PAGES

PAGES/CLIVAR WORKING GROUP

The CLIVAR/PAGES working group encourage open discussions on intersection activities via email.

If you would like to join the discussion group, please fill in the form below.

Meeting Details
Date: 
Thursday, 1 March, 2012 - Saturday, 3 March, 2012
Venue City: 
Honolulu, Hawaii
Venue Country: 
USA
Attendance: 
Open
Contact Name: 
Catherine Beswick
Contact Email: 

The CLIVAR/PAGES working group are working towards fostering greater collaboration between the CLIVAR and PAGES communities. Please contact us to let us know of any other opportunities.

The CLIVAR/PAGES intersection is looking for nominations from scientists across the CLIVAR and PAGES communities who are interested in fostering cross-cutting initiatives that involve the use of paleo-climate data in extending and contextualising modern observations, using CLIVAR-related insights and understanding to inform the interpretation of past climate data, and/or helping link modelling of past, present and future.

Location: 
Honolulu, Hawaii
Date: 
Thu, 01/03/2012 - Sat, 03/03/2012

 

Location: 
Trieste, Italy
Date: 
Mon, 09/06/2008 - Wed, 11/06/2008

The report from the workshop is available here.

For more information on this workshop, please see: http://users.ictp.it/%7esmr1972/

Location: 
Denver, Colorado, USA
Date: 
Fri, 28/10/2011

 

Venue

The meeting was held at the Sheraton Denver Downtown Hotel, Plaza Court 2.

Agenda

The agenda is available here.

Background Documents

The CLIVAR/PAGES Intersection Vision Document 2009 (Summary document)

Valerie Masson-Delmotte (co-chair) (2012)   Lab. Modelisation du Climat et l'Environment, France
Gavin Schmidt (co-chair) (2012)   NASA GISS & Centre for Clim System Res., Columbia Univ., USA
Caspar Ammann (2012)  

1. Promote improved high resolution, well-dated, quantitative paleoclimate records with seasonal to interannual resolution in regions which are of direct relevance to IGBP and WCRP.

2. Formulate and promote, in collaboration with PAGES and CLIVAR, a programme for analyzing and synthesizing paleoclimatic data in order to reveal evidence of patterns of variability within the climate system over seasonal to millennial time scales.