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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 drainage basin boundaries for 253 U.S. Geological Survey (USGS) streamgages in Alaska that had at least 5 years of daily streamflow through September 30, 2017, three of which were delineated for alternate basin conditions. This compilation includes selected boundaries produced in 2014 (https://doi.org/10.5066/P143KNEJ). Additional basin boundaries were delineated from the streamgage location to the nearest USGS Watershed Boundary Dataset (WBD) HUC boundary and along HUC boundaries from that intersection to the basin headwaters. Streamgages selected for drainage basin delineation included streamgages in Alaska that met selection criteria for a statewide study of seasonal flow regimes (Curran...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alaska,
Discharge/flow,
Hydrographic datasets,
Hydrology,
Hydrology,
This data package documents selected special conditions affecting the magnitude of peak flows at streamgages in Alaska. The data consist of a table of special conditions for selected peak flows and a table of data sources. This dataset resolves ambiguity introduced by historical variations in USGS National Water Information System (NWIS; https://doi.org/10.5066/F7P55KJN) peak-flow code assignment practices or inherent in defining multiple possible conditions for a single code. For peak flows assigned a code 3 or 9 in the NWIS peak-flow database, the special conditions forming the basis for code assignment were (1) snowmelt or (2) a sudden release of water. Sudden releases of water included glacier dammed lake outburst,...
The Cook County Bureau of Technology (BOT) identified a need for bathymetric and water-quality surveys of the surface water bodies within Cook County to inform management of surface-water and stormwater resources, aid emergency responders during search and rescue operations, inform construction permitting, and improve understanding of aquatic habitat. The U.S. Geological Survey (USGS) and the BOT worked closely together to designate specific water bodies to be surveyed. The size, accessibility, availability of existing data, and use of the water body were considered during selection. The objectives of this joint study between the USGS and the BOT are to collect, process, and analyze bathymetric and ancillary water-quality...
This data package includes 17,014 pairs of raster geotiffs. Each pair is made up of two geotiff rasters derived from historical observations from Landsat satellites (04-09) over the Yukon, Kuskokwim, and Tanana rivers in Alaska. One raster reports estimated mid-day water surface temperature (ST) in degrees Celsius (deg_Cc). The second raster reports the surface temperature quality assessment (sST_QA_c) and provides the ST product uncertainty (also in degrees). The period of observation is May through October for the years 1984-2022.
These data include water chemistry from springs, streams, rivers, and shallow groundwater collected in the Arctic National Wildlife Refuge in northern Alaska. Chemical analyses were performed for hydrochemical parameters including field parameters, major ions, nutrients, metals, stable isotopes of water, and tritium, as well as for dissolved gases useful for determining the timescale over which the water was in the subsurface (i.e. age dating tracers), including noble gases and chlorofluorocarbons.
Categories: Data;
Tags: Aichilik River,
Alaska,
Arctic National Wildlife Refuge,
Canning River,
Dissolved gas,
These data comprise 505 unique geospatial raster datasets which describe persistent river ice (aufeis) occurrence within floodplains of select rivers and creeks in the 1002 Area of the Arctic National Wildlife Refuge in northern Alaska. Each raster is derived from a historical observation made by one of five Landsat satellites. Surface reflectance in the green and shortwave infrared wavelengths are used to classify the aufeis occurrence within individual pixels. Pixel values of "1" correspond to aufeis presence while "0" corresponds to its absence. Rasters are generated from cloud and snow-filtered images captured between May and September for the years 1985-2022.
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