DOI · DOI-0105 · record R2654

Experimental Forecast for River Chlorophyll

Department of the Interior · USGS

Overview

Development stage: PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: 2025-02-12 (day precision)Source: 2/12/2025
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Science
Operational functions: Forecasting and prediction Derived by keyword rules; see methodology

Problem the AI is intended to solve

Forecast total chlorophyll concentrations in streams across various locations, part of the Ecological Forecasting Initiative (EFI) which is a collaboration between USGS and this research organization.

Expected benefits

Part of an experimental process to visualize stream forecasts for chlorophyll, improve model refinements, improve model accuracy, test understanding of drivers of harmful algal blooms.

System outputs

Predictions - near-term forecasts (up to 30 days in advance) of total stream chlorophyll with separate graphs for model drivers and their trends/forecasts.

Technology

AI classification: Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
System name(s): Not reported
Custom-developed code: No
Public source code: zenodo.org ↗

Sourcing

How it was built: Developed in-houseSource: b) Developed in-house
Vendor (as reported): Not reported
Vendors (standardized): None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII: No
Privacy Impact Assessment: Not reported
Authorization to Operate: No
Demographic features: k) None of the above
Training and evaluation data: Streamgage observational data and NOAA Global Ensemble Forecast System (GEFS). all publicly available data
Federal Data Catalog: Not reported