Evaluation of PERSIANN family remote sensing precipitation products for snowmelt runoff estimation in a mountainous basin

Estimating snowmelt runoff in mountainous basins is a challenging task due to limited precipitation measurements. Satellite-based Precipitation Products (SBPs) are readily available, but still suffer from large errors in cold climate regions. This study aims to evaluate and propose post-bias correct...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Hydrological sciences journal 2021-09, Vol.66 (12), p.1790-1807
Hauptverfasser:	Uysal, Gökçen, Şorman, Ali Ünal
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Bias Climatic data Cold climates Corrections Evaluation Hydrologic data hydrological modelling mountainous basin Mountains Multilayer perceptrons Neural networks Precipitation Precipitation data Precipitation estimation Precipitation measurements Remote sensing River basins Runoff Runoff estimation satellite-based precipitation Satellites Scaling snow Snow accumulation Snowmelt Snowmelt runoff
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!