Daniele D'Armiento

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)

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 …

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)