Giulia Panegrossi

Detection and Tracking of Medicanes Through DeMeTrA Self-Supervised Vision Transformer

Daniele D'Armiento, Stefano Sebastianelli, Leo Pio D’Adderio, Paolo Sanò et autres

Medicanes are mesoscale cyclones that develop over the Mediterranean Sea and display tropical-like cyclone characteristics, including a warm core, spiral cloud organization, and deep convection over warm sea surfaces. Since their structure and position can change rapidly on short lead times before …

it (code pays fourni par la source)

New perspectives and advancements in microwave-based analyses and characterization of Medicanes

Leo Pio D’Adderio, Giulia Panegrossi, Stefano Sebastianelli, Daniele D'Armiento et autres

Medicanes are Mediterranean cyclones with the potential to cause devastating floods, storm surges and windstorms, often leading to significant disruption and casualties. During their mature phase, they exhibit tropical-like cyclone features, such as a warm core (WC), a cloud free eye surrounded …

it, us, fr (code pays fourni par la source)

DeMeTrA: A Two-Stage Coarse-to-Fine Deep Learning Framework for Medicane Detection and Tracking from MSG SEVIRI Image Sequences

Daniele D'Armiento, Stefano Sebastianelli, Leo Pio D’Adderio, Paolo Sanò et autres

Medicanes are rare Mediterranean tropical-like cyclones characterized by small spatial scales, rapid evolution, and in particular a warm core, a cloud free eye, and a closed ring of strong winds, leading to potentially severe coastal impacts, which require robust near-real-time detection and …

it (code pays fourni par la source)

Mediterranean Cyclone Jolina: Near Real-Time Detection of Medicane Formation Using Multi-Sensor Earth Observation

Giulia Panegrossi, ESA MEDICANES Project Team

Medicanes (Mediterranean hurricanes) are among the most hazardous high-impact weather systems affecting the Mediterranean basin, producing intense precipitation, severe winds, coastal flooding, and widespread socio-economic impacts in densely populated coastal regions. Recent advances in satellite Earth Observation are progressively transforming the monitoring …

it (code pays fourni par la source)

Detection and Tracking of Medicanes Through DeMeTrA Self-Supervised Vision Transformer

Daniele D'Armiento, Stefano Sebastianelli, Leo Pio D’Adderio, Paolo Sanò et autres

Medicanes are mesoscale cyclones that develop over the Mediterranean Sea and display tropical-like cyclone characteristics, including a warm core, spiral cloud organization, and deep convection over warm sea surfaces. Since their structure and position can change rapidly on short lead times before …

Machine Learning Approaches of WIVERN L2 Products of LWP and IWP and Consequences on Path Integrated Attenuation

Paolo Sanò, Mario Montopoli, Daniele Casella, Marco Coppola et autres

it, us (code pays fourni par la source)

Assessing the Contribution of the Arctic Weather Satellite to Improved Observation of Extreme Cyclonic Events: the hurricane Melissa Case Study

Andrea Camplani, Paolo Sanò, Daniele Casella, Leo Pio D’Adderio et autres

The launch of the ESA Arctic Weather Satellite Path Finder Mission (AWS-PFM), forerunner of the EUMETSAT EPS-Sterna mission, equipped with a cross-track scanning radiometer (Microwave Radiometer, MWR) which covers frequency between 50 and 325 GHz, represents an important improvement in satellite meteorology. …

it (code pays fourni par la source)

Evaluation of a deep learning model to classify convective and stratiform precipitation patterns

Alok Kushabaha, Juan Jesús González‐Alemán, Mario Marcello Miglietta, Daniele Mastrangelo et autres

The Mediterranean Sea is often affected by tropical-like cyclones, which cause heavy rainfall, strong winds, storm surges and flooding. The accurate classification of precipitation into convective and stratiform within these systems is essential for understanding storm dynamics and improving predictive models. In …

it, es (code pays fourni par la source)

A Benchmark Dataset for Satellite-Based Estimation and Detection of Rain

Simon Pfreundschuh, Malarvizhi Arulraj, Ali Behrangi, Linda Bogerd et autres

Accurately tracking the global distribution of precipitation is essential for both research and operational meteorology. Satellite observations remain the only means of achieving consistent, global precipitation monitoring. While machine learning has long been applied to satellite-based precipitation retrieval, the absence of a …

us, br, it, kr, de, cl (code pays fourni par la source)

Near-surface wind field characterization of medicanes using satellite observations

Stefano Sebastianelli, Leo Pio D’Adderio, Paolo Sanò, Daniele Casella et autres

MEDIterranean hurriCANES (Medicanes) represent a subcategory of Mediterranean cyclones that typically originate as extratropical systems then acquiring characteristics similar to tropical cyclones (TCs). These include the warm core, a nearly symmetric near-surface wind circulation, and eye-like features with spiraling rainbands. This study …

it (code pays fourni par la source)

A Benchmark Dataset for Satellite-Based Estimation and Detection of Rain

Simon Pfreundschuh, Malarvizhi Arulraj, Ali Behrangi, Linda Bogerd et autres

Accurately tracking the global distribution and evolution of precipitation is essential for both research and operational meteorology. Satellite observations remain the only means of achieving consistent, global-scale precipitation monitoring. While machine learning has long been applied to satellite-based precipitation retrieval, the absence …

GIRAFE v1: a global climate data record for precipitation accompanied by a daily sampling uncertainty

Hannes Konrad, Rémy Roca, Anja Niedorf, Stephan Finkensieper et autres

Here, we introduce the first version of the Global Interpolated RAinFall Estimation (GIRAFE v1), the first dedicated global climate data record for precipitation by the Satellite Application Facility on Climate Monitoring (CM SAF) of the European Organisation for the Exploitation of Meteorological …

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