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

Description

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.

Year of publication

2021

Type of data

Authors

Finnish Meteorological Institute - Publisher

Koistinen, Jarmo - Contributor, Creator

Mäkinen, Terhi - Contributor, Creator

Pulkkinen, Seppo - Contributor, Creator

Ritvanen, Jenna - Contributor, Creator

Weisshaupt, Nadja - Contributor, Creator

Project

Other information

Fields of science

Geosciences

Language

English

Open access

Open

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

Keywords

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

Subject headings

Temporal coverage

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