Data

The following sections detail information on data access methods, proper citation and acknowledgment, and how to search the WHOI CMIP5 Community Storage Server.

Data Access Methods

There are currently two primary methods to access the CMIP5 data. Establishing an NFS mount allows one to access the data directly on the server without needing to download or transfer the (large) files to one’s own local computer. Data files are effectively accessible as though they are stored on your local machine. For example, after mounting, one can point a MATLAB session running on a local workstation to the location of the data file(s) on the WHOI CMIP5 storage server and read in the data.

Alternatively, one may download/transfer files from the WHOI CMIP5 storage server via FTP using command line, a GUI client, or a web browser. This allows allow faster read speeds and the ability to modify data files if desired, at the cost of local storage overhead.

Read more about data access methods…

Data Citation & Acknowledgment

The following section describes the details of proper citation and acknowledgement for use of CMIP5 model output data.

WHOI CMIP5 Community Storage Server Acknowledgment

If you acquire model output data via the WHOI CMIP5 Community Storage Server, we ask that you acknowledge us in the use of your data. This may be done by including the following text in any documents or publications using these data.

CMIP5 model output data provided by the WHOI CMIP5 Community Storage Server, Woods Hole Oceanogrpahic institution, Woods Hole, MA, USA from their website at http://cmip5.whoi.edu/ (WHOI internal use only).

We would also appreciate receiving a copy of the relevant publications. This will help to justify continued support and future development of the WHOI CMIP5 Community Storage Server. Thank you!

CMIP5 Citation

In order to document CMIP5’s impact and enable ongoing support of CMIP, you are obligated to acknowledge CMIP5 and the participating modeling groups. The CMIP5 model output should be referred to as “the CMIP5 multi-model ensemble [archive/output/results/of simulations/dataset/ …]”. In publications, you should include a table listing the models and institutions that provided model output used in your study.

Read more about citations & acknowledgment…

 How to Find Data

The easiest way to find the files you’re looking for is to use the CMIP5 Community Storage Server – Advanced Dataset Search page. This page provides free-text and faceted search functionality of all available data files and a dynamic, paginated result table. FTP and HTTP links to the data files are provided in the result table to allow users to download files of interest directly from the search page. Additionally, the result set – including paths and file names – may be downloaded in a variety of different formats including CSV, JSON, PHP, Python, and XML.

For more information on how to use the search page, see the Advanced Dataset Search: User Manual.