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Review of GPM IMERG performance: A global perspective
Accurate, reliable, and high spatio-temporal resolution precipitation data are vital for many
applications, including the study of extreme events, hydrological modeling, water resource …
applications, including the study of extreme events, hydrological modeling, water resource …
[HTML][HTML] Satellite remote sensing of precipitation and the terrestrial water cycle in a changing climate
The water cycle is the most essential supporting physical mechanism ensuring the existence
of life on Earth. Its components encompass the atmosphere, land, and oceans. The cycle is …
of life on Earth. Its components encompass the atmosphere, land, and oceans. The cycle is …
Suitability of 17 rainfall and temperature gridded datasets for largescale hydrological modelling in West Africa
This study evaluates the ability of different gridded rainfall datasets to plausibly represent the
spatiotemporal patterns of multiple hydrological processes (ie streamflow, actual …
spatiotemporal patterns of multiple hydrological processes (ie streamflow, actual …
Model estimates of China's terrestrial water storage variation due to reservoir operation
Understanding the role of reservoirs in the terrestrial water cycle is critical to support the
sustainable management of water resources especially for China where reservoirs have …
sustainable management of water resources especially for China where reservoirs have …
Machine learning–based blending of satellite and reanalysis precipitation datasets: A multiregional tropical complex terrain evaluation
This study evaluates a machine learning–based precipitation ensemble technique (MLPET)
over three mountainous tropical regions. The technique, based on quantile regression …
over three mountainous tropical regions. The technique, based on quantile regression …
[HTML][HTML] Machine learning-based error modeling to improve GPM IMERG precipitation product over the brahmaputra river basin
The Integrated Multisatellite Retrievals for Global Precipitation Measurement (GPM)(IMERG)
Level 3 estimates rainfall from passive microwave sensors onboard satellites that are …
Level 3 estimates rainfall from passive microwave sensors onboard satellites that are …
Toward an improved ensemble of multi-source daily precipitation via joint machine learning classification and regression
Accurate estimation of precipitation at local to global scales can considerably enhance our
understanding of climate system dynamics. While numerous precipitation products are …
understanding of climate system dynamics. While numerous precipitation products are …
[HTML][HTML] Attribution analysis of seasonal runoff in the source region of the yellow river using seasonal Budyko hypothesis
G Ji, L Wu, L Wang, D Yan, Z Lai - Land, 2021 - mdpi.com
Previous studies mainly focused on quantifying the contribution rate of different factors on
annual runoff variation in the source region of the Yellow River (SRYR), while there are few …
annual runoff variation in the source region of the Yellow River (SRYR), while there are few …
[HTML][HTML] Artificial intelligence-based techniques for rainfall estimation integrating multisource precipitation datasets
This study presents a comprehensive investigation of multiple Artificial Intelligence (AI)
techniques—decision tree, random forest, gradient boosting, and neural network—to …
techniques—decision tree, random forest, gradient boosting, and neural network—to …
Groundwater modeling in data scarce aquifers: the case of Gilgel-Abay, Upper Blue Nile, Ethiopia
Groundwater (GW) is the main source of domestic water supply in Ethiopia (85%), however,
despite widespread acknowledgement of its potential for resource-based development and …
despite widespread acknowledgement of its potential for resource-based development and …