A review on missing hydrological data processing

Y Gao, C Merz, G Lischeid, M Schneider - Environmental earth sciences, 2018 - Springer
Like almost all fields of science, hydrology has benefited to a large extent from the
tremendous improvements in scientific instruments that are able to collect long-time data …

RETRACTED ARTICLE: Imputation of missing precipitation data using KNN, SOM, RF, and FNN

A Sahoo, DK Ghose - Soft Computing, 2022 - search.proquest.com
Efficient methods are necessary for interpolation of precipitation data in geospatial systems.
In recent years, there has been an incremental need to complete rainfall data networks …

Grazing management impacts on ecosystem services under contrasting climatic conditions in Texas and North Dakota

JJ Kim, S Ale, UP Kreuter, WR Teague - Journal of Environmental …, 2023 - Elsevier
Grazing management is an important factor affecting the delivery of ecosystem services at
the watershed scale. Moreover, characterizing the impacts of climate variation on water …

Assessing machine learning models for gap filling daily rainfall series in a semiarid region of Spain

JA Bellido-Jiménez, JE Gualda, AP García-Marín - Atmosphere, 2021 - mdpi.com
The presence of missing data in hydrometeorological datasets is a common problem,
usually due to sensor malfunction, deficiencies in records storage and transmission, or other …

Application of machine learning and remote sensing for gap-filling daily precipitation data of a sparsely gauged basin in East Africa

M Faramarzzadeh, MR Ehsani, M Akbari… - Environmental …, 2023 - Springer
Access to spatiotemporal distribution of precipitation is needed in many hydrological
applications. However, gauges often have spatiotemporal gaps. To mitigate this, we …

Characterizing the uncertainty and assessing the value of gap-filled daily rainfall data in Hawaii

RJ Longman, AJ Newman… - Journal of Applied …, 2020 - journals.ametsoc.org
Almost all daily rainfall time series contain gaps in the instrumental record. Various methods
can be used to fill in missing data using observations at neighboring sites (predictor …

A gap filling method for daily evapotranspiration of global flux data sets based on deep learning

L Qian, L Wu, Z Zhang, J Fan, X Yu, X Liu, Q Yang… - Journal of …, 2024 - Elsevier
In response to irregular data gaps in evapotranspiration (ET) data obtained using eddy
covariance (EC) methods, this study seeks to explore a high-precision interpolation method …

Evaluating the impacts of alternative grazing management practices on soil carbon sequestration and soil health indicators

JJ Kim, S Ale, UP Kreuter, WR Teague… - Agriculture, Ecosystems …, 2023 - Elsevier
Globally, grazing lands represent a major carbon (C) sink. However, improper use of these
ecosystems can degrade their soils and their C storage capacity. Specifically, prolonged …

Estimating extremely large amounts of missing precipitation data

H Aguilera, C Guardiola-Albert… - Journal of …, 2020 - iwaponline.com
Accurate estimation of missing daily precipitation data remains a difficult task. A wide variety
of methods exists for infilling missing values, but the percentage of gaps is one of the main …

Impact of precipitation data density and duration on simulated flow dynamics and implications for ecohydrological modelling of semi-arid catchments of Southern …

A Watson, S Kralisch, A Künne, M Fink, J Miller - Journal of Hydrology, 2020 - Elsevier
Understanding flow regime dynamics is important for the management and conservation of
river systems and their related ecosystems under current and future pressures like climate …