Work

Insights on the impact of systematic model errors on data assimilation performance in changing catchments

Year: 2017

Type: article

Source: Advances in Water Resources

DOI: 10.1016/j.advwatres.2017.12.006

Authors: S. Pathiraja, D. Anghileri, P. Burlando, A. Sharma, L. Marshall, H. Moradkhani

Institutions: University of Potsdam, UNSW Sydney, ETH Zurich, Institute of Environmental Engineering, Portland State University

Language: English

Topic: Hydrology and Watershed Management Studies

Subfield: Water Science and Technology

Field: Environmental Science

Domain: Physical Sciences

SDGs: Clean water and sanitation, Climate action

Open Access status: closed

Funders: Deutsche Forschungsgemeinschaft, Ministry for Foreign Affairs, Australian Research Council

Awards: G2601165318, G4205700913, Reducing flood loss - A data-assimilation framework for improving forecasting capability in sparsely gauged regions

OpenAlex ID: W2779308014

FWCI: 0.578

Cites: 89

Cited by: 21

Related to: 10