1. Karen Moe, NASA Satoko Horiyama Miura, JAXA

2.  Satoko, Karen to identify liaison candidates for Precipitation Constellation and WGISS. WGISS-27.  At WGISS-26, Erich Stocker(NASA) and Masayuki Ohta (JAXA) presented overviews of the CEOS Precipitation Constellation from a NASA and JAXA perspective (respectively). Discussion followed and this action was identified.

3.  Date : 16 March 2009  Participants; Erich Stocker, Satoko Miura, Karen Moe  Results; ◦ Too early for GDaWG to identify a regular participant in WGISS ◦ A WGISS liaison to GDaWG would be the place to start.

4.  GPM Data Working Group (GDaWG) will meet on June 19. ◦ The role of the GDaWG with respect to the CEOS PC will be discussed, as well as the WG charter.  GDaWG has JAXA, NASA and ESA/CNES active participation and is looking for increased involvement by China (FY3) and Russia, among others.  GDaWG would like to adopt a data democracy position (see next slide for details).

5.  The key to the data democracy is "automated access to data for users without manual intervention or permission needed in the middle of access (e.g. interactive acknowledgement of data policies, interactive yes or no windows, etc.)"  Anything that interrupts a "decision support tool" access to data it needs in an automated fashion is not data democracy.

6.  Precipitation data differs significantly from 2D surface data, such as land images. Participation in GDaWG offers the opportunity to fully appreciate the unique needs of the layered precipitation data and implications for geospatial metadata and services.  GDaWG also has the feature that it can help WGISS prototype and metadata creators recognize the impact of some of their decisions if complexity becomes to heavy.

7.  WGISS Liaison(s) to GDaWG  Different people could fill a WGISS liaison position (it does not need to be a single person). Helpful background might include an understanding of: ◦ What WGISS can do for CEOS constellation support ◦ Data production issues ◦ Application issues from a user’s point of view ◦ Experience with typical data tools & services (e.g. subsetting, browse, interface protocols like OpenDAP, notification services, help desk (e.g. help with using old data set formats), metadata, etc.)