GRUAN Implementation Plan updated


Recently, an update of the GRUAN Implementation Plan for the period 2013-2017, has been published as GCOS-165. It extends the original ‘GRUAN Implementation Plan 2009-2013’ into the period 2013-2017 and describes the strategy to implement GRUAN and lists the short- and medium-term GRUAN work plans, which are updated on an annual basis.

GATNDOR Work Plan for April 2012 – March 2013


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GATNDOR Work Plan April 2011-March 2012



GATNDOR is a research team supporting the development and implementation of GRUAN on scientifically sound foundations.  The team performs focused, short-term research to address specific topics identified by the GRUAN science and management community.  GATNDOR efforts are coordinated with those other GRUAN Task Teams and with national GCOS programs when appropriate.

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GRUAN manual open for discussion


Here is a first draft of the GRUAN manual (formerly called the GRUAN guide but now renamed to be consistent with WMO nomenclature). Click here for a MS_doc version.

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GRUAN Analysis Team for Network Design and Operations Research (GATNDOR)


Updated information on GATNDOR activities and plans is available in the 2010-2011 GATNDOR Work Plan and GATNDOR conference call notes. Both have been posted to the blog in pdf form.

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Funding Announcement for the Atmospheric System Research (ASR) program


The Office of Biological and Environmental Research within the U.S. Department of Energy’s Office of Science has posted the first Atmospheric System Research (ASR) Funding Opportunity Announcement (FOA) to develop innovative laboratory and observational data analyses and to utilize the resulting knowledge from such analyses to improve cloud and aerosol formulations in global climate models.

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Discussion on the co-location / coincidence issue


The following paragraphs from an e-mail by John Dykema describes how co-location and coincidence could be formalized.  As an example, the measurements of a temperature profile by a sensor on a balloon and a profile retrieved from microwave radiometry are assumed.

Once we have two well-characterized sensors with rigorously assessed and validated uncertainties, then we can make robust recommendations on co-location.

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