ODV Gridding Methods Reiner Schlitzer

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Presentation transcript:

ODV Gridding Methods Reiner Schlitzer Alfred Wegener Institute for Polar and Marine Research

Data Visualization – Honest Way

Data Visualization – Gridded Field

easy-to-use, fast and „reliable“, Gridding Algorithm Requirements: easy-to-use, fast and „reliable“, usable for large datasets of >100000 points Grid Value Estimation by Weighted Averaging

Variable Resolution Grid

Data Visualization (2) „Honest“ Way Gridded Field

Gridding Methods Gridding is … Methods important and definitely needed challenging mathematical problem obtaining reliable fields is an „art“ Methods Inverse distance weighting Pros: fast, good results for homogenous data coverage Cons: erodes extrema; poor results for sparse and inhomogenous data coverage Objective analysis Pros: optimal estimation Cons: very slow, requires knowledge of data statistics, „small“ datasets only Variational data interpolation (DIVA) Pros: quite fast, optimal estimation, supports domain separation, anisotropic statistics and rotated correlation ellipses

DIVA Developed at U Liege 2-Step procedure: Supports: (1) Triangular mesh generation on possibly complex domain(s) (2) Variational fitting to data and estimation at arbitrary points Supports: (1) Variable mesh resolution (2) Multiple sub-domains (3) Anisotropic statistics http://modb.oce.ulg.ac.be/projects/SeaDataNet/DivaUserGuide2008.pdf

DIVA Integration in ODV ODV will automatically… create all files for DIVA run DIVA mesh generation and estimation read and display the gridded field

Domain Example 1

Domain Example 2 West Atlantic East Atlantic

Example (1) - Separating domains…

Example (2) - Maintaining extremes…

Example (3) - Filling large gaps…

Download and install latest version of ODV 4.5. 0. Availability http://odv.awi.de Download and install latest version of ODV 4.5. 0. DIVA is included. Available for Windows, Mac OS X, and Linux.