Identify and interpret atmospheric phenomena
José Manuel Gálvez discusses El Niño and the use of satellite tools to monitor its development.
The session aims to build an understanding of how El Niño modifies weather and climate in tropical regions and beyond, with a focus on satellite-based and numerical weather prediction tools. It covers the basic concepts and definitions of El Niño, its typical impacts, monitoring and classification, and applications of satellite observations for monitoring its evolution and impacts. It also examines the expected impacts of the current El Niño event, which has already exceeded the intensity of previous events observed since 1950.
Ivan Smiljanić discusses the differences between tropical and midlatitude storms using various satellite products.
Deep moist convection exhibits distinct characteristics across the tropics and mid-latitudes, reflecting differences in thermodynamic environments, vertical wind shear, and the mechanisms governing storm organisation. This talk compares the genesis, organisation, and dynamics of tropical and mid-latitude convective storms and discusses how these differences influence their monitoring and observation from space-based platforms.
Mirriam Mwende Musyoka talks about monitoring and forecasting convection in the tropics, with a focus on Central and East Africa.
Deep, moist convection is the principal producer of high-impact weather in the tropics and remains one of the most demanding forecast problems in operational forecasting in the tropics. This presentation reviews three interlinked themes. First, the typical seasonal patterns of tropical convection, i.e., the Zonal and meridional migration of the Intertropical Convergence Zone and the resulting monsoonal and bimodal rainfall regimes of equatorial regions, the afternoon-to-evening convective maximum, and the modulation of convective activity by intraseasonal variability such as the Madden–Julian Oscillation. Seasonal tropical cyclone activity in the Indian Ocean basin is also placed within the same framework. Secondly, it examines the major hazards from these convective developments and their impacts. Heavy rainfall and flash flooding, lightning, hail, damaging downdrafts and gust fronts, and visibility-reducing phenomena affect local populations through loss of life, displacement, damage to infrastructure and agriculture, and disruption of surface transport. Third, the presentation reviews the forecasting and nowcasting methods used operationally. The presentation will conclude by discussing how these tools are integrated into early warning services for high-impact weather scenarios.
A collection of cases and colour interpretations derived from MTG proxy data from satellites such as GOES and Himawari.
Author(s): Marko Blaskovic
A developed convective system in Australia shows different cloud phases in a beautiful way, enabling the analysis of each part of the cloud using the Cloud Phase RGB product from the Himawari satellite.
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A collection of cases and colour interpretations derived from MTG proxy data from satellites such as GOES and Himawari.
Author(s): Marko Blaskovic
A case describing the differences between the two surface features using the Cloud Phase RGB and the Cloud Type RGB.
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Maria Putsay discusses convective clouds that form over wildfires, focusing on Pyrocumulonimbus clouds and their detection in satellite imagery.
Pyrocumulonimbus (pyro-Cb) clouds can form above wildfires. These are fire-aided or fire-caused convective clouds with considerable vertical development. Large amounts of smoke particles are injected into these clouds. The increased number of condensation nuclei causes extremely small ice crystals on the cloud tops. That is why the typical colors of these clouds vary in several RGBs. The cloud top color may help to identify pyro-Cb clouds, which might be dangerous by causing extreme low-level winds, and hence increasing fire spread.
Have you ever wondered what an Atmospheric River is or how to recognize it in model or satellite data? The freshly released training module will assist you by guiding you step by step through the identification process.
First you will learn some basic facts on Atmospheric Rivers; how and where they are created, their typical characteristics and their appearance in satellite and model data. Step by step, you will then be guided through the identification process until you are certain that you are dealing with the phenomenon that is called an Atmospheric River.
Later stages of Atmospheric Rivers are sometimes tricky to identify as they are often merged with mid-latitude frontal systems. But here again, model fields and the timely evolution can give a precise answer whether there is an embedded AR or not.
And finally, it is well invested time going through this training module as ARs are responsible for many floods and heavy precipitation in Western Europe once they make a landfall.
The purpose of this Training Module is to provide step-by-step instructions for identifying Atmospheric Rivers.
This mini-module is part of a series of MTG mini modules produced by EUMETSAT/EUMeTrain with the aim of providing quick and useful learning experience about the new satellite products.
In this exercise you are giving forecast for a shipment route that could be affected by a convective event.
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This mini-module is part of a series of MTG mini modules produced by EUMETSAT/EUMeTrain with the aim of providing quick and useful learning experience about the new satellite products.
In this exercise you will learn how to use LI data together with ground based measurements.
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This mini-module is part of a series of MTG mini modules produced by EUMETSAT/EUMeTrain with the aim of providing quick and useful learning experience about the new satellite products.
In this exercise you will learn how using MTG products can help you recognize convective initiation.
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This mini-module is part of a series of MTG mini modules produced by EUMETSAT/EUMeTrain with the aim of providing quick and useful learning experience about the new satellite products.
In this exercise you will learn about FCI ability to detect fires and how it compares to previous generation of satellite instruments.
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This mini-module is part of a series of MTG mini modules produced by EUMETSAT/EUMeTrain with the aim of providing quick and useful learning experience about the new satellite products.
In this exercise you will learn about features in LI data as well as some limitations.
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