A5080862526- Climate variability and models
- Meteorological Phenomena and Simulations
- Atmospheric and Environmental Gas Dynamics
- Climate change and permafrost
- Plant Water Relations and Carbon Dynamics
- Soil Moisture and Remote Sensing
- Atmospheric aerosols and clouds
- Cryospheric studies and observations
- Hydrology and Watershed Management Studies
- Atmospheric Ozone and Climate
- Atmospheric chemistry and aerosols
- Geophysics and Gravity Measurements
- Soil and Unsaturated Flow
- Geothermal Energy Systems and Applications
- Ionosphere and magnetosphere dynamics
- Groundwater and Isotope Geochemistry
- Wind and Air Flow Studies
- Water resources management and optimization
- Climate change impacts on agriculture
- Oceanographic and Atmospheric Processes
- Arctic and Antarctic ice dynamics
- Hydrology and Drought Analysis
- Advanced Breast Cancer Therapies
- Global Energy and Sustainability Research
- Sustainable Agricultural Systems Analysis
Sorbonne Université
2015-2025
Centre National de la Recherche Scientifique
2016-2025
École Polytechnique
1999-2025
École Normale Supérieure
2018-2025
Institut Pierre-Simon Laplace
2014-2025
Laboratoire de Météorologie Dynamique
2014-2024
Université Paris Sciences et Lettres
2013-2024
École Normale Supérieure - PSL
2002-2024
National Council for Scientific Research
2024
Istituto di Scienze Marine del Consiglio Nazionale delle Ricerche
2020-2021
We present the global general circulation model IPSL-CM5 developed to study long-term response of climate system natural and anthropogenic forcings as part 5th Phase Coupled Model Intercomparison Project (CMIP5). This includes an interactive carbon cycle, a representation tropospheric stratospheric chemistry, comprehensive aerosols. As it represents principal dynamical, physical, bio-geochemical processes relevant system, may be referred Earth System Model. However, used in multitude...
Abstract This study presents the global climate model IPSL‐CM6A‐LR developed at Institut Pierre‐Simon Laplace (IPSL) to natural variability and response anthropogenic forcings as part of sixth phase Coupled Model Intercomparison Project (CMIP6). article describes different components, their coupling, simulated in comparison previous versions. We focus here on representation physical along with main characteristics carbon cycle. The model's climatology, assessed from a range metrics (related...
Abstract The Global Land‐Atmosphere Climate Experiment–Coupled Model Intercomparison Project phase 5 (GLACE‐CMIP5) is a multimodel experiment investigating the impact of soil moisture‐climate feedbacks in CMIP5 projections. We present here first GLACE‐CMIP5 results based on five Earth System Models, focusing impacts projected changes regional moisture dryness (mostly increases) late 21st century climate. Projected substantially climate several regions both boreal and austral summer. Strong...
Based on a decade of research cloud processes, new version the LMDZ atmospheric general circulation model has been developed that corresponds to complete recasting parameterization turbulence, convection and clouds. This LMDZ5B includes mass-flux representation thermal plumes or rolls convective boundary layer, coupled bi-Gaussian statistical scheme, as well cold pools generated below cumulonimbus by re-evaporation precipitation. The triggering closure deep are now controlled lifting...
Abstract Regional hot extremes are projected to increase more strongly than global mean temperature, with substantially larger changes 2°C even if warming is limited this level. We investigate the role of soil moisture‐temperature feedbacks for response based on multimodel experiments 21st century either interactive or fixed (late 20th seasonal cycle) moisture. analyze in hottest days each year both sets experiments, relate them temperature increase, and processes leading these changes. find...
Abstract. The Land Surface, Snow and Soil Moisture Model Intercomparison Project (LS3MIP) is designed to provide a comprehensive assessment of land surface, snow soil moisture feedbacks on climate variability change, diagnose systematic biases in the modules current Earth system models (ESMs). solid liquid water stored at surface has large influence regional climate, its predictability, including effects energy, carbon cycles. Notably, affect radiation flux partitioning properties, storage...
Abstract. This paper describes ESM-SnowMIP, an international coordinated modelling effort to evaluate current snow schemes, including schemes that are included in Earth system models, a wide variety of settings against local and global observations. The project aims identify crucial processes characteristics need be improved models the context local- global-scale modelling. A further objective ESM-SnowMIP is better quantify snow-related feedbacks system. Although it not part sixth phase...
Abstract This study presents the version of LMDZ global atmospheric model used as component Institut Pierre Simon Laplace coupled (IPSL‐CM6A‐LR) to contribute 6th phase international Coupled Model Intercomparison Project (CMIP6). LMDZ6A includes original convective parameterizations that define “New Physics”: a mass flux parameterization organized structures boundary layer, “thermal plume model,” and cold pools created by reevaporation rainfall. The vertical velocity associated with thermal...
Widespread negative correlations between summertime-mean temperatures and precipitation over land regions are a well-known feature of terrestrial climate. This behavior has generally been interpreted in the context soil moisture–atmosphere coupling, with moisture deficits associated reduced rainfall leading to enhanced surface sensible heating higher temperature. The present study revisits genesis these temperature–precipitation using simulations from Global Land–Atmosphere Coupling...
The authors have investigated the possibility of elaborating a new generation radiative transfer models for climate studies based on neural network technique. show that their network–based model, NeuroFlux, can be used successfully accurately deriving longwave budget from top atmosphere to surface. reliable sampling earth’s atmospheric situations in version TIGR (Thermodynamic Initial Guess Retrieval) dataset, developed at Laboratoire de Météorologie Dynamique, allows an efficient learning...
Abstract We examine how soil moisture variability and trends affect the simulation of temperature precipitation extremes in six global climate models using experimental protocol Global Land‐Atmosphere Coupling Experiment Coupled Model Intercomparison Project, Phase 5 (GLACE‐CMIP5). This enables separate examinations influences on intensity, frequency, duration by end 21st century under a business‐as‐usual (Representative Concentration Pathway 8.5) emission scenario. Removing significantly...
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Abstract This work is motivated by the identification of land‐atmosphere interactions as one key sources uncertainty in climate change simulations. It documents new developments related processes, namely, boundary layer/convection/clouds parameterizations and land surface parameterization Earth System Model Institut Pierre Simon Laplace (IPSL). Simulations forced prescribed oceanic conditions are produced with different combinations atmospheric parameterizations. They used to explore...
Abstract Many weather forecast and climate models simulate warm surface air temperature (T 2m ) biases over midlatitude continents during the summertime, especially Great Plains. We present here one of a series papers from multimodel intercomparison project (CAUSES: Cloud Above United States Errors at Surface), which aims to evaluate role cloud, radiation, precipitation in contributing T bias using short‐term hindcast approach spring summer 2011. Observations are mainly Atmospheric Radiation...
Abstract To produce food for a growing world population, irrigated areas have increased from approximately 0.63 million km 2 of land in 1900 to 3.1 2005. Despite this massive expansion, irrigation is still overlooked most state‐of‐the‐art Earth system models (ESMs) involved the Coupled Model Intercomparison Project phase 6 (CMIP6). our knowledge, only three CMIP6 represent activities: CESM2, GISS‐E2‐1‐G, and NorESM2‐LM. Here, we investigate role on historical climate at global regional...
Very different approaches exist in land surface models (LSMs) to describe the water fluxes at soil bottom, from free drainage zero flux, and even upward if is coupled a table. To explore influence of these conditions on cycle unified framework, we introduce new boundary ORCHIDEE LSM, which atmospheric general circulation model LMDZ. We use zoomed nudged configuration centered over France reproduce observed regional weather. Soil moisture evapotranspiration increase ranging impermeable then...
Abstract Many Numerical Weather Prediction (NWP) and climate models exhibit too warm lower tropospheres near the midlatitude continents. The bias has been shown to coincide with important surface radiation biases that likely play a critical role in inception or growth of bias. This paper presents an attribution study on net nine model simulations, performed framework CAUSES project (Clouds Above United States Errors at Surface). Contributions from deficiencies properties, clouds, water...
We introduce the Clouds Above United States and Errors at Surface (CAUSES) project with its aim of better understanding physical processes leading to warm screen temperature biases over American Midwest in many numerical models. In this first four companion papers, 11 different models, from nine institutes, perform a series 5 day hindcasts, each initialized reanalyses. After describing common experimental protocol detailing model configuration, gridded data set is derived observations used...
Abstract The definition of an approach for radiative‐transfer modelling that would enable computation limes suitable climate studies and a satisfactory accuracy, has proved to be challenge modellers. A fast model is tested at ECMWF: NeuroFlux. It based on artificial neural‐network technique used in conjunction with classical cloud approximation (the multilayer grey‐body model). accuracy (he method assessed through code‐by‐code comparisons, simulations ten‐day forecasts the ECMWF model....
The improved initialization inversion (3I) algorithms convert TIROS-N Operational Vertical Sounder observations from the National Oceanic and Atmospheric Administration (NOAA) polar-orbiting environmental satellites into atmospheric temperature water vapor profiles, together with cloud surface properties. Their relatively good spectral resolution coverage make IR sounders a very useful tool for determination of properties both day night. iterative process detailed comparisons between...
From 1979 to present, sensors aboard the NOAA series of polar meteorological satellites have provided continuous measurements earth's surface and atmosphere. One these sensors, TIROS-N Operational Vertical Sounder (TOVS), observes earth-emitted radiation in 27 wavelength bands within infrared microwave portions spectrum, thereby creating a valuable resource for studying climate our planet. The NOAA–NASA Pathfinder program was conceived make data more readily accessible community form...
Abstract This note summarizes the characteristics of different topological methods for sampling vertical profiles heterogeneous variables, like atmospheric temperature and water‐vapour concentration. The presented follow approach developed successive Thermodynamic Initial Guess Retrieval (TIGR) databases at Laboratoire de Météorologie Dynamique. most recent one is applied to select limited numbers (some thousands) by a much larger dataset (more than million profiles) from European Centre...