Data Assimilation Informed Model Structure Improvement (DAISI) for Robust Prediction Under Climate Change: Application to 201 Catchments in Southeastern Australia

This paper presents a method to analyze and improve the set of equations constituting a rainfall‐runoff model structure based on a combination of a data assimilation algorithm and polynomial updates to the state equations. The method, which we have called “Data Assimilation Informed model Structure...

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Veröffentlicht in:	Water resources research 2024-06, Vol.60 (6), p.n/a
Hauptverfasser:	Lerat, Julien, Chiew, Francis, Robertson, David, Andréassian, Vazken, Zheng, Hongxing
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Catchment area Catchments Climate change climate change scenario Climate change scenarios Climate models Climate prediction Climate studies Configurations Data assimilation Data collection Domains Elasticity ensemble smoother Environmental Sciences Equations of state Evapotranspiration Evapotranspiration models Flow duration Flow duration curves Future water resources Hydrologic models Mathematical models model diagnostic model structure Modular structures Polynomials Precipitation Rainfall Rainfall-runoff relationships Runoff Runoff models Simulation Stream discharge Stream flow Water resources
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