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These tabular data sets represent daily climate metrics processed from 4 kilometer GridMET data (Abatzoglou, 2013) for the period of record 1980 through 2020 and compiled for three spatial components: select United States Geological Survey stream gage basins (Staub and Wieczorek, 2023), 2) individual reach flowline catchments of the Upper and Lower Colorado (ucol) portions of the Geospatial Fabric for the National Hydrologic Model, version 1.1 (nhgfv11, Bock and others, 2020 ), and 3) the upstream watersheds of each individual nhgfv11 flowline catchments. Flowline reach catchment information characterizes data at the local scale using the python tool set called gdptools (McDonald, 2021). Reach catchments accumulated...
Categories: Data;
Tags: CONUS,
Conterminous United States,
Coterminous United States,
Geospatial Fabric,
GridMET,
The Ohio-Kentucky-Indiana Water Science Center looks forward to helping you achieve your goals by providing water quantity and quality information, as well as scientific tools and understanding, when and where they are needed by citizens, businesses, and public officials.
These tabular data sets represent the average daily soil moisture water content (kg/m^2) for four different soil layers processed from North American Land Data Assimilation System (NLDAS-2) data (Xia and others, 2012) for the period of record 1980 through 2020 and compiled for three spatial components: 1) select United States Geological Survey stream gage basins (Staub and Wieczorek, 2023), 2) individual reach flowline catchments of the Upper Colorado (ucol) portion of the Geospatial Fabric for the National Hydrologic Model, version 1.1 (nhgfv11, Bock and others, 2020 ), and 3) the upstream watersheds of each individual nhgfv11 flowline catchments. Flowline reach catchment information characterizes data at the local...
Categories: Data;
Tags: CONUS,
Conterminous United States,
Coterminous United States,
Geospatial Fabric,
Hydrologic Modeling,
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),
This site is for data and information compilation and sharing related to the work of the DRB Integrated Modeling effort of the Predictive Understanding of Multiscale Processes (PUMP) project. PUMP is advancing multi-scale, integrated modeling capabilities to address priority water resource issues within the Integrated Water Prediction (IWP) program, Integrated Water Science (IWS) Basin studies, Integrated Water Availability Assessments (IWAAs), and other relevant Water Mission Area (WMA) project efforts. Development and testing of modeling approaches occurs at multiple scales spanning national and sub-national domains. Models will leverage physical process-driven approaches, data-driven approaches (statistical...
"The data you have secured from the U.S. Geological Survey (USGS) database identified as National Hydrologic Geospatial Fabric Reference and Derived Hydrofabrics have not received USGS approval and as such are provisional and subject to revision. The data are released on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from its authorized or unauthorized use." "Although these data have been processed successfully on a computer system at the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such...
This U.S. Geological Survey (USGS) data release consists of two hydrographic datasets with spatial modeling units, two sets of spatial data consistent with the National Hydrologic Model (NHM) Geospatial Fabric for National Hydrologic Modeling (abbreviated within this document as GFv1, Viger and Bock, 2014), and a database of 118 parameters used to run the NHM . These datasets are found as subpages to this landing page as 1) the GIS (geographic information system) features of the United States-Canada Transboundary Geospatial Fabric (TGF, added 08/04/2020), 2) the GIS features of the Geospatial Fabric v1.1 (GFv1.1 or v1_1, added 08/04/2020) which is an update to the GF and includes the TGF, 3) Topographic derivative...
Categories: Data,
Data Release - Revised;
Tags: Canada,
Geographic Information Systems,
Hydrologic Response Units,
Hydrologic modeling,
Points of Interest,
The Geospatial Fabric version 1.1 (GFv1.1 or v1_1) is a dataset of spatial modeling units covering the conterminous United States (CONUS) and most major river basins that flow in from Canada. The GFv1.1 is an update to the original Geospatial Fabric (GFv1, Viger and Bock, 2014) for the National Hydrologic Modeling (NHM). Analogous to the GFv1, the GFv1.1 described here includes the following vector feature classes: points of interest (POIs_v1_1), a stream network (nsegment_v1_1), and hydrologic response units (nhru_v1_1), with several additional ancillary tables. These data are contained within the Environmental Systems Research Institute (ESRI) geodatabase format (GFv1.1.gdb).
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Canada,
Geographic Information Systems,
Hydrologic Response Units,
Hydrologic modeling,
Points of Interest,
The Transboundary Geospatial Fabric (TGF) is a dataset of spatial modeling units consistent with the Geospatial Fabric for National Hydrologic Modeling (abbreviated within this document as GFv1, Viger and Bock, 2014). These features were derived from National Hydrography Dataset Plus High Resolution data (NHDPlus HR, U.S. Geological Survey [USGS], 2018) in the following conterminous United States (CONUS) - Canada transboundary four-digit Hydrologic Units (HUC4): 0101, 0105, 0108, 0901, 0902, 0903, 0904, 1005, 1006, 1701, 1702, and 1711. The data described here include the following vector feature classes: points of interest (POIs), a stream network (nsegment), major waterbodies (waterbodies), and hydrologic response...
Information about streamflow and streamflow variability is critical to assist natural resource managers when they make decisions related to the water needs of both human communities and ecosystems. In order for managers to effectively plan for and adapt to future climate and land cover conditions, they require information on changes that could occur in the distribution and quantity of water resources. Yet every watershed has a unique set of characteristics – such as differing topographies and geology – that affect how much water is available, the sources of water, and how it flows through the system. This means that water availability in every watershed can be affected differently by changes in climate and land...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2018,
CASC,
Projects by Region,
Rivers, Streams and Lakes,
Rivers, Streams and Lakes,
These tabular data sets represent daily climate metrics processed from 4 kilometer snow water equivalent (SWE) raster data in millimeters (Broxton and others, 2019) for the period of record 10-01-1981 through 09-30-2020 and compiled for three spatial components: select United States Geological Survey stream gage basins (Staub and Wieczorek, 2023), 2) individual reach flowline catchments of the Upper and Lower Colorado (ucol) portions of the Geospatial Fabric for the National Hydrologic Model, version 1.1 (nhgfv11, Bock and others, 2020 ), and 3) the upstream watersheds of each individual nhgfv11 flowline catchments. Flowline reach catchment information characterizes data at the local scale using the python tool...
Categories: Data;
Tags: CONUS,
Conterminous United States,
Coterminous United States,
Geospatial Fabric,
Hydrologic Modeling,
This U.S. Geological Survey (USGS) data release record consists of topographic data themes that cover the United States-Canada Transboundary Geospatial Fabric (TGF) domain. The 30-meter (m) raster data sets included under Topographic Derivatives are: 1) digital elevation (dem.tif) , 2) topographic wetness index (TWI, twi100X.tif) ,3) slope (rise over run, slope100X.tif), 4) aspect (asp100X.tif), and flow direction (fdr.tif). In some instances, values were multiplied by 100 and converted from double precision to integer format to reduce file sizes. All file formats are in GeoTIFF (Geographic Tagged Imaged Format).
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