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O. Mestre

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • physics.ao-ph1
  • physics.comp-ph1
  • stat.AP1

identity via Semantic Scholar / OpenAlex

most citedPrecipitaion Nowcasting using Deep Neural Network

4 citations · 4 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2022★ 4 cited

Precipitaion Nowcasting using Deep Neural Network

Mohamed Chafik Bakkay, Mathieu Serrurier, Valentin Kivachuk Burda +8

Precipitation nowcasting is of great importance for weather forecast users, for activities ranging from outdoor activities and sports competitions to airport traffic management. In…

physics.ao-ph2020

ARPEGE Cloud Cover Forecast Post-Processing with Convolutional Neural Network

Florian Dupuy, Olivier Mestre, Mathieu Serrurier +7

Cloud cover is crucial information for many applications such as planning land observation missions from space. It remains however a challenging variable to forecast, and Numerical…

physics.comp-ph2020

Surrogate Models for Rainfall Nowcasting

Naty Citlali Cabrera-Gutiérrez, Hadrien Godé, Jean-Christophe Jouhaud +8

Nowcasting (or short-term weather forecasting) is particularly important in the case of extreme events as it helps prevent human losses. Many of our activities, however, also depen…

stat.AP2020

Sequential Aggregation of Probabilistic Forecasts -- Applicaton to Wind Speed Ensemble Forecasts

Michaël Zamo, Liliane Bel, Olivier Mestre

In the field of numerical weather prediction (NWP), the probabilistic distribution of the future state of the atmosphere is sampled with Monte-Carlo-like simulations, called ensemb…

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