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The Forecast Process: Using the Forecast Funnel
This lesson was developed by meteorologist, Dr. Mick Pope, with sponsorship from the Australian Bureau of Meteorology (BoM). The lesson is a somewhat broad-brush review of the overall forecast process, but with specific application of the forecast funnel approach as used by Australia's Bureau of Meteorology (BoM). The forecast process components include decision support and communication, use of numerical weather prediction, and applying the forecast funnel approach. The forecast funnel is described in detail, along with the forecaster time pyramid, and it is applied using a BoM forecast polic ...
Available online: https://www.meted.ucar.edu/training_module.php?id=10004
Published by: The University Corporation for Atmospheric Research ; 2019
This lesson was developed by meteorologist, Dr. Mick Pope, with sponsorship from the Australian Bureau of Meteorology (BoM). The lesson is a somewhat broad-brush review of the overall forecast process, but with specific application of the forecast funnel approach as used by Australia's Bureau of Meteorology (BoM). The forecast process components include decision support and communication, use of numerical weather prediction, and applying the forecast funnel approach. The forecast funnel is described in detail, along with the forecaster time pyramid, and it is applied using a BoM forecast policy example.
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 ; North Atlantic Oscillation (NAO) ; Jet stream ; Rossby Waves ; Outgoing longwave radiation (OLR) ; Lesson/ Tutorial ; NWP Skills and Knowledge for Operational Meteorologists
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CESM Distance Learning Course
The Community Earth System Model (CESM) is a fully-coupled, community, global climate model that provides state-of-the-art computer simulations of the Earth's past, present, and future climate states. The CESM Distance Learning Course is based on the CESM Tutorial held annually at the National Center for Atmospheric Research (NCAR) in Boulder, Colorado. This course consists of 12 lectures and 4 practical sessions on simulating the climate system and practical sessions on running Community Earth System Model (CESM), modifying components, and analyzing data. The course is targeted at the graduat ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1363
Published by: The University Corporation for Atmospheric Research ; 2019
The Community Earth System Model (CESM) is a fully-coupled, community, global climate model that provides state-of-the-art computer simulations of the Earth's past, present, and future climate states. The CESM Distance Learning Course is based on the CESM Tutorial held annually at the National Center for Atmospheric Research (NCAR) in Boulder, Colorado. This course consists of 12 lectures and 4 practical sessions on simulating the climate system and practical sessions on running Community Earth System Model (CESM), modifying components, and analyzing data. The course is targeted at the graduate student level.
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: Hydrology ; Weather forecasting ; Numerical weather prediction ; Sea ice ; Atmospheric chemistry ; Atmospheric physics ; Climate services ; Lesson/ Tutorial ; Competencies for Provision of Climate Services ; NWP Skills and Knowledge for Operational Meteorologists
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Communicating Risk: The Impact-based Forecast and Warning Services Approach
This online lesson introduces learners to the Impact-Based Forecast and Warning Services approach to managing risk from weather events. After reviewing the steps of the approach, learners will practice using them in two simulations. In the simulations, learners must determine the likelihood and potential severity of weather hazards associated with an approaching storm. Then they must create a message describing the potential risk and impacts from the storm's most prominent hazards.
Available online: https://www.meted.ucar.edu/training_module.php?id=1597
Published by: The University Corporation for Atmospheric Research ; 2019
This online lesson introduces learners to the Impact-Based Forecast and Warning Services approach to managing risk from weather events. After reviewing the steps of the approach, learners will practice using them in two simulations. In the simulations, learners must determine the likelihood and potential severity of weather hazards associated with an approaching storm. Then they must create a message describing the potential risk and impacts from the storm's most prominent hazards.
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: Lesson/ Tutorial ; Simulation
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Convection-allowing Models (CAMs): Winter Applications
In this lesson, forecasters will practice using guidance from different convection-allowing models (CAMs) over the short term. As they review and analyze the model guidance they will encounter some of the advantages and limitations of using CAMs for winter weather.
Available online: https://www.meted.ucar.edu/training_module.php?id=1459
Published by: The University Corporation for Atmospheric Research ; 2019
In this lesson, forecasters will practice using guidance from different convection-allowing models (CAMs) over the short term. As they review and analyze the model guidance they will encounter some of the advantages and limitations of using CAMs for winter weather.
Disclaimer regarding 3rd party resources: WMO endeavours to ensure, but cannot and does not guarantee the accuracy, accessibility, integrity and timeliness of the information available on its website. WMO may make changes to the content of this website at any time without notice.
The responsibility for opinions expressed in articles, publications, studies and other contributions rests solely with their authors, and their posting on this website does not constitute an endorsement by WMO of the opinion expressed therein.
WMO shall not be liable for any damages incurred as a result of the use of its website. Please do not misuse our website.Language(s): English
Format: Digital (Standard Copyright)Tags: Weather forecasting ; Numerical weather prediction ; Lesson/ Tutorial ; NWP Skills and Knowledge for Operational Meteorologists
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Land Surface Analysis: An Introduction to the EUMETSAT LSA-SAF Products
This 45-minute lesson provides an overview of the satellite-derived products generated by the Satellite Application Facility on Land Surface Analysis (LSA-SAF) that may provide beneficial information to the agriculture community. Learners will practice reading and interpreting the LSA-SAF products to better understand the characteristics of vegetation. The lesson also discusses the application of satellite-derived products in regression analysis to model agricultural production, and uses a wine production case in the Portuguese Douro Valley to show learners how seasonal crop productions may be ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1451
Published by: The University Corporation for Atmospheric Research ; 2019
This 45-minute lesson provides an overview of the satellite-derived products generated by the Satellite Application Facility on Land Surface Analysis (LSA-SAF) that may provide beneficial information to the agriculture community. Learners will practice reading and interpreting the LSA-SAF products to better understand the characteristics of vegetation. The lesson also discusses the application of satellite-derived products in regression analysis to model agricultural production, and uses a wine production case in the Portuguese Douro Valley to show learners how seasonal crop productions may be modeled.
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
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The Sun, The Earth, and Near-Earth Space
While solar radiation enables and sustains life on Earth, it also produces “space weather” that can profoundly impact different technologies, including telecommunications, satellite navigation, and the electric power grid. Solar flares can produce x-rays resulting in radio blackouts that block high-frequency radio waves. Solar Energetic Particles can penetrate satellite electronics and cause electrical failure. Coronal mass ejections (CMEs) can cause geomagnetic storms that induce ground currents and degrade power grid operations, sometimes catastrophically. The Sun, The Earth, and Near-Earth ...Permalink![]()
GOES-16/JPSS Case Exercise: Monitoring the Rhea Oklahoma Grassland Fire
The current GOES-R and JPSS meteorological satellites have improved capabilities for enhanced fire detection that include more effective monitoring of fire starts, evolution, and smoke. This lesson provides forecasters and others with the opportunity to become more familiar with both GOES-R and JPSS satellite products (including the longwave-shortwave IR difference, Fire Temperature RGB, GeoColor, GOES-R Fire Mask, JPSS Active Fire, and others) during the onset of a large grassland fire event, known as the Rhea Fire, that affected western Oklahoma from April 12-18, 2018. Interactions and quest ...Permalink![]()
Introducing the FORMOSAT-7/COSMIC-2 Satellite System - Next Generation Observations for Weather and Climate
The latest-generation Constellation Observing System for Meteorology, Ionosphere, and Climate (FORMOSAT-7/COSMIC-2) provides high-resolution observations of Earth's atmosphere, including the ionosphere. In this video, scientists and mission planners introduce the instrumentation used and describe the collaborations that made the COSMIC-2 mission possible. These experts describe how COSMIC uses a technique called radio occultation—making use of existing navigation satellite signals passing through the atmosphere to provide detailed measurements of temperature, pressure, and water vapor. They ex ...Permalink![]()
What's New in NBM v3.2
The U.S. National Weather Service (NWS) National Blend of Models (NBM) is scheduled to be upgraded to version 3.2 in November 2019. It includes the first probabilistic blended guidance for temperature, precipitation, snow, and ice. There are more blended forecast products for aviation, marine, water resources, fire weather, winter weather, and tropical weather. Version 3.2 uses more model components to improve guidance, and introduces a new Guam domain. For a transcript, see What’s New in NBM v3.2. (https://www.meted.ucar.edu/nwp/blend_v32_video/NBM_v32_script.pdf)Permalink![]()
Satellite Signals from Space: Smart Science for Understanding Weather and Climate
Want to know about COSMIC, and how satellite signals can provide information about Earth's atmosphere? This video provides anyone interested in the topic with a brief overview of the Constellation Observing System for Meteorology, Ionosphere, and Climate, called COSMIC. Targeted to students and teachers in Grades 5-9 but accessible to anyone, the video introduces the latest COSMIC mission (COSMIC-2), which uses satellites orbiting near Earth to measure how the atmosphere affects signals from global positioning system (GPS) satellites high above the surface. This technique is called radio occul ...Permalink![]()
Basic Satellite and NWP Integration
NWP is one of the most important forecasting tools in our toolbox. Yet identifying when/where it isn’t capturing reality is difficult. In the short-term forecasting range, it is important as a forecaster to identify when/where NWP output isn’t matching reality. Then you can make appropriate changes to the forecast output. To find those mismatches anywhere in the world, one of the best tools is satellite imagery. In this lesson, we will focus on a few cases using satellite imagery to help identify mismatched features/processes between the satellite imagery and the NWP. Anyone trying to add valu ...Permalink![]()
Leveraging Social Science to Improve Risk Communications
NWS forecasts are only one of many sources of forecast guidance that both expert users and the public have access to. Decision support for a spectrum of end users requires that the NWS will use social science findings and practices as a guide for making its products more accessible and effective.This lesson will focus on effective messaging when communicating weather hazards. In the process the learner will become familiar with some messaging best practices that are based on social science findings.Permalink![]()
NWP Comparisons: Total-column Variables
Another way to try to find mismatches between observed weather and NWP output is by using total-column variables. There are a few of them to choose from, and they make for a relatively simple comparison method for finding correctable mismatches. In this lesson, we'll address appropriate methods for making these comparisons and build to a point where we will focus on bigger picture atmospheric processes. This is the second in a series of video lessons that introduces three different methods for modifying NWP output to add human value to forecasts.Permalink![]()
PV Modification
You know what PV is, yet aren't quite sure how to modify it to make a better forecast. In this short lesson, we will discuss how to modify the PV surface to match water vapour imagery and how those adjustments affect the surface sensible weather. This is the fifth 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 Interpretation -- Short CoursePermalink![]()
Interpreting and Communicating EPS Guidance: Germany Winter Event
This 45-minute lesson briefly introduces learners to the benefits of using probabilistic forecast information to assess weather and communicate forecast uncertainties. Learners will explore a winter weather event in Germany and practice synthesizing deterministic and probabilistic forecast guidance to better understand forecast uncertainties based on lead-time. Also, learners will decide how to best communicate the potential weather threats and impacts to local end users. The lesson is another component of the Forecast Uncertainty: EPS Products, Interpretation, and Communication distance learn ...Permalink![]()
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 ...Permalink![]()
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.Permalink![]()
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 ...Permalink![]()
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 ...Permalink![]()
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.Permalink![]()
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![]()
SatFC-J: The CrIS and ATMS Sounders
This lesson introduces the capabilities of NOAA’s next-generation infrared and microwave sounders, the Cross-track Infrared Sounder (CrIS) and the Advanced Technology Microwave Sounder (ATMS). Both fly on board the Suomi NPP satellite mission and constitute the foundation for NOAA’s operational space-based sounding capability on the next-generation JPSS polar-orbiting satellites. In addition to their complementary sounding duties, CrIS and ATMS provide capabilities and improvements for a variety of environmental products essential to weather forecasting and environmental monitoring. Some of th ...Permalink![]()
Mesoscale Model Components of the National Blend of Models Version 3.0
The National Weather Service National Blend of Models (NBM) was updated to version 3.0 on 27 July 2017. Changes include: Eight new components for the contiguous U.S. (CONUS) and Alaska, including four deterministic models, two ensemble systems, and two post-processed statistical components Five new components for Hawaii and Puerto Rico Expanded forecast domains for the CONUS and Alaska A “Time of Day” (ToD), rather than NWP model, initial time concept Hourly NBM forecasts, with short, day 2-4, and extended forecasts Updated NBM guidance available 50-60 minutes after hourly run time New weather ...Permalink![]()
Radio Wave Propagation
As a society we have become dependent on satellite communications, but satellites fail with alarming frequency. Before the advent of satellites, long distance communications were carried out with high frequency (HF) radio transmissions. This lesson examines the factors that control long-distance radio communications, with an emphasis on refraction in the ionosphere, frequency selection, and the effects of solar radiation.Permalink![]()
GOES-R Series Multilingual Training Resources
This listing of multilingual training materials for the GOES-R series includes both foundational lessons and quick guides developed by various partners at the request of the U.S. National Weather Service and NESDIS. The selections included here represent materials translated to Spanish and Portuguese. Training contributors include COMET, RAMMB/CIRA, CIMSS, and SPoRT. Translation contributors/reviewers include the Servicio Meteorológico Nacional (SMN) in Argentina and the University of São Paulo in Brazil.Permalink![]()
Unified Terrain in the National Blend of Models
This lesson discusses errors associated with the use of inconsistent terrain in the analyses in the Real-Time and the Un-Restricted Mesoscale Analyses (RTMA and URMA, respectively), and in downscaling numerical weather prediction model data to the resolution of the U.S. National Weather Service National Blend of Models (NBM). The sources of these inconsistencies are examined, and the errors that result are discussed. A solution is to use a unified, consistent terrain in the analyses and the NBM. This solution is only partial however, as resolution of small, meteorologically significant feature ...Permalink![]()
GOES-16 and S-NPP/JPSS Case Exercise: Hurricane Harvey Surface Flooding
Satellite data are important tools for analyses and short-term forecasts of surface floodwater. This lesson will highlight the August 2017 flooding associated with Hurricane Harvey in southeastern Texas, one of the most costly weather disasters in U.S. history. Through the use of interactive exercises the learner will become familiar with use and interpretation of satellite imagery in regions with surface flooding. The lesson will use data from both the S-NPP Visible Infrared Imaging Radiometer Suite (VIIRS) and the GOES-16 Advanced Baseline Imager (ABI). The satellite-derived flood map and th ...Permalink![]()
National Water Model, Part 1: Science and Products
This lesson provides an introduction to the benefits, important input (forcing data), and key products of the National Water Model. Both official and evolving products are presented. The lesson uses the flooding associated with Hurricane Harvey in August 2017 to demonstrate key products.Permalink![]()
Instrumentation and Measurement of Atmospheric Pressure
This lesson provides information about current science and technologies for measuring atmosphere pressure. The lesson begins by reviewing the key physical laws governing atmospheric pressure, including Dalton's Law of Partial Pressures. Then, it explores typical requirements and uncertainty parameters related to atmospheric pressure sensors and provides details about the components of pressure sensors, including fluidic, mechanical, and electronic transducers. The lesson is part of the Instrumentation and Measurement of Atmospheric Parameters course series.Permalink![]()
Geodetic Control in Land Surveying: Active vs. Passive
Aimed at surveyors and GIS professionals, this video explains the difference between active and passive control methods in surveying, and the strengths and weaknesses of each. Passive control is the traditional method of referencing positions to physical benchmarks that have known locations. Active control references positions to one or more Continuously Operating Reference Stations (CORS). These stations use continuous contact with global navigation satellite systems (GNSS/GPS) to provide a highly accurate and updated position.Permalink![]()
Forecasters' Overview of the Middle East
This lesson provides an introduction to the Middle East for Navy meteorologists. It focuses on the major aspects of synoptic and mesoscale weather patterns, hazards to aviation and maritime operations, geography, oceanography, and climatology. The “Geography” Unit covers major political boundaries, cities, ports, topographical features, rivers, and seismicity. The “Oceanography” Unit includes major bathymetric features, mean sea surface temperature, vertical temperature profiles, salinity and velocity, ocean currents, and tidal ranges. The “Climatology” Unit covers the seasonal climatology of ...Permalink![]()
Mei-Yu Front, Part 1: Ingredients for Heavy Precipitation and the Forecast Process in Taiwan
This lesson (available in Traditional Chinese) introduces the Mei-Yu Front characteristics and forecasting methodology used by the CWB to forecast precipitation over Taiwan. The lesson discusses the Mei-Yu Front's three-dimensional structure, lifting mechanisms, precipitation patterns and includes cases to help learners practice determining the possible area of heavy rainfall.Permalink![]()
SatFC-J: The AMSR2 Microwave Imager
This short lesson describes the Advanced Microwave Scanning Radiometer 2 (AMSR2) on board the next-generation polar-orbiting satellite platforms. AMSR2’s primary mission is to improve scientists’ understanding of climate by providing estimates of precipitation, water vapor, cloud water, wind velocity, sea surface temperature, sea ice concentration, snow depth, and soil moisture. AMSR2 also advances weather forecasting through real-time imagery, value-added products, and input to numerical weather prediction. This lesson is part of the Satellite Foundational Course for JPSS (SatFC-J).Permalink![]()
SatFC-J: The VIIRS Imager
This lesson introduces the VIIRS imager on board the Suomi NPP and JPSS satellites. The lesson briefly describes the capabilities, improvements, and benefits that VIIRS brings to operational meteorology. Numerous images are shown that demonstrate a variety of applications available in the AWIPS weather display system. This lesson is part of the Satellite Foundational Course for JPSS (SatFC-J).Permalink![]()
SatFC-J: Orbits and Data Availability
This lesson presents a brief overview of NOAA's operational low Earth orbiting satellites, focusing on how their orbits define observational coverage and how ground receiving capabilities impact data latency from the observation time to product availability. This lesson is part of the Satellite Foundational Course for JPSS (SatFC-J).Permalink![]()
Rapid Scan Applications and Benefits
This lesson introduces the capabilities and benefits of rapid scan imaging from geostationary meteorological satellites with a special focus on the current Meteosat Second Generation satellites. The lesson begins with an overview of current rapid scan imaging strategies and the products made from those observations. It then addresses nowcasting applications that benefit from these products with a focus on convection and its evolution. Other application areas that benefit from rapid scan observation are mentioned including the monitoring of fog and low stratus, wildfires, tropical cyclones, and ...Permalink![]()
National Water Model, Part 2: Early Performance
In this lesson the learner will review and interpret data regarding the early performance of the National Water Model (versions 1.0 -1.2). Verification and evaluation of the National Water Model has been occurring since it went operational in August 2016. This lesson will review some of the main issues in model performance through early 2018, including some retrospective verification extending back to 2011. You will see how model performance has been improved as a result of verification. Among the topics addressed are peak flow timing errors, model bias and correlation, the impacts of basin ca ...Permalink![]()
Interpreting and Communicating EPS Guidance: British Columbia Winter Storm
This 45-minute lesson provides an opportunity to use ensemble prediction system products to evaluate uncertainty in the forecast and then communicate that information effectively to a public audience. The lesson places learners in the role of a Meteorological Service of Canada forecaster who must assess forecast uncertainty and then issue early warning notifications to decision-makers regarding the winter storm. In a subsequent work shift during the event, the learner must effectively deliver forecast information via social media and respond to questions from the general public. The lesson is ...Permalink![]()
The Value of Accurate Water Levels
NOAA’s Center for Operational Oceanographic Products and Services (CO-OPS) operates the National Water Level Observation Network (NWLON) a system of water level sensors, that form the backbone of our nation’s coastal observation infrastructure. This short video, intended for decision makers and the general public, describes the value of accurate NWLON water level data provided by CO-OPS.Permalink![]()
Operational Environmental Monitoring Applications using the Community Satellite Processing Package (CSPP)
This resource demonstrates the variety of satellite imagery and products accessible through the Community Satellite Processing Package (CSPP). Two videos, the first focused on imagery applications and the second on microwave applications, provide an overview of the types of weather and environmental information available through CSPP. Using CSPP, forecasters and others needing timely access to data can download and display imagery and products from Joint Polar Satellite System (JPSS) instruments. The resource provides some background information for obtaining and using the CSPP software, which ...Permalink![]()
SatFC-J: The VIIRS Day/Night Band
This lesson introduces the innovative Day/Night Band (DNB). Producing both daytime and nighttime visible images, the unique aspect of the DNB is its nocturnal low-light imaging capability. It views reflected moonlight from clouds and Earth's surface, surface light emissions from various natural sources (such as fires) and anthropogenic sources (such as city lights and gas flares), and even from certain atmospheric light emissions such as the aurora, airglow, and lightning flashes. The lesson describes the capabilities and benefits of the DNB, in particular using the Near-Constant Contrast (NCC ...Permalink![]()
GOES-16 GLM Case Exercise: Buenos Aires Tornado and Hail Event
The Geostationary Lightning Mapper (GLM) flies aboard the GOES-R series satellites and provides lightning detection data at a quality and resolution not previously available from space. The GLM's continuous lightning monitoring capability is a valuable asset to detecting and monitoring developing thunderstorms 24 hours a day. This 30 minute lesson introduces learners to the benefits of using Geostationary Lightning Mapper (GLM) observations in assessing convection. Learners will explore a severe weather event near Buenos Aires, Argentina, and practice using GLM observations to determine initia ...Permalink![]()
Basic Satellite Imagery Interpretation
This lesson teaches the basics of satellite image interpretation to forecasters, meteorology students, and other interested learners, with an emphasis on the African region. It begins by briefly describing visible, infrared, and water vapour channels, as well as RGBs and derived products. From there, it teaches learners how to interpret clouds and surface features using various channels and products. This sets the stage for the final section, where learners practice identifying features using assorted imagery and products. The lesson uses Meteosat Second Generation imagery over Africa and, to ...Permalink![]()
Gravity for Geodesy II: Applications
Gravity is an important part of geodesy, with implications for height measurements and many other applications. In this module, we explore the concept of equipotential surfaces and relate them to gravity. Then we discuss geodetic applications that rely on accurate gravity measurements, including leveling surveys and floodplain mapping. We introduce a special surface based on gravity, called the gravimetric geoid, and explain why we want to use it as a reference datum. We discuss how to measure Earth’s gravity and introduce you to the National Geodetic Survey’s GRAV-D project, including how and ...Permalink![]()
Training Tutorials and Datasets for GOES-R/JPSS New Generation Satellite Aerosol Products
These free training resources include video tutorials as well as case studies with accompanying data and imagery. The resources introduce the new generation of aerosol products available from the JPSS series of polar-orbiting satellites (SNPP/VIIRS) and the GOES-R series of geostationary satellites (GOES-16/ABI). Users will learn about the types of satellite aerosol products available, including aerosol optical depth/thickness (AOD/AOT) and aerosol detection (smoke/dust masks), as well as complimentary satellite products, such as fire radiative power (FRP) hotspots and visible color imagery (R ...Permalink![]()
What's Coming in Hydrologic Impacts Studies?
In this recorded webinar from the Hydrologic Impacts Under Climate Change (HIUCC) course (June 2017), Dr. Julie Vano describes what the near future will likely bring in terms of hydrologic impacts studies. Her talk is parsed into four sections. Section 1 summarizes ongoing research. Section 2 discusses the sharing of hydro-climate information. Section 3 moves into the future and describes the process of planning, executing, and evaluation a climate impacts study. Section 4 provides concluding thoughts from Dr. Vano and includes three questions (and answers) from the HIUCC course attendees.Permalink![]()
Statistical Methods in the NWS National Blend of Global Models Part 2
This lesson introduces users to the statistics used in generating the various weather element forecasts included in version 2 and 3 of the U.S. National Weather Service (NWS) National Blend of Global Models (NBM). This Level 3 lesson is intended for forecasters and users of NWS forecast products; some prior knowledge of numerical weather prediction and statistics is useful. Learners will be introduced to the analysis of record used to calibrate the NBM’s bias and error estimates. Learners will also explore the bias correction, weighting, and post-processing procedures used to produce the forec ...Permalink![]()
COSMIC: Atmospheric Remote Sensing for Weather, Climate, and the Ionosphere
This video provides an introduction to the Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC), including information about the COSMIC-2 mission. COSMIC uses a technique called radio occultation to profile temperature, water vapor, and ionospheric information within Earth's atmosphere. The high-quality, high-resolution data contribute to improvements in numerical weather prediction, hurricane forecasts, climate studies, and ionospheric analyses. This full video resource covering COSMIC data and science is hosted on COMET's YouTube Channel. A short video highlightin ...Permalink![]()
GOES-R Series Faculty Virtual Course: Geostationary Lightning Mapper
In this webinar recording Scott Rudlosky and Geoffrey Stano discuss and demonstrate the capabilities of the GOES-R/16 Geostationary Lightning Mapper (GLM) in both operational and research applications. You will learn how the GLM, the first lightning mapper in geostationary orbit, differs from land-based lightning detection. The presenters summarize important processes known as lightning events, group, flashes, and lightning jumps and show products that illustrate the location and areal extent of lightning, and its evolution in cloud systems. With this information you should be able to integrat ...Permalink![]()
GOES-R Series Faculty Virtual Course: Severe Storms
In this webinar recording, Michael Bowlan explains how GOES-R/16 can help improve forecasts of severe storms and provide forecasters with real-time information about lightning, flooding potential and other hazards. The high-resolution Advanced Baseline Imager (ABI) data can indicate whether thunderstorm updrafts are gathering strength or weakening, helping aid forecasters in making warning decisions. The ABI can also aid in identifying storms and convective complexes that have stalled or are “training”, which can signal a flood risk and help forecasters issue flood or flash flood warnings soon ...Permalink![]()
Foundations of Global Navigation Satellite Systems (GNSS)
This lesson provides a technical introduction to Global Navigation Satellite Systems (GNSS), covering theory, procedures, and accuracy issues. Aimed at professionals in a “geospatial science” field, including engineers, surveyors, meteorologists, geographers and GIS professionals, it will also be useful for emergency managers, and technically-inclined members of the general public with appropriate math and/or science background. For those who may currently see GPS/GNSS as a “black box”, this 1.5 hour lesson provides an understanding of the underlying principles and concepts to support correctl ...Permalink![]()
Local Tropical Cyclone Precipitation Forecasting and Communication
This lesson introduces learners to the challenges in predicting and communicating localized tropical cyclone (TC) rainfall threats. The lesson discusses the key ingredients conducive for heavy TC rainfall, and the tools used by the National Weather Service to forecast it. Learners work through a TC case to practice interpreting precipitation guidance correctly and communicating the threat and impacts. The lesson also highlights the issuance of flash flood emergencies and areal flood warnings during TC events, and how to best communicate TC rainfall impacts for a local area. The lesson will tak ...Permalink![]()
GOES-R Series Faculty Virtual Course: Tropical Cyclones
In this webinar recording, Andrea Schumacher demonstrates the GOES-R series' new capabilities for real-time tropical cyclone analysis and monitoring, which will contribute significantly to improved hurricane track and intensity forecasts. The GOES-16 imager will provide dramatic new views of tropical cyclone phenomena, offering vastly improved time and spatial resolution as well as color composite images to enhance cloud bands and other features. This webinar will also explore the role of the Geostationary Lightning Mapper (GLM) in helping identify areas of strong thunderstorms associated with ...Permalink![]()
Dam Failure Concepts and Modeling
This lesson provides an in-depth case study to illustrate principles of dam failure modeling and examines some of the critical data inputs and outputs. Output is provided from the U.S. Army Corps of Engineers HEC-RAS model for simulated failures of a large dam. Several simulations are presented that show the impact from varying the size of the breach and the time it takes the breach to fully develop. The lesson also summarizes several infamous large dam failures from around the world and the impacts from other factors are such as reservoir shape and size, the age of the dam, and the material u ...Permalink![]()
Met 101: Introduction to the World's Oceans
This short lesson provides an overview of the world's oceans, including information about geography, physical properties, major currents, and the effects of oceans on weather and climate. Brief information about wind waves, swell, and tides and the drivers of each of these phenomena are included along with an introduction to ocean measurements.Permalink![]()
Instrumentation and Measurement of Atmospheric Temperature
This lesson offers a comprehensive overview of temperature measurement as related to the atmosphere, bodies of water, soils, and other parts of Earth’s surface. The lesson begins by defining temperature and why it is an important property to characterize. It provides details about the properties and characteristics of sensors used for temperature measurements and the advantages and disadvantages of different sensors depending on the application. Lastly, the lesson outlines the methods used for measuring different types of temperature, from soil to the free atmosphere.Permalink![]()
Web-Based Ensemble Tools: Ensemble Situational Awareness Table
The National Weather Service (NWS) Western Region (WR) has developed a Ensemble Situational Awareness Table (ESAT), which uses probabilistic NWP to bring attention to the potential for extreme events, especially in middle-range forecasts. The lesson, which is the first of two on the ESAT, describes the ESAT and how its data can be used to support assessment of extreme weather event forecasts. Additionally, statistical methods, including employment of reanalysis and NWP model climatologies (R-Climate and M-Climate, respectively) are described in reference to the products available in the ESAT.Permalink![]()
Communicating Impacts and Mitigation for Wind Chill and Extreme Cold
Extremely cold air comes every winter to at least part of the United States and affects millions of people. Arctic air and brisk winds can lead to dangerously cold wind chill values, resulting in frostbite and hypothermia. About 63% of weather-related deaths in the U.S. result from exposure to excessive cold and/or hypothermia. Extreme cold can also lead to significant damage to buildings and infrastructure, resulting in $500-million in average annual insured losses. This lesson describes the potential impacts of cold wind chill values and extremely cold temperatures, and explores ways forecas ...Permalink![]()
GOES-R Series Faculty Virtual Course: Multispectral RGB Composites
In this webinar recording Dr. Emily Berndt and Dr. Michael Folmer discuss the capabilities of the GOES-R/16 Red-Green-Blue (RGB) composites. Multispectral or RGB composites are qualitative, false color images designed to enhance specific features in the atmosphere that are important to forecasters, aviators, mariners, and emergency response officials. RGB composites have been enthusiastically integrated into forecast operations because of their ability to highlight the presence and evolution of important forecast phenomena. This presentation details the development of RGB composites and provid ...Permalink![]()
Using Climatology in Forecasting Convection in West and Central Africa
This case-study lesson provides an opportunity to apply the information in the ASMET lesson “Satellite-Derived Climatology Products for Monitoring Convection Over West and Central Africa” to a case that occurred over West and Central Africa in June 2014. It demonstrates how to integrate climatology information with satellite, global instability indices (GII), and NWP data when convection is forecast to occur.Permalink![]()
Gravity for Geodesy I: Foundations
The first of a two-part series, this 40-50 minute non-narrated interactive lesson is intended to help professionals with basic science background better understand the Earth’s gravity field and what causes its variations. Of particular interest to earth/physical scientists as well as surveying engineers, this lesson covers Newton’s laws with a focus on Earth’s gravity field as it applies to geodesy. After a review of the basics of Newtonian gravitation and gravity, it explores how density, altitude, and latitude affect gravity.Permalink![]()
High-Frequency Radar: Supporting Critical Coastal Operations with Real-time Surface Current Data
Produced in collaboration between NOAA’s National Ocean Service (NOS) US Integrated Ocean Observing System (IOOS) Program Office and The COMET Program, this video explains how high-frequency radar (known as HF radar) is used to provide detailed information in real-time on coastal ocean surface currents. It describes the important role that HF radar products play in critical coastal operations such as hazardous spill response. Finally, it covers basic capabilities and strengths of HF radar as well as how to access coastal current data. Coastal decision-makers and managers across all levels of g ...Permalink![]()
Fire Weather Forecasting: Clear Communications, Second Edition
This lesson will introduce National Weather Service (NWS) forecasters to the communication strategies used for decision support services during wildland fire incidents. It also serves as a baseline for practices that leverage unique NWS capabilities to assist land management, firefighting, and emergency management entities in critical decision making. The learners will work through a simulation to see the effects of their communication choices on decisions made by fire personnel. The lesson replaces an earlier edition produced in 2008.Permalink![]()
GOES-R Series Faculty Virtual Course: Advanced Baseline Imager
In this webinar recording, Tim Schmit demonstrates the improved temporal, spatial, spectral and calibration attributes of the Advanced Baseline Imager (ABI) on the GOES-R series. The main uses for each of the sixteen spectral bands will be covered, using examples from the recently launched GOES-16 ABI. Imagery and data loops for various types of atmospheric phenomena will be presented to illustrate the improved spectral capabilities and higher temporal and spatial resolution of the ABI. This is a recorded webinar presented by an instructor at his home institution. Audio variations may exist.Permalink![]()
Met 101: Basic Weather Processes
This lesson provides an overview of basic weather processes, beginning with how the distribution of incoming solar energy helps to establish Earth’s atmospheric circulations. Learners will gain an understanding of the differences between weather and climate, and how Earth’s winds tend to have dominant patterns determined by region. An introduction to atmospheric stability, clouds, precipitation processes, and thunderstorm characteristics is also included, along with an introduction to weather impacts affecting aviation operations.Permalink![]()
Impacts TAF Board Videos
This series of videos, produced in collaboration with NOAA and the FAA, provides an introduction to the new Impacts TAF Board tactical decision aid. Introducing the Impacts TAF Board (3:00) The new Aviation Weather Center (AWC) Impacts TAF Board helps aviation professionals easily monitor when and where airport operations will be impacted by the weather. This video introduces the history, purpose and benefits of the board. Using the Impacts TAF Board (4:20) This video explores the Impacts TAF Board website and explains the key elements of the board and how to use them.Permalink![]()
Communicating Winter Weather Surface Impacts
This lesson will introduce National Weather Service (NWS) forecasters to the benefits of pre-season coordination in understanding the critical needs of decision-makers, particularly the state and local Departments of Transportation (DOTs). The strategies used by DOTs to mitigate road impacts during the winter and how the NWS can best support their needs are also discussed. Learners will gain insight into the common methods of collaboration between the NWS and DOT, and the different types of winter weather events in which they work together. Learners will also practice communicating winter weat ...Permalink![]()
GOES-R Launch Workshop for Broadcast Meteorologists, November 2016
This lesson consists of presentations by nine professionals from NOAA and NASA recorded at the GOES-R Workshop for Broadcast Meteorologists at Kennedy Space Center. The workshop was offered by StormCenter Communications, Inc. in partnership with the COMET Program in conjunction with the November 2016 GOES-R launch. These presentations introduce broadcast meteorologists to the new capabilities of this next-generation weather satellite and cover topics including new instrumentation and data available via the GOES-R series, and how the imagery will improve forecasting. After completing this lesso ...Permalink![]()
Using the Local Climate Analysis Tool (LCAT) for Water Resilience Decisions
This lesson offers users of climate information a demonstration of the utility of the Local Climate Analysis Tool (LCAT) for water resources applications. The training follows a NOAA Climate Resilience Toolkit case study in Tampa, Florida, and illustrates how LCAT analyses can be used to inform the steps to climate resilience outlined in the Toolkit. This text-based, interactive lesson will be accessible to anyone using LCAT for water resources decision-making, though will be most useful to those with some familiarity with drought/water resources questions and information needs. Some backgroun ...Permalink![]()
Foundations of Meteorological Instrumentation and Measurements
This lesson provides an introduction to the instrumentation used for meteorological measurements. Aimed at undergraduate and graduate students in meteorology and the atmospheric sciences, it examines the types of observing systems available to measure temperature, pressure, humidity, trace gases, clouds and aerosols, winds, precipitation, and radiation. Learners will explore the main components of an instrument and become acquainted with performance characteristics including types of errors. This introductory lesson provides a foundation for more detailed training focused on measurement of spe ...Permalink![]()
Advances in Space-Based Nighttime Visible Observation, 2nd Edition
This updated one-hour lesson explores the types of atmospheric and surface features that can be observed at night. It describes recent technical improvements in nighttime visible imaging with the VIIRS Day/Night Band on board the Suomi NPP and JPSS satellites, and the lunar phases and other conditions necessary for effective nighttime visible imaging. This lays the foundation for the rest of the lesson, which explores operational uses of nighttime visible observations. These include the detection and monitoring of city lights, tropical cyclones, fog and stratus, polar nights, auroras, fires an ...Permalink![]()
Meteorological Instrument Performance Characteristics
This advanced lesson explores the performance characteristics of instrumentation used for meteorological measurements. Static performance characteristics are examined in the context of calibration, which offers a means to determine an instrument's response. Dynamic performance characteristics, including first and second order inputs, are discussed using three classic examples: step or impulse, ramp or time varying, and oscillatory inputs. The lesson provides information about the effects of representativeness and regional homogeneity on measurements, and also describes processes for obtaining ...Permalink![]()
COMET Translation Resource Center
English Description The COMET Translation Resource Center supports the World Meteorological Organization (WMO) community's efforts to expand the availability of training materials through translation. Here you'll find resources to guide and support your translation efforts and a forum to exchange ideas and resources. The site hosts the Guide to Translation Project Management which was developed as a collaborative WMO Global Campus project by The COMET Program and the Meteorological Service of Canada with funding by NOAA’s National Weather Service International Activities Office. The guide is a ...Permalink![]()
Introduction to EPS Theory
This lesson introduces the concepts needed to understand and use ensemble prediction system (EPS) products. It describes basic statistical quantities and methods used to develop EPS products, such as probability distribution functions (PDFs) and cumulative distribution functions (CDFs). From there, it discusses ways of using EPS products compared to deterministic products. The final section briefly introduces nine common EPS products. The lesson is a prerequisite for the EPS Products Reference Guide.Permalink![]()
Forecasting Aviation Convective Impacts with INSITE
The National Weather Service (NWS) has developed the INSITE tool (INtegrated Support for Impacted air-Traffic Environments) to improve NWS convective impact forecasts by providing functionality that enables forecasters to include more precise impact areas in aviation convective weather forecast products. The tool lets forecasters identify potential constraints to the National Airspace System by combining forecast weather and air-traffic data. Improved convective weather forecast products can reduce delays in air-traffic and increase efficiency in the National Airspace System (NAS). In this 45- ...Permalink![]()
GOES-R Series Faculty Virtual Course: RapidScan Imaging
In this webinar recording, Dr. Dan Lindsey presents GOES-16/GOES-R 30-second and 1-minute rapid scan imagery to demonstrate unprecedented views of convection, wildfire, storm intensification, and other quickly-evolving features. GOES-16 rapid scan also enables cloud and feature tracking in and around tropical cyclones. The webinar includes examples of how rapid scan sectors may be prioritized and selected by the National Weather Service. Instructions about how to obtain and use archived data are also provided. This is a recorded webinar presented by an instructor at his home institution. Audio ...Permalink![]()
WPC Rainfall Guidance for Tropical Cyclones
This lesson introduces learners to the challenges in predicting precipitation associated with tropical cyclones (TCs). It also provides an overview of the deterministic and probabilistic rainfall guidance products issued by the Weather Prediction Center (WPC) to forecast TC-related precipitation. Learners work through a TC case to practice interpreting the guidance correctly and communicating the precipitation threat. The lesson also highlights the different interpretations of probabilistic products from the WPC and National Hurricane Center, and the need for collaboration between national cen ...Permalink![]()
Communicating Forecast Uncertainty, European Case
This lesson is a follow-on to COMET’s Communicating Forecast Uncertainty lesson, which introduces research findings on the effective communication of uncertainty information and enables learners to apply them to a North American case. This lesson focuses on a European winter weather case and provides an additional opportunity to evaluate end-user needs and formulate effective responses to their questions based on the research findings. Learners are strongly encouraged to take Communicating Forecast Uncertainty before starting this lesson. The lesson is aimed at experienced forecasters with kno ...Permalink![]()
Reservoir Pool Elevation: Considerations for Long-term Asset Management and Planning
Long-term management of critical water resources infrastructure needs to incorporate projected changes to environmental conditions. Reservoirs form the heart of water resource assets. Long-range plans for the repair, replacement, maintenance and renovation of these facilities depend on accurate projections of reservoir pool elevations. Environmental conditions, in turn, dictate the magnitude and timing of inflows and outflows from reservoirs, and thus the resulting water surface elevation. This lesson explores the factors that affect reservoir pool elevation and the considerations and challeng ...Permalink![]()
GOES-16 Case Exercise: 8 May 2017 Colorado Hail Event
GOES-16, the first satellite in the GOES-R series, launched in November 2016 and now provides 16 multispectral bands of satellite data, including CONUS scans every five minutes, with 0.5 kilometer visible imagery resolution and 2.0 km longwave infrared resolution. This lesson harnesses GOES-16’s increased temporal and spatial resolutions to identify convective development and intensity signatures on traditional longwave IR and visible band imagery, and compares the experience to using legacy GOES products. The lesson is geared toward early-career forecasters, those forecasters wanting more exp ...Permalink![]()
GOES-R Series Faculty Virtual Course: Aviation Products
In this webinar recording, Amanda Terborg (with input from Dr. Chad Gravelle), will demonstrate the capabilities of GOES-R/16 in analyzing hazards affecting the aviation industry. The talk focuses specifically on four hazards (but there are others): 1) fog and low stratus, 2) in-flight turbulence, 3) dust, and 4) volcanic ash. Through the use of GOES-R/16 spectral bands, band differences, and RGB composites, satellite data users can detect the development and evolution of aviation threats better than with any previous geostationary satellites. This is a recorded webinar presented by an instruc ...Permalink![]()
Met 101: Introduction to the Atmosphere
This lesson provides an overview of Earth’s atmosphere, its vertical structure, the fundamental forces acting on air, and how the atmosphere's composition affects the colors we see in the sky. The lesson also includes information about how Earth receives energy from the Sun as solar and infrared radiation, and the mechanisms for transferring heat around the globe. Learners will be introduced to the components of Earth’s water cycle, and also briefly explore the main types of systems used to observe the atmosphere.Permalink![]()
Limitations of High-Resolution NWP Models
This scenario-based lesson examines how the limitations of high-resolution NWP forecasts affect their analyses and forecasts of winter and severe weather, and how best to use the output in light of the limitations. The lesson is structured around a case that occurred in Texas in December 2015 when winter weather and severe weather hit Amarillo and Dallas-Ft. Worth, respectively. As users go through the case, they learn how spin-up time, errors in initial conditions, and deficiencies in the modeling of mesoscale phenomena can impact high-resolution forecasts in the NAM nest and HRRR models.Permalink![]()
EPS Products Reference Guide
The EPS Products Reference Guide provides information about nine commonly used ensemble prediction system (EPS) products. Each has a description, tips for interpreting and using it effectively, a list of its strengths and weaknesses, and practice exercises. The Guide is meant to be used as reference material and does not have a quiz.Permalink![]()
Using the Hydrologic Ensemble Forecast Service (HEFS)
The lesson is intended to help NOAA's National Weather Service facilitate forecasters' use of ensemble forecast information in hydrology. The lesson provides information about the benefits and limitations of the Hydrologic Ensemble Forecast Service (HEFS), explains the sources of uncertainty (meteorological inputs and hydrologic modeling), and demonstrates how to interpret a HEFS product for hydrologic analysis and forecasting.Permalink![]()
Communicating Climate Change Scenarios With Decision Makers: Lecture by Dr. Holly Hartmann, Research Hydrologist
In this 1-hour lecture, presented in three parts, research hydrologist Dr. Holly Hartmann discusses issues and approaches for communicating with decision-makers regarding climate change topics in water management and planning. Dr. Hartmann is a national leader in research related to the development of decision support tools for climate, water, and other resource management applications, especially linking research with the needs of decision-makers and moving research into agency operations. Dr. Hartmann is Carpe Diem West’s Director of Climate Science Applications. Previously she was Director ...Permalink![]()
Climate and Water Resources Management, Part 1: Climate Variability and Change
Climate is changing at unprecedented rates in recorded history. A variety of lines of evidence demonstrate that climate change is likely to affect the hydrologic cycle and thus create new challenges in water management. This requires that climate change information be included in water and water-related resources planning, operations, and management. Climate and Water Resources Management, Part 1: Climate Variability and Change describes the terminology, global evidence, regional manifestations, and basic science of global climate variability and anthropogenic change, with a focus on water res ...Permalink![]()
Typhoon QPF in Taiwan
This lesson (available in Chinese) introduces the typhoon QPF forecasting methodology used by the CWB, including the role played by the analogue method and the typhoon rainfall climatology model in Taiwan. The lesson discusses the advantages and limitations of the Ensemble Typhoon QPF model, and includes a case to help learners practice interpreting this guidance and summarizing it to Emergency Operation Centers. The lesson also highlights the need to use probabilistic forecasts instead of deterministic forecasts in order to account for the uncertainties associated with typhoon forecasting.Permalink![]()
Forecasting Mountain Wave Turbulence for Aviation
Turbulent flow that impacts aviation can be caused by several different factors and can occur at both low and high-levels in the atmosphere. This lesson focuses on forecasting mountain wave turbulence. Its methodology relies on the spatial and temporal distribution of winds, stability, and clouds to forecast and verify mountain wave turbulence. Analyzed forecast products include NWP charts, cross sections and soundings, satellite imagery, RAOBs, PIREPS, and graphical turbulence guidance (GTG). The lesson is targeted for aviation forecasters at the U.S. National Weather Service (NWS). The modul ...Permalink![]()
Using NWP Lightning Products in Forecasting
This lesson introduces two numerical weather prediction (NWP) lightning hazard products that forecasters can use during a convective meteorological watch and to assess lightning risk at Day 2 and beyond. The first product is the Flash Rate Density, a derived, deterministic lightning product implemented in some NCEP high-resolution NWP models. The second product, the SPC Calibrated Thunderstorm Probability, combines forecasts of measurable precipitation and favorable lightning environments determined from the Cloud Physics Thunder Parameter. Information about these products is presented in the ...Permalink![]()
SatFC-G: Basic Principles of Radiation
This lesson is an abbreviated review of the scientific basis for using visible and infrared satellite imagery. The concepts and capabilities presented are common to most geostationary (GEO) and low-Earth orbiting (LEO) meteorological satellites. Basic remote sensing and radiative theory are reviewed using conceptual models to help organize scientific concepts. Some imagery is also included to illustrate concepts and relate them to sensor observations. This lesson is a part of the NWS Satellite Foundation GOES-R Course. More in-depth information on radiation and radiative transfer can be found ...Permalink