205 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- KU LeuvenBE14 papers
- Centre National de la Recherche ScientifiqueFR11 papers
- Royal Observatory of BelgiumBE5 papers
- Jet Propulsion LaboratoryUS4 papers
- Royal Belgian Institute for Space AeronomyBE4 papers
- Sorbonne UniversitéFR4 papers
- UCLouvainBE4 papers
- Université Paris Sciences et LettresFR4 papers
- University of ReadingGB4 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR3 papers
- École Normale Supérieure - PSLFR3 papers
- Ghent UniversityBE3 papers
17 papers · 1 filter
Dynamic and thermodynamic contributions to future extreme-rainfall intensification: a case study for Belgium
Jozefien Schoofs, Kobe Vandelanotte, Hans Van de Vyver +5
Extreme precipitation is projected to become more frequent and more intense due to climate change and associated thermodynamical effects, but the local response of atmospheric circ…
Robust intra-model teleconnection patterns for extreme heatwaves
George Miloshevich, Philippine Rouby-Poizat, Francesco Ragone +1
We investigate the statistics and dynamics of extreme heat waves over different areas of Europe. We find heatwaves over France and Scandinavia to be associated with recurrent waven…
Identifying efficient ensemble perturbations for initializing subseasonal-to-seasonal prediction
Jonathan Demaeyer, Stephen G. Penny, Stéphane Vannitsem
The prediction of the weather at subseasonal-to-seasonal (S2S) timescales is dependent on both initial and boundary conditions. An open question is how to best initialize a relativ…
Extratropical low-frequency variability with ENSO forcing: A reduced-order coupled model study
Stéphane Vannitsem, Jonathan Demaeyer, Michael Ghil
The impact of the El Niño-Southern Oscillation (ENSO) on the extratropics is investigated in an idealized, reduced-order model that has a tropical and an extratropical module. Unid…
Dual View on Clear-Sky Top-of-Atmosphere Albedos from Meteosat Second Generation Satellites
Alexandre Payez, Steven Dewitte, Nicolas Clerbaux
Geostationary observations offer the unique opportunity to resolve the diurnal cycle of the Earth's Radiation Budget at the top of the atmosphere (TOA), crucial for climate-change…
Rare event algorithm study of extreme warm summers and heat waves over Europe
Francesco Ragone, Freddy Bouchet
The analysis of extremes in climate models is hindered by the lack of statistics due to the computational costs required to run simulations long enough to sample rare events. We de…
Statistical Postprocessing for Weather Forecasts -- Review, Challenges and Avenues in a Big Data World
Stéphane Vannitsem, John Bjørnar Bremnes, Jonathan Demaeyer +21
Statistical postprocessing techniques are nowadays key components of the forecasting suites in many National Meteorological Services (NMS), with for most of them, the objective of…
On temporal scale separation in coupled data assimilation with the ensemble Kalman filter
Maxime Tondeur, Alberto Carrassi, Stephane Vannitsem +1
Coupled data assimilation (CDA) distinctively appears as a main concern in numerical weather and climate prediction with major efforts put forward worldwide. The core issue is the…
On the use of near-neutral Backward Lyapunov Vectors to get reliable ensemble forecasts in coupled ocean-atmosphere systems
Stéphane Vannitsem, Wansuo Duan
The use of coupled Backward Lyapunov Vectors (BLV) for ensemble forecast is demonstrated in a coupled ocean-atmosphere system of reduced order, the Modular Arbitrary Order Ocean-At…
Correcting for Model Changes in Statistical Postprocessing -- An approach based on Response Theory
Jonathan Demaeyer, Stéphane Vannitsem
For most statistical postprocessing schemes used to correct weather forecasts, changes to the forecast model induce a considerable reforecasting effort. We present a new approach b…
Routes to long-term atmospheric predictability in reduced-order coupled ocean-atmosphere systems -- Impact of the ocean basin boundary conditions
Stéphane Vannitsem, Roman Solé-Pomies, Lesley De Cruz
The predictability of the atmosphere at short and long time scales, associated with the coupling to the ocean, is explored in a new version of the Modular Arbitrary-Order Ocean-Atm…
Comparison of stochastic parameterizations in the framework of a coupled ocean-atmosphere model
Jonathan Demaeyer, Stéphane Vannitsem
A new framework is proposed for the evaluation of stochastic subgrid-scale parameterizations in the context of MAOOAM, a coupled ocean-atmosphere model of intermediate complexity.…
Exploring the Lyapunov instability properties of high-dimensional atmospheric and climate models
Lesley De Cruz, Sebastian Schubert, Jonathan Demaeyer +2
The stability properties of intermediate-order climate models are investigated by computing their Lyapunov exponents (LEs). The two models considered are PUMA (Portable University…
Recent progress and review of issues related to Physics Dynamics Coupling in geophysical models
Markus Gross, Hui Wan, Philip J. Rasch +19
Geophysical models of the atmosphere and ocean invariably involve parameterizations. These represent two distinct areas: Subgrid processes that the model cannot resolve, and diabat…
Stochastic parameterization of subgrid-scale processes in coupled ocean-atmosphere systems: Benefits and limitations of response theory
Jonathan Demaeyer, Stéphane Vannitsem
A stochastic subgrid-scale parameterization based on the Ruelle's response theory and proposed in Wouters and Lucarini [2012] is tested in the context of a low-order coupled ocean-…
The Modular Arbitrary-Order Ocean-Atmosphere Model: MAOOAM v1.0
Lesley De Cruz, Jonathan Demaeyer, Stéphane Vannitsem
This paper describes a reduced-order quasi-geostrophic coupled ocean-atmosphere model that allows for an arbitrary number of atmospheric and oceanic modes to be retained in the spe…
Statistical and Dynamical Properties of Covariant Lyapunov Vectors in a Coupled Atmosphere-Ocean Model - Multiscale Effects, Geometric Degeneracy, and Error Dynamics
Stephane Vannitsem, Valerio Lucarini
We study a simplified coupled atmosphere-ocean model using the formalism of covariant Lyapunov vectors (CLVs), which link physically-based directions of perturbations to growth/dec…