DSM2 studies used for the DSM2 Planning Study Training in the DSM2 Learning Series

The Department of Water Resources Modeling Support Office, in collaboration with the United States Geological Survey (USGS), has developed an individual-based ecological particle tracking model (ECO-PTM). Based on a random walk theory, the model tracks individual particles’ travel time, routing and survival in a flow field simulated by the Delta Simulation Model 2 hydrodynamic module (DSM2 HYDRO). The random walk particles are parameterized to have fish-like swimming behaviors including upstream/downstream swimming, probabilistic holding behaviors, and stochastic swimming velocities. Particle routing at key junctions is based on well-established statistical models, and route-specific survival is calculated using the XT mean free-path length model. Behavioral parameters were estimated by fitting several competing models to a multiyear dataset of travel times from acoustic tagged juvenile salmon. The model’s baseline simulations under historical flow conditions from 1991 to 2016 successfully replicated essential relationships between salmon outmigration survival and hydrodynamic conditions, consistent with previous studies and the STARS (Survival Travel Time and Routing Simulation) statistical simulation model. The paper and the supplementary materials detailing the model are available here.

The Department of Water Resources Modeling Support Office, in collaboration with the United States Geological Survey (USGS), has developed an individual-based ecological particle tracking model (ECO-PTM). Based on a random walk theory, the model tracks individual particles’ travel time, routing and survival in a flow field simulated by the Delta Simulation Model 2 hydrodynamic module (DSM2 HYDRO). The random walk particles are parameterized to have fish-like swimming behaviors including upstream/downstream swimming, probabilistic holding behaviors, and stochastic swimming velocities. Particle routing at key junctions is based on well-established statistical models, and route-specific survival is calculated using the XT mean free-path length model. Behavioral parameters were estimated by fitting several competing models to a multiyear dataset of travel times from acoustic tagged juvenile salmon. The model’s baseline simulations under historical flow conditions from 1991 to 2016 successfully replicated essential relationships between salmon outmigration survival and hydrodynamic conditions, consistent with previous studies and the STARS (Survival Travel Time and Routing Simulation) statistical simulation model. The paper and the supplementary materials detailing the model are available here.

DWR has been working with USGS to develop ECO-PTM, an individual based juvenile salmonid migration and survival model. The Delta hydrodynamic input for the model is from a 15-minute-time-step hydrodynamic simulation, therefore the model is sensitive to tidal flows and SWP and CVP operations. The model can be used to quantitatively evaluate management actions that concern the survival of juvenile salmonid in the Sacramento River. Recently, the model has been used for the planning study of the Georgiana/Sutter-Steamboat Slough fish barriers.

Ecological Particle Tracking Model (ECO-PTM) is an individual-based juvenile salmonid migration and survival model.

Ecological Particle Tracking Model (ECO-PTM) is an individual-based juvenile salmonid migration and survival model.

Ecological Particle Tracking Model (ECO-PTM) is an individual-based juvenile salmonid migration and survival model.

Materials for past training workshops for IDC-2015. Each workshop material includes slides used during the workshop, complete and incomplete input data files for individual hands-on sessions, and guidelines describing how to work on each training session. The incomplete input data files are intended for completion by the trainees while complete input files can be used to check the correctness of data input.

output from baseline and alternative scenarios, 4 years: WY2011-WY2014

The research is important for the Great Barrier Reef (GBR) water quality management. The data was collected for the parameterisation of the influence of tuft-shaped Trichodesmium colonies on the vertical movement of Trichodesmium in the GBR. Linux operating system, C compiler and NETCDF library were used to build the modified EMS applications on AIMS HPC. The EMS version used is 1.2.1. The modified EMS was derived from the eReefs model (https://ereefs.org.au/ereefs) and the model descriptions are found in Baird et al. (2020). Methods for collecting the data include the following: Hydrodynamic model forcing available in https://research.csiro.au/ereefs/models/models-about/models-hydrodynamics/; Biogeochemical (BGC) model forcing (Simulated hydrodynamic model output, regional wave model data, 2019 catchment conditions of nutrient and sediment loads available in https://svnserv.csiro.au/svn/CEM/projects/eReefs/model/gbr4_bgc_hindcast/gbr4_H2p0_B3p2_Cb/); Initialisation file: GBR4 BGC 3p1 initialisation data. The 4km resolution grid of the EMS was run on AIMS HPC from 1/12/2010 to 30/11/2012 and the data was collected on 26/06/2023. Software-specific information needed to interpret the data are R Software version 3.5.1, GNU Compiler Collection (GCC) version 6.1.0, network Common Data Form (NetCDF-cxx) version 4.2.1, Open Message Passing Interface (OpenMPI-gcc) version 1.10.2 and NetCDF Operators (NCO) version 4.5.5. R scripts for post-processing simulated data are available in Chinenyeani1986/Trichodesmium-buoyancy (github.com)