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PRIMAVERA: High resolution climate processes. Evaluating the impact of resolution and stochastic physics parameterisations in climate simulations.

Poster
Data di Pubblicazione:
2016
Abstract:
We present here the first results of the Climate SPHINX (Stochastic Physics HIgh resolutioN eXperiments) project, which was conducted in preparation of PRIMAVERA. Climate SPHINX (http://sansone.to.isac.cnr.it/sphinx/) is a comprehensive set of ensemble AGCM simulations aimed at evaluating the sensitivity of present and future climate to both model resolution and stochastic parameterization. The atmospheric component of the EC-Earth Earth-System Model is used to explore the impact of stochastic physics in a large ensemble of 30-year climate integrations at five different horizontal resolutions (from 125km up to 16km for the atmosphere). The project includes more than 110 simulations in both a historical scenario (1979-2008) and a climate change projection (2039-2068), together with coupled transient runs (1850-2100). This paper presents the technical and scientific setup of the experiments and an overview of preliminary results. An improvement in the simulation of Euro-Atlantic atmospheric blocking following resolution increases is observed. It is also shown that including stochastic parameterization in the low resolution runs helps to improve some aspects of the tropical climate - specifically the Madden-Julian Oscillation and the tropical rainfall variability. These findings show the importance of representing the impact of small-scale processes on the large scale climate variability either explicitly (with high resolution simulations) or stochastically (in low resolution simulations). A sub-set of similar experiments with the EC-Earth couple system in which high resolution and stochastic physics will be tested in the ocean component as well are in preparation in the framework of the PRIMAVERA European Union-funded Horizon H2020 project.
Tipologia CRIS:
04.03 Poster in Atti di convegno
Keywords:
High resolution; Stochastic Physics; Climate simulations; Climate scenarios
Elenco autori:
Yang, Chunxue; Corti, Susanna; GRAF VON HARDENBERG, JOST DIEDRICH; Davini, Paolo
Autori di Ateneo:
CORTI SUSANNA
DAVINI PAOLO
YANG CHUNXUE
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/333859
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https://www.conftool.pro/clivar2016/index.php?page=showAbstract&form_id=887&show_abstract=1
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