Description: This file was created for The Nature Conservancy's Sea Level Rise Project for the northern Gulf of Mexico with funding from the Coastal Bend Bays and Estuary Program (CBBEP). This dataset shows the community resiliency index in 2100 for each census block group in Corpus Christi Bay, Texas under a simulated category 1 hurricane event and a 1 meter of sea level rise by 2100 scenario based on predicted landcover maps of Corpus Christi Bay, Texas using the Advanced Circulation model (ADCIRC) and SLAMM modeling. This analysis combines the Community Risk Analysis and Marsh Viability Analysis to identify communities in the Corpus Christi Bay area that might be least (or most) resilient based on a communitys social vulnerability, exposure to storm surge, and the viability of marsh systems within each block group.
<a href='xml/gulfmex_TX_CC_Resiliency_2100_SS_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Description: This file was created for The Nature Conservancy's Sea Level Rise Project for the northern Gulf of Mexico with funding from the Coastal Bend Bays and Estuary Program (CBBEP). This dataset shows the percentage of each block group in Corpus Christi Bay, Texas that are potentially exposed to 1 meter of SLR in the year 2100 based on Low (<5%), Moderate (5%-15%) and High (>15%) percent of block group area inundated. The map represents the extent of estuarine and open ocean water inundation that might occur under a 1 meter of sea level rise by 2100 scenario, which were derived from predicted landcover maps of Corpus Christi Bay, Texas. The landcover maps used for the study area were derived from Sea Level Rise Affecting Marsh Model (SLAMM) using the 1m of sea-level rise by 2100 scenario which predict how marshes might migrate inland due to increasing sea levels.
<a href='xml/gulfmex_TX_CC_SLRExposure_2100_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Name: Storm Surge Exposure to simulated Cat 1 hurricane event in 2006
Display Field: stfid
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This file was created for The Nature Conservancy's Sea Level Rise Project for the northern Gulf of Mexico with funding from the Coastal Bend Bays and Estuary Program (CBBEP). This dataset shows the percentage of each census block group in Corpus Christi Bay, Texas that are potentially exposed to storm surge from a simulated category 1 hurricane under initial conditions in 2006. The map represents the extent of storm surge inundation that might occur under a simulated category 1 hurricane based on predicted landcover maps of Corpus Christi Bay, Texas using the Advanced Circulation model (ADCIRC) based on Low (<5%), Moderate (5%-15%) and High (>15%) percent of block group area inundated. The landcover maps used for the study area were derived from Sea Level Rise Affecting Marsh Model (SLAMM) using the 1m of sea-level rise by 2100 scenario which predict how marshes might migrate inland due to increasing sea levels.This modeling effort was motivated by the need to provide a series of technical tools to the members of the Coastal Bend Bays and Estuary Program (CBBEP) to better understand the effects of sea level rise (SLR) and storm surge in the Corpus Christi region. The implementation of the ADCIRC model for SLR analysis complements the information produced by previous studies conducted by The Nature Conservancy (TNC). The products provided as part of this effort will help coastal managers, scientist and the conservation community in identifying the additional threat posed by storm surge given one meter of SLR by 2100 in the study area. This project has been funded through grants from the Coastal Bend Bays and Estuary Program. The intent of this project is to utilize the SLAMM data to analyze the effects of future landscapes and SLR on storm surge. Future landscapes include changes in land cover type and coastal subsidence. The land cover changes are implemented by utilizing the available SLAMM output information. Subsidence is accounted for by applying a region wide value assumed in the SLAMM analyses (Warren Pinnacle Consulting). A SLR rate of one meter by 2100 is analyzed for this study for 2050 and 2100 conditions. Three scenarios of SLR were analyzed using the ADCIRC hydrodynamic model; the model evaluated the initial conditions in 2004 and future 2050 and 2100 scenarios under SLR. ADCIRC is a physics based, unstructured mesh finite element model, solving the shallow water equations for time dependent, free surface circulation problems (Luettich et al. 2004). ADCIRC is commonly applied for tidal studies, including hurricane storm surge and flooding applications by state and federal agencies throughout the United States. All maps and coordinates in this report are referenced to the NAD83 horizontal datum and NAVD88 vertical datum.
<a href='xml/gulfmex_TX_CC_StormSurgeExposure_2006.xml' target='_blank'><b>Metadata</b><a></br>
Name: Storm Surge Exposure to simulated Cat 1 hurricane event in 2100
Display Field: stfid
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This file was created for The Nature Conservancy's Sea Level Rise Project for the northern Gulf of Mexico with funding from the Coastal Bend Bays and Estuary Program (CBBEP). This dataset shows the percentage of each census block group in Corpus Christi Bay, Texas that are potentially exposed to storm surge from a simulated category 1 hurricane under 1 meter of sea level rise by 2100 scenario in 2100. The map represents the extent of storm surge inundation that might occur under a simulated category 1 hurricane based on predicted landcover maps of Corpus Christi Bay, Texas using the Advanced Circulation model (ADCIRC)based on Low (<5%), Moderate (5%-15%) and High (>15%) percent of block group area inundated. The landcover maps used for the study area were derived from Sea Level Rise Affecting Marsh Model (SLAMM) using the 1m of sea-level rise by 2100 scenario which predict how marshes might migrate inland due to increasing sea levels.This modeling effort was motivated by the need to provide a series of technical tools to the members of the Coastal Bend Bays and Estuary Program (CBBEP) to better understand the effects of sea level rise (SLR) and storm surge in the Corpus Christi region. The implementation of the ADCIRC model for SLR analysis complements the information produced by previous studies conducted by The Nature Conservancy (TNC). The products provided as part of this effort will help coastal managers, scientist and the conservation community in identifying the additional threat posed by storm surge given one meter of SLR by 2100 in the study area. This project has been funded through grants from the Coastal Bend Bays and Estuary Program. The intent of this project is to utilize the SLAMM data to analyze the effects of future landscapes and SLR on storm surge. Future landscapes include changes in land cover type and coastal subsidence. The land cover changes are implemented by utilizing the available SLAMM output information. Subsidence is accounted for by applying a region wide value assumed in the SLAMM analyses (Warren Pinnacle Consulting). A SLR rate of one meter by 2100 is analyzed for this study for 2050 and 2100 conditions. Three scenarios of SLR were analyzed using the ADCIRC hydrodynamic model; the model evaluated the initial conditions in 2004 and future 2050 and 2100 scenarios under SLR. ADCIRC is a physics based, unstructured mesh finite element model, solving the shallow water equations for time dependent, free surface circulation problems (Luettich et al. 2004). ADCIRC is commonly applied for tidal studies, including hurricane storm surge and flooding applications by state and federal agencies throughout the United States. All maps and coordinates in this report are referenced to the NAD83 horizontal datum and NAVD88 vertical datum.
<a href='xml/gulfmex_TX_CC_StormSurgeExposure_2100_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Description: This file was created for The Nature Conservancy's Sea Level Rise Project for the northern Gulf of Mexico with funding from the Coastal Bend Bays and Estuary Program (CBBEP). This dataset shows communities at risk for each block group in Corpus Christi Bay, Texas that are potentially exposed to 1 meter of SLR in the year 2100. The map represents the risk communities face due to sea level rise and their social vulnerability. Risk is defined as the outcome of the interaction between the hazard impact, the level of exposure of the elements at risk to the hazard, and the vulnerability of the elements at risk (Shepard et al. 2011). This analysis shows at risk communities in Corpus Christi Bay, Texas due to a 1 m SLR scenario by 2100. The input datasets include the SoVI dataset and the community exposure analysis that estimates the percentage of each block group exposed to various inundation scenarios. High risk communities in this analysis are those that are classified as having higher social vulnerability and higher exposure to SLR. Low risk communities are those that have lower social vulnerability and lower exposure to SLR. Finally, the Community Risk index was calculated by classifying the exposure index with the SoVI into a 1-5 (low to high) ranking system where blocks groups that experienced high exposure and high social vulnerability (e.g. 5), were considered highest risk, while block groups with medium exposure and medium social vulnerability were considered medium risk (e.g. 3), and so forth.
<a href='xml/gulfmex_TX_CC_SLRRisk_2100_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Name: Storm Surge Risk to simulated Cat 1 hurricane event in 2006
Display Field: stfid
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This file was created for The Nature Conservancy's Sea Level Rise Project for the northern Gulf of Mexico with funding from the Coastal Bend Bays and Estuary Program (CBBEP). This dataset shows communities at risk of storm surge inundation in 2006 for each census block group in Corpus Christi Bay, Texas under a simulated category 1 hurricane event. The map represents the risk to communities of storm surge inundation that might occur under a simulated category 1 hurricane based on predicted landcover maps of Corpus Christi Bay, Texas using the Advanced Circulation model (ADCIRC). The map represents the risk communities face due to storm surge inundation and their social vulnerability. Risk is defined as the outcome of the interaction between the hazard impact, the level of exposure of the elements at risk to the hazard, and the vulnerability of the elements at risk (Shepard et al. 2011). The input datasets include the SoVI dataset and the community storm surge exposure analysis that estimates the percentage of each block group exposed to storm surge inudation. High risk communities in this analysis are those that are classified as having higher social vulnerability and higher exposure to storm surge. Low risk communities are those that have lower social vulnerability and lower exposure to storm surge. Finally, the Community Risk index was calculated by classifying the exposure index with the SoVI into a 1-5 (low to high) ranking system where blocks groups that experienced high exposure and high social vulnerability (e.g. 5), were considered highest risk, while block groups with medium exposure and medium social vulnerability were considered medium risk (e.g. 3), and so forth.
<a href='xml/gulfmex_TX_CC_StormSurgeRisk_2006.xml' target='_blank'><b>Metadata</b><a></br>
Name: Storm Surge Risk to simulated Cat 1 hurricane event in 2100
Display Field: stfid
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This file was created for The Nature Conservancy's Sea Level Rise Project for the northern Gulf of Mexico with funding from the Coastal Bend Bays and Estuary Program (CBBEP). This dataset shows communities at risk of storm surge inundation in 2100 for each census block group in Corpus Christi Bay, Texas under a simulated category 1 hurricane event and a 1 meter of sea level rise by 2100 scenario based on predicted landcover maps of Corpus Christi Bay, Texas using the Advanced Circulation model (ADCIRC). The map represents the risk communities face due to storm surge inundation and their social vulnerability. Risk is defined as the outcome of the interaction between the hazard impact, the level of exposure of the elements at risk to the hazard, and the vulnerability of the elements at risk (Shepard et al. 2011). The input datasets include the SoVI dataset and the community storm surge exposure analysis that estimates the percentage of each block group exposed to storm surge inudation. High risk communities in this analysis are those that are classified as having higher social vulnerability and higher exposure to storm surge. Low risk communities are those that have lower social vulnerability and lower exposure to storm surge. Finally, the Community Risk index was calculated by classifying the exposure index with the SoVI into a 1-5 (low to high) ranking system where blocks groups that experienced high exposure and high social vulnerability (e.g. 5), were considered highest risk, while block groups with medium exposure and medium social vulnerability were considered medium risk (e.g. 3), and so forth.
<a href='xml/gulfmex_TX_CC_StormSurgeRisk_2100_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Description: This file was created for The Nature Conservancy's Sea Level Rise Project for the northern Gulf of Mexico with funding from the Coastal Bend Bays and Estuary Program (CBBEP). This dataset shows all salt marshes (>2500 sq. meters) that fall within federal, state and/or Nature Conservancy managed lands within the Corpus Christi Bay, Texas project area boundaries. The data for this shapefile comes from SLAMM datasets, TNC lands data and The Protected Areas Database of the United States (PAD-US), which is a geodatabase, managed by USGS GAP, that illustrates and describes public land ownership, management and other conservation lands, including voluntarily provided privately protected areas. Management areas shown here are either federal, state, or managed by The Nature Conservancy and potentially do not include all management areas within the study area, nor do they consider the level of protection per management area.
<a href='xml/gulfmex_TX_CC_ExistingMarshManagement_2006.xml' target='_blank'><b>Metadata</b><a></br>
Description: This file was created for The Nature Conservancy's Sea Level Rise Project for the northern Gulf of Mexico with funding from the Coastal Bend Bays and Estuary Program (CBBEP). This dataset shows all salt marshes (>2500 sq. meters) that fall within federal, state and/or Nature Conservancy managed conservation areas within the Corpus Christi Bay, Texas project area boundaries. The data for this shapefile comes from SLAMM datasets, TNC lands data and The Protected Areas Database of the United States (PAD-US), which is a geodatabase, managed by USGS GAP, that illustrates and describes public land ownership, management and other conservation lands, including voluntarily provided privately protected areas. Management areas shown here are either federal, state, or managed by The Nature Conservancy and potentially do not include all management areas within the study area, nor do they consider the level of protection per management area.
<a href='xml/gulfmex_TX_CC_ConservationAreas_2006.xml' target='_blank'><b>Metadata</b><a></br>
Description: This file was created for The Nature Conservancy's Sea Level Rise Project for the northern Gulf of Mexico with funding from the Coastal Bend Bays and Estuary Program (CBBEP). This dataset shows all predicted salt marshes (>2500 sq. meters) in 2100 with 1 meter of sea level rise that fall within federal, state and/or Nature Conservancy managed lands within the Corpus Christi Bay, Texas project area boundaries. The data for this shapefile comes from SLAMM datasets, TNC lands data and The Protected Areas Database of the United States (PAD-US), which is a geodatabase, managed by USGS GAP, that illustrates and describes public land ownership, management and other conservation lands, including voluntarily provided privately protected areas. Management areas shown here are either federal, state, or managed by The Nature Conservancy and potentially do not include all management areas within the study area, nor do they consider the level of protection per management area.
<a href='xml/gulfmex_TX_CC_FutureMarshManagement_2100_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Description: This file was created for The Nature Conservancy's Sea Level Rise Project for the northern Gulf of Mexico with funding from the Coastal Bend Bays and Estuary Program (CBBEP). This dataset shows the percentage of loss of existing salt marshes (irregularly flooded and regularly flooded) in Corpus Christi Bay, Texas by 2100 under a 1 m sea level rise scenario. The map represents the footprint of all salt marsh areas (> 2500 sq. meters), which were derived from predicted landcover maps of Corpus Christi Bay, Texas. The landcover maps used for the study area were derived from Sea Level Rise Affecting Marsh Model (SLAMM) using the 1m of sea-level rise by 2100 scenario which predict how marshes might migrate inland due to increasing sea levels.
<a href='xml/gulfmex_TX_CC_ExistingMarshLoss_2100_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Description: This file was created for The Nature Conservancy's Sea Level Rise Project for the northern Gulf of Mexico with funding from the Coastal Bend Bays and Estuary Program (CBBEP). The map represents the predicted extent of salt marsh advancement (regularly and irregularly flooded) in 2100, which were derived from predicted landcover maps of Corpus Christi Bay, Texas. This dataset shows the marsh advancement zone within which existing regularly- and irregularly-flooded marshes are expected to migrate through the year 2100 under a 1m SLR scenario. The advancement zone dataset excludes existing marsh distribution and only shows the future path of marsh habitat. The landcover maps used for the study area were derived from Sea Level Rise Affecting Marsh Model (SLAMM) using the 1m of sea-level rise by 2100 scenario which predict how marshes might migrate inland due to increasing sea levels.
<a href='xml/gulfmex_TX_CC_MarshAdvance_2100_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Description: This dataset was made to show all salt marshes (irregularly- and regularly-flooded) in Corpus Christi Bay, Texas in 2100 with 1 meter of sea level rise that are adjacent to but outside of management areas. These areas were identified as priority conservation areas based on their proximity to currently existing federal, state and TNC managmed lands within the study area. The two data types used for this analysis consisted of predicted landcover maps created by the SLAMM model and federal and state conservation areas. The SLAMM maps that were used were created by The Nature Conservancy (Florida) and consisted of predicted landcover maps from 2006 up to the year 2100 with a 15 meter resolution that showed how marshes are predicted to migrate inland due to multiple scenarios of sea-level rise. The SLAMM maps with the 1m sea-level rise scenarios for each project site were selected, where the regularly and irregularly flooded marsh categories were chosen for the analysis. The conservation areas selected were the same as the ones used in the previous analysis, which included all federally owned lands, state-level conservation areas, and TNC preserves. The conservation areas that were used were all those that were fell within the study area boundaries. The methodology for this analysis consisted of extracting all areas of irregularly and regularly flooded marshes from the 2100 predicted landcover maps for each project site. The 2100 marsh areas represent all of the marsh areas that either persisted or gained new area by 2100 due to 1m of sea-level rise and were extracted from each landcover image and then merged together. The next part of the analysis consisted of merging all state and federal conservation areas into a single file, clipping them to the study area for each project site, and then rasterizing them to the same resolution and extent of the SLAMM scenarios. Once the conservation area maps and marsh area maps were reclassified, then a raster calculation was conducted by summing each pixel between both images, to identify pixels that were marsh areas that did not fall within current conservation boundaries. These pixels were then extracted to form a new image of marsh areas by 2100 that are adjacnet to but outside of current conservation area boundaries.
<a href='xml/gulfmex_TX_CC_MarshConservePriorityAreas_2100_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Name: Marsh Viability by Census Block Group in 2100
Display Field: stfid
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This dataset shows the most and least viable salt marshes (irregularly flooded and regularly flooded) by census block group in 2100 under a 1 meter SLR scenario. Marsh viability was calculated by comparing the initial marsh footprint within each census block to that which is predicted to remain by 2100. This was accomplished by summing marsh losses, gains and persistence and dividing that by the initial marsh area within the census block group. The 5 classes shown (1= high viability and 5=Low viability) were classified based on a Natural Breaks classification which helps to show maximum differences in marsh viability per census block group. Census blocks which did not intitally contain salt marsh but gained marsh by 2100 were given a rank of 6 and those without marsh were given a rank of 0. This dataset is based on results from the application of SLAMM.
<a href='xml/gulfmex_TX_CC_MarshViability_2100_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Description: The map shows the predicted overland storm surge for Corpus Christi Bay, Texas in 2006 (initial conditions) under a simulated category 1 hurricane. The storm surge simulation used the 2006 landcover map of initial conditions from the Sea Level Rise Affecting Marsh Model (SLAMM) to calculate the bottom friction resistance (Manning's n) and wind roughness (Z0) parameters for the storm surge model. The image was created from the original storm surge model point file by isolating all points that had positive elevation (land areas) and values other than -99999 (no data) for storm surge height. Once the points for storm surge height for land areas were selected, the difference between the maximum storm surge height from the NAVD88 mean sea level (0ft) was subtracted from each point’s elevation value to calculate the height of the storm surge above the ground surface. The resulting values for overland storm surge height for were then averaged together using a spatial join to a vector polygon grid with a resolution of 150m, which was based on the maximum spacing between points in the original file for the study area. The vector grid was then converted to a raster image with the same resolution, which represented the maximum predicted storm surge height (in feet) over land areas for the study area. This modeling effort was motivated by the need to provide a series of technical tools to the members of the Coastal Bend Bays and Estuary Program (CBBEP) to better understand the effects of sea level rise (SLR) and storm surge in the Corpus Christi region.
<a href='xml/gulfmex_TX_CC_StormSurge_2006.xml' target='_blank'><b>Metadata</b><a></br>
Name: Storm Surge Inundation in 2006 with all salt marsh removed
Display Field:
Type: Raster Layer
Geometry Type: null
Description: The map shows the predicted overland storm surge for Corpus Christi Bay, Texas in 2006 (initial conditions) with no salt marsh present under a simulated category 1 hurricane. The storm surge simulation used the 2006 landcover map of initial conditions from the Sea Level Rise Affecting Marsh Model (SLAMM) and converted all salt marsh landcover to estuarine water to calculate the bottom friction resistance (Manning's n) and wind roughness (Z0) parameters for the storm surge model. The image was created from the original storm surge model point file by isolating all points that had positive elevation (land areas) and values other than -99999 (no data) for storm surge height. Once the points for storm surge height for land areas were selected, the difference between the maximum storm surge height from the NAVD88 mean sea level (0ft) was subtracted from each point’s elevation value to calculate the height of the storm surge above the ground surface. The resulting values for overland storm surge height for were then averaged together using a spatial join to a vector polygon grid with a resolution of 150m, which was based on the maximum spacing between points in the original file for the study area. The vector grid was then converted to a raster image with the same resolution, which represented the maximum predicted storm surge height (in feet) over land areas for the study area. This modeling effort was motivated by the need to provide a series of technical tools to the members of the Coastal Bend Bays and Estuary Program (CBBEP) to better understand the effects of sea level rise (SLR) and storm surge in the Corpus Christi region.
<a href='xml/gulfmex_TX_CC_StormSurge_2006_NoMarsh.xml' target='_blank'><b>Metadata</b><a></br>
Description: The map shows the predicted overland storm surge for Corpus Christi Bay, Texas in 2050 under a simulated category 1 hurricane and a 1 meter of sea level rise scenario by 2100. The storm surge simulation used the 2050 landcover map from the Sea Level Rise Affecting Marsh Model (SLAMM) to calculate the bottom friction resistance (Manning's n) and wind roughness (Z0) parameters for the storm surge model. The image was created from the original storm surge model point file by isolating all points that had positive elevation (land areas) and values other than -99999 (no data) for storm surge height. Once the points for storm surge height for land areas were selected, the difference between the maximum storm surge height from the NAVD88 mean sea level (0ft) was subtracted from each point’s elevation value to calculate the height of the storm surge above the ground surface. The resulting values for overland storm surge height for were then averaged together using a spatial join to a vector polygon grid with a resolution of 150m, which was based on the maximum spacing between points in the original file for the study area. The vector grid was then converted to a raster image with the same resolution, which represented the maximum predicted storm surge height (in feet) over land areas for the study area. This modeling effort was motivated by the need to provide a series of technical tools to the members of the Coastal Bend Bays and Estuary Program (CBBEP) to better understand the effects of sea level rise (SLR) and storm surge in the Corpus Christi region.
<a href='xml/gulfmex_TX_CC_StormSurge_2050_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Description: The map shows the predicted overland storm surge for Corpus Christi Bay, Texas in 2100 under a simulated category 1 hurricane and a 1 meter of sea level rise scenario by 2100. The storm surge simulation used the 2100 landcover map from the Sea Level Rise Affecting Marsh Model (SLAMM) to calculate the bottom friction resistance (Manning's n) and wind roughness (Z0) parameters for the storm surge model. The image was created from the original storm surge model point file by isolating all points that had positive elevation (land areas) and values other than -99999 (no data) for storm surge height. Once the points for storm surge height for land areas were selected, the difference between the maximum storm surge height from the NAVD88 mean sea level (0ft) was subtracted from each point’s elevation value to calculate the height of the storm surge above the ground surface. The resulting values for overland storm surge height for were then averaged together using a spatial join to a vector polygon grid with a resolution of 150m, which was based on the maximum spacing between points in the original file for the study area. The vector grid was then converted to a raster image with the same resolution, which represented the maximum predicted storm surge height (in feet) over land areas for the study area. This modeling effort was motivated by the need to provide a series of technical tools to the members of the Coastal Bend Bays and Estuary Program (CBBEP) to better understand the effects of sea level rise (SLR) and storm surge in the Corpus Christi region.
<a href='xml/gulfmex_TX_CC_StormSurge_2100_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>