Community Talk: Sramana Neogi (Monash University)
Estimating the climate in a global model with small samples: how many do we need?
Abstract
The need for high-resolution global climate model simulations has been widely recognised by the atmospheric science community for decades. One major roadblock for developing this capability is the large amount of computational resources required to carry out the model simulations. Here, we present an approach that could reduce this cost by using relatively short simulations in studying model errors and responses.
As a first step, we try to estimate how much we can learn about the climatology in a global climate model (GCM) simulation run in the AMIP (Atmospheric Model Intercomparison Project) configuration for 35-years from relatively short samples. Analysis of the 35-year AMIP simulation from a GCM shows that creating an ensemble of 4-5 years (randomly selected) from these 35-years is sufficient to replicate climatological model errors. We then run the Australian Community Climate and Earth System Simulator Coupled Model (ACCESS-CM2) in the AMIP configuration for 3-4 months to see if we can replicate the results. We also explore how well the response to El-Nino and La-Nina can be captured by a few simulated years. In this talk, we will discuss the feasibility of running short simulations and its possible applications in high-resolution atmospheric modelling.
Please use this thread for further discussion on this talk.