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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Separate data for floodplain elevation and bathymetry were collected on the Upper Mississippi River System (UMRS) by the US Army Corps of Engineers (USACE), Upper Mississippi River Restoration (UMRR) Program. While many information needs can be met by using these data separately, in many cases seamless elevation data across the river and its floodplain are needed. This seamless elevation surface was generated by merging lidar (i.e., floodplain elevation) and bathymetry data. Merging the data required special processing in the areas of transition between the two sources of data.
This part of DS 781 presents data for the bathymetry map of the Offshore of Monterey map area, California. Bathymetry data are provided as separate grids depending on resolution. This metadata file refers to the data included in "Bathymetry_5m_OffshoreMonterey.zip," which is accessible from https://doi.org/10.5066/F70Z71C8. These data accompany the pamphlet and map sheets of Johnson, S.Y., Dartnell, P., Hartwell, S.R., Cochrane, G.R., Golden, N.E., Watt, J.T., Davenport, C.W., Kvitek, R.G., Erdey, M.D., Krigsman, L.M., Sliter, R.W., and Maier, K.L. (S.Y. Johnson and S.A. Cochran, eds.), 2016, California State Waters Map Series—Offshore of Monterey, California: U.S. Geological Survey Open-File Report 2016–1110, pamphlet...
Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, Raster; Tags: Backscatter, Bathymetry, Bathymetry, CMHRP, Coastal and Marine Hazards and Resources Program, All tags...
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We performed bathymetric surveys using a shallow-water echo-sounding system (Takekawa et al., 2010, Brand et al., 2012) comprised of an acoustic profiler (Navisound 210; Reson, Inc., Slangerup, Denmark), Leica RTK GPS Viva rover, and laptop computer mounted on a shallow-draft, portable flat-bottom boat (Bass Hunter, Cabelas, Sidney, NE; Figure 7). The RTK GPS obtained high resolution elevations of the water surface (reported precision 10 cm water depth. We recorded twenty depth readings and one GPS location each second along transects spaced 100 m apart perpendicular to the nearby salt marsh. We calibrated the system before use with a bar-check plate and adjusted the sound velocity for salinity and temperature differences....
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We performed bathymetric surveys using a shallow-water echo-sounding system (Takekawa et al., 2010, Brand et al., 2012) comprised of an acoustic profiler (Navisound 210; Reson, Inc., Slangerup, Denmark), Leica RTK GPS Viva rover, and laptop computer mounted on a shallow-draft, portable flat-bottom boat (Bass Hunter, Cabelas, Sidney, NE; Figure 7). The RTK GPS obtained high resolution elevations of the water surface (reported precision 10 cm water depth. We recorded twenty depth readings and one GPS location each second along transects spaced 100 m apart perpendicular to the nearby salt marsh. We calibrated the system before use with a bar-check plate and adjusted the sound velocity for salinity and temperature differences....
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To assess the current topography of the tidal marshes we conducted survey-grade elevation surveys at all sites between 2009 and 2013 using a Leica RX1200 Real Time Kinematic (RTK)Global Positioning System (GPS) rover (±1 cm horizontal, ±2 cm vertical accuracy; Leica Geosystems Inc., Norcross, GA; Figure 4). At sites with RTK network coverage (San Pablo, Petaluma, Pt. Mugu, and Newport), rover positions were received in real time from the Leica Smartnet system via a CDMA modem (www.lecia-geosystems.com). At sites without network coverage (Humboldt, Bolinas, Morro and Tijuana), rover positions were received in real time from a Leica GS10 antenna base station via radio link. When using the base station, we adjusted...
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The Randomized Shortest Path (RSP) raster delineates potential dispersal paths for male-mediated gene flow between grizzly bear (Ursus arctos) populations in the Greater Yellowstone Ecosystem (GYE) and the Northern Continental Divide Ecosystem (NCDE). A RSP algorithm was used to estimate the average number of net passages for all grid cells at a spatial resolution of 300 m in the study region which spans parts of Montana, Idaho, and Wyoming. RSP rasters identify potential movement paths for 3 levels of random deviation determined by the parameter Θ (i.e., Θ = 0.01, 0.001, and 0.0001) for bears moving from an origin to a destination node. Lower values of Θ result in greater exploration and more random deviation around...


map background search result map search result map Bathymetry [5m]--Offshore of Monterey, California San Pablo, California: Tidal Marsh Digital Elevation Model Humboldt, California: Tidal Marsh Bathymetry Digital Elevation Model San Pablo, California: Tidal Marsh Bathymetry Digital Elevation Models UMRR Marseilles Topobathy Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P1 from 1975 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T5 from 1987 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P7 from 1989 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P6 from 2001 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P8 from 2002 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T9 from 2004 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetlands P6 and P7 from 2012 Randomized shortest paths for Grizzly Bear dispersal between the GYE and NCDE Precipitation (Mean: Annual) - 2070-2100 - RCP4.5 - Mean Precipitation (Mean: Annual) - 2070-2100 - RCP8.5 - Max Temperature (Mean: Annual) - 2020-2050 - RCP4.5 - Mean Precipitation (Mean: Apr - June) - 2070-2100 - RCP8.5 - Mean Precipitation (Mean: Apr - June) - 2020-2050 - RCP4.5 - Mean Precipitation (Mean: Apr - June) - 2020-2050 - RCP4.5 - Min Precipitation (Mean: July - Sep) - 2070-2100 - RCP4.5 - Min Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T5 from 1987 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P7 from 1989 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T9 from 2004 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P6 from 2001 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P1 from 1975 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P8 from 2002 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetlands P6 and P7 from 2012 Humboldt, California: Tidal Marsh Bathymetry Digital Elevation Model San Pablo, California: Tidal Marsh Digital Elevation Model San Pablo, California: Tidal Marsh Bathymetry Digital Elevation Models Bathymetry [5m]--Offshore of Monterey, California UMRR Marseilles Topobathy Randomized shortest paths for Grizzly Bear dispersal between the GYE and NCDE Precipitation (Mean: Annual) - 2070-2100 - RCP4.5 - Mean Precipitation (Mean: Annual) - 2070-2100 - RCP8.5 - Max Temperature (Mean: Annual) - 2020-2050 - RCP4.5 - Mean Precipitation (Mean: Apr - June) - 2070-2100 - RCP8.5 - Mean Precipitation (Mean: Apr - June) - 2020-2050 - RCP4.5 - Mean Precipitation (Mean: Apr - June) - 2020-2050 - RCP4.5 - Min Precipitation (Mean: July - Sep) - 2070-2100 - RCP4.5 - Min