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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)....
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These data are preliminary or provisional and are subject to revision. They are being provided to meet the need for timely best science. The data have not received final approval by the U.S. Geological Survey (USGS) and are provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from the authorized or unauthorized use of the data. The Interagency Grizzly Bear Study Team (IGBST) evaluates mortalities for population segments within the DMA by deriving estimates of total mortality for independent-age (2 years or older) females and independent-age males, including estimates of unknown/unreported mortalities based on Cherry et al. (2002). We then determine...


    map background search result map search result map Provisional documented known and probable grizzly bear mortalities in the Greater Yellowstone Ecosystem, 2024 (Provisional Release, updated 2024-05-21) Delaware River Basin Stream Salinity Machine Learning Model Simulations for Past and Future Drought Delaware River Basin Stream Salinity Machine Learning Model Simulations for Past and Future Drought Provisional documented known and probable grizzly bear mortalities in the Greater Yellowstone Ecosystem, 2024 (Provisional Release, updated 2024-05-21)