Name: Storm Surge Exposure to Hurricane Katrina like event in 2100
Display Field: name
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: The data used for this analysis consisted of US census 2000 blockgroups for the states of Mississippi and Alabama that intersected with the boundary of the Grand Bay National Estuarine Research Reserve (NERR) study area boundary. The sea-level rise data was derived from the SLAMM 1m of sea-level rise by 2100 scenarios, where all areas of the estuarine water category were extracted from the predicted 2100 landcover scenario. The storm surge data was derived from the ADCIRC model scenario data for the year 2100 representing a storm surge scenario similar to hurricane Katrina in 2005 amplified with 1m of sea-level rise in the year 2100 based on Low (<5%), Moderate (5%-15%) and High (>15%) percent of block group area inundated. The overland storm surge scenario in the year 2100 was used for the analysis, representing the maximum potential height of storm surge in feet over land areas in Grand Bay, which was a product produced from the original ADCIRC model data. The method used for this analysis consisted of determining the extent of areas that would be flooded by 1m of sea-level rise and by a storm surge scenario amplified by 1m of sea-level rise and then determining the percent of each census blockgroups that would potentially be inundated by each hazard type. The sea-level rise data was created by extracting all pixels classified as estuarine water in the predicted 2100 landcover scenario and then converting the extracted pixels to vector polygons. The polygons were then overlapped with the census blockgroup polygons using the intersect tool in ArcGIS, where the areas of overlap were extracted as a new layer. The area for the resulting overlapping polygons was calculated and then summed for all overlapping polygons within each census blockgroup to determine the total area of each blockgroup potentially inundated by sea-level rise. A similar method was employed for determining the extent of each blockgroup that would be exposed to a storm surge with 1m of sea-level rise. All pixels representing overland storm surge in the storm surge scenario image were reclassified as the same value and then converted to a vector polygon representing all areas that would be potential inundated by storm surge. The intersect tool in ArcGIS was used to determine all areas of overlap between the extent of overland storm surge and the census blockgroups. The area of the overlapping areas were calculated and then summed for each blockgroup to determine the percent of each blockgroup that would potentially be inundated by the storm surge amplified by 1m of sea-level rise. Using a 5 natural jenk method.
<a href='xml/gulfmex_MS_GBN_StormSurgeExposure_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>
Description: This file consists of the Grand Bay National Estuarine Research Reserve (NERR) and Grand Bay Natioanl Wildlife Refugre (NWR) boundaries merged and dissolved together to form a single boundary. The purpose of this analysis was to identify priority marsh conservation areas based on the results from the Sea-Level Rise Affecting Marsh Model (SLAMM) for the four different project sites in the Gulf of Mexico. The analysis consisted of two parts, which included the identification of current marsh areas that are predicted to persist until 2100 with 1m of sea-level rise, as well as new areas that are marshes are predicted to migrate into by 2100 with 1m of sea-level rise. The second part of the analysis consisted of identifying these marsh areas that lie outside of current conservation areas, which would constitute areas of priority for future protection. The marsh areas used for the analysis consisted of the regularly and irregularly flooded marsh categories from the SLAMM landcover maps coming from the National Wetland Inventory used in the SLAMM assessment for each project site.
<a href='xml/gulfmex_MS_GBN_ConservationAreas_2004.xml' target='_blank'><b>Metadata</b><a></br>
Description: This analysis identifies priority marsh conservation areas based on the results from the Sea-Level Rise Affecting Marsh Model (SLAMM) for the the Grand Bay NERR in Mississippi. The analysis consisted of two parts, which included the identification of current marsh areas that are predicted to persist until 2100 with 1m of sea-level rise, as well as new areas that are marshes are predicted to migrate into by 2100 with 1m of sea-level rise. The second part of the analysis consisted of identifying these marsh areas that lie outside of current conservation areas, which would constitute areas of priority for future protection. The marsh areas used for the analysis consisted of the regularly and irregularly flooded marsh categories from the SLAMM landcover maps coming from the National Wetland Inventory used in the SLAMM assessment of Grand Bay NERR.
<a href='xml/gulfmex_MS_GBN_MarshPriorityAreas_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>
Description: The file represents all predicted locations of the irregularly flooded marsh category by 2100 with 1m of sea-level rise for the Grand Bay NERR in Mississippi. This file was created by merging all locations of the irregularly flooded marsh category from the 2009, 2025, 2050, 2075, and 2100 predicted landcover maps, which were derived from the Sea Level Rise Affecting Marsh Model (SLAMM) using the 1m of sea-level rise by 2100 scenario.
<a href='xml/gulfmex_MS_GBN_IFMarshAdvance_2100_1m_SLR.xml' target='_blank'><b>Metadata</b><a></br>
Description: The file represents all predicted locations of the regularly flooded marsh category by 2100 with 1m of sea-level rise for the Grand Bay NERR in Mississippi. This file was created by merging all locations of the regularly flooded marsh category from the 2009, 2025, 2050, 2075, and 2100 predicted landcover maps, which were derived from the Sea Level Rise Affecting Marsh Model (SLAMM) using the 1m of sea-level rise by 2100 scenario.
<a href='xml/gulfmex_MS_GBN_RFMarshAdvance_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. The map represents the gain, losses, and persistence for a specific landcover category between two landcover maps representing two points in time. 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 and show how marshes are predicted to migrate inland due to rises in sea level by 2100.
<a href='xml/gulfmex_MS_GBN_IFMarshChange_1mSLR_2100.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. The map represents the gain, losses, and persistence for a specific landcover category between two landcover maps representing two points in time. 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 and show how marshes are predicted to migrate inland due to rises in sea level by 2100.
<a href='xml/gulfmex_MS_GBN_RFMarshChange_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>
Name: Salt Marshes (regularly and irregualry flooded) in 2100
Display Field:
Type: Raster Layer
Geometry Type: null
Description: 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 for The Nature Conservancy by Warren Pinnacle Consulting, Inc. and consisted of predicted landcover maps from 2009 up to the year 2100 with a 10 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 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. The marsh categories were extracted from each 2100 landcover image, reclassified as a Boolean image, and then merged together using the addition operator with the overlay tool in the Idrisi GIS software.
<a href='xml/gulfmex_MS_GBN_SaltMarshes_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>
Description: The image shows the initial condition SLAMM landcover map for the Grand Bay NERR, Nississippi which was derived from 2009 National Wetland Inventory (NWI) data and was used for the Sea Level Rise Affecting Marsh Model (SLAMM) version 6.
<a href='xml/gulfmex_MS_GBN_SLAMM_base_2009.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for the Grand Bay National Estuarine Research Reserve (NERR) in 2025 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the IPCC A1B-Mean (0.39m) of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2009 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_MS_GBN_SLAMM_IPCCmean_2025.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for the Grand Bay National Estuarine Research Reserve (NERR) in 2050 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the IPCC A1B-Mean (0.39m) of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2009 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_MS_GBN_SLAMM_IPCCmean_2050.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for the Grand Bay National Estuarine Research Reserve (NERR) in 2075 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the IPCC A1B-Mean (0.39m) of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2009 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_MS_GBN_SLAMM_IPCCmean_2075.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for the Grand Bay National Estuarine Research Reserve (NERR) in 2100 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the IPCC A1B-Mean (0.39m) of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2009 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_MS_GBN_SLAMM_IPCCmean_2100.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for the Grand Bay National Estuarine Research Reserve (NERR) in 2025 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the IPCC A1B-Max (0.69m) of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2009 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_MS_GBN_SLAMM_IPCCmax_2025.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for the Grand Bay National Estuarine Research Reserve (NERR) in 2050 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the IPCC A1B-Max (0.69m) of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2009 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_MS_GBN_SLAMM_IPCCmax_2050.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for the Grand Bay National Estuarine Research Reserve (NERR) in 2075 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the IPCC A1B-Max (0.69m) of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2009 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_MS_GBN_SLAMM_IPCCmax_2075.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for the Grand Bay National Estuarine Research Reserve (NERR) in 2100 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the IPCC A1B-Max (0.69m) of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2009 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_MS_GBN_SLAMM_IPCCmax_2100.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for the Grand Bay National Estuarine Research Reserve (NERR) in 2025 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the 1 meter of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2009 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_MS_GBN_SLAMM_1m_2025.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for the Grand Bay National Estuarine Research Reserve (NERR) in 2050 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the 1 meter of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2009 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_MS_GBN_SLAMM_1m_2050.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for the Grand Bay National Estuarine Research Reserve (NERR) in 2075 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the 1 meter of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2009 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_MS_GBN_SLAMM_1m_2075.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for the Grand Bay National Estuarine Research Reserve (NERR) in 2100 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the 1 meter of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2009 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_MS_GBN_SLAMM_1m_2100.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for the Grand Bay National Estuarine Research Reserve (NERR) in 2025 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the 1.5 meter of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2009 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_MS_GBN_SLAMM_1_5m_2025.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: ThThe image shows the SLAMM landcover cateogories for the Grand Bay National Estuarine Research Reserve (NERR) in 2050 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the 1.5 meter of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2009 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_MS_GBN_SLAMM_1_5m_2050.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for the Grand Bay National Estuarine Research Reserve (NERR) in 2075 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the 1.5 meter of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2009 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_MS_GBN_SLAMM_1_5m_2075.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for the Grand Bay National Estuarine Research Reserve (NERR) in 2100 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the 1.5 meter of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2009 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_MS_GBN_SLAMM_1_5m_2100.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for the Grand Bay National Estuarine Research Reserve (NERR) in 2025 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the 2 meter of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2009 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_MS_GBN_SLAMM_2m_2025.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for the Grand Bay National Estuarine Research Reserve (NERR) in 2050 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the 2 meter of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2009 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='/xml/gulfmex_MS_GBN_SLAMM_2m_2050.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for the Grand Bay National Estuarine Research Reserve (NERR) in 2075 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the 2 meter of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2009 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_MS_GBN_SLAMM_2m_2075.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Description: The image shows the SLAMM landcover cateogories for the Grand Bay National Estuarine Research Reserve (NERR) in 2100 derived from the the Sea Level Rise Affecting Marsh Model (SLAMM) version 6. The model used the 2 meter of sea-level rise by 2100 scenario and was produced by Warren Pinnacle Consulting, Inc. for the Nature Conservancy. The purpose of this map was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included the starting point in 2009 and predicted landcover maps for 2025, 2050, 2075 and 2100.
<a href='xml/gulfmex_MS_GBN_SLAMM_2m_2100.xml' target='_blank'><b>Metadata</b><a></br>
Copyright Text: The Nature Conservancy and Warren Pinnacle Consulting
Name: Predicted Estuarine Water Gains in 2025 with 0.18m of SLR
Display Field:
Type: Raster Layer
Geometry Type: null
Description: The file was created by determining all new areas of the estuarine water category created by 1 meter of SLR by 2100 in the predicted 2025 landcover map of Grand Bay National Estuarine Research Reserve (NERR) in Mississippi, which was derived from the SLAMM model, as compared to initial conditions in the 2009 landcover map.
<a href='xml/gulfmex_MS_GBN_EstuarineGain_1mSLR_2025.xml' target='_blank'><b>Metadata</b><a></br>
Name: Predicted Estuarine Water Gains in 2050 with 0.41m of SLR
Display Field:
Type: Raster Layer
Geometry Type: null
Description: The file was created by determining all new areas of the estuarine water category created by 1 meter of SLR by 2100 in the predicted 2050 landcover map of Grand Bay National Estuarine Research Reserve (NERR) in Mississippi, which was derived from the SLAMM model, as compared to initial conditions in the 2009 landcover map.
<a href='xml/gulfmex_MS_GBN_EstuarineGain_1mSLR_2050.xml' target='_blank'><b>Metadata</b><a></br>
Name: Predicted Estuarine Water Gains in 2075 with 0.70m of SLR
Display Field:
Type: Raster Layer
Geometry Type: null
Description: The file was created by determining all new areas of the estuarine water category created by 1 meter of SLR by 2100 in the predicted 2075 landcover map of Grand Bay National Estuarine Research Reserve (NERR) in Mississippi, which was derived from the SLAMM model, as compared to initial conditions in the 2009 landcover map.
<a href='xml/gulfmex_MS_GBN_EstuarineGain_1mSLR_2075.xml' target='_blank'><b>Metadata</b><a></br>
Name: Predicted Estuarine Water Gains in 2100 with 1m of SLR
Display Field:
Type: Raster Layer
Geometry Type: null
Description: The file was created by determining all new areas of the estuarine water category created by 1 meter of SLR by 2100 in the predicted 2100 landcover map of Grand Bay National Estuarine Research Reserve (NERR) in Mississippi, which was derived from the SLAMM model, as compared to initial conditions in the 2009 landcover map.
<a href='xml/gulfmex_MS_GBN_EstuarineGain_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>
Description: The map shows the predicted overland storm surge for Grand Bay, Mississippi under hurricane Katrina (2005) conditions. The storm surge simulation used the 2009 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 all land areas that were inundated by storm surge in the model were selected, the elevation value of each of the selected points was subtracted from the maximum storm surge elevation height, which showed height above sea level (0ft NAVD88), to calculate the height of the storm surge above the ground surface. The resulting values for the storm surge height above the ground surface were then averaged together using a spatial join to a vector polygon grid with a resolution of 150m, where the resolution 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 above the ground surface within the study area.
<a href='xml/gulfmex_MS_GBN_StormSurge_Katrina_2009.xml' target='_blank'><b>Metadata</b><a></br>
Description: The map shows the predicted overland storm surge in 2050 with 1 meter of sea level rise for Grand Bay, Mississippi under hurricane Katrina (2005) conditions. The storm surge simulation used the 2009 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 all land areas that were inundated by storm surge in the model were selected, the elevation value of each of the selected points was subtracted from the maximum storm surge elevation height, which showed height above sea level (0ft NAVD88), to calculate the height of the storm surge above the ground surface. The resulting values for the storm surge height above the ground surface were then averaged together using a spatial join to a vector polygon grid with a resolution of 150m, where the resolution 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 above the ground surface within the study area.
<a href='xml/gulfmex_MS_GBN_StormSurge_Katrina_1mSLR_2050.xml' target='_blank'><b>Metadata</b><a></br>
Description: The map shows the predicted overland storm surge in 2100 with 1 meter of sea level rise for Grand Bay, Mississippi under hurricane Katrina (2005) conditions. The storm surge simulation used the 2009 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 all land areas that were inundated by storm surge in the model were selected, the elevation value of each of the selected points was subtracted from the maximum storm surge elevation height, which showed height above sea level (0ft NAVD88), to calculate the height of the storm surge above the ground surface. The resulting values for the storm surge height above the ground surface were then averaged together using a spatial join to a vector polygon grid with a resolution of 150m, where the resolution 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 above the ground surface within the study area.
<a href='xml/gulfmex_MS_GBN_StormSurge_Katrina_1mSLR_2100.xml' target='_blank'><b>Metadata</b><a></br>