Presentations from September Workshop on Climate Model-Based Research at WHOI

The “Workshop on Climate Model-Based Research at WHOI”, hosted on September 8th, 2016, in Clark 507. The full schedule of presentations can be found here, and the presentations and posters are available for download below.

Presentations from the workshop:

  • Caroline Ummenhofer (PO) – “Introduction to CMIP5, CMIP6, and the WHOI server” (PDF|PPTX)
  • Scott Doney (MC&G) – “Ocean Carbon Cycle & Biogeochemistry” (PDF)
  • Hyodae Seo (PO) – “Coupled impacts of the diurnal cycle of SST on the MJO”
  • Tom deCarlo (G&G) – “Climate modulates internal wave activity in the northern South China Sea” (PDF|PPTX)
  • James Bramante – (G&G) “Do CMIP5 models capture storm variability in the WNP over the last millennium?” (PDF|PPTX)
  • Laura Fleming (PO) – “North Pacific decadal variability in the CMIP5 last millennium simulations” (PDF)
  • Young-Oh Kwon (PO) – “Winter surface storm tracks in the CMIP5 models” (PDF|PPTX)

Posters from the Workshop:

  • Caroline Ummenhofer (PO) – “Late Holocene dynamics of the Indo-Pacific tropical rain belt”
  • Elizabeth Wallace (G&G) – “Using GISS-E2-R model output to assess the relationship between the Atlantic Meridional Mode (AMM) and paleohurricane activity in the Bahamas”
  • Young-Oh Kwon (PO) – “North Atlantic Oscillation, jet, and blocking in CESM1 Large Ensemble Simulations” (PDF)
  • Jennie Rheuban/Ivan Lima (MC&G) – “Developing a model for the US Sea Scallop fishery that incorporates ocean acidification and warming” (PDF)

Presentations from the January 2015 workshop can be found here.

CISL & NCAR Announces “CMIP Analysis Platform”

The following message was sent out to potential users to inform them of the recent announcement of a new service made available from CISL and NCAR, with support from NSF, to the community of atmospheric, climate, and related sciences. Please share this with any colleagues or students who may be interested.

David L. Hart, NCAR/CISL User Services Manager, writes:

The Computational and Information Systems Laboratory (CISL) and NCAR, with support from NSF, are making available a platform to support analysis of large-scale CMIP5 data. The new CMIP Analysis Platform encompasses the Geyser and Caldera analysis clusters, the GLADE disk system, and up to 500 TB of CMIP5 data, which includes all the CMIP5 data published by NCAR and will include other CMIP5 data requested by users.

The goal of the CMIP Analysis Platform is to support analysis that would otherwise be difficult or impossible for university researchers to conduct, either because of a lack of disk space or lack of analysis software or computing capability.

These challenges will only increase with the even larger data sets expected from the forthcoming CMIP6 activities. CISL is using CMIP5 data to roll out the CMIP Analysis Platform and prepare for a larger-scale environment to be deployed for analysis of CMIP6 data.

The CMIP Analysis Platform is available to any researcher who is eligible for a small university allocation, which includes scientists with NSF awards as well as graduate students and postdoctoral researchers pursuing their dissertation or postdoctoral projects. Users with existing projects on the Yellowstone environment can also access the CMIP5 data.

Interested users can request allocations on the CMIP Analysis Platform and request CMIP5 data sets to be added to the file system. CISL staff will locate the data and add it to the GLADE space. Users can then use the Geyser and Caldera systems to perform their analyses. To support the widest possible range of research, data sets will be rotated in and out regularly based on user requests and demand for the various sets of data.

To learn more about the CMIP Analysis Platform, to request allocations or data sets, or to browse the currently available data, see the CMIP Analysis Platform documentation at

Presentations from the January 21st Informational Session

The following presentations were used as part of the  January 21st CMIP5 Informational Session. The first four presentations provide examples of how CMIP5 data is used in research projects within the institution. The final presentation provides some updates about the usage and history of the CMIP5 server, available datum, and method of accessing those datum from the WHOI CMIP5 server.

Centennial Scale Changes in Global Water Cycle in CMIP5 (PDF) – Levang, Sam; Schmitt, Ray

Palagic Seascape Ecology and CMIP5: Characterizing the Trajectory of Dynamic Ocean Habitats (PDF) – Kavanaugh, Maria T.

Using the WHOI CMIP5 Archive to Understand Paleoclimate Dynamics (PDF) – Anchukaitis, Kevin; Fleming, Laura

Is the Climate Homogeneous at IPCC Class Models’ Resolution (PDF) – Jenouvrier, Stephanie; presented by Karnauskas, Kristopher

CMIP5 Data Updates & Info (PDF) – Ummenhofer, Caroline

Detailed Descriptions of CMIP5 Models and Relevant References

The following documentation describes the climate models that are available on the WHOI CMIP5 Community Storage Server:

  • CMIP5 Models Table (PDF) – This document describes some of the features of the CMIP5 models and provides relevant references.
  • WG1AR5 – Appendix 9.A (PDF) – This document provides detailed descriptions of the salient features of the Atmosphere–Ocean General Circulation Models (AOGCMs) and Earth System Models (ESMs) participating in CMIP5 models and relevant references.

Select MRI-CGCM3, CSIRO-Mk3L-1-2, & HadCM3 Datasets Added for the “Past Millennium” Experimnet

The following datasets have been added by request of K. Anchukaitis. These downloads are currently in progress and should be available shortly.

pmip3.output.UOED.HadCM3.past1000.mon.atmos.Amon.r1i1p1.v20130313| (ESGF Metadata | ESGF search | download script)

pmip3.output.UNSW.CSIRO-Mk3L-1-2.past1000.mon.atmos.Amon.r1i1p1.v20120307| (ESGF Metadata | ESGF search | download script)

cmip5.output1.MRI.MRI-CGCM3.past1000.mon.atmos.Amon.r1i1p1.v20140306| (ESGF Metadata | ESGF search | download script)

cmip5.output1.MRI.MRI-CGCM3.past1000.mon.ocean.Omon.r1i1p1.v20140306| (ESGF Metadata | ESGF search |  download script)

Security Advisory: The “Heartbleed” OpenSSL Bug

Hello all,

In light of the recent OpenSSL Security Advisory on the TLS heartbeat read overrun bug, also known as “Heartbleed”, the openssl package on has been has been updated to the latest stable release. Although this bug is unlikely to affect cmip5, which is only accessible via the WHOI private network, secure information on many popular websites may already have already been compromised, including:

  • Dropbox
  • Facebook
  • GitHub
  • Google, Goolge+, Gmail, & Youtube
  • Instagram
  • Pintrest
  • Netflix
  • SoundCloud
  • Tumblr
  • USAA
  • Yahoo & Yahoo Mail

Although there is no indication that this vulnerability has been exploited, or that any secure information has been leaked from any of these websites, it may be prudent to change your passwords on these sites. If you use the same password on multiple sites, and any of those sites are potentially compromised, then your login is potentially compromised on all of those sites.

Here is a simplified explanation of the Heartblead bug (source:


Google Analytics Added


Google Analytics has been add to the CMIP5 Community Storage Server website. It is a service offered by Google that generates detailed statistics about a website’s traffic and traffic sources. We hope that the data provided by this service will help to justify support for future development of CMIP5 Community Storage Server project. Please ensure that your browser is configured to use JavaScript as it is necessary for both the Google Analytics tools and CMIP5 Advanced Dataset Search to function properly.

Daily Precipitation and Surface Temperature Data to be Added for Historical and RCP 8.5 Experiments.

By popular request, daily 2D precipitation and surface temperature data are soon to be added for both the Historical and RCP 8.5 experiments. These datum will be comprise the first daily time frequency data to be provided by the CMIP5 Community Storage Server. Stay tuned for more updates on the availability of this data.