Weather

Description

On 1 February 2024 H SAF held a webinar on the new Moodle e-learning platform.

Content

On 1 February 2024 H SAF held a webinar on the new Moodle e-learning platform. Details about the platform were presented as well as case studies on soil moisture, snow and precipitation. 

 

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Description

A new conceptual model on Mediterranean hurricanes -  "Medicanes".

Content

Medicanes are rare, intense and destructive warm-core cyclones occasionally generated in Mediterranean Basin. 

Compared with tropical cyclones, medicanes are weaker and smaller in size, with diameters under 300 km, while the diameter of a hurricane is larger than 1000 km. Hurricanes move in general from east to west due to easterly winds, while medicanes generally (but not always) move from west to east due to the mid-latitude westerlies.

Medicanes mostly occur in the western Mediterranean and in the region extending from the Ionian Sea to the North African coast. There is strong variability from year to year without any significant trends.

 

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Description

A conceptual model on DIBS: A special kind of Cirrus clouds formed by dust

Content

The strongest influence of DIBS, and especially of dusty cirrus, on surface weather is mainly the reduced solar radiation reaching the ground as dust particles act as condensation nuclei and form clouds where otherwise no clouds would have been present. As current numerical weather prediction models do not accurately account for microphysical cloud formation processes caused by the additional dust at higher atmospheric levels, predicted maximum temperatures often have a considerable bias towards higher values.

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Description

Case Study of the pre-convective environment of 19th May 2021 using IASI sounder data.

 

Content

This Case Study of the pre-convective environment of 19th May 2021 using IASI sounder data focuses on exploring how the use of IASI retrievals added additional value to the forecast of the incoming storm over Hungary. 

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Description

Carla Barroso talks about the EUMETSAT Jupyter Notebooks for MTG and how to use them.

Content

To prepare users for the data from the MTG (Meteosat Third Generation) mission instruments, in particular the Flexible Combined Imager (FCI) and the Lightning Imager (LI), EUMETSAT has developed a series of Jupyter notebooks designed to demonstrate the capabilities of MTG instruments for weather applications. Some of these notebooks use proxy data from sources such as MODIS and GLM to allow users to familiarise themselves with the expected capabilities of MTG instruments, and there is a specific notebook focused on familiarising users with the FCI data format. These notebooks are available in the EUMETSAT GitLab repository https://gitlab.eumetsat.int/.

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Lecture slides

Description

Martin Raspaud dives into what Pytroll is, how to use it and how to contribute to the project.

Content

Developed jointly by professional software developers and experts in the remote sensing field, pytroll is a collection of free and open source python library for working with remotely sensed earth-observation data. MTG-I1, with its novel instruments, brings new information at a higher temporal and spatial resolution. While this is a challenge for data exploitation, the Pytroll team has been working hard to support the new data formats to allow working seamlessly with the new data and providing it with standard tools, both when working locally or in the cloud. Having EUMETSAT experts involved ensures state-of-the-art quality of the data. In this presentation, we will show how pytroll works and how it can be used for the exploitation of the MTG-I1 data as a seamless continuation of SEVIRI, both in operations and research.

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Lecture slides

Application
Description

Erdem Erdi discusses the technical aspects of the new MTG data. 

Content

MTG satellites will revolutionize the weather forecasting and nowcasting abilities over Europe by not only improving the legacy sensors but also introducing new ones. However, the data volume to be received and processed by the end-users will be much higher in order of magnitude with regards to the current MSG satellite data. In this presentation, the main access methods to the near real-time MTG data will be covered along with data format highlights.

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Lecture slides

Description

Sylvain Le Moal talks about use of lightning data at Meteo France.

 

Content

Meteo-France already has experience processing data for French overseas territories from next-generation satellites currently in operation, such as United States’ geostationary satellites. The Goes series weather satellites (Goes-16, -17 and -18), and the on-board Geostationary Lightning Mapper (GLM), have now been operational for several years. The GLM detects and maps total lightning – in-cloud, cloud-to-cloud, and cloudto-ground – continuously over the Americas and adjacent ocean regions. The performance of the GLM, the application and use of its data can be produced for forecasters, medias, and numerical weather prediction models.

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Lecture slides

Description

Jos de Laat talks about the way KNMI applies GLM data. 

 

Content

About five years ago KNMI started its first exploratory steps towards working with American NOAA/GOESGLM data. Originally initiated as a way to prepare for the MTG-LI mission, the activities naturally developed, expanded while perspectives broadened. I will discuss this path from the first exploratory steps all the way to where we currently are and the – sometimes unexpected – spin-off activities. These include:

• volcano: early warning, KNMI GEOWEB and the BES dashboard

• operational monitoring: data exploration/handling/visualization

• near-real-time probabilistic lightning prediction: artificial intelligence

• airport: auto-METAR

• network activities

As KNMI is very much a hybrid institute build around operational weather forecasting on the one hand and scientific geophysical research on the other hand there are some interesting observations and lessons I have learned that I will share at the end of the presentation.

 

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Lecture slides

Description

 Nicolau Pineda talks about the new LI and comparison between ground based and satellite based lightning measurements.

Content

The Meteosat Third Generation Lightning Imager (MTG-LI) is now providing continuous optical observations from the lightning occurring in Europe and Africa. Prior to the MTG-LI, the Lightning Imaging Sensor (LIS) onboard the International Space Station (ISS) offered a unique opportunity helping to prepare for the MTG-LI, since it has a similar detection principle. Whereas optical imagers like the ISS-LIS or and the MTG-LI use a narrow spectral infrared emission (777.4 nm) associated with hot lightning intra-cloud channels, commercial ground-based Lightning Location Systems (LLS) detect radio emissions in the low / very low frequency range to locate cloud-to-ground lightning. Therefore, differences between sensors and location techniques must be kept in mind when comparing lightning measurements from different systems. In this regard, the Lightning Mapping Array (LMA), which mostly detects intra-cloud discharges in the VHF range, is best suited for CalibrationValidation purposes.

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Lecture slides

Description

Bartolomeo Viticchie talks about the new Lightning Imager on the MTG.

Content

Bartolomeo Viticchie talks about the new Lightning Imager on the MTG.

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Lecture slides

Description

Pilar Rípodas talks about the improvements that the MTG will bring in regards to NWC SAF products.

Content

The Nowcasting SAF (NWC SAF) develops and distributes software packages to generate satellite derived products with application in nowcasting. Cloud products, precipitation products, stability product, wind product, convection products, products related to turbulence and extrapolation imagery are current products in the NWC SAF portfolio. A version of the NWC SAF software that supports the new EUMETSAT satellite MTG-I is been developed by the NWC SAF team. The first version (MTG day-1) is expected to be released early 2024. The improvements expected in the NWC SAF products in this version are presented. Some preliminary products with MTG-I data can be presented depending on the availability of data. A full exploitation of the new capabilities of MTG-I to improve the current NWC SAF products and to develop new ones will come in the following versions. The plans in this respect are presented.

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Lecture slides