A platform for probabilistic Multimodel and Multiproduct Streamflow Forecasting

A platform for probabilistic Multimodel and Multiproduct Streamflow Forecasting

We develop and test a probabilistic real-time streamflow-forecasting platform, Multimodel and Multiproduct Streamflow Forecasting (MMSF), that uses information provided by a suite of hydrologic models and satellite precipitation products (SPPs). The SPPs are bias-corrected before being used as input...

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Bibliographic Details
Main Authors: Roy, Tirthankar, Serrat-Capdevila, Aleix, Gupta, Hoshin, Valdes, Juan
Other Authors: Univ Arizona, Dept Hydrol & Atmospher Sci
Language:en
Published: AMER GEOPHYSICAL UNION 2017
Subjects:
streamflow forecasting
satellite precipitation products
bias correction
model averaging
uncertainty analysis
real-time monitoring
MMSF
Online Access:http://hdl.handle.net/10150/623110
http://arizona.openrepository.com/arizona/handle/10150/623110

Internet

http://hdl.handle.net/10150/623110
http://arizona.openrepository.com/arizona/handle/10150/623110

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