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The shapefiles depict the valley bottom areas over which HEC-RAS model results were summarized. Valley bottoms were manually delineated in ArcMap by visually interpreting LIDAR terrain models and aerial imagery. Substantial changes in elevation, curvature, and slope were interpreted within the context of their position within the study reach to be channel banks and valley walls. Such areas were excluded from the valley bottom delineation.
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The shapefiles depict the 2D HEC-RAS hydraulic modeling domains used for the simulations described in the associated publication. Model domains were delineated in the HEC-RAS geometry editor to encompass river-valley bottoms and adjacent hillslopes of four river reaches of contrasting contributing area and morphology: Seneca Creek at Dawsonville, MD; Patapsco River at Woodstock, MD; Patuxent River at Unity, MD; and Little Gunpowder Falls at Laurel Brook, MD.
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This data release includes monitoring data collected by the U.S. Geological Survey (USGS) Humboldt Bay Water Quality and Salt Marsh Monitoring Project. The datasets include continuous water levels collected at a 6-minute timestep collected in two study marshes (Mad River and Hookton). Surface deposition, elevation changes and carbon storage (in marsh edge environments) measured in five USGS study marshes (Mad River, Manila, Jacoby, White and Hookton). The monitoring data presented in this data release represent fundamental datasets needed to manage blue carbon stocks, assess marsh vulnerability, inform SLR adaptation planning, and build coastal resiliency to climate change in Humboldt Bay, CA Additional documentaton...
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Summary This data release contains postprocessed model output from a simulation of hypothetical rapid motion of landslides, subsequent wave generation, and wave propagation. A simulated displacement wave was generated by rapid motion of unstable material into Barry Arm fjord. We consider the wave propagation in Harriman Fjord and Barry Arm, western Prince William Sound (area of interest and place names depicted in Figure 1). We consider only the largest wave-generating scenario presented by Barnhart and others (2021a, 2021b). As in Barnhart and others (2021c), we used a simulation setup similar to Barnhart and others (2021a, 2021b), but our results differ because we used different topography and bathymetry datasets....
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These data were compiled for monitoring riparian vegetation change along the Colorado River. This file contains data recorded at 42 sandbars between Lees Ferry and Diamond Creek, AZ, which are sampled for both geomorphic and vegetation change annually. Field data contained here were collected from 2012 to 2016 in September and October of each year. Plant species cover values in 5441 1m^2 quadrat frames, locations and elevations of those sampling frames, slope and aspect, sample dates, temperature and precipitation data, and flood frequency parameters were either recorded in the field or calculated. Annual and seasonal climate variables were estimated from eight weather stations distributed along the river corridor...
Tags: Arizona, Botany, Climatology, Colorado River, Diamond Creek, All tags...
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This project evaluated the potential impacts of storm surges and relative sea level rise on nesting geese and eider species that commonly breed on the Yukon-Kuskokwim Delta (Y-K Delta). Habitat suitability maps for breeding waterbirds were developed to identify current waterbird breeding habitat and distributions. Short-term climate change impacts were assessed by comparing nest densities in relation to magnitude of storms that occurred in the prior fall from 2000-2013. Additionally, nest densities were modeled using random forests in relation to the time-integrated flood index (e.g., a storm specific measure accounting for both water depth and duration of flooding) for four modeled storms (2005, 2006, 2009, and...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: DELTAS, DELTAS, DUCKS/GEESE/SWANS, DUCKS/GEESE/SWANS, Decision Support, All tags...
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A high spatial resolution storm surge model was developed for the YK Delta area to assess biological impacts of storm surges under current and future climates. Storm surges are expected to be more frequent and more severe in the YK Delta area due to climate change and sea level rise. The biological impacts in the YK Delta due to the changed storm surges could be extreme.The model was assessed with respect to measured water level data at the coast and, where available, spatial extent of inundation, for 6 storms from the period 1992 to 2011. In total, inundation projections from 9 historical storms (5 from the assessment + 4 others) were developed. For each storm, an spatial inundation index (time-integral of water...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ARCHAEOLOGICAL AREAS, ARCHAEOLOGICAL AREAS, Academics & scientific researchers, COASTAL AREAS, COASTAL AREAS, All tags...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This dataset contains directory structure for use with the Shoreline Management Tool as described in Open File Report 2012-1247 entitled "The Shoreline Management Tool: An ArcMap Tool for Analyzing Water Depth, Inundated Area, Volume, and Selected Habitats, with an Example for the Lower Wood River Valley, Oregon". The ShorelineDirectory contains folder in which the Shoreline Management Tool will operate and create output files. The...
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This dataset (in ESRI file geodatabase format) contains inundation areas for various future scenarios of sea-level rise (SLR), groundwater rise, and storm waves at Midway Atoll in the Northwestern Hawaiian Islands. Four types of inundation scenarios are considered: (1) passive SLR, (2) passive SLR including groundwater rise, (3) wave-driven inundation during storm events, and (4) wave-driven inundation during storm events including groundwater rise. For each of these four scenarios, five different levels of SLR are considered: 0.00 m, +0.50 m, +1.00 m, +1.50 m, and +2.00 m. We considered each scenario at mean high water in order to predict inundation during the more damaging part of the tidal range. Each of the...
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These data were created as part of the National Oceanic and Atmospheric Administration Coastal Services Center's efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses.Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: http://www.csc.noaa.gov/slr...
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These data were created as part of the National Oceanic and Atmospheric Administration Coastal Services Center's efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses.Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: http://www.csc.noaa.gov/slr...
This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) for each 100-meter (m) section of the United States Pacific coast for return period storm scenarios. The analysis is based on a storm-impact scaling model that uses observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to the hydrodynamic forcing. Storm-induced water levels, due to both surge and waves, are compared to coastal elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Data on morphology (dune crest and toe elevation) and hydrodynamics (storm surge,...
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Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the results of a geospatial surface-water connectivity model in support of ecological investigations fully described in the USGS Open File Report entitled “Indicators of Ecosystem Structure and Function for the Upper Mississippi River System” (De Jager et al., in review). Briefly, we identified likely instances of floodplain submergence by comparing a daily time series of gage-derived water surface elevations to topo-bathymetric data modified to account for slopes and hydrologic routing. The resulting raster attribute table contains columns...
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Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the results of a geospatial surface-water connectivity model in support of ecological investigations fully described in the USGS Open File Report entitled “Indicators of Ecosystem Structure and Function for the Upper Mississippi River System” (De Jager et al., in review). Briefly, we identified likely instances of floodplain submergence by comparing a daily time series of gage-derived water surface elevations to topo-bathymetric data modified to account for slopes and hydrologic routing. The resulting raster attribute table contains columns...
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Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the results of a geospatial surface-water connectivity model in support of ecological investigations fully described in the USGS Open File Report entitled “Indicators of Ecosystem Structure and Function for the Upper Mississippi River System” (De Jager et al., in review). Briefly, we identified likely instances of floodplain submergence by comparing a daily time series of gage-derived water surface elevations to topo-bathymetric data modified to account for slopes and hydrologic routing. The resulting raster attribute table contains columns...
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This data table contains summary data for temperature time series in near-surface sediments in high and low tidal marsh at 7 sites during 2015. These data support the following publication: Janousek, C.N., Buffington, K.J., Guntenspergen, G.R. et al. Ecosystems (2017). doi:10.1007/s10021-017-0111-6. http://link.springer.com/article/10.1007/s10021-017-0111-6
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This table contains data on dry mass remaining in a subset of Salicornia pacifica and Deschampsia cespitosa litter bags removed over a series of time points spanning 6 months. These data support the following publication: Janousek, C.N., Buffington, K.J., Guntenspergen, G.R. et al. Ecosystems (2017). doi:10.1007/s10021-017-0111-6. http://link.springer.com/article/10.1007/s10021-017-0111-6
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This data release comprises the raster data files and code necessary to perform all analyses presented in the associated publication. The 16 TIF raster data files are classified surface water maps created using the Dynamic Surface Water Extent (DSWE) model implemented in Google Earth Engine using published technical documents. The 16 tiles cover the country of Cambodia, a flood-prone country in Southeast Asia lacking a comprehensive stream gauging network. Each file includes 372 bands. Bands represent surface water for each month from 1988 to 2018, and are stacked from oldest (Band 1 - January 1988) to newest (Band 372 - December 2018). DSWE classifies pixels unobscured by cloud, cloud shadow, or snow into five...
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USGS researchers with the Patterns in the Landscape – Analyses of Cause and Effect (PLACE) project are releasing a collection of high-frequency surface water map composites derived from daily Moderate Resolution Imaging Spectroradiometer (MODIS) imagery. Using Google Earth Engine, the team developed customized image processing steps and adapted the Dynamic Surface Water Extent (DSWE) to generate surface water map composites in California for 2003-2019 at a 250-m pixel resolution. Daily maps were merged to create 6, 3, 2, and 1 composite(s) per month corresponding to approximately 5-day, 10-day, 15-day, and monthly products, respectively. The resulting maps are available as downloadable files for each year. Each...


map background search result map search result map Sea Level Rise Estimates for Don Edwards San Francisco Bay NWR NOAA Sea Level Rise (1-6 ft) Data for San Diego Bay NWR Sediment Temperature, 2015 Linear loss of litter over time, 2015 Summary handout - Factsheet Lidar processing and Survey Reports The impacts of storm surges on breeding waterbirds on the Yukon-Kuskokwim Delta, Alaska: past effects and future projected impacts Climate, hydrology and riparian vegetation composition data, Grand Canyon, Arizona UMRS Floodplain Inundation Attributes - Pool 11 UMRS Floodplain Inundation Attributes - Pool 22 UMRS Floodplain Inundation Attributes - Pool 25 Shapefiles depicting the 2D HEC-RAS hydraulic modeling domains Seneca Shapefiles depicting the valley bottom areas Implementation of a Surface Water Extent Model using Cloud-Based Remote Sensing - Code and Maps Modeled extreme total water levels along the U.S. west coast DSWEmod surface water map composites generated from daily MODIS images - California Salt marsh monitoring during water years 2013 to 2019, Humboldt Bay, CA – water levels, surface deposition, elevation change, and carbon storage Simulated inundation extent and depth in Harriman Fjord and Barry Arm, western Prince William Sound, Alaska, resulting from the hypothetical rapid motion of landslides into Barry Arm Fjord, Prince William Sound, Alaska OFR2012-1247 Shoreline Management Tool NAVD88 v20130410 -- version for lower Wood River Valley, Oregon using NAVD88 vertical datum Seneca Shapefiles depicting the valley bottom areas OFR2012-1247 Shoreline Management Tool NAVD88 v20130410 -- version for lower Wood River Valley, Oregon using NAVD88 vertical datum Salt marsh monitoring during water years 2013 to 2019, Humboldt Bay, CA – water levels, surface deposition, elevation change, and carbon storage Simulated inundation extent and depth in Harriman Fjord and Barry Arm, western Prince William Sound, Alaska, resulting from the hypothetical rapid motion of landslides into Barry Arm Fjord, Prince William Sound, Alaska UMRS Floodplain Inundation Attributes - Pool 22 UMRS Floodplain Inundation Attributes - Pool 11 UMRS Floodplain Inundation Attributes - Pool 25 The impacts of storm surges on breeding waterbirds on the Yukon-Kuskokwim Delta, Alaska: past effects and future projected impacts Climate, hydrology and riparian vegetation composition data, Grand Canyon, Arizona Summary handout - Factsheet Lidar processing and Survey Reports Shapefiles depicting the 2D HEC-RAS hydraulic modeling domains Implementation of a Surface Water Extent Model using Cloud-Based Remote Sensing - Code and Maps Sediment Temperature, 2015 Linear loss of litter over time, 2015 DSWEmod surface water map composites generated from daily MODIS images - California Modeled extreme total water levels along the U.S. west coast NOAA Sea Level Rise (1-6 ft) Data for San Diego Bay NWR Sea Level Rise Estimates for Don Edwards San Francisco Bay NWR