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Filters: Extensions: ArcGIS Service Definition (X) > partyWithName: Texas A&M University Corpus Christi, Harte Research Institute (X)

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The goal of this project is to provide a preliminary overview, at a National scale, the relative susceptibility of the Nation's coast to sea- level rise through the use of a coastal vulnerability index (CVI). This initial classification is based upon the variables geomorphology, regional coastal slope, tide range, wave height, relative sea-level rise and shoreline erosion and accretion rates. The combination of these variables and the association of these variables to each other furnish a broad overview of regions where physical changes are likely to occur due to sea-level rise.
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Climate projection data were downloaded from the Climatewizard application for the coastal region for the Gulf of Mexico. Climate projection data represent the monthly, seasonal, and yearly mean for the time period of 2000-2050 for the following variables: AET:PET ratio, Moisture deficit, Moisture surplus, PET, Precipitation, Temperature, Rainfall Anomaly, and Standard Precipitation Index. In addition, models representing change in the average mean from period of (1961-1990) is available for each of the variables. Each projected variable is modeled using three different emission scenarios High (A1), Medium (A1B) and Low (B1).
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Climate projection data were downloaded from the Climatewizard application for the coastal region for the Gulf of Mexico. Climate projection data represent the monthly, seasonal, and yearly mean for the time period of 2000-2050 for the following variables: AET:PET ratio, Moisture deficit, Moisture surplus, PET, Precipitation, Temperature, Rainfall Anomaly, and Standard Precipitation Index. In addition, models representing change in the average mean from period of (1961-1990) is available for each of the variables. Each projected variable is modeled using three different emission scenarios High (A1), Medium (A1B) and Low (B1).
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Climate projection data were downloaded from the Climatewizard application for the coastal region for the Gulf of Mexico. Climate projection data represent the monthly, seasonal, and yearly mean for the time period of 2000-2050 for the following variables: AET:PET ratio, Moisture deficit, Moisture surplus, PET, Precipitation, Temperature, Rainfall Anomaly, and Standard Precipitation Index. In addition, models representing change in the average mean from period of (1961-1990) is available for each of the variables. Each projected variable is modeled using three different emission scenarios High (A1), Medium (A1B) and Low (B1).
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Average Temperature from 1985 to 2011: Dataset covering the Gulf of Mexico coast, clipped from the origional datset of the conterminous U.S., for the year 1985-2011. Contains spatially gridded mean monthly precipitation at 4km grid cell resolution. Distribution of the point measurements to the spatial grid was accomplished using the PRISM model, developed and applied by Dr. Christopher Daly of the PRISM Climate Group at Oregon State University. This dataset is available free-of-charge on the PRISM website. Data clip was obtained through climatewizard.org. Average Projected Temperature from 2000-2050: Climate projection data were downloaded from the Climatewizard application for the coastal region for the Gulf...
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The goal of this project is to provide a preliminary overview, at a National scale, the relative susceptibility of the Nation's coast to sea- level rise through the use of a coastal vulnerability index (CVI). This initial classification is based upon the variables geomorphology, regional coastal slope, tide range, wave height, relative sea-level rise and shoreline erosion and accretion rates. The combination of these variables and the association of these variables to each other furnish a broad overview of regions where physical changes are likely to occur due to sea-level rise.
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Climate projection data were downloaded from the Climatewizard application for the coastal region for the Gulf of Mexico. Climate projection data represent the monthly, seasonal, and yearly mean for the time period of 2000-2050 for the following variables: AET:PET ratio, Moisture deficit, Moisture surplus, PET, Precipitation, Temperature, Rainfall Anomaly, and Standard Precipitation Index. In addition, models representing change in the average mean from period of (1961-1990) is available for each of the variables. Each projected variable is modeled using three different emission scenarios High (A1), Medium (A1B) and Low (B1).
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This dataset shows Marinas within the Gulf of Mexico
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Alabama, Aransas County, Baldwin County, Boat, Boat Ramps, All tags...
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Average Precipitation: Dataset covering the Gulf of Mexico coast, clipped from the origional datset of the conterminous U.S., for the year 1985-2011. Contains spatially gridded mean monthly precipitation at 4km grid cell resolution. Distribution of the point measurements to the spatial grid was accomplished using the PRISM model, developed and applied by Dr. Christopher Daly of the PRISM Climate Group at Oregon State University. This dataset is available free-of-charge on the PRISM website. Data clip was obtained through climatewizard.org Standard and Projected Precipitation: Climate projection data were downloaded from the Climatewizard application for the coastal region for the Gulf of Mexico. Climate projection...
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The goal of this project is to provide a preliminary overview, at a National scale, the relative susceptibility of the Nation's coast to sea- level rise through the use of a coastal vulnerability index (CVI). This initial classification is based upon the variables geomorphology, regional coastal slope, tide range, wave height, relative sea-level rise and shoreline erosion and accretion rates. The combination of these variables and the association of these variables to each other furnish a broad overview of regions where physical changes are likely to occur due to sea-level rise.
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Climate projection data were downloaded from the Climatewizard application for the coastal region for the Gulf of Mexico. Climate projection data represent the monthly, seasonal, and yearly mean for the time period of 2000-2050 for the following variables: AET:PET ratio, Moisture deficit, Moisture surplus, PET, Precipitation, Temperature, Rainfall Anomaly, and Standard Precipitation Index. In addition, models representing change in the average mean from period of (1961-1990) isavailable for each of the variables. Each projected variable is modeled using three different emission scenarios High (A1), Medium (A1B) and Low (B1).
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Climate projection data were downloaded from the Climatewizard application for the coastal region for the Gulf of Mexico. Climate projection data represent the monthly, seasonal, and yearly mean for the time period of 2000-2050 for the following variables: AET:PET ratio, Moisture deficit, Moisture surplus, PET, Precipitation, Temperature, Rainfall Anomaly, and Standard Precipitation Index. In addition, models representing change in the average mean from period of (1961-1990) is available for each of the variables. Each projected variable is modeled using three different emission scenarios High (A1), Medium (A1B) and Low (B1).
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Climate projection data were downloaded from the Climatewizard application for the coastal region for the Gulf of Mexico. Climate projection data represent the monthly, seasonal, and yearly mean for the time period of 2000-2050 for the following variables: AET:PET ratio, Moisture deficit, Moisture surplus, PET, Precipitation, Temperature, Rainfall Anomaly, and Standard Precipitation Index. In addition, models representing change in the average mean from period of (1961-1990) is available for each of the variables. Each projected variable is modeled using three different emission scenarios High (A1), Medium (A1B) and Low (B1).
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Attempts to stabilize the shore can greatly influence rates of shoreline change. Beach nourishment in particular will bias rates of observed shoreline change toward accretion or stability, even though the natural beach, in the absence of nourishment, would be eroding. Trembanis and Pilkey (1998) prepared a summary of identifiable beach nourishment projects in the Gulf Coast region that had been conducted before 1996. Those records were used to identify shoreline segments that had been influenced by beach nourishment. Supplemental information regarding beach nourishment was collected from agencies familiar with nourishment projects in the State. All records were compiled to create a GIS layer depicting the spatial...
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This data set contains information on the probabilities of hurricane-induced erosion (collision, inundation and overwash) for each 1-km section of the United States coast for category 1-5 hurricanes. 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 direct landfall of category 1-5 hurricanes. Hurricane-induced water levels, due to both surge and waves, are compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Data on dune morphology (dune crest and toe elevation) and hydrodynamics...
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There are critical needs for a nationwide compilation of reliable shoreline data. To meet these needs, the USGS has produced a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing historical shoreline databases and by generating historical and modern shoreline data. Shorelines are compiled by state and generally correspond to one of four time periods: 1800s, 1920s-1930s, 1970s, and 1998-2002. Each shoreline may represent a compilation of data from one or more sources for one or more dates provided by one or more agencies. Details regarding source are provided in the 'Data Quality Information' section of this metadata report. Shoreline vectors derived from historic...


    map background search result map search result map Beach Nourishment in the Gulf of Mexico Historical Changes in Shoreline in the Gulf of Mexico National Assessment of Coastal Vulnerability to Sea-Level Rise in the Gulf of Mexico Relative sediment delivery at the mouth of rivers in the Gulf of Mexico USGS Erosion Hazard for the East and Gulf Coasts Boat Ramp locations in the Gulf of Mexico Marinas in the Gulf of Mexico Ports Located in the United States Average and Change AET:PET Ratio for Emissions Scenarios A2, A1B & B1 for the Gulf of Mexico Average, Standard and Projected Precipitation for Emissions Scenarios A2, A1B, and B1 for the Gulf of Mexico Change in Precipitation (Projected and Observed) and Change in Standard Precipitation For Emissions Scenarios A2, A1B and B1 for the Gulf of Mexico Average Temperature  from 1985 to 2011 and Projected Average Temperature from 2000-2050 for Emissions Scenarios A2, A1B and B1 for the Gulf of Mexico Change in Temperature (Projected and Observed) for Emissions Scenarios A2, A1B, and B1 for the Gulf of Mexico Average and Change Moisture Deficit for Emissions Scenarios A2, A1B and B1 for the Gulf of Mexico Average and Change Moisture Surplus for Emissions Scenarios A2, A1B and B1 for the Gulf of Mexico Average and Change in PET for Emissions Scenarios A2, A1B and B1 for the Gulf of Mexico Average and Change Rainfall Anomaly for Emissions Scenarios A2, A1B, and B1 for the Gulf of Mexico Wave Height Data for the Gulf of Mexico Tidal Range Data for the Gulf of Mexico Beach Nourishment in the Gulf of Mexico Historical Changes in Shoreline in the Gulf of Mexico National Assessment of Coastal Vulnerability to Sea-Level Rise in the Gulf of Mexico Wave Height Data for the Gulf of Mexico Tidal Range Data for the Gulf of Mexico Boat Ramp locations in the Gulf of Mexico Marinas in the Gulf of Mexico Average and Change AET:PET Ratio for Emissions Scenarios A2, A1B & B1 for the Gulf of Mexico Change in Precipitation (Projected and Observed) and Change in Standard Precipitation For Emissions Scenarios A2, A1B and B1 for the Gulf of Mexico Change in Temperature (Projected and Observed) for Emissions Scenarios A2, A1B, and B1 for the Gulf of Mexico Average and Change Moisture Deficit for Emissions Scenarios A2, A1B and B1 for the Gulf of Mexico Average and Change Moisture Surplus for Emissions Scenarios A2, A1B and B1 for the Gulf of Mexico Average and Change in PET for Emissions Scenarios A2, A1B and B1 for the Gulf of Mexico Average and Change Rainfall Anomaly for Emissions Scenarios A2, A1B, and B1 for the Gulf of Mexico Average, Standard and Projected Precipitation for Emissions Scenarios A2, A1B, and B1 for the Gulf of Mexico Average Temperature  from 1985 to 2011 and Projected Average Temperature from 2000-2050 for Emissions Scenarios A2, A1B and B1 for the Gulf of Mexico USGS Erosion Hazard for the East and Gulf Coasts Relative sediment delivery at the mouth of rivers in the Gulf of Mexico Ports Located in the United States