Report on the use of the satellite data and data fusion techniques, based on the near real time data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020699%3A_____%2F19%3AN0000172" target="_blank" >RIV/00020699:_____/19:N0000172 - isvavai.cz</a>

Result on the web

—

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Report on the use of the satellite data and data fusion techniques, based on the near real time data

Original language description

Within the SAMIRA project, an important task was a development of data fusion methods combining in situ measurements, satellite observations and chemical transport modelling (CTM) outputs. These three sources are mutually complimentary – in situ measurements provide accurate actual levels of concentrations, satellite data provide reasonably continuous observations of spatial patterns and modelling outputs provide spatially continuous coverage of given area. None of these datasets on its own is ideal for mapping purposes due to either substantial data gaps, insufficient spatial resolution, or large uncertainties. For the combination of different data sources, a range of various methods can be used to create spatial concentration fields. Such methods are often referred to as 'data assimilation' and 'data fusion'. 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 this report, the data fusion has been applied in near real time (NRT). NRT data are examined for four pollutants (NO2, SO2, PM10, and PM2.5) at two spatial domains, namely the Czech Republic and the most of the Europe (covering all four relevant countries, i.e. Czech Republic, Poland, Romania and southern Norway). Two time steps are taken into account – hourly data for all pollutants and daily only for PM10, and PM2.5.

Czech name

—

Czech description

—

Type

O - Miscellaneous

CEP classification

—

OECD FORD branch

10511 - Environmental sciences (social aspects to be 5.7)

Project

—

Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů