Mahé Perrette
Potsdam Institute for Climate Impact Research
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Featured researches published by Mahé Perrette.
Climate Dynamics | 2012
Stefan Rahmstorf; Mahé Perrette; Martin Vermeer
We determine the parameters of the semi-empirical link between global temperature and global sea level in a wide variety of ways, using different equations, different data sets for temperature and sea level as well as different statistical techniques. We then compare projections of all these different model versions (over 30) for a moderate global warming scenario for the period 2000–2100. We find the projections are robust and are mostly within ±20% of that obtained with the method of Vermeer and Rahmstorf (Proc Natl Acad Sci USA 106:21527–21532, 2009), namely ~1 m for the given warming of 1.8°C. Lower projections are obtained only if the correction for reservoir storage is ignored and/or the sea level data set of Church and White (Surv Geophys, 2011) is used. However, the latter provides an estimate of the base temperature T0 that conflicts with the constraints from three other data sets, in particular with proxy data showing stable sea level over the period 1400–1800. Our new best-estimate model, accounting also for groundwater pumping, is very close to the model of Vermeer and Rahmstorf (Proc Natl Acad Sci USA 106:21527–21532, 2009).
Environmental Research Letters | 2013
Klaus Bittermann; Stefan Rahmstorf; Mahé Perrette; Martin Vermeer
The prediction of global sea-level rise is one of the major challenges of climate science. While process-based models are still being improved to capture the complexity of the processes involved, semi-empirical models, exploiting the observed connection between global-mean sea level and global temperature and calibrated with data, have been developed as a complementary approach. Here we investigate whether twentieth century sea-level rise could have been predicted with such models given a knowledge of twentieth century global temperature increase. We find that either proxy or early tide gauge data do not hold enough information to constrain the model parameters well. However, in combination, the use of proxy and tide gauge sea-level data up to 1900 AD allows a good prediction of twentieth century sea-level rise, despite this rise being well outside the rates experienced in previous centuries during the calibration period of the model. The 90% confidence range for the linear twentieth century rise predicted by the semi-empirical model is 13‐30 cm, whereas the observed interval (using two tide gauge data sets) is 14‐26 cm.
Archive | 2012
Hans Joachim Schellnhuber; William Hare; Olivia Serdeczny; Sophie Adams; Dim Coumou; Katja Frieler; M. Martin; Ilona M. Otto; Mahé Perrette; Alexander Robinson; Marcia Rocha; Michiel Schaeffer; J. Schewe; X. Wang; L. Warszawski
Earth System Dynamics Discussions | 2016
Carl Friedrich Schleussner; Tabea Lissner; Erich M. Fischer; Jan Wohland; Mahé Perrette; Antonius Golly; Joeri Rogelj; Katelin Childers; Jacob Schewe; Katja Frieler; Matthias Mengel; William Hare; Michiel Schaeffer
Earth System Dynamics Discussions | 2013
Mahé Perrette; F. Landerer; R. Riva; Katja Frieler; Malte Meinshausen
Regional Environmental Change | 2017
Olivia Serdeczny; Sophie Adams; Florent Baarsch; Dim Coumou; Alexander Robinson; William Hare; Michiel Schaeffer; Mahé Perrette; Julia Reinhardt
The Cryosphere | 2014
Reinhard Calov; Alexander Robinson; Mahé Perrette; Andrey Ganopolski
Regional Environmental Change | 2017
Kira Vinke; Maria A. Martin; Sophie Adams; Florent Baarsch; Alberte Bondeau; Dim Coumou; Reik V. Donner; Arathy Menon; Mahé Perrette; Kira Rehfeld; Alexander Robinson; Marcia Rocha; Michiel Schaeffer; Susanne Schwan; Olivia Serdeczny
Regional Environmental Change | 2017
Katharina Waha; Linda Krummenauer; Sophie Adams; Valentin Aich; Florent Baarsch; Dim Coumou; Marianela Fader; Holger Hoff; Guy Jobbins; Rachel Marcus; Matthias Mengel; Ilona M. Otto; Mahé Perrette; Marcia Rocha; Alexander Robinson; Carl Friedrich Schleussner
The Cryosphere | 2018
Johanna Beckmann; Mahé Perrette; Andrey Ganopolski