Global Campus
The WMO Global Campus E-Library
The WMO Global Campus initiative is proud to offer this WMOLearn Library of resources. This library provides a searchable collection of educational resources, including WMO publications and education and training materials from various contributing organisations and individuals. Search by WMO competency framework, Main Topics, Region and Country, and/or Nature of Information to find materials useful for training or self-directed learning.
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WMO Global Campus resources provided on this Site are provided “as is”, without warranty of any kind, either express or implied, including, without limitation, warranties of merchantability, fitness for a particular purpose and non-infringement. The WMO specifically does not make any warranties or representations as to the accuracy or completeness of any such resources.
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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.
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 ...
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 ...
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 ...
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)
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 ...
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 Course
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.
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.
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 ...
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 ...
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 ...
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 ...
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.
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.
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