A Generalized Regression Neural Network Model for Accuracy Improvement of Global Precipitation Products: A Climate Zone-Based Local Optimization

The ability to obtain accurate precipitation data from various geographic locations is crucial for many applications. Various global products have been released in recent decades for estimating precipitation spatially and temporally. Nevertheless, it is extremely important to provide reliable and ac...

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Veröffentlicht in:	Sustainability 2023-05, Vol.15 (11), p.8740
Hauptverfasser:	Mohammadpouri, Saeid, Sadeghnejad, Mostafa, Rezaei, Hamid, Ghanbari, Ronak, Tayebi, Safiyeh, Mohammadzadeh, Neda, Mijani, Naeim, Raeisi, Ahmad, Fathololoumi, Solmaz, Biswas, Asim
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Climate change Climatic conditions Collaboration Datasets Decision making Elevation Geographical locations Global optimization Ground stations Hydrologic data Laboratories Land surface temperature Local optimization Meteorological satellites Model accuracy Moisture content Neural networks Precipitation Precipitation (Meteorology) Product information Product introduction Rain Soil moisture Soil temperature Soil water Surface properties Sustainability
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