Hydrologist
Email:
sfoks@usgs.gov
Office Phone:
303-236-5022
ORCID:
0000-0002-7668-9735
Location
934 Broadway
Tacoma
, WA
98402
US
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This data release contains accumulated precipitation data from the CONUS404 climate forcing variable subset for hydrologic models, downscaled to 1 km and bias-adjusted for precipitation and temperature (CONUS404-BA; Zhang and others, 2024) from January 1980 through September 2021 that is summarized to a monthly time step and a twelve-digit hydrologic unit code for the spatial extent of the conterminous United States. These data can be found in the “huc12_monthly_conus404ba_WY1980_WY2021.nc” file. Additionally, one supplementary file is also included in this data release. The additional file (“weights_grid_to_huc12_conus404ba.csv”) contains the spatial weights, or fraction, that is used to “weight” the source data...
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This product consists of one tabular dataset and associated metadata of water quality information related to rivers, streams, and reservoirs in the Upper Mississippi River watershed between 2012 and 2016. This data release is a part of a national assessment of freshwater aquatic carbon fluxes. Data consist of organic and inorganic carbon related species, carbon dioxide and methane gas fluxes calculated from manual chamber measurements, nitrogen species, carbon isotopes, oxygen isotopes, cations, anions, trace metals, and various in situ measurements including: pH, water temperature, air temperature, barometric pressure, dissolved oxygen, turbidity, fluorescent dissolved organic matter, and specific conductance....
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Carbon,
Fluorescent Dissolved Organic Matter (fDOM),
Minnesota,
Shingobee,
Shingobee Headwaters Aquatic Ecosystems Project, All tags...
Shingobee River Headwaters Region,
Surface Water Quality,
USGS Science Data Catalog (SDC),
Upper Mississippi River Basin,
Upper Mississippi River Basin Project,
WATER QUALITY/WATER CHEMISTRY,
Wisconsin,
air temperature,
alkalinity,
aluminum,
ammonium,
atmospheric carbon dioxide,
atmospheric methane,
barium,
boron,
calcium,
carbon dioxide (water),
carbon dioxide (water),
carbon dioxide flux,
carbon isotopes,
chloride,
deuterium,
dissolved oxygen,
fluorescence index,
greenhouse gas flux,
hydrophilic organic acid,
hydrophobic organic acid,
hydrophobic organic neutral,
inorganic carbon,
magnesium,
manganese,
methane flux,
nitrate,
organic carbon,
oxygen isotopes,
pH (water),
potassium,
silicon dioxide,
sodium,
specific conductance,
strontium,
sulfate,
sulfur,
total dissolved nitrogen,
total iron,
transphilic organic acid,
turbidity,
ultraviolet-visible absorbance,
water quality,
water temperature, Fewer tags
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This U.S. Geological Survey (USGS) metadata release consists of 17 different spatial layers in GeoTIFF format. They are: 1) average water capacity (AWC.zip), 2) percent sand (Sand.zip), 3) percent silt (Silt.zip), 4) percent clay (Clay.zip), 5) soil texture (TEXT_PRMS.zip), 6) land use/land cover (LULC.zip), 7) snow values (Snow.zip), 8) summer rain values (SRain.zip), 9) winter rain values (WRain.zip), 10) leaf presence values (keep.zip), 11) leaf loss values (loss.zip), 12) percent tree canopy (CNPY.zip), 13) percent impervious surface (Imperv.zip), 14) snow depletion curve numbers (Snow.zip), 15) rooting depth (RootDepth.zip), 16) permeability values (Lithology_exp_Konly_Project.zip), and 17) water bodies. All...
Categories: Data;
Tags: Canada,
average water capacity,
boundaries,
conterminous United States of America,
geographic information systems (GIS), All tags...
geoscientificInformation,
hydrologic modeling,
hydrologic response Units (HRUs),
inLandWaters,
interception,
land cover,
leaf loss,
leaf presence,
percent clay,
percent sand,
percent silt, Fewer tags
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This metadata record documents a set of 118 comma delimited files and a data dictionary describing the inputs for the U.S. Geological Survey Precipitation Runoff Modeling System (PRMS) which is used to drive the National Hydrologic Model (NHM) for the United States-Canada transboundary domain. The National Hydrologic Model database contains parameters for hydrologic response units (HRUs) and stream segments needed to run the NHM. These parameters are generated using python scripts to process input datasets such as digital elevation models, soil maps, and land cover classifications. Many of the parameters were left at their default model value as they would need to be calibrated as part of the PRMS model development...
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This data release contains the standard statistical suite (version 1.0) daily streamflow performance benchmark results for the National Water Model Retrospective (v2.1) at streamflow benchmark locations defined by Foks and others (2022). Modeled hourly timesteps were converted to mean daily timesteps. Model error was determined by evaluating predicted daily mean streamflow versus observed daily mean streamflow using various statistics; the Nash-Sutcliffe efficiency (NSE), the Kling-Gupta efficiency (KGE), the logNSE, the Pearson correlation coefficient, the Spearman correlation coefficient, the ratio of the standard deviation, the percent bias, the percent bias in flow duration curve midsegment slope, the percent...
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