Turbidity data in Lake Tahoe
By Nevada Water Science Center
2020 (approx.)
Detailed Description
LTIMP watershed with real-time turbidity data. Each 1 km grid denotes modeling cell where soil moisture, temperature and snow-water equivalent will be simulated and used as training data for ensemble machine learning methods such as random forest, empirical orthogonal function, principal component regression, and step-wise regression.
Sources/Usage
Public Domain.
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Quantifying watershed controls on fine sediment particles and nutrient loading to Lake Tahoe using data mining and machine learning
Since the late 1980’s, the USGS has collected discharge, sediment, and water quality data at seven major drainages under the Lake Tahoe Interagency Monitoring Program (LTIMP). Recently, continuous, real-time measurements of turbidity were added to the LTIMP. These data can be combined with in situ, model simulations, and remotely-sensed datasets available from the USGS, National Aeronautics and...
Related
Quantifying watershed controls on fine sediment particles and nutrient loading to Lake Tahoe using data mining and machine learning
Since the late 1980’s, the USGS has collected discharge, sediment, and water quality data at seven major drainages under the Lake Tahoe Interagency Monitoring Program (LTIMP). Recently, continuous, real-time measurements of turbidity were added to the LTIMP. These data can be combined with in situ, model simulations, and remotely-sensed datasets available from the USGS, National Aeronautics and...