Improving Flood Forecasting Using Conditional Bias-aware Assimilation of Streamflow Observations and Dynamic Assessment of Flow-dependent Information Content
Language: en
Pages: 154
Authors: Haojing Shen
Categories: Flood forecasting
Type: BOOK - Published: 2021 - Publisher:

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Accurate forecasting of floods is a long-standing challenge in hydrology and water management. Data assimilation (DA) is a popular technique used to improve for
Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrologic and Hydraulic Models
Language: en
Pages: 240
Authors: Maurizio Mazzoleni
Categories: Science
Type: BOOK - Published: 2017-03-16 - Publisher: CRC Press

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In recent years, the continued technological advances have led to the spread of low-cost sensors and devices supporting crowdsourcing as a way to obtain observa
Flood Forecasting Using Machine Learning Methods
Language: en
Pages: 376
Authors: Fi-John Chang
Categories: Technology & Engineering
Type: BOOK - Published: 2019-02-28 - Publisher: MDPI

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Nowadays, the degree and scale of flood hazards has been massively increasing as a result of the changing climate, and large-scale floods jeopardize lives and p
Hydrologic Data Assimilation for Operational Streamflow Forecasting
Language: en
Pages: 226
Authors: Feyera Aga Hirpa
Categories:
Type: BOOK - Published: 2013 - Publisher:

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Ensemble Data Assimilation for Flood Forecasting in Operational Settings
Language: en
Pages: 161
Authors:
Categories: Computer simulation
Type: BOOK - Published: 2018 - Publisher:

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The National Water Center (NWC) started using the National Water Model (NWM) in 2016. The NWM delivers state-of-the-science hydrologic forecasts in the nation.