Auxiliary data set for Mäkinen et al. (2021) Bayesian Classification of Meteorological and Non-Meteorological Targets in Polarimetric Weather Radar Measurements

Beskrivning

Auxiliary data for the paper Mäkinen et al. 2021. Bayesian Classification of Meteorological and Non-Meteorological Targets in Polarimetric Weather Radar Measurements. Submitted to Remote Sensing. The data consist of a XML record of radar observation metadata defining the classifier training set, and the data for the Naive Bayes multicore classifier used in the paper. The files are in plaintext and self-documenting.
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Publiceringsår

2021

Typ av data

Upphovspersoner

Koistinen, Jarmo - Upphovsperson, Medarbetare

Mäkinen, Terhi - Upphovsperson, Medarbetare

Pulkkinen, Seppo - Upphovsperson, Medarbetare

Ritvanen, Jenna - Upphovsperson, Medarbetare

Weisshaupt, Nadja - Upphovsperson, Medarbetare

Projekt

Övriga uppgifter

Vetenskapsområden

Geovetenskaper

Språk

engelska

Öppen tillgång

Öppet

Licens

Creative Commons Attribution 4.0 International (CC BY 4.0)

Nyckelord

INSPIRE theme: climatologyMeteorologyAtmosphere, Bayesian inference, non-meteorological echo classification, polarimetric weather radars

Ämnesord

Temporal täckning

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