Machine-Learning-Based Imputation Method for Filling Missing Values in Ground Meteorological Observation Data

Machine-Learning-Based Imputation Method for Filling Missing Values in Ground Meteorological Observation Data

Ground meteorological observation data (GMOD) are the core of research on earth-related disciplines and an important reference for societal production and life. Unfortunately, due to operational issues or equipment failures, missing values may occur in GMOD. Hence, the imputation of missing data is...

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Bibliographic Details
Main Authors: Cong Li, Xupeng Ren, Guohui Zhao
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Algorithms
Subjects:
meteorological data
missing value imputation
machine learning
reconstruction
Online Access:https://www.mdpi.com/1999-4893/16/9/422

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