S-CMIP_data
Title: S-CMIP_data
SNIC Project: SNIC 2016/8-3
Project Type: DCS
Principal Investigator: Erik Kjellström <erik.kjellstrom@smhi.se>
Affiliation: Stockholms universitet
Duration: 2016-03-22 – 2020-07-01
Classification: 10501 10503 10508
Homepage: http://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6
Keywords:

Abstract

Since 1995, the Coupled Model Intercomparison Project (CMIP) has internationally coordinated climate model experiments on behalf of World Climate Research Programme (WCRP). By documenting, analyzing and comparing, insights are gained into climate processes, variability and climate change. In this proposal, the Swedish community of Earth System Modeling, with members from Stockholm, Lund, Gothenburg and Uppsala Universities together with SMHI, is asking for active data storage and analysis resources for climate science and earth system projects related to the sixth phase of CMIP (CMIP6). CMIP6 has started and is planned to end not before 2020. CMIP generates a wealth of scientific value and also provides the basis for assessment of regional and local climate by downscaling of the global scale information to finer scale. The recent COordinated Regional climate Downscaling Experiment (CORDEX) is the primary example for regional downscaling of CMIP information. The combined results of CMIP lead to improved decision support, and allow for informed measures targeting climate change mitigation and adaptation. The primary model used to generate output for S-CMIP_data is the EC-Earth model. It is a state-of-the-art Earth System Model (ESM), developed and used by a consortium of European Met Services, research institutes and universities from 12 European countries. S-CMIP_data is the active data storage, analysis and post-processing project linked to the S-CMIP project (current allocation SNIC 2015/16-18) which provides compute resources for the Swedish CMIP simulations. S-CMIP climate simulations generate substantial amounts of data, which needs to to be stored, processed and published for the international science community. Those tasks require a data infrastructure, which resides on elements, such as large accessible disks, which exist at NSC. This project is independent of the Rossby (snic2014-10-1) and Bolin Centre (snic2014-10-3) DCS allocations, analogous to the previous CMIP5 allocation created on Vagn.