Pierre Friedlingstein

ORCID: 0000-0003-3309-4739
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Atmospheric and Environmental Gas Dynamics
  • Climate variability and models
  • Plant Water Relations and Carbon Dynamics
  • Climate Change Policy and Economics
  • Atmospheric chemistry and aerosols
  • Carbon Dioxide Capture Technologies
  • Atmospheric Ozone and Climate
  • Cryospheric studies and observations
  • Methane Hydrates and Related Phenomena
  • Climate change and permafrost
  • Geology and Paleoclimatology Research
  • Meteorological Phenomena and Simulations
  • Environmental Impact and Sustainability
  • Peatlands and Wetlands Ecology
  • Remote Sensing in Agriculture
  • Fire effects on ecosystems
  • Global Energy and Sustainability Research
  • Hydrology and Watershed Management Studies
  • Plant responses to elevated CO2
  • Geophysics and Gravity Measurements
  • Marine and coastal ecosystems
  • Science and Climate Studies
  • Soil Carbon and Nitrogen Dynamics
  • Ecology and Vegetation Dynamics Studies
  • CO2 Sequestration and Geologic Interactions

University of Exeter
2016-2025

École Polytechnique
2020-2025

Institut Pierre-Simon Laplace
2008-2025

Sorbonne Université
2019-2025

Centre National de la Recherche Scientifique
2008-2025

Laboratoire de Météorologie Dynamique
2019-2025

École Normale Supérieure - PSL
2020-2025

Université Paris Sciences et Lettres
2020-2025

École Normale Supérieure
2025

Karlsruhe Institute of Technology
2014-2024

Abstract. Projections of future climate change play a fundamental role in improving understanding the system as well characterizing societal risks and response options. The Scenario Model Intercomparison Project (ScenarioMIP) is primary activity within Phase 6 Coupled (CMIP6) that will provide multi-model projections based on alternative scenarios emissions land use changes produced with integrated assessment models. In this paper, we describe ScenarioMIP's objectives, experimental design,...

10.5194/gmd-9-3461-2016 article EN cc-by Geoscientific model development 2016-09-28

Abstract Eleven coupled climate–carbon cycle models used a common protocol to study the coupling between climate change and carbon cycle. The were forced by historical emissions Intergovernmental Panel on Climate Change (IPCC) Special Report Emissions Scenarios (SRES) A2 anthropogenic of CO2 for 1850–2100 time period. For each model, two simulations performed in order isolate impact land ocean cycle, therefore feedback atmospheric concentration growth rate. There was unanimous agreement...

10.1175/jcli3800.1 article EN Journal of Climate 2006-07-12

The severity of damaging human-induced climate change depends not only on the magnitude but also potential for irreversibility. This paper shows that takes place due to increases in carbon dioxide concentration is largely irreversible 1,000 years after emissions stop. Following cessation emissions, removal atmospheric decreases radiative forcing, compensated by slower loss heat ocean, so temperatures do drop significantly at least years. Among illustrative impacts should be expected if...

10.1073/pnas.0812721106 article EN Proceedings of the National Academy of Sciences 2009-01-29

This work presents a new dynamic global vegetation model designed as an extension of existing surface‐vegetation‐atmosphere transfer scheme which is included in coupled ocean‐atmosphere general circulation model. The simulates the principal processes continental biosphere influencing carbon cycle (photosynthesis, autotrophic and heterotrophic respiration plants soils, fire, etc.) well latent, sensible, kinetic energy exchanges at surface soils plants. As model, it explicitly represents...

10.1029/2003gb002199 article EN Global Biogeochemical Cycles 2005-02-26

Abstract. Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, terrestrial biosphere in a changing climate – “global budget” is important to better understand global cycle, support development policies, project future change. Here we describe synthesize data sets methodology quantify five major components budget uncertainties. Fossil CO2 (EFOS) are based on energy statistics cement production data, while from land-use...

10.5194/essd-12-3269-2020 article EN cc-by Earth system science data 2020-12-10

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...

10.1007/s00382-012-1636-1 article EN cc-by Climate Dynamics 2013-02-23

Abstract. Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, terrestrial biosphere – “global budget” is important to better understand global cycle, support development climate policies, project future change. Here we describe data sets methodology quantify five major components budget uncertainties. Fossil CO2 (EFF) are based on energy statistics cement production data, while from land use change (ELUC), mainly...

10.5194/essd-11-1783-2019 article EN cc-by Earth system science data 2019-12-04

Abstract. Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, terrestrial biosphere – “global budget” is important to better understand global cycle, support development climate policies, project future change. Here we describe data sets methodology quantify five major components budget uncertainties. Fossil CO2 (EFF) are based on energy statistics cement production data, while from land use land-use change (ELUC), mainly...

10.5194/essd-10-2141-2018 article EN cc-by Earth system science data 2018-12-05

Abstract This study tests the ability of five Dynamic Global Vegetation Models (DGVMs), forced with observed climatology and atmospheric CO 2 , to model contemporary global carbon cycle. The DGVMs are also coupled a fast ‘climate analogue model’, based on Hadley Centre General Circulation Model (GCM), run into future for four Special Report Emission Scenarios (SRES): A1FI, A2, B1, B2. Results show that all consistent land budget. Under more extreme projections environmental change, responses...

10.1111/j.1365-2486.2008.01626.x article EN Global Change Biology 2008-05-05

Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, terrestrial biosphere in a changing climate is critical to better understand global cycle, support development policies, project future change. Here we describe synthesize datasets methodology quantify five major components budget uncertainties. Fossil CO2 (EFOS) are based on energy statistics cement production data, while from land-use change (ELUC), mainly...

10.5194/essd-14-1917-2022 article EN cc-by Earth system science data 2022-04-26

The difference is found at the margins terrestrial biosphere absorbs about a quarter of all anthropogenic carbon dioxide emissions, but amount that they take up varies from year to year. Why? Combining models and observations, Ahlström et al. marginal ecosystems—semiarid savannas low-latitude shrublands—are responsible for most variability. Biological productivity in these semiarid regions water-limited strongly associated with variations precipitation, unlike wetter tropical areas....

10.1126/science.aaa1668 article EN Science 2015-05-22
Pierre Friedlingstein Michael O’Sullivan Matthew W. Jones Robbie M. Andrew Luke Gregor and 95 more Judith Hauck Corinne Le Quéré Ingrid T. Luijkx Are Olsen Glen P. Peters Wouter Peters Julia Pongratz Clemens Schwingshackl Stephen Sitch Josep G. Canadell Philippe Ciais Robert B. Jackson Simone R. Alin Ramdane Alkama Almut Arneth Vivek Arora Nicholas R. Bates Meike Becker Nicolas Bellouin Henry C. Bittig Laurent Bopp Frédéric Chevallier Louise Chini Margot Cronin Wiley Evans Stefanie Falk Richard A. Feely Thomas Gasser Marion Gehlen Thanos Gkritzalis Lucas Gloege Giacomo Grassi Nicolas Gruber Özgür Gürses Ian Harris Matthew Hefner R. A. Houghton G. C. Hurtt Yosuke Iida Tatiana Ilyina Atul K. Jain Annika Jersild Koji Kadono Etsushi Kato Daniel Kennedy Kees Klein Goldewijk Jürgen Knauer Jan Ivar Korsbakken Peter Landschützer Nathalie Lefèvre Keith Lindsay Junjie Liu Zhu Liu Gregg Marland Nicolas Mayot Matthew J. McGrath Nicolas Metzl Natalie Monacci David R. Munro Shin‐Ichiro Nakaoka Yosuke Niwa Kevin O’Brien Tsuneo Ono Paul I. Palmer Naiqing Pan Denis Pierrot Katie Pocock Benjamin Poulter Laure Resplandy Eddy Robertson Christian Rödenbeck Carmen Dolores Arbelo Rodríguez Thais M. Rosan Jörg Schwinger Roland Séférian Jamie D. Shutler Ingunn Skjelvan Tobias Steinhoff Qing Sun Adrienne J. Sutton Colm Sweeney Shintaro Takao Toste Tanhua Pieter P. Tans Xiangjun Tian Hanqin Tian Bronte Tilbrook Hiroyuki Tsujino Francesco N. Tubiello Guido R. van der Werf Anthony P. Walker Rik Wanninkhof Chris Whitehead Anna Willstrand Wranne Rebecca Wright

Abstract. Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, terrestrial biosphere in a changing climate is critical to better understand global cycle, support development policies, project future change. Here we describe synthesize data sets methodologies quantify five major components budget uncertainties. Fossil CO2 (EFOS) are based on energy statistics cement production data, while from land-use change (ELUC), mainly...

10.5194/essd-14-4811-2022 article EN cc-by Earth system science data 2022-11-11

Urban heat island is among the most evident aspects of human impacts on earth system. Here we assess diurnal and seasonal variation surface urban intensity (SUHII) defined as temperature difference between area suburban measured from MODIS. Differences in SUHII are analyzed across 419 global big cities, several potential biophysical socio-economic driving factors. Across show that average annual daytime (1.5 ± 1.2 °C) higher than nighttime (1.1 0.5 (P < 0.001). But no correlation found...

10.1021/es2030438 article EN Environmental Science & Technology 2011-12-05
Coming Soon ...