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Map document, AL_MP500174, is part of the New Jersey Zinc Collection; the topic area is Map and the map type is Orebody Map. The PDF was scanned from a paper map as part of the USGS NGGDPP deliverable for 2020-21.Physical Storage: Room 2, Austinville Limestone Company, Newtown Church Road, Austinville, VA 24312. Digital Storage: \\NG00250050\DGMR\Collections\NewJerseyZinc\Maps\AL_MP500174.pdf The author is The New Jersey Zinc Company. The item is dated: 27617. Notes: 11-48-107 to 111 Block at 1:30 scale as of August 11th, 1975. Includes orebody locations and stopes.
Categories: Physical Item; Tags: Map
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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LOCA is a statistical downscaling technique that uses past history to add improved fine-scale detail to global climate models. We have used LOCA to downscale 32 global climate models from the CMIP5 archive at a 1/16th degree spatial resolution, covering North America from central Mexico through Southern Canada. The historical period is 1950-2005, and there are two future scenarios available: RCP 4.5 and RCP 8.5 over the period 2006-2100 (although some models stop in 2099). The variables currently available are daily minimum and maximum temperature, and daily precipitation. For more information visit: http://loca.ucsd.edu/
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In this project, we used an advanced statistical downscaling method that combines high-resolution observations with outputs from 16 different global climate models based on 4 future emission scenarios to generate the most comprehensive dataset of daily temperature and precipitation projections available for climate change impacts in the U.S. The gridded dataset covers the continental United States, southern Canada and northern Mexico at one-eighth degree resolution and Alaska at one-half degree resolution. The high-resolution projections produced by this work have been rigorously quality-controlled for both errors and biases in the global climate and statistical downscaling models. We also calculated projected future...
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The U.S. Great Plains is known for frequent hazardous convective weather and climate extremes. Across this region, climate change is expected to cause more severe droughts, more intense heavy rainfall events, and subsequently more flooding episodes. These potential changes in climate will adversely affect habitats, ecosystems, and landscapes as well as the fish and wildlife they support. Better understanding and simulation of regional precipitation can help natural resource managers mitigate and adapt to these adverse impacts. In this project, we aim to achieve a better precipitation downscaling in the Great Plains with the Weather Research and Forecast (WRF) model and use the high quality dynamic downscaling results...
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The Japanese Meteorological Agency Non-Hydrostatic Model (NHM) is nested inside the Regional Spectral Model (RSM) at 10 km grid resolution which in turn is forced at the lateral boundaries to dynamically downscale two general circulation models (GCMs) that participated in the Coupled Model Intercomparison Project (CMIP5). The downscaled regional climate change projections were developed for two twenty-year timeslices for the high Greenhouse Gas Emission Scenario, RCP8.5. These climate change projections were developed to provide information about climate change for various climate change applications within Puerto Rico and the US Virgin Islands. In particular, the model output parameters were saved in response to...
Keywords: outcrop. Comment: {none noted} Paper Quality: fair. Corner coordinates: NLatDD 37.75, SLatDD 37.625, WLongDD -92.5, ELongDD -92.375
Categories: Physical Item; Tags: Field Map
Keywords: geology. Comment: {none noted} Paper Quality: fair. Corner coordinates: NLatDD 37.75, SLatDD 37.5, WLongDD -91, ELongDD -90.75
Categories: Physical Item; Tags: Field Map
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This is the Original Product Resolution (OPR) Digital Elevation Model (DEM) as provided to the USGS. This DEM is delivered in the original resolution, with the original spatial reference. These data may be used as the source of updates to the seamless layers of the 3D Elevation Program, which serves as the elevation layer of the National Map. These data can be used by scientists and resource managers for global change research, hydrologic modeling, resource monitoring, mapping and visualization, and many other applications.
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This is the Original Product Resolution (OPR) Digital Elevation Model (DEM) as provided to the USGS. This DEM is delivered in the original resolution, with the original spatial reference. These data may be used as the source of updates to the seamless layers of the 3D Elevation Program, which serves as the elevation layer of the National Map. These data can be used by scientists and resource managers for global change research, hydrologic modeling, resource monitoring, mapping and visualization, and many other applications.
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This is the Original Product Resolution (OPR) Digital Elevation Model (DEM) as provided to the USGS. This DEM is delivered in the original resolution, with the original spatial reference. These data may be used as the source of updates to the seamless layers of the 3D Elevation Program, which serves as the elevation layer of the National Map. These data can be used by scientists and resource managers for global change research, hydrologic modeling, resource monitoring, mapping and visualization, and many other applications.
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This is the Original Product Resolution (OPR) Digital Elevation Model (DEM) as provided to the USGS. This DEM is delivered in the original resolution, with the original spatial reference. These data may be used as the source of updates to the seamless layers of the 3D Elevation Program, which serves as the elevation layer of the National Map. These data can be used by scientists and resource managers for global change research, hydrologic modeling, resource monitoring, mapping and visualization, and many other applications.


map background search result map search result map Half degree-Alaska Daily Downscaled Climate Projections by Katharine Hayhoe Projected Future LOCA Statistical Downscaling (Localized Constructed Analogs) Statistically downscaled CMIP5 climate projections for North America USGS Topo Map Vector Data (Vector) 42312 South Yolla Bolly Mountains, California 20220516 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 14651 Eureka Hill, California 20220516 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 45920 Tungsten Hills, California 20220516 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 39753 Sand Flat, California 20220516 for 7.5 x 7.5 minute FileGDB 10.1 Very High-Resolution Dynamic Downscaling of Regional Climate for Use in Long-term Hydrologic Planning along the Red River Valley System JMA Non-Hydrostatic Model (NHM): Puerto Rico and US Virgin Islands Dynamical Downscaled Climate Change Projections F02196, Drynob quadrangle, 1:24000 F02208, Edgehill quadrangle, 1:62500 Map from the New Jersey Zinc Company Historic Collection , AL_MP500174, Austinville, VA US Topo 7.5-minute map for Charley Creek West, OK US Topo 7.5-minute map for Keystone Dam, OK US Topo 7.5-minute map for Ripley, OK US Topo 7.5-minute map for Lubbock West, TX US Topo 7.5-minute map for Clara, TX,OK USGS Original Project Resolution KS_Statewide_2018_A18 15S_UB_4970 USGS Original Project Resolution KS_Statewide_2018_A18 15S_UB_0415 USGS Original Project Resolution KS_Statewide_2018_A18 15S_TB_8950 USGS Original Project Resolution KS_Statewide_2018_A18 15S_TB_9450 USGS Original Project Resolution KS_Statewide_2018_A18 15S_UB_4970 USGS Original Project Resolution KS_Statewide_2018_A18 15S_UB_0415 USGS Original Project Resolution KS_Statewide_2018_A18 15S_TB_9450 USGS Original Project Resolution KS_Statewide_2018_A18 15S_TB_8950 USGS Topo Map Vector Data (Vector) 42312 South Yolla Bolly Mountains, California 20220516 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 14651 Eureka Hill, California 20220516 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 45920 Tungsten Hills, California 20220516 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 39753 Sand Flat, California 20220516 for 7.5 x 7.5 minute FileGDB 10.1 US Topo 7.5-minute map for Charley Creek West, OK US Topo 7.5-minute map for Keystone Dam, OK US Topo 7.5-minute map for Ripley, OK US Topo 7.5-minute map for Lubbock West, TX US Topo 7.5-minute map for Clara, TX,OK JMA Non-Hydrostatic Model (NHM): Puerto Rico and US Virgin Islands Dynamical Downscaled Climate Change Projections Half degree-Alaska Daily Downscaled Climate Projections by Katharine Hayhoe Projected Future LOCA Statistical Downscaling (Localized Constructed Analogs) Statistically downscaled CMIP5 climate projections for North America Very High-Resolution Dynamic Downscaling of Regional Climate for Use in Long-term Hydrologic Planning along the Red River Valley System