A novel objective function DYNO for automatic  multivariable calibration of 3D lake models

Xia, Wei; Akhtar, Taimoor; Shoemaker, Christine A.

doi:https://doi.org/10.5194/hess-26-3651-2022

Articles | Volume 26, issue 13

https://doi.org/10.5194/hess-26-3651-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-26-3651-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 26, issue 13

Research article

|

14 Jul 2022

Research article |

| 14 Jul 2022

A novel objective function DYNO for automatic multivariable calibration of 3D lake models

Wei Xia, Taimoor Akhtar, and Christine A. Shoemaker

Supplement

https://doi.org/10.5194/hess-26-3651-2022-supplement

Model code and software

Delft3D-FLOW user manual Delft https://content.oss.deltares.nl/delft3d/manuals/Delft3D-FLOW_User_Manual.pdf

PODS Wei Xia https://doi.org/10.5281/zenodo.6120211

DYNO-pods, Dynamically Normalized Objective Function Wei Xia https://doi.org/10.5281/zenodo.6117769

Short summary

The common practice of calibrating lake hydrodynamic models only to temperature data is shown to be unable to reproduce the flow dynamics well. We proposed a new dynamically normalized objective function (DYNO) for multivariable calibration to be used with parallel or serial optimization methods. DYNO is successfully applied to simultaneously calibrate the temperature and velocity of a 3-dimensional tropical lake model.