21 Apr 2023
 | 21 Apr 2023
Status: this preprint is open for discussion.

ModE-Sim – A medium size AGCM ensemble to study climate variability during the modern era (1420 to 2009)

Ralf Hand, Eric Samakinwa, Laura Lipfert, and Stefan Brönnimann

Abstract. We introduce ModE-Sim, a medium size ensemble of simulations with the atmospheric general circulation model ECHAM6 in its LR version (T63/approx. 1.8° horizontal with 47 vertical levels) that covers the period from 1420 to 2009. With 60 ensemble members between 1420 and 1850 and 36 ensemble members from 1850 to 2009 ModE-Sim consists of 31620 simulated years in total. The dataset forms the input for a data assimilation procedure that combines historical climate informations with additional constraints from a climate model to produce a novel gridded 3-dimensional dataset of the modern era. Additionally, ModE-Sim on its own is also suitable for many other applications as its various subsets can be used as initial condition and boundary condition ensemble to study climate variability. The main intention of this paper is to give a comprehensive description of the experimental setup of ModE-Sim and to provide an evaluation of the two key variables 2m-temperature and precipitation. We demonstrate ModE-Sims ability to represent their mean state, to produce a reasonable response to external forcings and to sample internal variability. At the example of heat waves we show that the ensemble is even capable of capturing extreme events.

Ralf Hand et al.

Status: open (until 21 Jun 2023)

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  • RC1: 'Comment on egusphere-2023-209', Anonymous Referee #1, 26 May 2023 reply

Ralf Hand et al.


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Short summary
ModE-Sim is an ensemble of simulations with an atmosphere model. It uses observed sea surface temperatures, sea ice conditions and volcanic aerosols for the period 1420 to 2009 as model input while accounting for uncertainties in these. This generates several representations of the possible climate given these preconditions. Such a setup can be useful to understand mechanism that contribute to climate variability. This paper describes the setup of ModE-Sim and evaluates its performance.