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Copyright Text: CCMA credits these people for deriving this dataset: Menza, C., B.P. Kinlan, D.S. Dorfman, M. Poti and C. Caldow
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Copyright Text: CCMA credits these people for deriving this dataset: Menza, C., B.P. Kinlan, D.S. Dorfman, M. Poti and C. Caldow
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Description: Seasonal averages of sea surface temperature (SST) were calculated by averaging monthly composites of SST, ranging from 1985-2001. SST monthly composites were obtained from the National Aeronautics and Space Administration (NASA) Pathfinder 1.1 km Advanced Very High Resolution Radiometer SST archive for the Northwest Atlantic region; these data are maintained at the University of Rhode Island and publicly available via OpenDAP. For more details about data processing, please see the NOAA NCCOS report prepared for the NY Department of State's Offshore Atlantic Ocean Study.
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Copyright Text: CCMA credits these people for deriving this dataset: Menza, C., B.P. Kinlan, D.S. Dorfman, M. Poti and C. Caldow
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Description: Seasonal averages of sea surface temperature (SST) were calculated by averaging monthly composites of SST, ranging from 1985-2001. SST monthly composites were obtained from the National Aeronautics and Space Administration (NASA) Pathfinder 1.1 km Advanced Very High Resolution Radiometer SST archive for the Northwest Atlantic region; these data are maintained at the University of Rhode Island and publicly available via OpenDAP. For more details about data processing, please see the NOAA NCCOS report prepared for the NY Department of State's Offshore Atlantic Ocean Study.
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Copyright Text: CCMA credits these people for deriving this dataset: Menza, C., B.P. Kinlan, D.S. Dorfman, M. Poti and C. Caldow
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Description: Seasonal averages of water column stratification were calculated for the period 1980-2007. Data were obtained from The Nature Conservancy and Dr. Grant Law. Data were processed and mapped by NOAA NCCOS. Briefly, three-dimensional ocean temperature and salinity were interpolated from conductivity-temperature-depth (CTD) casts. CTD cast data were obtained from a combination of Hydrobase, NOAA National Marine Fisheries Service, Fisheries and Ocean Canada, and South-Atlantic Bight oceanographic databases. Stratification was calculated by subtracting seawater density at 50 meters depth from surface seawater density. The resultant values were then averaged to generate a 1980-2007 climatology. For more details about data processing, please see the NOAA NCCOS report prepared for the NY Department of State's Offshore Atlantic Ocean Study.
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Copyright Text: CCMA credits these people for deriving this dataset: Menza, C., B.P. Kinlan, D.S. Dorfman, M. Poti and C. Caldow
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Description: Seasonal averages of water column stratification were calculated for the period 1980-2007. Data were obtained from The Nature Conservancy and Dr. Grant Law. Data were processed and mapped by NOAA NCCOS. Briefly, three-dimensional ocean temperature and salinity were interpolated from conductivity-temperature-depth (CTD) casts. CTD cast data were obtained from a combination of Hydrobase, NOAA National Marine Fisheries Service, Fisheries and Ocean Canada, and South-Atlantic Bight oceanographic databases. Stratification was calculated by subtracting seawater density at 50 meters depth from surface seawater density. The resultant values were then averaged to generate a 1980-2007 climatology. For more details about data processing, please see the NOAA NCCOS report prepared for the NY Department of State's Offshore Atlantic Ocean Study.
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Copyright Text: CCMA credits these people for deriving this dataset: Menza, C., B.P. Kinlan, D.S. Dorfman, M. Poti and C. Caldow
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Description: Seasonal averages of water column stratification were calculated for the period 1980-2007. Data were obtained from The Nature Conservancy and Dr. Grant Law. Data were processed and mapped by NOAA NCCOS. Briefly, three-dimensional ocean temperature and salinity were interpolated from conductivity-temperature-depth (CTD) casts. CTD cast data were obtained from a combination of Hydrobase, NOAA National Marine Fisheries Service, Fisheries and Ocean Canada, and South-Atlantic Bight oceanographic databases. Stratification was calculated by subtracting seawater density at 50 meters depth from surface seawater density. The resultant values were then averaged to generate a 1980-2007 climatology. For more details about data processing, please see the NOAA NCCOS report prepared for the NY Department of State's Offshore Atlantic Ocean Study.
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Copyright Text: CCMA credits these people for deriving this dataset: Menza, C., B.P. Kinlan, D.S. Dorfman, M. Poti and C. Caldow
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Description: Seasonal averages of water column stratification were calculated for the period 1980-2007. Data were obtained from The Nature Conservancy and Dr. Grant Law. Data were processed and mapped by NOAA NCCOS. Briefly, three-dimensional ocean temperature and salinity were interpolated from conductivity-temperature-depth (CTD) casts. CTD cast data were obtained from a combination of Hydrobase, NOAA National Marine Fisheries Service, Fisheries and Ocean Canada, and South-Atlantic Bight oceanographic databases. Stratification was calculated by subtracting seawater density at 50 meters depth from surface seawater density. The resultant values were then averaged to generate a 1980-2007 climatology. For more details about data processing, please see the NOAA NCCOS report prepared for the NY Department of State's Offshore Atlantic Ocean Study.
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Copyright Text: CCMA credits these people for deriving this dataset: Menza, C., B.P. Kinlan, D.S. Dorfman, M. Poti and C. Caldow
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Layer: Turbidity - Long-Term Average, Fall (9)
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Description: Seasonal averages of surface turbidity were calculated for the period 1998-2006. Turbidity was estimated using high-resolution SeaWiFS satellite data to measure the water-leaving radiance at 670nm. Turbidity values were normalized to reflect the fraction of incident light reflected, resulting in dimensionless values ranging from 0 to 1. For more details about data processing, please see the NOAA NCCOS report prepared for the NY Department of State's Offshore Atlantic Ocean Study.
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Copyright Text: CCMA credits these people for deriving this dataset: Menza, C., B.P. Kinlan, D.S. Dorfman, M. Poti and C. Caldow
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Description: Seasonal averages of surface turbidity were calculated for the period 1998-2006. Turbidity was estimated using high-resolution SeaWiFS satellite data to measure the water-leaving radiance at 670nm. Turbidity values were normalized to reflect the fraction of incident light reflected, resulting in dimensionless values ranging from 0 to 1. For more details about data processing, please see the NOAA NCCOS report prepared for the NY Department of State's Offshore Atlantic Ocean Study.
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Copyright Text: CCMA credits these people for deriving this dataset: Menza, C., B.P. Kinlan, D.S. Dorfman, M. Poti and C. Caldow
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Description: Seasonal averages of surface turbidity were calculated for the period 1998-2006. Turbidity was estimated using high-resolution SeaWiFS satellite data to measure the water-leaving radiance at 670nm. Turbidity values were normalized to reflect the fraction of incident light reflected, resulting in dimensionless values ranging from 0 to 1. For more details about data processing, please see the NOAA NCCOS report prepared for the NY Department of State's Offshore Atlantic Ocean Study.
Definition Expression: N/A
Copyright Text: CCMA credits these people for deriving this dataset: Menza, C., B.P. Kinlan, D.S. Dorfman, M. Poti and C. Caldow
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Description: Seasonal averages of surface turbidity were calculated for the period 1998-2006. Turbidity was estimated using high-resolution SeaWiFS satellite data to measure the water-leaving radiance at 670nm. Turbidity values were normalized to reflect the fraction of incident light reflected, resulting in dimensionless values ranging from 0 to 1. For more details about data processing, please see the NOAA NCCOS report prepared for the NY Department of State's Offshore Atlantic Ocean Study.
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Copyright Text: CCMA credits these people for deriving this dataset: Menza, C., B.P. Kinlan, D.S. Dorfman, M. Poti and C. Caldow
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Layer: RiskAreas_Coastal_NYSDOS_prelimRevised (13)
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Description: The objective of the Risk Assessment (and resulting mapped Risk Areas) is to define areas at risk from coastal hazards. Data were collected from sources accurate enough to differentiate geographic areas according to the likelihood of flooding, erosion, waves and storm surge. To the extent allowed by source data, areas where flood water can extend up streams and under culverts and bridges are reflected in mapping. The mapping process and data sources used are described below. Mapped Risk Areas are classified into three categories: Extreme, high, and moderate.Extreme Risk Areas: These are areas currently at risk of frequent inundation, vulnerable to erosion in the next 40 years, or likely to be inundated in the future due to sea level rise. Criteria and source data used to define these Extreme Risk Areas include:FEMA V zone. Areas subject to Shallow Coastal Flooding per NOAA NWS’s advisory threshold. Areas prone to erosion, natural protective feature areas susceptible to erosion. Added 3 feet to the MHHW shoreline and extended this elevation inland over the digital elevation model (DEM) to point of intersection with ground surface. These four criteria were overlaid and polygons were generated that included the maximum spatial extend of the above-listed criteria. These polygons represent Extreme Risk Areas.High Risk Areas: These are areas that fall outside of the Extreme Risk Areas and are currently at infrequent risk of inundation or are at risk in the future from sea level rise. Criteria and source data used to define these High Risk Areas include: Area bounded by the 1% annual flood risk zone (FEMA V and A zones). Added 3 feet to NOAA NWS coastal flooding advisory threshold and extended this elevation inland over the DEM to point of intersection with ground surface.Polygons were created that were upland of the Extreme Risk Area boundary and included the maximum spatial extent of the above-listed criteria. These polygons represent High Risk Areas. Moderate Risk Areas: These are areas that fall outside of the Extreme and High Risk Areas, but are currently at moderate risk of inundation from infrequent events or are at risk in the future from sea level rise. Criteria and source data used to define these High Risk Areas include: Area bounded by the 0.2% annual risk (500 year) flood zone, where available. Added 3 feet to the Base Flood Elevation for the current 1% annual risk flood event and extended this elevation inland over the DEM to point of intersection with ground surface. Area bounded by SLOSH category 3 hurricane inundation zone. Polygons were created that were upland of the Extreme & High Risk Area boundaries and included the maximum spatial extent of the above-listed criteria. These polygons represent Moderate Risk Areas. (7/1/13)
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Copyright Text: New York State Department of State Coastal Management Program (NYSDOS), National Oceanic and Atmospheric Administration Coastal Services Center (NOAA-CSC), and the Federal Emergency Management Agency (FEMA).
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Description: The coastal boundary was originally created as a set of maps at a scale of 1:48000. This digital representation has been created from the original paper copies through "heads-up" digitizing using geographic information software and the digital NYSDOT planimetric quadrangles at a scale of 1:24000. The official coastal boundary is a written description contained in the federally approved New York State Coastal Management Program, LIS CMP, and applicable LWRPs. The waterward boundary extends 3 miles into open ocean, to shared state lines in Long Island Sound and the New York Bight and to the International boundary in the Great Lakes, Niagara and St. Lawrence Rivers. Generally, the inland boundary is approximately 1,000 feet from the shoreline following well-defined features such as roads, railroads or shorelines as described in the CMP FEIS, unless otherwise indicated. Where necessary this boundary extends inland to include major state owned lands and facilities and electic power generation facilities which abut on the shoreline, major coastal recreational areas, significant agricultural lands, significant coastal habitats, scenic viewsheds of State or national significance, major historic or coastal dependent industrial areas, and the 100 year flood plain. In urbanized and other developed locations along the coast, the landward boundary is approximately 500 feet from the shoreline or less than 500 feet at locations where a major roadway or railway line runs parallel to the shoreline. The seaward boundary of New York State's coastal area includes all coastal waters within its territorial jurisdiction.
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Copyright Text: NYS Department of State, Office of Planning and Development
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Layer: Shallow coastal flooding areas (15)
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Description: 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 These data depict the potential inundation extent of coastal areas resulting from National Weather Service issued Coastal Flood Advisories. The Coastal Flood Advisory areas are based on individual Weather Forecast Office (WFO) guidance thresholds at monitored tide stations and are referenced to the MLLW tidal datum. The process used to produce the data can be described as a modified bathtub approach that attempts to account for both local/regional tidal variability. The process uses either two or three source datasets depending on geographic location to derive the final inundation rasters: the Digital Elevation Model (DEM) of the area, a tidal surface model that represents spatial tidal variability, and an interpolated threshold surface if there is significant difference between flooding thresholds between varying geographic areas (Ex: Chesapeake Bay area). The tidal model is created using the NOAA National Geodetic Survey's VDATUM datum transformation software (http://vdatum.noaa.gov) in conjunction with spatial interpolation/extrapolation methods and represents the MLLW tidal datum in orthometric values (North American Vertical Datum of 1988).The interpolated threshold surface is created using the flooding threshold values found at select NOAA tide gages used by the NWS to define flooding events. The methods used to produce these data does not account for erosion, subsidence, or any future changes in an area's hydrodynamics. It is simply a method to derive data in order to visualize the potential scale and extent, not exact location, of inundation from NWS issued Coastal Flood Advisories.
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Copyright Text: Acknowledgment of the NOAA Coastal Services Center as a data source would be appreciated in products developed from these data, and such acknowledgment as is standard for citation and legal practices for data source is expected.
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Layer: Sediment Grain Size - Modeled (16)
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