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 …
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RETRACTED ARTICLE: Imputation of missing precipitation data using KNN, SOM, RF, and FNN
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 …
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
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 …
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
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 …
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
Access to spatiotemporal distribution of precipitation is needed in many hydrological
applications. However, gauges often have spatiotemporal gaps. To mitigate this, we …
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 …
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
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 …
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
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 …
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 …
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 …
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 …
river systems and their related ecosystems under current and future pressures like climate …