Jordan S Read, PhD (Former Employee)
Science and Products
Biogeomorphic classification and images of shorebird nesting sites on the U.S. Atlantic coast
Projected shifts in fish species dominance in Wisconsin lakes under climate change
Final report: Understanding historical and predicting future lake temperatures in North and South Dakota
Physics-guided machine learning from simulation data: An application in modeling lake and river systems
LakeEnsemblR: An R package that facilitates ensemble modelling of lakes
Physics-guided recurrent graph model for predicting flow and temperature in river networks
Physics-guided machine learning for scientific discovery: An application in simulating lake temperature profiles
Predicting water temperature dynamics of unmonitored lakes with meta-transfer learning
Graph-based reinforcement learning for active learning in real time: An application in modeling river networks
Heterogeneous stream-reservoir graph networks with data assimilation
Ecological forecasting—21st century science for 21st century management
Natural resource managers are coping with rapid changes in both environmental conditions and ecosystems. Enabled by recent advances in data collection and assimilation, short-term ecological forecasting may be a powerful tool to help resource managers anticipate impending near-term changes in ecosystem conditions or dynamics. Managers may use the information in forecasts to minimize the adverse ef
Process-guided deep learning predictions of lake water temperature
Cross-scale interactions dictate regional lake carbon flux and productivity response to future climate
Metabolic rhythms in flowing waters: An approach for classifying river productivity regimes
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
Biogeomorphic classification and images of shorebird nesting sites on the U.S. Atlantic coast
Projected shifts in fish species dominance in Wisconsin lakes under climate change
Final report: Understanding historical and predicting future lake temperatures in North and South Dakota
Physics-guided machine learning from simulation data: An application in modeling lake and river systems
LakeEnsemblR: An R package that facilitates ensemble modelling of lakes
Physics-guided recurrent graph model for predicting flow and temperature in river networks
Physics-guided machine learning for scientific discovery: An application in simulating lake temperature profiles
Predicting water temperature dynamics of unmonitored lakes with meta-transfer learning
Graph-based reinforcement learning for active learning in real time: An application in modeling river networks
Heterogeneous stream-reservoir graph networks with data assimilation
Ecological forecasting—21st century science for 21st century management
Natural resource managers are coping with rapid changes in both environmental conditions and ecosystems. Enabled by recent advances in data collection and assimilation, short-term ecological forecasting may be a powerful tool to help resource managers anticipate impending near-term changes in ecosystem conditions or dynamics. Managers may use the information in forecasts to minimize the adverse ef
Process-guided deep learning predictions of lake water temperature
Cross-scale interactions dictate regional lake carbon flux and productivity response to future climate
Metabolic rhythms in flowing waters: An approach for classifying river productivity regimes
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.