Algoritm Theoretical Basis Document – Data fusion

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020699%3A_____%2F17%3AN0000152" target="_blank" >RIV/00020699:_____/17:N0000152 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Algoritm Theoretical Basis Document – Data fusion
Original language description
This document provides a theoretical description of the data fusion methodology and its uncertainty estimates used within the SAMIRA project https://samira.nilu.no/, which aims to improve air quality assessment through synergetic use of data from satellites, in situ air quality monitoring networks and output from chemical transport models. Data fusion is a technique for combining two or more datasets in an objective, mathematically meaningful way, in order to obtain a new dataset which has superior properties to any of the input datasets. Data fusion is a subset of data assimilation methods in a wider sense. One of the often used data fusion methods is residual kriging. In the residual kriging, monitoring, modelling and other supplementary data are combined in multiple linear regression and subsequent spatial interpolation of its residuals by ordinary kriging (residual kriging).
Czech name
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Czech description
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Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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