Weather

Description

Hamidou Hama highlights the major socio-economic and environmental impacts of dust, focuses on the meteorological processes at various scales that are responsible for raising dust/sand storms in the arid Sahara Desert and the semi arid Sahel at its fringes.

Length: 40 minutes.

Content

This presentation, after highlighting the major socio-economic and environmental impacts of dust, focuses on the meteorological processes at various scales that are responsible for raising dust/sand storms in the arid Sahara Desert and the semi arid Sahel at its fringes. The challenges facing the weather forecaster in forecasting such high impact weather phenomena and the importance of satellite remote sensing in their monitoring were also addressed here.

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Competency Framework
Application
Description

Christopher Perez gives an insight into Typhoons and their features.

Length: 35 minutes.

Content

Christopher Perez, a weather forecaster of the Philippine Atmospheric, Geophysical, and Astronomical Services Administration (PAGASA) will gave an insight into Typhoons and their features. Specifically, he presented the chronology of events regarding Typhoon "Haiyan", one of the strongest tropical cyclones ever recorded, which devastated portions of Southeast Asia, particularly the Philippines, on November 8, 2013.

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Description

Jean Bidlot presents probabilistic forecasting based on ensemble technique to ascertain the probability of extreme weather, including wave parameters.

Length: 45 minutes.

Content

For any operation at sea or in the coastal area, forecasts of the sea state are essential. The quality of those forecasts has steadily improved over the years as attested by the successful forecasts of the many large waves events that affected the Euro-Atlantic coast during last winter. Nevertheless, forecasts of high impact weather can still be uncertain. For this reason, probabilistic forecasting based on ensemble technique should be used to ascertain the probability of extreme weather, including wave parameters, as well as possible alternative scenarios. It is known that freak waves do occur and can result in major damages and losses. Predicting those events is more challenging, nevertheless advances in the theoretical frameworks for those situations have been made and has resulted in new forecasts parameters.

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Description

Helge Tuschy's talk offered an insight into the ingredients-based forecasting method, which assists an operational forecaster in preparing well ahead of an active thunderstorm day.

Length: 60 minutes.

Content

This talk offered an insight into the ingredients-based forecasting method, which assists an operational forecaster in preparing well ahead of an active thunderstorm day. Mr. Tuschy also gave an overview about certain ingredients which could result in heavy rainfall and flash flooding (due to deep moist convection). He ended his talk with a short overview about ESTOFEX, the European Storm Forecast Experiment.

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Competency Framework
Application
Description

Zanita Avotniece gives a brief presentation on the use of satellite data for climate applications and introduces an online satellite-based climate viewer.

Length: 30 minutes.

Content

Zanita Avotniece gave a brief presentation on the use of satellite data for climate applications and introduced an online satellite-based climate viewer that has been published recently.

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Application
Description

Ivan Guettler discusses climate extremes in the context of observed climate change. 

Length: 30 minutes

Content

Climate extremes were discussed in the context of the observed climate change and associated trends. The issue of attributing specific weather extreme to climate change was stressed. Several impacts on human activities was presented and estimated economical and human losses due to the weather and climate extremes were compared over different regions.

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Description

Overview on the H SAF satellite derived precipitation products.

Content

The EUMETSAT Satellite Application Facility for Operational Hydrology and Water Management (H SAF) provides satellite products and user services in support to Operational Hydrology, Meteorology, Risk Management and Water Management. Since 2005, H SAF science and research bridge into operations through the development and dissemination of soil moisture, precipitation and snow products based on the exploitation of primary EUMETSAT missions. During the fourth Continuous Development and Operations Phase (CDOP-4, from 2022 to 2027), H SAF products will be primarily based on the Meteosat Third Generation (MTG) and the EUMETSAT Polar System -Second Generation (EPS-SG) missions. Current products are based on the use of the full constellation of microwave (MW) radiometers for Level 2 passive microwave (MW) precipitation products and for MW/IR combined products for near-real time applications over the Meteosat Second Generation (MSG) full disk area. The presentation will provide a full overview of the current status and future development of the operational precipitation product portfolio as well as the product quality assessment strategy and results. Examples of applications for specific case studies will be also presented.

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Description

Overview on the H SAF satellite derived soil moisture products.

Content

The EUMETSAT Satellite Application Facility on Support to Operational Hydrology and Water Management (H SAF) develops and provides operational satellite products for precipitation, snow and soil moisture. These satellite products have a wide range of applications, but especially play a key role in numerical weather prediction.

The H SAF soil moisture product suite is composed of surface and root zone soil moisture products available at various spatial resolution, ranging from 1 km to 50 km. Surface Soil Moisture (SSM) products are based on backscatter observations provided by the Advanced Scatterometer (ASCAT) onboard the series of Metop satellites using the EUMETSAT H SAF TU Wien soil moisture retrieval algorithm, whereas Root Zone Soil Moisture (RZSM) products assimilate H SAF SSM products within the ECMWF/H SAF land data assimilation system. At the moment, two ASCAT instruments are currently operational on-board Metop-B and Metop-C.

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Description

Introduction of the H SAF project, the history of the SAFs, the introduction of the HSAF Workshop and its agenda from the main organizers.

Content

An introduction of the HSAF project, the history of the SAFs, the introduction of the HSAF Workshop and its agenda from the main organizers.

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Description

Christine Träger-Chatterjee presents the prototype Data Cube for Drought and Vegetation Monitoring, and tools to manipulate the data in the cube.

Content

EUMETSAT provides a prototype Data Cube for Drought and Vegetation Monitoring, and tools to manipulate the data in the cube. This prototype consists of long-term data records on a regular latitude / longitude grid and in CF-compliant NetCDF via THREDDS.

The prototype seeks to explore how well EUMETSAT and partners can bring together data from multiple sources and from multiple grids to ease barriers to use of the data for thematic applications.

This presentation reports on the lessons learnt as regards the creation, provision and use of the data cube.

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Description

Mariette Vreugdenhil demonstrates the use of the EUMETSAT H SAF soil moisture (H116, SM) and SM2RAIN (H64) products to predict yields for Morocco and Senegal.

Content

We demonstrate the use of the EUMETSAT HSAF soil moisture (H116, SM) and SM2RAIN (H64) products to predict yields for Morocco and Senegal. Root-zone SM was calculated from SM, and NDVI was used as a vegetation indicator. Data on yields was obtained from the Food and Agriculture Organization of the United Nations.

Yield prediction was done for main crops using multiple linear regression and a time for space approach. SM improved yield prediction, especially early in the growing season, improving early warning capabilities. NDVI showed better predictions later in the growing season. SM2RAIN outperformed other benchmark rainfall datasets.

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Description

Antonio Parodi presents a critical review of the forecasting performances of each model involved in the CIMA hydrometeorological chain on the example of Medicane Apollo.

Content

During the last week of October 2021 an intense Mediterranean hurricane (medicane), named Apollo, affected many countries on the Mediterranean coasts. The deaths toll peaked up to 7 people, due to flooding from the cyclone in the countries of Tunisia, Algeria, Malta, and Italy.

The Apollo medicane persisted over such areas for about one week (24 October – 1 November 2021) and produced very intense rainfall phenomena and widespread flash flood and flood episodes especially over eastern Sicily on 25-26 October 2021.

CIMA Foundation hydro-meteorological forecasting chain, including the cloud-resolving WRF model assimilating radar data and in situ weather stations (WRF-3DVAR), the fully distributed hydrological model Continuum, the automatic system for water detection (AUTOWADE), and the hydraulic model TELEMAC-2D, has been operated in real-time to predict the weather evolution and the corresponding hydrological and hydraulic impacts of the medicane Apollo, in support of the Italian Civil Protection Department early warning activities and in the framework of the H2020 LEXIS and E-SHAPE projects.

This work critically reviews the forecasting performances of each model involved in the CIMA hydrometeorological chain, with special focus on temporal scales ranging from very short-range (up to 6 hours ahead) to short-range forecasts (up to 48 hours ahead).

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