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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 ...
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.
Satellite Foundational Course for GOES-R: SatFC-G (SHyMet Full Course Access)
The Satellite Foundational Course for GOES-R (SatFC-G) is a series of nearly 40 lessons designed specifically for National Weather Service (NWS) forecasters and decision makers to prepare for the U.S.’ next-generation geostationary environmental satellites. The course is intended to help learners develop or improve their understanding of the capabilities, value, and anticipated benefits from the GOES-R suite of instruments. These instruments and imagery offer improved monitoring of meteorological, environmental, climatological, and space weather phenomena and related hazards. The course will a ...
Predicting Convective Cessation for Aviation Forecasters
This module introduces aviation forecasters to a conceptual framework for analyzing, diagnosing and predicting convective cessation and resulting conditions near airports. Users will first learn about five main environments with respect to convection, and three patterns in which these environments are commonly arranged. Next, users are immersed into an adjustable-time case simulator to practice applying the convective environment frameworks to their forecast process, while periodically amending TAFs and responding to warning, storm report and caller interruptions. Finally, a case summary ties ...
Introduction to Climatology for the Tropical Pacific Islands
This lesson provides information on climatology—what it is, the factors that create an area's climate, and the sources and uses of climate information. Focused specifically on tropical Pacific islands, the content covers the key features influencing climate in that region and includes examples for four locations distributed across the tropical Pacific Ocean, both north and south of the equator. The lesson provides a basic introduction to tropical climatology intended for a wide range of users, from meteorology technicians, forecasters, and scientists, to those in industries or sectors influenc ...
Mesoscale Ocean Circulation Models
This module examines mesoscale ocean circulation models and features and processes that they predict. These models simulate temperature, salinity, currents, and elevation in 3 dimensions through a period of time. They have sufficient resolution to simulate features like fronts, eddies, upwelling, and internal tides. In this module, we examine current operational models, limitations to model forecasts, examples of predicted ocean features, and potential applications.
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.
How Mesoscale Models Work
The goal of this training module is to help you increase your understanding of how mesoscale models work. Such understanding, in turn, can help you more efficiently and accurately evaluate model-generated forecast products.
Mesoscale forecasting and its applications : lectures presented at the fortieth session of the WMO Executive Council
Five lectures are presented: "The data base and physical basis of mesoscale forecasting"; "Mesoscale weather systems - South American phenomena"; "The monitoring and prediction of rainstorms and severe convective weather systems in China"; "Development of mesoscale models for prediction of meteo-rological elements" (in Russian); and "Mesoscale forecasting applications" (in French).
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