Simulations with earth system model EC-Earth
Title: Simulations with earth system model EC-Earth
SNIC Project: SNIC 2020/2-8
Project Type: SNIC Large Storage
Principal Investigator: Qiong Zhang <qiong.zhang@natgeo.su.se>
Affiliation: Stockholms universitet
Duration: 2020-07-01 – 2021-07-01
Classification: 10501 10508 10509
Keywords:

Abstract

Using the Earth System Model EC-Earth, we are performing the climate model simulations for the past climate to understand the response of the climate system to different climate forcings that are very different from present and historical periods. By using information about past climate changes, the credibility of climate projections for future climate change can be assessed. In the past years, we have performed the core experiments of PMIP4/CMIP6, including five time-slice (or equilibrium) simulations and a transient simulation. Four experiments have finished, one time-slice experiment for LGM and the last millennium simulation are still running. We have published the completed simulation data on ESGF, as a contribution to CMIP6 and IPCC AR6. Within our VR grant on ‘Simulating the green Sahara with an Earth System Model’, we are running a long transient simulation from early Holocene to late Holocene with EC-Earth-VEG-LR to investigate if the model can reproduce an abrupt ecosystem regime shift occurred during the mid-Holocene. Meanwhile we are running several sensitivity simulations to test the different hypothese on interaction between climate and ecosystem. In this project we will produce a huge amount of data. Supported by VR project "Past-present-future Monsoon variability revealed by stable water isotopes", we are implementing the stable water isotope tracers into EC-Earth model. The first step is to include the stable water isotope into atmospheric model Open IFS, and later in land model and ocean model. This work will enable us a powerful modelling tool to trace the hydrological cycle in the climate system more precisely and improve the representation of relevant physical processes such as vertical diffusion and convection. During the code development stage there are no much need for HPC resource and storage. We foresee the model will produce data in the end of 2020. Being one Swedish modelling group that contribute to CMIP, we use the HPC project for our PMIP4 simulations (SNIC 2016/8-3) and data storage (proposal SNIC 2020/2-4). We use the Bolin Centre for Climate Research HPC project (SNIC 2019/1-2 and proposal 2020/1-31) for our VR research projects. Due to the large amount of data we are producing, we apply the storage in this proposal (SNIC 2020/2-8).