Zobrazeno 1 - 10
of 545
pro vyhledávání: '"MARTIUS, OLIVIA"'
Autor:
Portal, Alice, Angelidou, Andrea, Rousseau-Rizzi, Raphael, Raveh-Rubin, Shira, Givon, Yonatan, Catto, Jennifer L, Battaglioli, Francesco, Taszarek, Mateusz, Flaounas, Emmanouil, Martius, Olivia
Understanding convective processes leading to severe weather hazards within Mediterranean cyclones is relevant for operational forecasters, insurance industry, and enhancing societal preparedness. In this work we examine the climatological link betwe
Externí odkaz:
http://arxiv.org/abs/2412.02590
Differential reflectivity columns (ZDRC) have been shown to provide information about a storm's updraft intensity and size. The updraft's characteristics, in turn, influence a severe storm's propensity to produce hail and the size of said hail. Conse
Externí odkaz:
http://arxiv.org/abs/2410.10499
Severe convective storms are among the most dangerous weather phenomena and accurate forecasts mitigate their impacts. The recently released suite of AI-based weather models produces medium-range forecasts within seconds, with a skill similar to stat
Externí odkaz:
http://arxiv.org/abs/2406.09474
When extreme weather events affect large areas, their regional to sub-continental spatial scale is important for their impacts. We propose a novel machine learning (ML) framework that integrates spatial extreme-value theory to model weather extremes
Externí odkaz:
http://arxiv.org/abs/2401.12195
To mitigate the impacts associated with adverse weather conditions, meteorological services issue weather warnings to the general public. These warnings rely heavily on forecasts issued by underlying prediction systems. When deciding which prediction
Externí odkaz:
http://arxiv.org/abs/2209.04872
Extreme weather events can have severe impacts on national economies, leading the recovery of low- to middle-income countries to become reliant on foreign financial aid. Foreign aid, however, is slow and uncertain. Therefore, the Sendai Framework and
Externí odkaz:
http://arxiv.org/abs/2206.13895
Publikováno v:
In Science of the Total Environment 20 December 2024 957
Autor:
Rivoire, Pauline, Gall, Philomène Le, Favre, Anne-Catherine, Naveau, Philippe, Martius, Olivia
Accurate estimation of daily rainfall return levels associated with large return periods is needed for a number of hydrological planning purposes, including protective infrastructure, dams, and retention basins. This is especially relevant at small s
Externí odkaz:
http://arxiv.org/abs/2112.02182
Focusing on regression based analysis of extremes in a presence of systematically missing covariates, this work presents a data-driven spatio-temporal regression based clustering of threshold excesses. It is shown that in a presence of systematically
Externí odkaz:
http://arxiv.org/abs/2103.16687
Autor:
Lee, Ryan, White, Christopher J., Adnan, Mohammed Sarfaraz Gani, Douglas, John, Mahecha, Miguel D., O'Loughlin, Fiachra E., Patelli, Edoardo, Ramos, Alexandre M., Roberts, Matthew J., Martius, Olivia, Tubaldi, Enrico, van den Hurk, Bart, Ward, Philip J., Zscheischler, Jakob
Publikováno v:
In Science of the Total Environment 20 February 2024 912