Výsledky vyhledávání - "Gabriel Arnould"

A Deep Learning approach for MCS detection: application for storm tracking and nowcasting

Autor: Gabriel Arnould, Thibaut Montmerle, Jean-Marc Moisselin, Lucie Rottner

Storms deeply impact human safety and economic activities by generating severe hazards such as large hail, strong wind gusts or floods. The more critical phenomena often imply mesoscale convective systems (MCS) that originate from the aggregation of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d778e975f8c62cda07213ec363f8835c
https://doi.org/10.5194/ecss2023-38

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Evaluation of the ability of CMIP6 models to simulate precipitation over Southwestern South America: Climatic features and long-term trends (1901?2014)

Autor: Juan Antonio Rivera, Gabriel Arnould

This study evaluates the performance of precipitation simulated in the historical runs of the Climate Model Intercomparison Project Phase 6 (CMPI6) in capturing the complex spatial and temporal patterns observed over Southwestern South America (SWSA)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::297588e0a15bf21273f261b64e6860b2
https://www.sciencedirect.com/science/article/pii/S0169809519317259

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