USGS Workshop Video Training

Workshops led by Wisconsin Sea Grant and the USGS Wisconsin Water Science Center titled Developing Predictive Models for your Beach: Hands-on Training, were recorded and are available below. The full training for building a complete model in Virtual Beach takes 10-12 hours.

Introduction to Predictive Modeling  (0:55:01)
Basic concepts and methods of modeling beach water quality.

Model Uncertainty and Stability  (0:22:19)
Overview of the major sources of model uncertainty.

Data Processing-Part 1 (0:51:19)
A. Determine the orientation of your beach
B. Import and clean up model-building data for your beach

Data Processing-Part 2 (0:34:04)
C. Process directional data (wind, currents, waves)
D. Combine two or more predictive variables
E. Transform variables and explore potential relationships 
F. Save a Virtual Beach project file

Building & Evaluating ‘Anytime' Nowcast Models  (1:09:09) 
A. Open a previously saved VB project file 
B. Build and evaluate an anytime GBM model 
C. Optimize a GBM model by removing variables 
D. View a GBM model within the VB Prediction tab 
E. Save a GBM model into a new VB project file

Building & Evaluating Sampling-Day Nowcast Models-Part 1  (1:09:32)
A. Build and optimize an MLR model 

Building & Evaluating Sampling-Day Nowcast Models-Part 2  (1:04:25)
B. Evaluate top-rated MLR models
C. Set MLR decision criteria
D. Evaluate MLR residuals and search for influential outliers

Nowcast Prediction & Validation-Part 1  (0:32:54)
A. Create a real-time Web data services (EnDDaT) connection 
B. Download real-time data to make a nowcast prediction

Nowcast Prediction & Validation-Part 2  (0:30:50)
C. Import a historical data table to validate your models
D. Save a VB model file with prediction results






This project is funded by the Wisconsin Coastal Management Program and the National Oceanic and Atmospheric Administration,
Office of Ocean and Coastal Resource Management under the Coastal Zone Management Act, Grant# NA13NOS4190043.



Login