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

DOI

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.

Identifier
DOI https://doi.org/10.23728/fmi-b2share.84832a794ea5442896acd5567944fb3b
Source https://fmi.b2share.csc.fi/records/84832a794ea5442896acd5567944fb3b
Metadata Access https://fmi.b2share.csc.fi/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:b2share.eudat.eu:b2rec/84832a794ea5442896acd5567944fb3b
Provenance
Creator Mäkinen, Terhi; Ritvanen, Jenna; Pulkkinen, Seppo; Weisshaupt, Nadja; Koistinen, Jarmo
Publisher Finnish Meteorological Institute
Contributor Koistinen, Jarmo; Weisshaupt, Nadja; Pulkkinen, Seppo; Ritvanen, Jenna; Mäkinen, Terhi
Publication Year 2021
Rights Creative Commons Attribution (CC-BY); info:eu-repo/semantics/openAccess
OpenAccess true
Contact terhi.makinen(at)fmi.fi
Representation
Language English
Resource Type Dataset
Format xml; dat
Size 971.4 kB; 2 files
Version 1.0
Discipline Environmental science