Weather

Description

Ivan Smiljanic shows how to detect low level moisture with the FCI.

Content

This talk will provide insights into how FCI instrument can be used to detect moisture in the layers close to the surface. Up until the introduction of FCI instrument, the concept of low-level moisture estimation, using solely data from imagers on board GEO satellites was to high degree limited to so-called split window difference (e.g. SEVIRI BTD12.0-10.8). Perhaps the biggest down side of this approach is the fact that BT difference relies heavily on the vertical temperature profiles of the atmosphere (the temperature of moisture level). With introduction of water vapour absorption channel in the NIR spectral region this dependency is avoided. Hence the novel NIR0.91 FCI channels is seen as one of the crucial tools for nowcasting of severe storms, i.e. assessment of pre-conditions and moisture feeding dynamics of convective systems.

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Lecture slides

Description

Mária Putsay talks about the new Cloud Phase RGB.

Content

The presentation is about the Cloud Phase RGB, a new product for European users of GEO satellite data, which can be constructed using data from the Flexible Combined Imager (FCI) on the Meteosat Third Generation (MTG) satellite system. The aim of this RGB is to provide improved microphysical information about the cloud tops. This is achieved by using two near-infrared microphysical channels together. It is a daytime RGB and can be used in low-, mid- and high-latitude regions. The main application areas of the Cloud Phase RGB are in cloud analysis: convective clouds, fog and low clouds; aerosol-cloud interaction. The main characteristics of this RGB are demonstrated using proxy data from Japanese and American satellites: Himawari/AHI, GOES/ABI, NPP and NOAA-20/VIIRS.

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Lecture slides

Description

Carl Jones talks about his experience with the Cloud Type RGB, that will be the RGB using the new 1.38 μm channel on the FCI.

Content

The Day Cloud Type RGB (1.38, 0.64, 1.61) is a multispectral imagery product made with the original intent of more easily observing cirrus clouds. However, it has shown utility in monitoring convection, particularly through the use of the 1.38 μm channel. This presentation will explore potential convection applications offered by the Day Cloud Type RGB as seen by the Advanced Baseline Imager (ABI).

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Lecture slides

Description

Federico Fierli shows how to use satellite imagery for observing aerosol.

Content

Aerosol particles are a key component of weather and climate atmospheric system. Satellite offer the unique advantage to provide a global view with a long-term continuity. We will explore the methods to retrieve aerosol burden with the associated uncertainties for several cases as dust plumes and wildfire emissions. The presentation addresses the data chain from retrieval using different orbital geometries, spectral regions and geophysical products to advanced products as Climate Data Records to the assimilation process.

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Lecture slides

Description

Johan Strandgren talks about the FCI True Colour Imagery.

Content

The Flexible Combined Imager (FCI) on-board MTG-i1 introduces a unique capability: generating geostationary true colour imagery over Europe and Africa. This is typically achieved by combining data from three channels centred at red, green and blue wavelengths. However, FCI's green channel (0.51 microns) partially misses the spectral reflectance peak of chlorophyll around 0.55 microns, leading to inaccurate depiction of vegetation and barren surfaces. To address this limitation, a novel green band correction technique using the normalized difference vegetation index has been developed and utilized for the first release of true colour images from FCI. The new FCI true colour composite is also the corner stone for the ongoing development of the FCI GeoColor RGB composite. This composite incorporates the elements from the ABI GeoColor composite, by blending true colour imagery with night-time infrared imagery and city lights, as well as other relevant features such as wildfires and LI lightning events.

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Lecture slides

Description

Martin Setvak demonstrates comparison between new FCI data with MSG and VIIRS, focusing on convective storms.

 

Content

The presentation will address preliminary comparison of the MTG-I1 FCI imagery (based on FCI commissioning data) with MSG SEVIRI and NPP/JPSS VIIRS data, with focus on convective storms.

 

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Lecture slides

Description

Jochen Grandell talks about what MTG is, comissioning of satellite system, schedule for data product releases and more.

Content

Meteosat Third Generation is a system consisting of 4 MTG-I and 2 MTG-S satellites. This presentation provides on outlook into what MTG is, what commissioning of a satellite system means, the schedule for data product releases, and how MTG-I and MTG-S eventually will work together.

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Lecture slides

Description

Cloud Phase RGB is a new product for European users of GEO satellite data, which can be constructed using data from the Flexible Combined Imager (FCI) on the Meteosat Third Generation (MTG) satellite system. The aim of this RGB is to provide improved microphysical information on cloud tops, in particular discrimination between thick water clouds and thick ice clouds, and cloud top particle size.

Content

This extended guide is about the Cloud Phase RGB, a new product for European users of GEO satellite data, which can be constructed using data from the Flexible Combined Imager (FCI) on the Meteosat Third Generation (MTG) satellite system. It uses one of the new FCI channels, not available with the SEVIRI instrument. This document is an extended guide discussing its characteristics in detail; a quick guide is also available on the EUMeTrain webpage. In this guide, the imagers of Japanese and American geostationary satellites (Himawari/AHI and GOES/ABI) and polar satellites (NPP and NOAA-20/VIIRS) are used to provide proxy data for the FCI.

 

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Description

Identify and locate features indicating regions of possible turbulence.

Content

This module teaches you how to use satellite data to observe and analyze atmospheric phenomena. It will show you which products can be used to identify dust storms, smoke, fires, precipitation, etc.

To access the resource click here.


Note: all resources are provided as an external link which redirects you to https://eumetcal.eu where you will need to create a user account in order to gain access to the course

Description

Identify and locate aerosols and particulate pollution.

Content

This module teaches you how to use satellite data to observe and analyze atmospheric phenomena. It will show you which products can be used to identify dust storms, smoke, fires, precipitation, etc.

To access the resource click here.


Note: all resources are provided as an external link which redirects you to https://eumetcal.eu where you will need to create a user account in order to gain access to the course

Description

Identify and locate moisture features, precipitation types and amounts.

Content

This module teaches you how to use satellite data to observe and analyze atmospheric phenomena. It will show you which products can be used to identify dust storms, smoke, fires, precipitation, etc.

 To access the resource click here.


Note: all resources are provided as an external link which redirects you to https://eumetcal.eu where you will need to create a user account in order to gain access to the course

Description

Identify and locate dust and sand storms and plumes and areas of raised dust.

Content

This module teaches you how to use satellite data to observe and analyze atmospheric phenomena. It will show you which products can be used to identify dust storms, smoke, fires, precipitation, etc.

To access the resource click here.


Note: all resources are provided as an external link which redirects you to https://eumetcal.eu where you will need to create a user account in order to gain access to the course