190 likes | 307 Views
Østersøens rumlighed. 2D mapping. 2D mapping. Data approximation by Data Inverse Variational Analysis (DIVA) Diva webservice Ocean Data View DIVA (batch mode). diva webservice. google : ”gher diva” http://modb.oce.ulg.ac.be/projects/1/diva
E N D
2D mapping • Data approximation by Data Inverse Variational Analysis (DIVA) • Diva webservice • Ocean Data View • DIVA (batch mode)
diva webservice • google : ”gher diva” • http://modb.oce.ulg.ac.be/projects/1/diva • http://gher-diva.phys.ulg.ac.be/web-vis/diva.html
stationer ! classic DIVA default
Comparisons: on July surface temperature1975-2005 WOA 2005 (period?) DIVA on ICES/SDN DIVA 1º grid Baltic Atlas (IOW) DIVA 1º grid ICES/SDN
ODV trajectory Figure 1: Section Spline
my protocol • webservice acces ICES database, could be what so ever (CDI,ODAM…,Excel!) • SAS filter and file generation for DIVA as defined by layer and time period. • Data approximation by Inverse Variational Analysis, produces net cdf files • DIVA (batch mode, or Diva webservice or ODV) • options: • current • detrend function according to defined classes • reference field • mesh, correlation length, S/N R, … • Matlab for plotting and further processing
from bathymetri to bathydensito…? coastline, (0 m) isocline, (>1006 kg.m-3)