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This model archive contains the input data, model code, and model outputs for machine learning models that predict daily non-tidal stream salinity (specific conductance) for a network of 459 modeled stream segements across the Delaware River Basin (DRB). Results are provided for two time periods: the historical drought-of-record from 1965-10-02 to 1969-12-30, and that same drought evaluated in climatic conditions that are consistent with a LENS2 enseble climate projection from 2057-10-02 to 2061-12-30. Results are provided for a total of three Random Forest models, corresponding to three input attribute sets (dynamic attributes, dynamic and static attributes, and dynamic attributes and a minimum set of static attributes)....
Categories: Data,
Data Release - In Progress;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Delaware (DE),
Delaware River Basin,
Environment,
Machine Learning,
Maryland (MD),
This dataset contains scenario based model projections (2001-2100) of land use related water demand for the California Central Coast in support of the published manuscript "Land-Use Change and Future Water Demand in California’s Central Coast" in the journal Land (https://www.mdpi.com/2073-445X/9/9/322). We used a modified version of the USGS's LUCAS model to examine two future scenarios of future land use and associated water use demand, from 2001 to 2100 across 10 Monte Carlo simulations. We examined a range of potential water demand futures sampled from a 24-year record of historical (1992-2016) data to develop two future land change scenarios including a business-as-usual (BAU) scenario which sampled from the...
Categories: Data,
Data Release - In Progress;
Tags: California Central Coast,
Land change,
Monterey County,
San Benito County,
San Luis Obispo County,
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