%\begin{minipage}{.8\textwidth}
\begin{wrapfigure}{R}{0.2\textwidth}
\begin{center}
\includegraphics[width=0.2\textwidth]{autosubmit_qr.png}
\end{center}
\end{wrapfigure}

To support complex tasks like running weather and climate experiments, the Autosubmit workflow manager has been developed to be used by the whole department as a unique framework to carry out Earth science-related simulations, mainly in HPC environments. 

%\setlength\parindent{15pt}
Autosubmit is a Python-based tool to create, manage and monitor many types of experiments remotely without manual intervention.  It can orchestrate all the tasks in a workflow by managing their dependencies, interfacing with all the platforms involved, and handling eventual errors. 
%\end{minipage}
%\begin{minipage}{.2\textwidth}
%\end{minipage}
%\begin{center}
%\includegraphics[width=0.7\textwidth]{workflow.png}
%\captionof*{figure}{\color{NavyBlue} Example of a complex workflow run with Autosubmit. Each box is a job, i.e. a single step in the workflow. The arrows represent the dependencies between jobs and the colors represent the status of each job.}
%\end{center}
%
%The main features of Autosubmit are:
%
%\begin{itemize}
%\item \textbf{Automatization}: orchestrating different kind of tasks and environments without intervention.
%\item \textbf{Provenance and reproducibility}: unique experiment IDs, storing all the parameters needed to reproduce them (Autosubmit version, model version, configuration, etc.). 
%\item \textbf{Failure tolerance}: automatic retrials and ability to rerun chunks in case of corrupted or missing data, repeating postprocessing and transfers if needed. Recovery capabilities.
%\item \textbf{Versatility}: variety of workflows supported, from Auto-Models to data-centric or performance analysis, with different potentialities for each case.
%\end{itemize}
