Using Machine Learning to Develop a Predictive Understanding of the Impacts of Extreme Water Cycle Perturbations on River Water Quality
2021
Citations Over Time
Charuleka Varadharajan, Vipin Kumar, Jared Willard, Jacob A. Zwart, Jeff Sadler, Helen Weierbach, Talita Perciano, Juliane Mueller, Valerie Hendrix, Danielle Christianson
Abstract
This whitepaper addresses to two focal areas – (3) Insight gleaned from complex data using Artificial Intelligence (AI), and other advanced techniques (primary), and (2) Predictive modeling through the use of AI techniques and AI-derived model components (secondary). This topic is directly relevant to four DOE Earth and Environmental Systems Science Division Grand Challenges: integrated water cycle, biogeochemistry, drivers and responses in the Earth system, and data-model integration.
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