frontal types and what sets them apart from each other in conceptual models and in water vapour imagery. This is the first lesson in a two part series that addresses three different types of cold fronts and how to diagnose them.
Available online: https://www.meted.ucar.edu/training_module.php?id=1619
Published by: The University Corporation for Atmospheric Research ; 2019
In this lesson, we start by investigating the different types of fronts that are commonly analyzed. Next, we address two different types of cold fronts: classic (stacked), and katabatic. Then, we identify the main characteristics of these frontal types and what sets them apart from each other in conceptual models and in water vapour imagery. This is the first lesson in a two part series that addresses three different types of cold fronts and how to diagnose them.
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 ; Lesson/ Tutorial ; Satellite Skills and Knowledge for Operational Meteorologists
Add tag
No review, please log in to add yours !
GOES-R Geostationary Lightning Mapper (GLM) North America Examples
The Geostationary Lightning Mapper (GLM) aboard the GOES-R series satellites provides continuous lightning detection from space, giving forecasters a unique tool to monitor developing thunderstorms. This 45 minute lesson introduces learners to the benefits of using GLM gridded products, primarily Flash Extent Density (FED). Learners will explore several North American convective events and use Flash Extent Density, in combination with other satellite and radar data, to diagnose convective initiation, storm intensification, and areal extent of lightning activity. Helpful hints to keep in mind w ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1601
Published by: The University Corporation for Atmospheric Research ; 2019
The Geostationary Lightning Mapper (GLM) aboard the GOES-R series satellites provides continuous lightning detection from space, giving forecasters a unique tool to monitor developing thunderstorms. This 45 minute lesson introduces learners to the benefits of using GLM gridded products, primarily Flash Extent Density (FED). Learners will explore several North American convective events and use Flash Extent Density, in combination with other satellite and radar data, to diagnose convective initiation, storm intensification, and areal extent of lightning activity. Helpful hints to keep in mind while using GLM gridded products will be discussed. Finally, learners will get a look into future GLM gridded products and their advantages.
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 ; Aeronautical Meteorological Forecaster ; Aeronautical Meteorological Observer ; Satellite Skills and Knowledge for Operational Meteorologists
Add tag
No review, please log in to add yours !
Instrumentation and Measurement of Wind
This lesson summarizes the science and techniques used to measure atmospheric wind. It presents an overview of the main sensor types for wind, including mechanical, electronic, and drifting-position sensors as well as sensors relying on impact pressure and sensors utilizing timing or Doppler shifts. The advantages and limitations of the sensor types and information about uncertainty and errors are reviewed with a focus on understanding which sensors might be best for particular applications. The lesson concludes with wind measurement applications including turbulence profiles, turbulence flux ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1603
Published by: The University Corporation for Atmospheric Research ; 2019
This lesson summarizes the science and techniques used to measure atmospheric wind. It presents an overview of the main sensor types for wind, including mechanical, electronic, and drifting-position sensors as well as sensors relying on impact pressure and sensors utilizing timing or Doppler shifts. The advantages and limitations of the sensor types and information about uncertainty and errors are reviewed with a focus on understanding which sensors might be best for particular applications. The lesson concludes with wind measurement applications including turbulence profiles, turbulence flux measurements, wind speed analysis, and variance spectra.
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: Wind ; Radiosonde ; Lesson/ Tutorial
Add tag
No review, please log in to add yours !
Introduction to Modifying NWP Output
Surface observations are usually the first place we go when trying to find mismatches between observed weather and NWP output. We'll talk in this lesson about appropriate methods for making those comparisons and build to a point where we will focus on bigger picture atmospheric processes. This is the first in a series of video lessons that introduces three different methods for modifying NWP output to add human value to forecasts.
Available online: https://www.meted.ucar.edu/training_module.php?id=1618
Published by: The University Corporation for Atmospheric Research ; 2019
Surface observations are usually the first place we go when trying to find mismatches between observed weather and NWP output. We'll talk in this lesson about appropriate methods for making those comparisons and build to a point where we will focus on bigger picture atmospheric processes. This is the first in a series of video lessons that introduces three different methods for modifying NWP output to add human value to forecasts.
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
Add tag
No review, please log in to add yours !
![]()
Scenario-Based Planning for Sea Level Change in the U.S. Using the USACE Sea Level Change Curve Calculator and Guidance
This lesson introduces tools and concepts that are essential for scenario-based planning for sea level change. The lesson guides the learner through the use of the USACE Sea Level Change Calculator to produce site-specific water-level projections. The lesson also introduces the NOAA Sea Level Rise Viewer and NOAA's Sea Level Trends website.Permalink![]()
Using Multi-hazard, Impacts-based Forecast and Warning Services
Using a heavy rain situation in Barbados, this video will demonstrate the use of Multi-hazard, Impacts-based Forecast and Warning Services. The demonstration will show an evolution of the forecast in the 3-, 2-, and 1-day lead time periods. The rainfall case is based loosely on 2018's Tropical Storm Kirk, although the name and specific details of the storm are not used.Permalink![]()
Adjusting NWP: Direct Comparison
If there were a way to make direct comparisons between satellite imagery and NWP output, that would appear to be the best possible way to find mismatches between the observed weather and NWP output. In this lesson, we'll address possible methods for making direct comparisons, starting with pseudo or synthetic satellite imagery and building to a point where we focus on a relatively unused NWP output. This is the third in a series of video lessons that introduces three different methods for modifying NWP output to add human value to forecasts. Pre-requisite Knowledge: Satellite Water Vapour Inte ...Permalink![]()
International Research Institute for Climate and Society (IRI) Trainings
International Research Institute for Climate and Society (IRI) - International Research Institute for Climate and Society (IRI)This website makes available numerous resources from IRI training events.Permalink![]()
TROP ICSU: Educational Resource for Teachers to Integrate Climate Topics across the Curriculum
We collate and curate digital/ICT-based teaching resources that integrate climate studies across the curriculum of Science, Mathematics, Social Sciences and Humanities. These teaching resources are locally rooted in their context, but globally relevant for their science.
Our innovative educational resources, with detailed step-by-step descriptions for use in regular lectures, are designed and packaged so that teachers in schools and colleges/Universities across the world can use them to introduce examples and case studies from climate science and climate change while enhancing t ...Permalink![]()
Instrumentation and Measurement of Atmospheric Humidity
This lesson provides an overview of the science and techniques related to measuring humidity, or the amount of water vapor, in Earth's atmosphere. After beginning with a review of the units used for humidity, the learner will examine the three main types of hygrometers (material, thermodynamic, and optical) and explore instruments within each of these categories. The lesson provides information about the advantages and limitations of various humidity instruments. The effects of siting, sheltering, and ventilation on humidity measurements are also addressed. The lesson is part of the Instrument ...Permalink![]()
Interpreting and Communicating EPS Guidance: Iberian Heat Wave
This 45-minute lesson briefly introduces learners to the benefits of using probabilistic forecast information to assess the weather and communicate forecast uncertainties. Learners will explore a heat wave event in Spain and practice interpreting EPS forecast products effectively to determine various forecast parameters based on lead-time. Also, learners will decide how to best communicate the potential weather threats and impacts information to local end users.Permalink![]()
Situational Awareness in The Fire Environment
Maintaining situational awareness is a crucial skill in every decision-support situation. Wildland fires that threaten populated areas have the potential to inflict devastating damage to communities and can also threaten the personnel working on the fire. This lesson introduces the Situational Awareness Cycle. Learners practice using it to continuously monitor and adapt their support strategies and decision-support information depending on the rapidly evolving wildfire conditions. The lesson also discusses a range of tools that can be used to build and maintain situational awareness.Permalink![]()
What's New in the National Blend of Models version 3.1
Intended for U.S. National Weather Service forecasters, this short video describes changes to the NWS National Blend of Models when it was updated to v3.1. These changes include: More global, mesoscale, and ensemble components; Increased spatial resolution of some components; New and improved weather elements for aviation, QPF, winter, fire, and marine weather forecasting; Significant wave height for offshore waters and the Great Lakes; Improved bias correction; MOS-like text products; Shortened NBM forecast projections delivered at 19 UTC. For an illustrated transcript, see What’s New in NBM ...Permalink![]()
Location Science Improves Everyday Life
This short video explores some of the ways that location science improves everyday life. It follows two characters, Jane and John, through the course of a typical day. Jane has a smooth trouble-free day fishing with friends, thanks in part to accurate location surveys. John, on the other hand, has an awful day traced to inaccurate surveys and out-of-date maps.Permalink