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This document discusses the functionality and applications of the DIVA (Data Inversion and Variational Analysis) web service, which provides robust tools for approximating oceanographic data including surface temperatures from 1975 to 2005 in the Baltic region. It highlights the ability to generate netCDF files, perform data analysis through various modes (batch, web service), options for trend filtering, and access to ICES databases. The use of MATLAB for plotting and analysis is also detailed, showcasing how DIVA facilitates comprehensive ocean data insights.
Østersøens rumlighed
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Presentation Transcript
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)