Abstract. Over the past few years, increasing attention has been focused on the need to publish computer code as an integral part of the research process. This has been reflected in improved policies on publication in scientific journals, including key related issues such as repositories and licensing. We explore the state of the art of code availability and the sharing of climate models using the Fifth Coupled Model Intercomparison Project (CMIP5) models as a test bed, and we include some particular reflections on this case. Our results show that there are many limitations in terms of access to the code for these climate models and that the climate modelling community needs to improve its code-sharing practice to comply with best practice in this regard and the most recent editorial publishing policies.
Abstract. Over the last years, we have seen growing concerns on the need to publish computer code as an integral part of the research process. This has been reflected on improved publishing policies by scientific journals, addressing the relevant issues such as repositories or licensing. Here we explore the state-of-the-art of code availability and sharing for climate models, using as testbed the models from the Climate Model Intercomparison Project 5 and make some reflections on it. Our results show that there are great limitations in the access to the code of these climate models and that the climate modelling community needs to greatly improve their code sharing practices in order to comply with the best scientific practices and the most up to date editorial publishing policies.
<p><strong>CONDE (Climate simulation ON DEmand)</strong> is the final result of our work and research about climate and meteorological simulations over an HPC as a Service (HPCaaS) model. On our architecture we run very large climate ensemble simulations using a, adapted, WRF version that is executed on-demand and that can be deployed over different Cloud Computing environments (like Amazon Web Services, Microsoft Azure or Google Cloud) and that uses BOINC as middleware for the tasks execution and results gathering. Here, we also present as well some basic examples of applications and experiments to verify that the simulations ran in our system are correct and show valid results.&#160;</p>
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