Institute for Atmospheric and Climate Science


Media News

Megadürre in Kalifornien, SRF Einstein, Mai 2015

Aktuelle Wetter-Extreme sind menschgemacht, 3sat nano, April 2015

In naher Zukunft wird jeder Sommertag ein Hitzetag. Echo der Zeit, April 2015

Wetterextreme von Menschenhand, NZZ, April 2015

Es fehlt nicht viel, und es wird extrem heisser, Tagesanzeiger, April 2015

New study links weather extremes to global warming, New York Times, April 2015

Is it global warming or just the weather?, Economist, April 2015

Fünf Fragen, ETH Globe, März 2015

Klimaziele: «Machbar, wenn alle mitziehen», SRF4 News, Februar 2015

Chance für Innovation, Tagblatt, Februar 2015

Aus Zürich wird Nizza, Tagblatt der Stadt Zürich, Februar 2015

Wie viel Mensch verträgt die Erde, Radio SRF2 Wissenschaftsmagazin, Februar 2015

Click here for full list...

Selected recent publications

Anthropogenic contribution to global occurrence of heavy-precipitation and high-temperature extremes, Nature Climate Change, 2014

Natural variability, radiative forcing and climate response in the recent hiatus reconciled, Nature Geoscience 2015

Heated debate on cold weather, Nature Climate Change 2014

Robustness and uncertainties in the new CMIP5 climate model projections, Nature Climate Change 2012

Communication of the role of natural variability in future North American climate, Nature Climate Change Perspective 2012

Robust joint projections for humidity and temperature extremes, Nature Climate Change 2012

Anthropogenic and natural warming inferred from changes in Earth’s energy balance, Nature Geoscience 2011

Click here for full list...

Quick links

Main page Reto Knutti




I use several climate models of different complexity, from intermediate complexity to general circulation models for my work. Below is a short summary on a few topics.

Process studies on the ocean thermohaline circulation

For my studies on the large-scale ocean thermohaline circulation, I use the Bern 2.5D Climate Model. This model is designed to study the role of the thermohaline circulation in the Earth climate system of the past, present and future. My early work focussed on the stability and dynamics of the thermohaline circulation on timescales of more than several decades and on spatial scales of more than a thousand kilometers. The simple parameterization of processes results in a computationally efficient climate model suitable for long-term integrations (up to millions of years) and large numbers of simulations not feasible with more complex models. This allows us to focus in detail on the mechanisms and processes of natural climate variability and on the potential anthropogenic climate change.

Probabilistic projections with very large model ensembles

The extreme efficiency of the zonally averaged climate model also allows to calculate ensemble simulations of several thousand members. This approach has recently been used to demonstrate a strategy of how probabilistic forecasts of climate change over the next century can be obtained. The idea is to run a model many times with different parameter combinations and then used observations to constrain the ensemble, i.e. give those model versions more weight that agree well with observations. Technically, these are Bayesian methods, and the result of this procedure is a probability density function of future warming given the observations of the past century.

Uncertainties in global temperature for SRES scenarios B1 and A2
Uncertainties in global temperature for SRES scenarios B1 and A2

Further details can be found in Knutti et al., Nature 2002 (PDF file: 0.2 MB), or in the related News&Views.

Regional probabilistic projections from comprehensive models

Although global mean temperature is a good overall indicator of the expected changes, people are more interested in regional climate projections, since those determine local impacts. We used output from twenty different coupled atmosphere ocean general circulation models and a Bayesian method to obtain regional probabilistic projections of future warming. Instead of calculating just a model mean, this allows for instance to quantify the warming that is likely to occur, i.e. the warming that will be exceeded with at 80% probability. Such models also allow to differentiate between summer and winter changes, and to quantify trends variability and extreme events.

'Likely' warming in 2100 for SRES scenario A1B
'Likely' warming in 2100 for SRES scenario A1B
SRES A1B 2100 multi model mean surface warming
SRES A1B 2100 multi model mean surface warming (°C)

Further details can be found in Furrer et al. GRL 2007 (PDF file).

Paleoclimate modeling

Using the Ecbilt-CLIO climate model we also studied how the ocean connects the polar regions of Greenland and Antarctica during the abrupt climate events in the last ice age, about 50,000 years ago. For the first time, we proposed an improved 'bipolar seesaw' concept, the so-called 'thermal freshwater seesaw' that explains most of the timing and amplitude in the Greenland and Antarctic temperature proxies as well as sea level. The model also captures surprisingly many features of the spatial patterns of temperature and precipitation changes as reconstructed from proxy data. The figure below shows the surface temperature difference simulated by the model when the Atlantic thermohaline circulation switches from a collapsed state to an active state with deepwater formation in the North Atlantic. The associated increased northward heat transport of the ocean causes the North Atlantic to warm by 15 degrees C or more within several decades and the Southern Ocean to cool (the seesaw).

Temperature change for an abrupt warm event in the last glacial period
Temperature change for an abrupt warm event in the last glacial period

Further details can be found in Knutti et al., Nature 2004 (PDF file: 0.8 MB), or in the related News&Views

For more detailed information, please see the Publications page. 


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