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DIVA Software
DIVA (Data-Interpolating Variational Analysis) allows the spatial interpolation/gridding of data (''analysis'') in an optimal way, comparable to optimal interpolation (OI), taking into account uncertainties on observations. In comparison to standard OI, used in Data assimilation, DIVA, when applied to ocean data, takes into account coastlines, sub-basins and advection because of its variational formulation on the real domain. Calculations are highly optimized and rely on a finite element resolution. Tools to generate the finite element mesh are provided as well as tools to optimize the parameters of the analysis. Quality control of data can be performed and error fields can be calculated. Also detrending of data is possible. Finally 3D and 4D extensions are included with emphasis on direct computations of climatologies froODV spreadsheet files. The software whose first version was available since 1996, can now be downloaded at thDIVAsite and is the reference tool for calculating clim ...
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Data Assimilation
Data assimilation is a mathematical discipline that seeks to optimally combine theory (usually in the form of a numerical model) with observations. There may be a number of different goals sought – for example, to determine the optimal state estimate of a system, to determine initial conditions for a numerical forecast model, to interpolate sparse observation data using (e.g. physical) knowledge of the system being observed, to set numerical parameters based on training a model from observed data. Depending on the goal, different solution methods may be used. Data assimilation is distinguished from other forms of machine learning, image analysis, and statistical methods in that it utilizes a dynamical model of the system being analyzed. Data assimilation initially developed in the field of numerical weather prediction. Numerical weather prediction models are equations describing the dynamical behavior of the atmosphere, typically coded into a computer program. In order to use th ...
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SeaDataNet
SeaDataNet is an international project of oceanography. Its main goal is to enable the scientific community to access historical datasets owned by national data centers. Description This project aims to provide a web service permitting to retrieve validated datasets (temperature, oxygen, salinity, nutrients, etc.) from 45 different National Data Centers of 35 countries having coasts along European seas. Therefore SeaDataNet is a standardized system for managing the large and diverse data sets collected by the oceanographic fleets and the automatic observation systems. Additional objectives consist in creating product with aggregated data such as climatological descriptions. This European funded project has started in 2004, the project is currently in its second phase with fundings for 2012 to 2016. Most of the datasets are free of access, but some are restricted to institutes. In term of harmonization SeaDataNet has chosen standards, vocabularies, tools that are used in the di ...
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Ocean Data View
Ocean Data View (ODV) is a proprietary, freely available, software package for the analysis and visualization of oceanographic and meteorological data sets. ODV is used by a large number of oceanographers. The UNESCO Ocean Teacher project employs ODV as one of its main analysis and display tools. ODV is used to display and analyze data from several oceanographic projects such as Argo, World Ocean Circulation Experiment, World Ocean Database Project, SeaDataNet, World Ocean Atlas, and Medar/Medatlas projects. Ocean Data View includes also options that permit to perform objective analysis In philosophy, objectivity is the concept of truth independent from individual subjectivity (bias caused by one's perception, emotions, or imagination). A proposition is considered to have objective truth when its truth conditions are met withou ... thanks to the add-on DIVA software. Notes and references {{reflist, 2 External links * http://odv.awi.de/ Earth sciences graphics software Da ...
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Data Analysis Software
In the pursuit of knowledge, data (; ) is a collection of discrete values that convey information, describing quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted. A datum is an individual value in a collection of data. Data is usually organized into structures such as tables that provide additional context and meaning, and which may themselves be used as data in larger structures. Data may be used as variables in a computational process. Data may represent abstract ideas or concrete measurements. Data is commonly used in scientific research, economics, and in virtually every other form of human organizational activity. Examples of data sets include price indices (such as consumer price index), unemployment rates, literacy rates, and census data. In this context, data represents the raw facts and figures which can be used in such a manner in order to capture the useful information out of it. Dat ...
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