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Tropical Fog: A Look at Fog That Impacts Aviation in Guyana
This module applies concepts covered in the module, Fog: Its Processes and Impacts to Aviation. It examines the fog processes at a tropical location: Guyana. A basic overview of the main fog types is provided, and then a detailed analysis is done for a representative fog event at the Cheddi Jagan International Airport in Guyana. Conclusions are made about fog processes in Guyana which can then be applied to forecasting for aviation impacts.
ASMET 7: Forecasting Fog for Aviation: Kenya Case Study
This lesson aims to improve aviation forecasts of fog in the African airspace by teaching forecasters to make more accurate forecasts using satellite imagery, numerical weather prediction, and other available data. A process for diagnosing and forecasting fog is presented and applied to a case over the Nairobi, Kenya region. Learners assume the role of aviation forecaster, analysing various products to determine whether the current Terminal Aerodrome Forecast (TAF) is valid or needs to be amended. The lesson is intended for aviation forecasters, general weather forecasters interested in aviati ...
Introduction to VIIRS Imaging and Applications
This lesson introduces the VIIRS imager that operates on the current U.S. Suomi NPP satellite and is planned for future JPSS environmental satellites. VIIRS has many advanced features that improve both spectral and spatial resolution and enable the delivery of consistent, high quality, and high resolution data to users worldwide. The lesson covers the enhanced capabilities of VIIRS and highlights some of its applications. These include single channel and multispectral products used to monitor dust, volcanic ash, convection, fog and low clouds, sea surface temperature, tropical cyclones, contra ...
Introduction to Ensembles: Forecasting Hurricane Sandy
This module provides an introduction to ensemble forecast systems with an operational case study of Hurricane Sandy. The module concentrates on models from NCEP and FNMOC available to forecasters in the U.S. Navy, including NAEFS (North American Ensemble Forecast System), and NUOPC (National Unified Operational Prediction Capability). Probabilistic forecasts of winds and waves developed from these ensemble forecast systems are applied to a ship transit and coastal resource protection. Lessons integrated in the case study provide information on ensemble statistics, products, bias correction and ...
Caribbean Radar Cases
This module presents radar case studies taken from events in the Caribbean that highlight radar signatures of severe weather. These cases include examples of deep convection, squall lines, bow echoes, tornadoes, and heavy rain resulting in flooding. Each case study includes a discussion of the conceptual models of each type of event as a review before showing the radar signatures and allowing the learner to analyze each one.
Satellite Feature Identification: Inferring Three Dimensions from Water Vapour Imagery
We think in three-dimensional space and a fourth dimension, time. Therefore, we should think about the atmosphere in similar terms. However, we are often stuck with two-dimensional maps. Water vapor imagery can help us break out of that flatland and move to more dimensions. This imagery holds so much under-utilized potential. We can actually see three-dimensional structures evolving in near-real-time. And if we have a good handle on the current three-dimensional structure, we can then use NWP to its fullest as a verification/interrogation instrument for our 3D mental model. Come see the atmosp ...
Tropical Mesoscale Convective Systems
Mesoscale Convective Systems (MCSs) occur globally and can account for significant percentages of the annual precipitation in some locations. MCSs are responsible for flooding as well as damaging surface winds in some instances. Thus, it is important for forecasters to understand when, where, and how MCSs develop and maintain themselves. This module covers all modes of MCSs with a strong focus on the tropics and the different aspects that brings to MCS development, maintenance, and structure. It describes conceptual models of MCSs and the dynamical and physical processes that influence their e ...
GOES-R ABI: Next Generation Satellite Imaging
This extension of the COMET lesson “GOES-R: Benefits of Next Generation Environmental Monitoring” focuses on the ABI instrument, the satellite's 16-channel imager. With increased spectral coverage, greater spatial resolution, more frequent imaging, and improved image pixel geolocation and radiometric performance, the ABI will bring significant advancements to forecasting, numerical weather prediction, and climate and environmental monitoring. The first part of the lesson introduces the ABI's key features and improvements over earlier GOES imagers. The second section lets users interactively ex ...
Advanced Satellite Sounding: The Benefits of Hyperspectral Observation - 2nd Edition
This lesson is an update to the 2008 expert lecture on hyperspectral observations presented by Dr. Mitch Goldberg, Program Scientist for NOAA's Joint Polar Satellite System (JPSS) Program. The lesson discusses what hyperspectral observations are, how they are made, some current products, their contributions to improved monitoring of the atmosphere, oceans, and land surfaces, as well as their impact on numerical weather prediction. The lesson begins by discussing the importance of satellite observing systems. From there, it reviews the principles of remote sensing that are needed for deriving p ...
Regional Study Guide: Review for Aeronautical Forecasters in Africa, selections from Introduction to Tropical Meteorology, 2nd edition
This Regional Study Guide highlights the sections of the Introduction to Tropical Meteorology, 2nd Edition online textbook that are applicable to aeronautical forecasting operations in Africa. Topics include remote sensing, global circulations, tropical variability, tropical cyclones and the challenges encountered when forecasting tropical weather. The guide consists of a list of links to the content in the textbook and has its own stand-alone quiz.
WRF-EMS Aviation Products
This lesson illustrates how numerical guidance from the Weather Research and Forecasting Model - Environmental Modeling System (WRF-EMS) can be added to surface observations, satellite graphics, and conceptual models of important aviation phenomena, to produce TAFs. Specifically, the lesson describes how visibility, cloud ceilings, and the flight categories variables provide values for aviation forecasts in Africa.
Nowcasting for Aviation in Africa
Nowcasting for Aviation in Africa summarizes techniques and best practices for developing area-specific forecasts at very short (0-6 hour) timescales. This 1-hour lesson presents a case study focused on interpreting threats and communicating correct warning information for a weather event affecting multiple airports in Gauteng Province, South Africa. In completing the lesson, the learner will assess the state of the atmosphere, develop a nowcast, monitor conditions, and update/create appropriate nowcast products for aviation stakeholders.
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Subseasonal to seasonal prediction project: bridging the gap between weather and climate
Great progress has been made in recent decades on development and applications of medium-range weather forecasts and seasonal climate predictions. The subseasonal to seasonal project will bring the weather and climate communities together to tackle the intervening time range, harnessing shared and complementary experience and expertise in forecasting, research and applications, toward more seamless weather/climate prediction systems and more integrated weather and climate services.
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Predictability Beyond the Deterministic Limit
Our ability to reduce disaster risk relies on the full engagement of local governments. When national and local governments work together, they can be a formidable alliance for risk reduction.
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