Emulation of a process-based estuarine hydrodynamic model

Author:

Chen Limin1,Roy Sujoy B.1ORCID,Hutton Paul H.1

Affiliation:

1. Research and Development, Tetra Tech, Lafayette, California, USA

Funder

State Water Project Contractors Authority

Publisher

Informa UK Limited

Subject

Water Science and Technology

Reference56 articles.

1. Neuroemulation: definition and key benefits for water resources research

2. Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting

3. A 2-D process-based model for suspended sediment dynamics: a first step towards ecological modeling

4. Anderson, J., 2002. DSM2 fingerprinting methodology, chapter 14 in methodology for flow and salinity estimates in the Sacramento – San Joaquin Delta and Suisun Marsh. 23rd Annual Progress Report to the State Water Resources Control Board. Available from: http://baydeltaoffice.water.ca.gov/modeling/deltamodeling/delta/reports/annrpt/2002/2002Ch14.pdf [Accessed 8 Aug 2017].

5. Anderson, J. and Wilde, J., 2005. Fingerprinting: clarifications and recent applications, chapter 6 in methodology for flow and salinity estimates in the Sacramento-San Joaquin Delta and Suisun Marsh. 26th Annual Progress Report to the State Water Resources Control Board. Available from: http://baydeltaoffice.water.ca.gov/modeling/deltamodeling/delta/reports/annrpt/2005/2005.pdf [Accessed 8 Aug 2017].

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