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Building Machine Learning Challenges for Anomaly Detection in Science

Scientific discoveries are often made by finding a pattern or object that was not predicted by the known rules of science. Oftentimes, these anomalous events or objects that do not …

elizabeth-g-campolongo
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Atmospheric River; Atmospheric River Reconnaissance; Data Assimilation; Dropsondes; Numerical Modeling; Observational Impact

Improved Forecast Skill Through the Assimilation of Dropsonde Observations From the Atmospheric River Reconnaissance Program

Landfalling atmospheric rivers (ARs) over the western US are responsible for similar to 30%-50 % of the annual precipitation, and their accurate forecasts are essential for …

minghua-zheng
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Data Assimilation; Reanalysis; Coupled Data Assimilation; S2S Prediction; Decadal Prediction; Ocean Observation Network; Ocean Data Assimilation; Ocean Reanalysis

Observational Needs for Improving Ocean and Coupled Reanalysis, S2S Prediction, and Decadal Prediction

Developments in observing system technologies and ocean data assimilation (DA) are symbiotic. New observation types lead to new DA methods and new DA methods, such as coupled …

stephen-g.-penny
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