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Thomas Kleinen

Researcher at Max Planck Society

Publications -  94
Citations -  6968

Thomas Kleinen is an academic researcher from Max Planck Society. The author has contributed to research in topics: Climate change & Greenhouse gas. The author has an hindex of 29, co-authored 74 publications receiving 5003 citations. Previous affiliations of Thomas Kleinen include Potsdam Institute for Climate Impact Research & University of East Anglia.

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The global methane budget 2000–2017

Marielle Saunois, +95 more
TL;DR: The second version of the living review paper dedicated to the decadal methane budget, integrating results of top-down studies (atmospheric observations within an atmospheric inverse-modeling framework) and bottom-up estimates (including process-based models for estimating land surface emissions and atmospheric chemistry, inventories of anthropogenic emissions, and data-driven extrapolations) as discussed by the authors.
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The global methane budget 2000–2012

Marielle Saunois, +81 more
TL;DR: The Global Carbon Project (GCP) as discussed by the authors is a consortium of multi-disciplinary scientists, including atmospheric physicists and chemists, biogeochemists of surface and marine emissions, and socio-economists who study anthropogenic emissions.
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Carbon dioxide and climate impulse response functions for the computation of greenhouse gas metrics:a multi-model analysis

TL;DR: In this paper, a carbon cycle-climate model intercomparison project is presented to quantify responses to emission pulses of different magnitudes injected under different conditions, and the best estimate for the Absolute Global Warming Potential, given by the time-integrated response in CO2 at year 100 multiplied by its radiative efficiency, is 92.5 × 10−15 yr W m−2 per kg-CO2.
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Developments in the MPI-M Earth System Model version 1.2 (MPI-ESM1.2) and Its Response to Increasing CO2.

Thorsten Mauritsen, +77 more
TL;DR: The model has a climate sensitivity to a doubling of CO2 over preindustrial conditions of 2.77 K, maintaining the previously identified highly nonlinear global mean response to increasing CO2 forcing, which nonetheless can be represented by a simple two‐layer model.