Spatiotemporal Approaches for Quality Control and Error Correction of Atmospheric Data through Machine Learning

We propose three quality control (QC) techniques using machine learning that depend on the type of input data used for training. These include QC based on time series of a single weather element, QC based on time series in conjunction with other weather elements, and QC using spatiotemporal characte...

Descripción completa

Detalles Bibliográficos
Autores principales: Kim, Hye-Jin, Park, Sung Min, Choi, Byung Jin, Moon, Seung-Hyun, Kim, Yong-Hyuk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7086422/
https://www.ncbi.nlm.nih.gov/pubmed/32256552
http://dx.doi.org/10.1155/2020/7980434

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7086422/
https://www.ncbi.nlm.nih.gov/pubmed/32256552
http://dx.doi.org/10.1155/2020/7980434

Ejemplares similares