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.
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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Mesoscale Banded Precipitation
Precipitation frequently falls and accumulates in discrete bands with accumulations that vary markedly over short distances. This module examines several mechanisms that result in mesoscale banded precipitation, focusing primarily on processes at work in midlatitude cyclones. The module starts with a review of the Norwegian and conveyor belt cyclone models. Then several banding processes are examined in detail, including deformation/frontogenesis, the Trowal (Trough of Warm Air Aloft), frontal merger, CSI/slantwise convection, and melting/evaporation-induced circulations. The module concludes ...
Available online: https://www.meted.ucar.edu/training_module.php?id=169
Published by: The University Corporation for Atmospheric Research ; 2005
Precipitation frequently falls and accumulates in discrete bands with accumulations that vary markedly over short distances. This module examines several mechanisms that result in mesoscale banded precipitation, focusing primarily on processes at work in midlatitude cyclones. The module starts with a review of the Norwegian and conveyor belt cyclone models. Then several banding processes are examined in detail, including deformation/frontogenesis, the Trowal (Trough of Warm Air Aloft), frontal merger, CSI/slantwise convection, and melting/evaporation-induced circulations. The module concludes with discussions of the representation of banded precipitation by NWP models and the detection of banded precipitation with satellite sensors.
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: Evaporation ; Cyclone ; Lesson/ Tutorial
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Assessing NWP with Water Vapour Imagery
You've seen it happen repeatedly. Forecasters have a tough forecast ahead of them. But how are they supposed to know which model data will be the best one to help them come to a conclusion about the situation? In situations like this, the first step should always be to assess the model data against a set of current observations that should show a 1-to-1 relationship with the model output. Which variable should be plotted? On which surface? Which current observations will make the most sense to assess against? If you know the answers to some, but not all of these questions, find these answers a ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1137
Published by: The University Corporation for Atmospheric Research ; 2015
You've seen it happen repeatedly. Forecasters have a tough forecast ahead of them. But how are they supposed to know which model data will be the best one to help them come to a conclusion about the situation? In situations like this, the first step should always be to assess the model data against a set of current observations that should show a 1-to-1 relationship with the model output. Which variable should be plotted? On which surface? Which current observations will make the most sense to assess against? If you know the answers to some, but not all of these questions, find these answers and more by going through this lesson.
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 ; Satellite Skills and Knowledge for Operational Meteorologists
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Operational Models Encyclopedia
The availability of numerical guidance from NWP models has been an important component of operational forecasting for decades. For many, the output from this numerical guidance was produced by a mysterious “black box”. Rules for using and adjusting the guidance for operational forecasters were often subjective “Rules of Thumb” based on experience rather than based on quantitative analysis. To open up this “black box”, we produced this web-based “Operational Models Encyclopedia” linking both generic information on how NWP models work, and specifics on physical parameterizations, dynamics, and d ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1186
Published by: The University Corporation for Atmospheric Research ; 2015
The availability of numerical guidance from NWP models has been an important component of operational forecasting for decades. For many, the output from this numerical guidance was produced by a mysterious “black box”. Rules for using and adjusting the guidance for operational forecasters were often subjective “Rules of Thumb” based on experience rather than based on quantitative analysis. To open up this “black box”, we produced this web-based “Operational Models Encyclopedia” linking both generic information on how NWP models work, and specifics on physical parameterizations, dynamics, and data assimilation in operational models. Ensemble Prediction systems and Marine Wave models are included as well. Content is updated as operational models upgrades are implemented or new models are added to the operational NWP suite. While the time estimated for completion is listed as 2-3 hours, that only applies to reviewing the full resource. Actual time spent should be much less, depending on the model component being researched.
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 ; Marine meteorology ; Forecast uncertainty ; Lesson/ Tutorial ; Marine Weather Forecasters ; NWP Skills and Knowledge for Operational Meteorologists
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S-290 Unit 3: Fuels
S-290 Unit 3: Fuels covers the effects of fuels on fire behavior and the terminology for describing fuel characteristics, as well as fuel models used for classification. This module is part of the Intermediate Wildland Fire Behavior Course.
Available online: https://www.meted.ucar.edu/training_module.php?id=549
Published by: The University Corporation for Atmospheric Research ; 2009
S-290 Unit 3: Fuels covers the effects of fuels on fire behavior and the terminology for describing fuel characteristics, as well as fuel models used for classification. This module is part of the Intermediate Wildland Fire Behavior Course.
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
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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 ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1415
Published by: The University Corporation for Atmospheric Research ; 2018
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 v3.1? (http://www.meted.ucar.edu/nwp/blend_v31/NBM_v31_script.pdf)
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 ; Fire weather ; Lesson/ Tutorial ; NWP Skills and Knowledge for Operational Meteorologists
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Introduction to Observing Oil from Helicopters and Planes
Aircrews and pilots are frequently the first to see oil spills on water. They provide critical eyes in the sky for U.S. Coast Guard (USCG) response teams and NOAA's Office of Response and Restoration. Oil spill responders use a common terminology for describing and reporting oil spills. This lesson teaches aircrews how to identify, describe, and report spills using that terminology. Misidentifying natural events as oil spills is a common, and sometimes expensive, mistake. This lesson also points out common false positives when trying to identify oil spills. While our primary audience for this ...
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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.
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Forecasting Tropical Cyclone Storm Surge
This lesson introduces forecasters to the various probabilistic guidance products used by the National Hurricane Center to forecast storm surge. It provides an overview of how these probabilistic surge products are created, their purposes, and why they are preferred to deterministic-only style guidance for specific events. The lesson also provides practice in correctly interpreting probabilistic storm surge guidance at various phases of an event. Basic familiarity with probabilistic forecast guidance is required. This online lesson is part of the Tropical Cyclone Storm Surge: Forecasting and C ...
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The Amazon Rain Forest and Climate Change
This module discusses global climate change that is occurring largely because of greenhouse gases emitted by human activities, and in particular the impact that tropical deforestation plays in the climate system. It also covers signs of climate change, the current thinking on future changes, and international agreements that are attempting to minimize the effects of climate change. The United Nations Collaborative Programme on Reducing Emissions from Deforestation and Forest Degradation in Developing Countries (UN-REDD Programme) is also discussed.
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Introduction to Meteorological Charting
This lesson provides a brief overview of surface and upper-air data and how these data are plotted on meteorological charts. The content introduces various charting and reporting techniques, including station models, contour analyses, streamlines, and upper air maps. Examples cover both the Northern Hemisphere and Southern Hemisphere and provide learners with opportunities to practice recognizing frequently used weather symbols. Supplemental materials include three Weather Symbol Identification drills. Completing these drills may require approximately 1-1.5 hours above the length of time estim ...
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MJO, Equatorial Waves, and Tropical Cyclogenesis
This case study focuses on monitoring of the MJO and equatorial waves and their role in tropical cyclogenesis. Learners will use conceptual models to understand the structure of the MJO and equatorial waves. They will identify and monitor those circulations using geostationary satellite images. 850-hPa synoptic analysis is used to track equatorial Rossby and mixed Rossby-gravity waves. Focus is on May 2002, a period when an MJO and associated equatorial waves spawned sets of twin cyclones over the Indian Ocean. This case study is similar to a synoptic meteorology laboratory exercise but is des ...
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Model Fundamentals - version 2
Model Fundamentals, part of the Numerical Weather Prediction Professional Development Series and the "NWP Training Series: Effective Use of NWP in the Forecast Process", describes the components of an NWP model and how they fit into the forecast development process. It also explores why parameterization of many physical processes is necessary in NWP models. The module covers background concepts and terminology necessary for learning from the other modules in this series on NWP. Back in 2000, the subject matter expert for this module was Dr. Ralph Petersen of the National Centers for Environmen ...
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Understanding Drought
Understanding Drought--This webcast provides an introduction to drought. It presents the measures and scales of drought and how drought is monitored. It also covers how drought is predicted, the impacts of drought, and provides information about drought-related resources. This content serves as a foundation to learning more about climate variability and operational climate services and prepares users for the national implementation of NIDIS. This module was last updated on Sept 28, 2009.
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Mesoscale Meteorology Effects on Fire Behavior
The “Mesoscale Meteorology Effects on Fire Behavior” module reviews the development of thermally forced winds in complex terrain and explores how these winds combine with the effects of terrain to influence fire spread. Three-dimensional conceptual animations illustrate these effects through a 24-hr period, as members of the team working this theoretical fire describe different aspects of weather, fire behavior, and operational fire fighting decisions at specific times during this day. This module is part of the Advanced Fire Weather Forecasters Course.
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ASMET: Satellite Precipitation Products for Hydrological Management in Southern Africa
This module introduces a variety of meteorological and hydrological products that can improve the quality of heavy rainfall forecasts and assist with hydrological management during extensive precipitation events in Southern Africa. Among the products are the satellite-based ASCAT, SMOS, and ASAR GM soil moisture products and the hydro-estimator. The products are presented within the context of a case, the flooding of South Africa's Vaal Dam region in 2009/2010.
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