Harmful Algal Bloom Predictions: An Introduction
CIROH has supported the cyanobacterial harmful algal bloom (cyanoHABs) forecasting research team at the University of Vermont (PI Asim Zia). Dr. Zia’s team has over 10 years of experience in the prediction of cyanoHABs using ground-based observational data products and meteorological and hydrological forecast products such as the National Water Model. This team has begun to integrate satellite data products into their cyanoHABs forecasting workflows. In addition, Dr. Zia and UVM’s Dr. Patrick Clemins led the Northeast Evaluation Testbed for Water Resource Applications (NETWA; https://uvm.edu/water/netwa), a CIROH-funded project. NETWA has created
(1) data acquisition tools to help researchers access forecast and observational data products relevant to water resources prediction,
(2) computational workflows for forecasting that can utilize high-performance computing to simulate large numbers of scenarios in parallel,
(3) experimental protocol templates, and
(4) a community of practice for the use of advanced research computing and data techniques to further water resource prediction research.