Stephane Sénési

ORCID: 0000-0003-0892-5967
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About
Contact & Profiles
Research Areas
  • Meteorological Phenomena and Simulations
  • Climate variability and models
  • Atmospheric and Environmental Gas Dynamics
  • Precipitation Measurement and Analysis
  • Methane Hydrates and Related Phenomena
  • Atmospheric chemistry and aerosols
  • Distributed and Parallel Computing Systems
  • Arctic and Antarctic ice dynamics
  • Scientific Computing and Data Management
  • Atmospheric Ozone and Climate
  • Air Traffic Management and Optimization
  • Lightning and Electromagnetic Phenomena
  • Medical Imaging Techniques and Applications
  • Spacecraft and Cryogenic Technologies
  • Tropical and Extratropical Cyclones Research
  • Cardiovascular Function and Risk Factors
  • Atmospheric aerosols and clouds
  • Cryospheric studies and observations
  • demographic modeling and climate adaptation
  • Plant Water Relations and Carbon Dynamics
  • Advanced Aircraft Design and Technologies
  • Climate change and permafrost
  • Aerospace and Aviation Technology
  • Fire effects on ecosystems
  • Big Data Technologies and Applications

Centre National de Recherches Météorologiques
1996-2023

Institut Pierre-Simon Laplace
2021

Météo-France
1996-2019

Centre National de la Recherche Scientifique
1997-2019

Université de Toulouse
2019

A new version of the general circulation model CNRM-CM has been developed jointly by CNRM-GAME (Centre National de Recherches Météorologiques—Groupe d'études l'Atmosphère Météorologique) and Cerfacs Européen Recherche et Formation Avancée) in order to contribute phase 5 Coupled Model Intercomparison Project (CMIP5). The purpose study is describe its main features provide a preliminary assessment mean climatology. CNRM-CM5.1 includes atmospheric ARPEGE-Climat (v5.2), ocean NEMO (v3.2), land...

10.1007/s00382-011-1259-y article EN cc-by-nc Climate Dynamics 2012-01-11

Abstract This paper describes the main characteristics of CNRM‐CM6‐1, fully coupled atmosphere‐ocean general circulation model sixth generation jointly developed by Centre National de Recherches Météorologiques (CNRM) and Cerfacs for phase Coupled Model Intercomparison Project 6 (CMIP6). The provides a description each component including coupling method new online output software. We emphasize where model's components have been updated with respect to former version, CNRM‐CM5.1. In...

10.1029/2019ms001683 article EN cc-by-nc-nd Journal of Advances in Modeling Earth Systems 2019-06-01

Abstract This study introduces CNRM‐ESM2‐1, the Earth system (ES) model of second generation developed by CNRM‐CERFACS for sixth phase Coupled Model Intercomparison Project (CMIP6). CNRM‐ESM2‐1 offers a higher complexity than Atmosphere‐Ocean General Circulation CNRM‐CM6‐1 adding interactive ES components such as carbon cycle, aerosols, and atmospheric chemistry. As both models share same code, physical parameterizations, grid resolution, they offer fully traceable framework to investigate...

10.1029/2019ms001791 article EN cc-by-nc-nd Journal of Advances in Modeling Earth Systems 2019-11-06

In recent years, significant efforts have been made to upgrade physical processes in the ISBA-CTRIP land surface system for use fully coupled climate studies using new CNRM-CM6 model or stand-alone mode global hydrological applications. Here we provide a thorough description of and improved implemented between CMIP5 CMIP6 versions evaluate hydrology thermal behavior at scale. The soil scheme explicitly solves one-dimensional Fourier Darcy laws throughout soil, accounting dependency hydraulic...

10.1029/2018ms001545 article EN cc-by-nc-nd Journal of Advances in Modeling Earth Systems 2019-04-01

Abstract The present study describes the atmospheric component of sixth‐generation climate models Centre National de Recherches Météorologiques (CNRM), namely, ARPEGE‐Climat 6.3. It builds up on more than a decade model development and tuning efforts, which led to major updates its moist physics. vertical resolution has also been significantly increased, both in boundary layer stratosphere. 6.3 is now coupled new version (8.0) SURFace EXternalisée (SURFEX) surface model, several features...

10.1029/2020ms002075 article EN Journal of Advances in Modeling Earth Systems 2020-06-03

Abstract Characteristics and radiative forcing of the aerosol ozone fields two configurations Centre National de Recherches Météoroglogiques (CNRM) Cerfacs climate model are analyzed over historical period (1850–2014), using several Coupled Model Intercomparison Project 6 (CMIP6) simulations. CNRM‐CM6‐1 is atmosphere‐ocean general circulation including prescribed aerosols a linear stratospheric scheme, while Earth System CNRM‐ESM2‐1 has interactive tropospheric chemistry midtroposphere...

10.1029/2019ms001816 article EN cc-by Journal of Advances in Modeling Earth Systems 2019-12-17

Abstract An automated method aimed at producing a significant European mesoscale convective system (MCS) climatology is presented. It uses Meteosat infrared window channel images and composed of two main tools: an cloud‐shield tracking robust discriminating between nonconvective cloud shields. The cloud‐tracking defines systems as connected sets pixels, named ‘cells’, after temperature area thresholding it based on the overlapping cells in successive images. handles splits merges takes cell...

10.1256/003590002320603485 article EN Quarterly Journal of the Royal Meteorological Society 2002-07-01

Abstract. The data request of the Coupled Model Intercomparison Project Phase 6 (CMIP6) defines all quantities from CMIP6 simulations that should be archived. This includes both general interest needed most CMIP6-endorsed model intercomparison projects (MIPs) and are more specialized only to a single endorsed MIP. complexity has increased early days intercomparisons, as volume. In contrast with CMIP5, requires distinct sets highly tailored variables saved each than 200 experiments. places...

10.5194/gmd-13-201-2020 article EN cc-by Geoscientific model development 2020-01-28

Abstract An automated method for mesoscale convective system (MCS) identification and tracking (described in part I) is applied order to derive a sound European MCS database using Meteosat infrared channel (IR10.8) images centred over Europe, the western Mediterranean north Africa. The covers five warm seasons, from April September, years 1993 1997 includes more than 6000 MCSs reaching at least an area of 10 000 km 2 . First results derived climatology are presented. They mainly address...

10.1256/003590002320603494 article EN Quarterly Journal of the Royal Meteorological Society 2002-07-01

On the morning and early afternoon of 22 September 1992, a flash flood (220 mm rain in 3 h) occurred city Vaison-La-Romaine, located southeastern France, causing numerous casualties considerable property damage. It was generated by combination several mesoscale convective systems ahead slow-moving cold front associated with cutoff low. The large-scale setting analysis case, together estimates radar-derived accumulations, are presented. demonstrates complexity which involved five...

10.1175/1520-0434(1996)011<0417:tvlrff>2.0.co;2 article EN other-oa Weather and Forecasting 1996-12-01

Abstract. Our work is among the first that use an atmosphere-ocean general circulation model (AOGCM) with online chemistry to evaluate impact of future aviation emissions on temperature. Other particularities our study include non-scaling emissions, and analysis models' transient response using ensemble simulations. The we Météo-France CNRM-CM5.1 earth system extended REPROBUS scheme. time horizon interest 1940–2100, assuming A1B SRES scenario. We investigate present CO2, NOx H2O climate,...

10.5194/acp-13-10027-2013 article EN cc-by Atmospheric chemistry and physics 2013-10-11

Abstract. Earth system models (ESMs) are state-of-the-art climate that allow numerical simulations of the past, present-day, and future climate. To extend our understanding improve change projections, complexity ESMs heavily increased over last decades. As a consequence, amount volume data provided by has considerably. Innovative tools for comprehensive model evaluation analysis required to assess performance these increasingly complex against observations or reanalyses. One is System Model...

10.5194/gmd-16-315-2023 article EN cc-by Geoscientific model development 2023-01-11

Abstract We study the contribution of surface data to convection nowcasting over regions modest orography and under weak synoptic forcing. Hourly mesoscale analyses are performed using CANARI optimal interpolation analysis scheme, which combines first‐guess fields from fine mesh (10 km) ALADIN model with hourly routine observations arising a mesonet automated ground stations. These then allow computation diagnostic parameters that quantify convective instability, low‐level lifting processes...

10.1017/s1350482700001365 article EN Meteorological Applications 2000-06-01

Abstract. We introduce and document the first version of Centre National de Recherches Météorologiques Earth system model (CNRM-ESM1). This is based on physical core CNRM-CM5 employs Interactions between Soil, Biosphere Atmosphere (ISBA) module Pelagic Interaction Scheme for Carbon Ecosystem Studies (PISCES) as terrestrial oceanic components global carbon cycle. describe a preindustrial 20th century climate simulation following CMIP5 protocol. detail how various reservoirs were initialized...

10.5194/gmdd-8-5671-2015 preprint EN cc-by 2015-07-22

A mesoscale numerical weather prediction model and its associated diagnostics are evaluated to gauge their ability forecast convection the convective environment for ten case-study days. The diagnostic indices parameters those used assess atmospheric instability, forcing, inhibition low-level moisture supply. In addition, bulk Richardson number helicity examined organisation. Convection over mountainous regions is not considered. days grouped according synoptic type in order evaluate...

10.1017/s1350482798000917 article EN Meteorological Applications 1998-12-01

The average rain rate 〈R〉 is estimated with radar data at the beam height by measuring fractional area F(τ) of pixels above a preset rain-rate threshold τ. This work applies “threshold method” to smaller areas. method typically requires large observing areas (104 km2–105 km2) achieve good sampling well-behaved probability density function (PDF) rate. present work, however, shows that can be applied (103 when calculated on cluster, or cell, defined as connected set rainy pixels. results show...

10.1175/1520-0450(1997)036<1493:pottmo>2.0.co;2 article EN other-oa Journal of Applied Meteorology 1997-11-01
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