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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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 ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1044
Published by: The University Corporation for Atmospheric Research ; 2014
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 lesson is aircrews, other flight crew members may find this lesson useful, including personnel from Incident Management Divisions and the Coast Guard Auxiliary. In the event that a spill has been reported, pilots and aircrews may find themselves supporting a mission with trained oil spill observers on board. This lesson also provides information on how to work most effectively with those observers to ensure a successful mission.
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: Convergence line ; Lesson/ Tutorial
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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.
Available online: https://www.meted.ucar.edu/training_module.php?id=1264
Published by: The University Corporation for Atmospheric Research ; 2016
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.
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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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 ...
Available online: https://www.meted.ucar.edu/training_module.php?id=1159
Published by: The University Corporation for Atmospheric Research ; 2015
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 Communication 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: Storm surge ; Marine meteorology ; Lesson/ Tutorial ; Marine Weather Forecasters
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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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Heavy Banded Snow
This webcast is based on a presentation by Dr. Moore MSC/COMET Winter Weather Workshop in Boulder, CO, 4 December 2002. In it, he covers the definition of the TROWAL and its role in heavy snow production in the form of bands primarily located to the northwest of the surface low. The various conveyor belts associated with mature winter cyclones are emphasized. The roles of mid-level frontogenesis and conditional symmetric instability in these systems are discussed in the context of heavy snow development.
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Writing Effective TAFs in the Caribbean
The module reviews the fundamental steps for writing a Terminal Aerodrome Forecast (TAF) using guidelines and recommendations developed by the World Meteorological Organization (WMO) and the International Civil Aviation Organization (ICAO). This module outlines effective forecast methodologies to develop TAFs that represent the expected conditions that aviation customers can use to make operational decisions and minimize unnecessary costs. The module walks users through the process of analysis of satellite, surface, and observational data to create a TAF forecast for an airport in the Caribbea ...
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The U.S. Naval Observatory: Mission, Products, and Services
Founded in 1830, the United States Naval Observatory (USNO) is among the oldest scientific agencies in the United States. Initially tasked with restoring, repairing, and rating nautical instruments, the USNO today provides precise time and celestial measurements required for GPS, telecommunications, navigation, and other operations. Intended as an introduction to the USNO, this module examines how the Observatory goes about its mission, and briefly describes the science behind its observations and publications.
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