CRiSP1 Passage Columbia River Salmon Passage Model predicts downstream migration and survival of individual stocks of wild and hatchery spawned juvenile fish from the tributaries and dams of the Columbia and Snake rivers to the estuary. The model describes in detail fish movement, survival, and the effects of various river operations on these factors. It is also stochastic, incorporating measures of variability and uncertainty into survival predictions.

Use of CRiSP1 ceased in 2006. As of 2007, we replaced all applications of the juvenile passage model with the COMPASS Comprehensive Passage model.

Please direct CRiSP1 Passage source code inquiries to Jim Anderson at jjand at u.washington.edu.

Documentation

CRiSP.1.6 Theory and Calibration manual (pdf)

Distribution and Data

Download CRiSP Passage v1.6.0, released Friday, 14-Jan-2000 09:18:24 PST, available for Win32 and Solaris 2.x

README for CRiSP.1.6

PATH Spring and Fall Chinook Data Files for CRiSP.1.6 and CRiSP.1.5.5, released 14 April 2000

Applications of CRiSP1 Passage through 2006:

Use of CRiSP1 ceased in 2006. As of 2007, we replaced all usage of the juvenile passage model with the COMPASS Comprehensive Passage model.

• Inseason Migratory Forecasts - Predicts the arrival distributions of stocks of outmigrating juvenile salmon at several monitoring sites along the Snake and Columbia Rivers. The tool uses "real time" information about the current status of the runs along with current hydrographic information to predict the future progress of the migrating fish. This is a joint effort of the RealTime and CRiSP1 models.
• Total Dissolved Gas (TDG) Forecasts - For CRiSP.1.6 (Unix only) new equations have been implemented for gas production from spill. As a part of the US Army Corps' Gas Abatement Study, Waterways Experiment Station (WES) has developed these new equations as an improvement over GASPILL, which had been the predominantly used model for gas production. The results from the CRiSP implementation are available for 1996 and 1997.
• Temperature Forecasts - A temperature algorithm was developed for the Inseason Forecasts to predict the current year's water temperature based on historical data, year-to-date data, and a flow forecast. In season flow forecasts are courtesy of Bonneville Power Administration.