[ecco-support] associating SST and bottom depth

[Patrick Heimbach]

Hi Alan,

similar for ECCO, the latest product (we call it ECCO version 4, release 1) is available online for download. Please take a look at 
http://mit.ecco-group.org/opendap/ecco_for_las/version_4/release1/contents.html

Physical fields are available at
http://mit.ecco-group.org/opendap/ecco_for_las/version_4/release1/nctiles/contents.html
Grid files are in
http://mit.ecco-group.org/opendap/ecco_for_las/version_4/release1/nctiles_grid/contents.html

Some rather technical documentation is in 
http://mit.ecco-group.org/opendap/ecco_for_las/version_4/release1/ancillary_data/contents.html
but I point you to a paper that is about to appear in GMD, currently in GMDD at
http://www.geosci-model-dev-discuss.net/8/3653/2015/gmdd-8-3653-2015.html

Please let me know if you have further questions, ideally to
ecco-support at mit.edu

Cheers
-Patrick

On Aug 27, 2015, at 11:24 AM, Alan <alan.wallcraft at hycom.org> wrote:

> All the GLBa0.08 90.6 to 91.1 cases use the same bathymetry, which is available as a netCDF ftp://ftp.hycom.org/datasets/GLBa0.08/expt_91.1/topo/depth_GLBa0.08_09.nc
> 
> Let me know if you prefer the GLBu0.08 (interpolated from GLBa0.08) fields.  Its bathymetry is not currently on-line, but I can make it available too.
> 
> The reanalysis (19.0 and 19.1) uses a different bathymetry and it is already on-line ftp://ftp.hycom.org/datasets/GLBu0.08/expt_19.1/topo/depth_GLBu0.08_07.nc
> 
> Alan.
> 
> 
> On Thursday, August 27, 2015 at 9:44:25 AM UTC-5, Fowler, Mark wrote:
> Hello,
> 
>  
> I’ve been trying to find a spatial data source that includes both sea surface temperature and bottom depth. Between the ECCO, HYCOM and NOAA websites I can find any number of variants with one or the other, but not one with both together. I’m trying to avoid merging separate topographical and SST data sources during remote download processing – repeatability concerns associated with subsampling resolutions, efficiency concerns using a large lookup grid (experimented doing this part post-extraction in R). So I’m trying to find a data source in which the two variables conveniently coexist and will remain the same (across updates) for a given location and date-time, unless a change is simply a consequence of edit revisions. Hoping for global, but North Atlantic would suffice. Anybody know of an option here?
> 
>  
> Motivation – I’m fitting tracks of various shark species tagged with popoffs, where tag measures of sea surface temperature are reconciled with satellite measures of sea surface temperature to estimate the locations of the animals. The tags also  monitor depth, so I would simply like to eliminate satellite SST candidates associated with bottom depths that are shoaler than the maximum diving depth of an animal for a given day.
> 
>  
> Mark Fowler 
> Population Ecology Division 
> Bedford Inst of Oceanography 
> Dept Fisheries & Oceans 
> Dartmouth NS Canada 
> B2Y 4A2 
> Tel. (902) 426-3529 
> Fax (902) 426-9710 
> Email Mark.Fowler at dfo-mpo.gc.ca 
> 
> 
>  


--------------------------------------------------------
Patrick Heimbach, Ph.D. | http://heimbach.wordpress.com

* The University of Texas at Austin *
The Institute for Computational Engineering and Sciences
Institute for Geophysics | Jackson School of Geosciences
201 East 24th Street, POB 4.232 | Austin, TX 78712 | USA
FON: +1-512-232-7694 | Email: heimbach at utexas.edu

* Massachusetts Institute of Technology *
Department of Earth, Atmospheric, and Planetary Sciences
77 Massachusetts Ave, 54-1420 | Cambridge MA 02139 | USA
FON: +1-617-253-5259 | Email: heimbach at mit.edu
--------------------------------------------------------




-------------- next part --------------
A non-text attachment was scrubbed...
Name: smime.p7s
Type: application/pkcs7-signature
Size: 1845 bytes
Desc: not available
Url : http://mailman.mit.edu/mailman/private/ecco-support/attachments/20150827/cd88feff/attachment.bin