Data fusion technology - kriging
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2FNO______%3A_____%2F24%3AN0000006" target="_blank" >RIV/NO______:_____/24:N0000006 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.5281/zenodo.11073316" target="_blank" >https://doi.org/10.5281/zenodo.11073316</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Data fusion technology - kriging
Original language description
This package is the deliverable D11 in WP4 of the TURBAN project. The package consists of software (python scripts) and a demonstration example of usage. The aim is to obtain statistically optimal meteorological map on a regular spatial grid of high resolution.
Czech name
—
Czech description
—
Classification
Type
R - Software
CEP classification
—
OECD FORD branch
10509 - Meteorology and atmospheric sciences
Result continuities
Project
<a href="/en/project/TO01000219" target="_blank" >TO01000219: Turbulent-resolving urban modeling of air quality and thermal comfort</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Internal product ID
TURBAN - D11
Technical parameters
The package scripts combine and interpolate provided heterogenioes datasets of high resolution (NETATMO data and PALM simulations). The software package accepts diverse meteorological data sets, namely, the meteorological observations from stations (here given by the NETATMO set of stations from the Bergen data collected for theproject, see Esau, 2023) and results of PALM simulations (here, the PALM run in large domain set2, see Esau et al., 2024). The package also utilized the digital elevation model (DEM) of the Norwegian Mapping Authorities profived in geo-tiff format.
Economical parameters
The package consists of software (python scripts) and a demonstration example of usage. The aim is to obtain statistically optimal meteorological map on a regular spatial grid of high resolution. It is available under CC BY 4.0 licence.
Owner IČO
943432449
Owner name
Nansen Environmental and Remote Sensing Centre, UiT The Arctic University of Norway