Resources

EUMETSAT's first prototype Data Cube: Gridded data for drought and vegetation monitoring – lessons learned

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

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Satellite soil moisture and rainfall for yield prediction in water limited regions

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

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A complete meteo-hydrological chain to support early warning systems from weather scenarios to flooded areas: the Apollo medicane use case

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

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Satellite products at SHMÚ and their potential in monitoring precipitation and drought conditions

Ján Kanák presents the operational satellite products for precipitation detection, the procedure for their validation and a case study showing the use of…

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Drought analysis over the USA using long-term climatological SM2RAIN datasets

Hamidreza Mosaffa presents a study that aims 1) to develop the long-term climatological SM2RAIN datasets for the period of 1998–2020 by merging two rainfall…

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Assimilation of Metop ASCAT observations into the ISBA model: evaluation of the added-value of machine learning

Jean-Christophe Calvet presents a neural network that has been trained using the modelled surface soil moisture (SSM), soil temperature, rainwater…

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Flood forecast combining hydrological modelling and Machine

Boris Gratadoux presents an automatic flood forecast tool that combines two kinds of information used as input of a Machine Learning algorithm.

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Satellite-based rainfall estimation for river flow modelling in Morocco

Yves Tramblay presents the results of a study that evaluates satellite rainfall products for hydrological modelling over 12 basins in Morocco using four…

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