References

Maine PSP Forecast Project

Record NR, Evanilla J, Kanwit K, Burnell C, Cartisano C, Lewis B, MacLeod J, Tupper B, Miller DW, Tracy A, White C, Moretti M, Hamilton B, Barner C, Archer SD (2022) “Benefits and challenges of a stakeholder-driven shellfish toxicity forecast in coastal Maine” Frontiers in Marine Science 9:923738.

Record NR, Evanilla, J (2022) “Toxic algae closures: What kinds of predictions are needed?” National Shellfisheries Association Quarterly Newsletter 2022:2.

Grasso I, Archer SD, Burnell C, Tupper B, Rauschenburg C, Kanwit K, Record NR (2019) “The hunt for red tides: Deep learning algorithm forecasts shellfish toxicity at site scales in coastal Maine” Ecosphere 10(12):e02960.

Forecast Webpage

Funding

Joint FAO-IOC-IAEA technical guidance for the implementation of early warning systems for harmful algal blooms

“pspverse” packages distributed via github (mostly private but will become public)

pspdata Manages ingesting new observations and handling database

psptools Prepares forecast model input and makes predictions

pspforecast Serves real-time and past forecast predictions

Keras - Tensorflow

Keras

Tensorflow for R

Deep Learning with R highly recommended text

Similar Efforts

Other Machine-learning based Shellfish Toxicity/Harmful Algae Forecasting (Not a comprehensive list, just a sampling)

A Review of ML HAB Forecasting Efforts

Portugese DSP Forecasting + project page

Adriatic Sea HABs

Bayesian Network for Irish Shellfish Toxins

LSTM Neural Network for Korean PSTs

Random Forest SE Alaska PSTs