Our Process
STEP ONE
DATA COLLECTION
We have a strong sensor development, monitoring, and field data collection focus. High-quality data are a key step in reliable forecasting.
STEP TWO
MODELING
We are experts in developing and using environmental models for a range of ecological systems and temporal/spatial scales. We use massive supercomputers and have developed novel cyberinfrastructure for merging data and models to update forecasts
STEP THREE
STATISTICS
We use advanced statistical models to quantify and identify the uncertainty associated with our predictions. Our goal is to develop transparent, robust predictions that clearly communicate what we know, and what we don’t.
STEP FOUR
FORECASTING
The environmental variables we forecast provide critical services for society: e.g., forecasts of lake water quality are needed by managers to help provision drinking water; forecasts of tree carbon stocks are needed by forest managers and carbon markets; and more.
STEP FIVE
TRANSLATION
We create easy-to-understand data visualizations that can transform natural resource management. We work closely with managers to co-develop visualization tools so that our forecasts are directly used.
STEP SIX
TRAINING
We develop cutting-edge educational tools to teach students and the broader public how to interpret, analyze, and generate environmental forecasts.
Bringing it altogether
Our collaborative team unites interdisciplinary expertise to innovate the science and application of forecasting while training our community and beyond.
