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Konfirst, Matthew Alan (2025): Sea-Level Rise Visualizations Using Data from the NOAA Interagency Reports [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.983947

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Published: 2025-09-16DOI registered: 2025-10-15

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Abstract:
This Geographic Information System (GIS) dataset is part of a comprehensive effort designed to facilitate analysis and understanding of sea-level-rise exposure in the United States and outlying territories. The dataset is derived from sea-level-rise projections published in two National Oceanic and Atmospheric Administration (NOAA) technical reports: 1) Global and Regional Sea Level Rise Scenarios for the United States (2017) and 2) Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean projections and Extreme Water Level Probabilities Along U.S. Coastlines (2022).
Each of the NOAA technical reports includes multiple sets of point projections based on mean global sea-level-rise scenarios. Global mean sea-level-rise scenarios provide an overall estimate of how sea level could change in the future. However, local effects can produce sea level changes that are substantially different than the global average. To capture those effects, the sea-level-rise projections produced for these reports utilized a 1-degree grid (approximately 111 km by 89 km at 38° north latitude) covering the coastlines of the U.S. mainland, Alaska, Hawaii, and the Caribbean and Pacific Island territories as well as the precise location of tide gauges along these coastlines. Adjustments to sea level projections at each point location include 1) shifts in oceanographic factors such as circulation patterns, 2) changes in the Earth's gravitational field and rotation, and flexure of the crust and upper mantle, due to melting of land-based ice, 3) vertical land movement (subsidence or uplift) due to glacial isostatic adjustment (ongoing changes in elevation due to the retreat of ice sheets at the end of the last Ice Age), sediment compaction, groundwater and fossil fuel withdrawals and other non-climatic factors.
The 2017 report included six scenarios: 0.3, 0.5, 1.0, 1.5, 2.0 and 2.5 meters of global mean sea-level rise in the year 2100; the 2022 report reassessed the projections for the first five scenarios and eliminated the extreme (2.5-m) scenario from consideration based on its very low probability of occurrence. The projections in these reports are provided at approximately decadal time scales and include a year 2000 baseline and the following time horizons: 2010 (2017 dataset only), 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110 (2022 dataset only), 2120, 2130 (2022 dataset only), 2140 (2022 dataset only), 2150, and 2200 (2017 dataset only). GIS visualizations for each of these 149 combinations is available as polygons that show areal extent of mean sea level and rasters that include a water depth component for each pixel at 30-m resolution. Data files are grouped by dataset (2017 or 2022) and geography, with the continental United States divided along regional boundaries used by the US Environmental Protection Agency.
These datasets are intended to provide users with GIS data layers linked to time horizons that are useful to programmatic or project-based planning processes, thus providing critical insight for policymakers, researchers, planners, and others concerned with climate adaptation practices addressing sea-level rise in coastal areas.
Keyword(s):
GIS data; projections; sea-level rise
Source:
Sweet, William; Hamlington, Benjamin D; Kopp, Robert E; Weaver, Christopher P; Barnard, Patrick L; Bekaert, David; Brooks, William; Craghan, Michael; Dusek, Gregory; Frederikse, Thomas; Garner, Gregory; Genz, Ayesha S; Krasting, John P; Larour, Eric Y; Marcy, Doug; Marra, John; Obeysekera, Jayantha; Osler, Mark; Pendleton, Matthew; Roman, Daniel; Schmied, Lauren; Veatch, Will; White, Kathleen D; Zuzak, Casey (2022): Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean Projections and Extreme Water Level Probabilities Along U.S. Coastlines. NOAA. Technical Report NOS 01. National Oceanic and Atmospheric Administration, National Ocean Service, Silver Spring, MD, 111 pp, NOAA_Technical_Report_2022.pdf
Sweet, William; Kopp, Robert E; Weaver, Christopher P; Obeysekera, Jayantha; Horton, Radley M; Thieler, E Robert; Zervas, Chris (2017): Global and Regional Sea Level Rise Scenarios for the United State. NOAA Technical Report NOS CO-OPS 083. U.S. Department of Commerce, NOAA_Technical_Report_2017.pdf
Coverage:
Median Latitude: 30.024846 * Median Longitude: -116.735325 * South-bound Latitude: -14.372467 * West-bound Longitude: 145.757216 * North-bound Latitude: 56.055103 * East-bound Longitude: -66.423596
Date/Time Start: 2017-02-01T00:00:00 * Date/Time End: 2022-02-01T00:00:00
Event(s):
2017_SLR_Data_R1  * Latitude: 41.272141 * Longitude: -70.272882 * Date/Time: 2017-02-01T00:00:00 * Method/Device: Obtained from Geographic Information System (GIS) * Comment: Sea-Level Rise Projections for the Northeast United States (EPA Region 1) Based on Data from the NOAA 2017 Report
2017_SLR_Data_R2_Carib  * Latitude: 17.959325 * Longitude: -66.423596 * Date/Time: 2017-02-01T00:00:00 * Method/Device: Obtained from Geographic Information System (GIS) * Comment: Sea-Level Rise Projections for the US Caribbean Islands (EPA Region 2) Based on Data from the NOAA 2017 Report
2017_SLR_Data_R2_Cont  * Latitude: 40.559985 * Longitude: -73.670963 * Date/Time: 2017-02-01T00:00:00 * Method/Device: Obtained from Geographic Information System (GIS) * Comment: Sea-Level Rise Projections for the Northern Mid-Atlantic United States (EPA Region 2) Based on Data from the NOAA 2017 Report
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
Event labelEventKonfirst, Matthew Alan
Latitude of eventLatitudeKonfirst, Matthew Alan
Longitude of eventLongitudeKonfirst, Matthew Alan
Date/Time of eventDate/TimeKonfirst, Matthew Alan
Binary ObjectBinaryKonfirst, Matthew AlanObtained from Geographic Information System (GIS)
Binary Object (File Size)Binary (Size)BytesKonfirst, Matthew AlanObtained from Geographic Information System (GIS)
Binary Object (Media Type)Binary (Type)Konfirst, Matthew AlanObtained from Geographic Information System (GIS)
File contentContentKonfirst, Matthew Alan
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
48 data points

Data

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Event

Latitude

Longitude

Date/Time

Binary

Binary (Size) [Bytes]

Binary (Type)

Content
2017_SLR_Data_R1 41.2721-70.27292017-02-012017_SLR_Data_R1.gdb.zip317.6 MBytesapplication/zipThis Geographic Information System (GIS) dataset (2017_SLR_Data_R1.gdb.zip) is part of a comprehensive effort designed to facilitate analysis and understanding of sea-level-rise exposure in the United States and outlying territories. The dataset is derived from sea-level-rise projections published in two National Oceanic and Atmospheric Administration (NOAA) technical reports: 1) Global and Regional Sea Level Rise Scenarios for the United States (2017; tidesandcurrents.noaa.gov) and 2) Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean projections and Extreme Water Level Probabilities Along U.S. Coastlines (2022; sealevel.globalchange.gov 2017 report included six scenarios: 0.3, 0.5, 1.0, 1.5, 2.0 and 2.5 meters of global mean sea-level rise; the 2022 report reassessed the projections for the first five scenarios and eliminated the extreme (2.5-m) scenario from consideration based on its very low probability of occurrence. The projections in these reports are provided at approximately decadal time scales and include a year 2000 baseline and the following time horizons: 2010 (2017 dataset only), 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110 (2022 dataset only), 2120, 2130 (2022 dataset only), 2140 (2022 dataset only), 2150, and 2200 (2017 dataset only). GIS visualizations for each of these 149 combinations is available as polygons that show areal extent of mean sea level and rasters that include a water depth component for each pixel at 30-m resolution. Data files are grouped by dataset (2017 or 2022) and geography, with the continental United States divided along regional boundaries used by the US Environmental protection Agency. Median Latitude: 41.272141; Median Longitude: -70.272882; South-bound Latitude: 40.950821; West-bound Longitude: -73.660095; North-bound Latitude: 45.191893; East-bound Longitude: -66.885669
2017_SLR_Data_R2_Carib 17.9593-66.42362017-02-012017_SLR_Data_R2_Carib.gdb.zip114.7 MBytesapplication/zipThis Geographic Information System (GIS) dataset (2017_SLR_Data_R2_Carib.gdb.zip) is part of a comprehensive effort designed to facilitate analysis and understanding of sea-level-rise exposure in the United States and outlying territories. The dataset is derived from sea-level-rise projections published in two National Oceanic and Atmospheric Administration (NOAA) technical reports: 1) Global and Regional Sea Level Rise Scenarios for the United States (2017; tidesandcurrents.noaa.gov) and 2) Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean projections and Extreme Water Level Probabilities Along U.S. Coastlines (2022; sealevel.globalchange.gov). The 2017 report included six scenarios: 0.3, 0.5, 1.0, 1.5, 2.0 and 2.5 meters of global mean sea-level rise; the 2022 report reassessed the projections for the first five scenarios and eliminated the extreme (2.5-m) scenario from consideration based on its very low probability of occurrence. The projections in these reports are provided at approximately decadal time scales and include a year 2000 baseline and the following time horizons: 2010 (2017 dataset only), 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110 (2022 dataset only), 2120, 2130 (2022 dataset only), 2140 (2022 dataset only), 2150, and 2200 (2017 dataset only). GIS visualizations for each of these 149 combinations is available as polygons that show areal extent of mean sea level and rasters that include a water depth component for each pixel at 30-m resolution. Data files are grouped by dataset (2017 or 2022) and geography, with the continental United States divided along regional boundaries used by the US Environmental protection Agency. Median Latitude: 17.959325; Median Longitude: -66.423596; South-bound Latitude: 17.669095; West-bound Longitude: -67.952927; North-bound Latitude: 18.524575; East-bound Longitude: -64.558122
2017_SLR_Data_R2_Cont 40.5600-73.67102017-02-012017_SLR_Data_R2_Cont.gdb.zip447.5 MBytesapplication/zipThis Geographic Information System (GIS) dataset (2017_SLR_Data_R2_Cont.gdb.zip) is part of a comprehensive effort designed to facilitate analysis and understanding of sea-level-rise exposure in the United States and outlying territories. The dataset is derived from sea-level-rise projections published in two National Oceanic and Atmospheric Administration (NOAA) technical reports: 1) Global and Regional Sea Level Rise Scenarios for the United States (2017; tidesandcurrents.noaa.gov) and 2) Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean projections and Extreme Water Level Probabilities Along U.S. Coastlines (2022; sealevel.globalchange.gov). The 2017 report included six scenarios: 0.3, 0.5, 1.0, 1.5, 2.0 and 2.5 meters of global mean sea-level rise; the 2022 report reassessed the projections for the first five scenarios and eliminated the extreme (2.5-m) scenario from consideration based on its very low probability of occurrence. The projections in these reports are provided at approximately decadal time scales and include a year 2000 baseline and the following time horizons: 2010 (2017 dataset only), 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110 (2022 dataset only), 2120, 2130 (2022 dataset only), 2140 (2022 dataset only), 2150, and 2200 (2017 dataset only). GIS visualizations for each of these 149 combinations is available as polygons that show areal extent of mean sea level and rasters that include a water depth component for each pixel at 30-m resolution. Data files are grouped by dataset (2017 or 2022) and geography, with the continental United States divided along regional boundaries used by the US Environmental protection Agency. Median Latitude: 40.559985; Median Longitude: -73.670963; South-bound Latitude: 38.788549; West-bound Longitude: -75.563942; North-bound Latitude: 42.617627; East-bound Longitude: -71.777985
2017_SLR_Data_R3 38.0454-76.07542017-02-012017_SLR_Data_R3.gdb.zip1.2 GBytesapplication/zipThis Geographic Information System (GIS) dataset (2017_SLR_Data_R3.gdb.zip) is part of a comprehensive effort designed to facilitate analysis and understanding of sea-level-rise exposure in the United States and outlying territories. The dataset is derived from sea-level-rise projections published in two National Oceanic and Atmospheric Administration (NOAA) technical reports: 1) Global and Regional Sea Level Rise Scenarios for the United States (2017; tidesandcurrents.noaa.gov) and 2) Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean projections and Extreme Water Level Probabilities Along U.S. Coastlines (2022; sealevel.globalchange.gov). The 2017 report included six scenarios: 0.3, 0.5, 1.0, 1.5, 2.0 and 2.5 meters of global mean sea-level rise; the 2022 report reassessed the projections for the first five scenarios and eliminated the extreme (2.5-m) scenario from consideration based on its very low probability of occurrence. The projections in these reports are provided at approximately decadal time scales and include a year 2000 baseline and the following time horizons: 2010 (2017 dataset only), 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110 (2022 dataset only), 2120, 2130 (2022 dataset only), 2140 (2022 dataset only), 2150, and 2200 (2017 dataset only). GIS visualizations for each of these 149 combinations is available as polygons that show areal extent of mean sea level and rasters that include a water depth component for each pixel at 30-m resolution. Data files are grouped by dataset (2017 or 2022) and geography, with the continental United States divided along regional boundaries used by the US Environmental protection Agency. Median Latitude: 38.045365; Median Longitude: -76.075431; South-bound Latitude: 36.543629; West-bound Longitude: -77.473969; North-bound Latitude: 40.235278; East-bound Longitude: -74.721901
2017_SLR_Data_R4 33.5637-78.97162017-02-012017_SLR_Data_R4.gdb.zip5.4 GBytesapplication/zipThis Geographic Information System (GIS) dataset (2017_SLR_Data_R4.gdb.zip) is part of a comprehensive effort designed to facilitate analysis and understanding of sea-level-rise exposure in the United States and outlying territories. The dataset is derived from sea-level-rise projections published in two National Oceanic and Atmospheric Administration (NOAA) technical reports: 1) Global and Regional Sea Level Rise Scenarios for the United States (2017; tidesandcurrents.noaa.gov) and 2) Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean projections and Extreme Water Level Probabilities Along U.S. Coastlines (2022; sealevel.globalchange.gov). The 2017 report included six scenarios: 0.3, 0.5, 1.0, 1.5, 2.0 and 2.5 meters of global mean sea-level rise; the 2022 report reassessed the projections for the first five scenarios and eliminated the extreme (2.5-m) scenario from consideration based on its very low probability of occurrence. The projections in these reports are provided at approximately decadal time scales and include a year 2000 baseline and the following time horizons: 2010 (2017 dataset only), 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110 (2022 dataset only), 2120, 2130 (2022 dataset only), 2140 (2022 dataset only), 2150, and 2200 (2017 dataset only). GIS visualizations for each of these 149 combinations is available as polygons that show areal extent of mean sea level and rasters that include a water depth component for each pixel at 30-m resolution. Data files are grouped by dataset (2017 or 2022) and geography, with the continental United States divided along regional boundaries used by the US Environmental protection Agency. Median Latitude: 33.563728; Median Longitude: -78.971579; South-bound Latitude: 24.395883; West-bound Longitude: -89.703728; North-bound Latitude: 36.551941; East-bound Longitude: -75.40052
2017_SLR_Data_R6 29.5383-91.03302017-02-012017_SLR_Data_R6.gdb.zip6.2 GBytesapplication/zipThis Geographic Information System (GIS) dataset (2017_SLR_Data_R6.gdb.zip) is part of a comprehensive effort designed to facilitate analysis and understanding of sea-level-rise exposure in the United States and outlying territories. The dataset is derived from sea-level-rise projections published in two National Oceanic and Atmospheric Administration (NOAA) technical reports: 1) Global and Regional Sea Level Rise Scenarios for the United States (2017; tidesandcurrents.noaa.gov) and 2) Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean projections and Extreme Water Level Probabilities Along U.S. Coastlines (2022; sealevel.globalchange.gov). The 2017 report included six scenarios: 0.3, 0.5, 1.0, 1.5, 2.0 and 2.5 meters of global mean sea-level rise; the 2022 report reassessed the projections for the first five scenarios and eliminated the extreme (2.5-m) scenario from consideration based on its very low probability of occurrence. The projections in these reports are provided at approximately decadal time scales and include a year 2000 baseline and the following time horizons: 2010 (2017 dataset only), 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110 (2022 dataset only), 2120, 2130 (2022 dataset only), 2140 (2022 dataset only), 2150, and 2200 (2017 dataset only). GIS visualizations for each of these 149 combinations is available as polygons that show areal extent of mean sea level and rasters that include a water depth component for each pixel at 30-m resolution. Data files are grouped by dataset (2017 or 2022) and geography, with the continental United States divided along regional boundaries used by the US Environmental protection Agency. Median Latitude: 29.538288; Median Longitude: -91.032976; South-bound Latitude: 25.899034; West-bound Longitude: -97.856776; North-bound Latitude: 30.749914; East-bound Longitude: -88.758377
2017_SLR_Data_R9_Cont 37.8554-122.62922017-02-012017_SLR_Data_R9_Cont.gdb.zip357.4 MBytesapplication/zipThis Geographic Information System (GIS) dataset (2017_SLR_Data_R9_Cont.gdb.zip) is part of a comprehensive effort designed to facilitate analysis and understanding of sea-level-rise exposure in the United States and outlying territories. The dataset is derived from sea-level-rise projections published in two National Oceanic and Atmospheric Administration (NOAA) technical reports: 1) Global and Regional Sea Level Rise Scenarios for the United States (2017; tidesandcurrents.noaa.gov) and 2) Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean projections and Extreme Water Level Probabilities Along U.S. Coastlines (2022; sealevel.globalchange.gov). The 2017 report included six scenarios: 0.3, 0.5, 1.0, 1.5, 2.0 and 2.5 meters of global mean sea-level rise; the 2022 report reassessed the projections for the first five scenarios and eliminated the extreme (2.5-m) scenario from consideration based on its very low probability of occurrence. The projections in these reports are provided at approximately decadal time scales and include a year 2000 baseline and the following time horizons: 2010 (2017 dataset only), 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110 (2022 dataset only), 2120, 2130 (2022 dataset only), 2140 (2022 dataset only), 2150, and 2200 (2017 dataset only). GIS visualizations for each of these 149 combinations is available as polygons that show areal extent of mean sea level and rasters that include a water depth component for each pixel at 30-m resolution. Data files are grouped by dataset (2017 or 2022) and geography, with the continental United States divided along regional boundaries used by the US Environmental protection Agency. Median Latitude: 37.85545; Median Longitude: -122.629186; South-bound Latitude: 32.528779; West-bound Longitude: -124.48081; North-bound Latitude: 41.998626; East-bound Longitude: -117.074314
2017_SLR_Data_R9_Guam_NMI 15.1130145.75722017-02-012017_SLR_Data_R9_Guam_NMI.gdb.zip10.1 MBytesapplication/zipThis Geographic Information System (GIS) dataset (2017_SLR_Data_R9_Guam_NMI.gdb.zip) is part of a comprehensive effort designed to facilitate analysis and understanding of sea-level-rise exposure in the United States and outlying territories. The dataset is derived from sea-level-rise projections published in two National Oceanic and Atmospheric Administration (NOAA) technical reports: 1) Global and Regional Sea Level Rise Scenarios for the United States (2017; tidesandcurrents.noaa.gov) and 2) Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean projections and Extreme Water Level Probabilities Along U.S. Coastlines (2022; sealevel.globalchange.gov). The 2017 report included six scenarios: 0.3, 0.5, 1.0, 1.5, 2.0 and 2.5 meters of global mean sea-level rise; the 2022 report reassessed the projections for the first five scenarios and eliminated the extreme (2.5-m) scenario from consideration based on its very low probability of occurrence. The projections in these reports are provided at approximately decadal time scales and include a year 2000 baseline and the following time horizons: 2010 (2017 dataset only), 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110 (2022 dataset only), 2120, 2130 (2022 dataset only), 2140 (2022 dataset only), 2150, and 2200 (2017 dataset only). GIS visualizations for each of these 149 combinations is available as polygons that show areal extent of mean sea level and rasters that include a water depth component for each pixel at 30-m resolution. Data files are grouped by dataset (2017 or 2022) and geography, with the continental United States divided along regional boundaries used by the US Environmental protection Agency. Median Latitude: 15.113031; Median Longitude: 145.757216; South-bound Latitude: 13.230528; West-bound Longitude: 144.614923; North-bound Latitude: 15.296186; East-bound Longitude: 145.834928
2017_SLR_Data_R9_Hawaii 19.1597-155.43412017-02-012017_SLR_Data_R9_Hawaii.gdb.zip61.4 MBytesapplication/zipThis Geographic Information System (GIS) dataset (2017_SLR_Data_R9_Hawaii.gdb.zip) is part of a comprehensive effort designed to facilitate analysis and understanding of sea-level-rise exposure in the United States and outlying territories. The dataset is derived from sea-level-rise projections published in two National Oceanic and Atmospheric Administration (NOAA) technical reports: 1) Global and Regional Sea Level Rise Scenarios for the United States (2017; tidesandcurrents.noaa.gov) and 2) Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean projections and Extreme Water Level Probabilities Along U.S. Coastlines (2022; sealevel.globalchange.gov). The 2017 report included six scenarios: 0.3, 0.5, 1.0, 1.5, 2.0 and 2.5 meters of global mean sea-level rise; the 2022 report reassessed the projections for the first five scenarios and eliminated the extreme (2.5-m) scenario from consideration based on its very low probability of occurrence. The projections in these reports are provided at approximately decadal time scales and include a year 2000 baseline and the following time horizons: 2010 (2017 dataset only), 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110 (2022 dataset only), 2120, 2130 (2022 dataset only), 2140 (2022 dataset only), 2150, and 2200 (2017 dataset only). GIS visualizations for each of these 149 combinations is available as polygons that show areal extent of mean sea level and rasters that include a water depth component for each pixel at 30-m resolution. Data files are grouped by dataset (2017 or 2022) and geography, with the continental United States divided along regional boundaries used by the US Environmental protection Agency. Median Latitude: 19.15975; Median Longitude: -155.434138; South-bound Latitude: 18.903521; West-bound Longitude: -160.552033; North-bound Latitude: 22.239433; East-bound Longitude: -154.799523
2017_SLR_Data_R9_Samoa -14.3725-170.77092017-02-012017_SLR_Data_R9_Samoa.gdb.zip4.5 MBytesapplication/zipThis Geographic Information System (GIS) dataset (2017_SLR_Data_R9_Samoa.gdb.zip) is part of a comprehensive effort designed to facilitate analysis and understanding of sea-level-rise exposure in the United States and outlying territories. The dataset is derived from sea-level-rise projections published in two National Oceanic and Atmospheric Administration (NOAA) technical reports: 1) Global and Regional Sea Level Rise Scenarios for the United States (2017; tidesandcurrents.noaa.gov) and 2) Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean projections and Extreme Water Level Probabilities Along U.S. Coastlines (2022; sealevel.globalchange.gov). The 2017 report included six scenarios: 0.3, 0.5, 1.0, 1.5, 2.0 and 2.5 meters of global mean sea-level rise; the 2022 report reassessed the projections for the first five scenarios and eliminated the extreme (2.5-m) scenario from consideration based on its very low probability of occurrence. The projections in these reports are provided at approximately decadal time scales and include a year 2000 baseline and the following time horizons: 2010 (2017 dataset only), 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110 (2022 dataset only), 2120, 2130 (2022 dataset only), 2140 (2022 dataset only), 2150, and 2200 (2017 dataset only). GIS visualizations for each of these 149 combinations is available as polygons that show areal extent of mean sea level and rasters that include a water depth component for each pixel at 30-m resolution. Data files are grouped by dataset (2017 or 2022) and geography, with the continental United States divided along regional boundaries used by the US Environmental protection Agency. Median Latitude: -14.372467; Median Longitude: -170.77091; South-bound Latitude: -14.385731; West-bound Longitude: -170.84881; North-bound Latitude: -14.154839; East-bound Longitude: -169.410236
2017_SLR_Data_R10_Alaska 56.0551-158.60412017-02-012017_SLR_Data_R10_Alaska.gdb.zip7.8 GBytesapplication/zipThis Geographic Information System (GIS) dataset (2017_SLR_Data_R10_Alaska.gdb.zip) is part of a comprehensive effort designed to facilitate analysis and understanding of sea-level-rise exposure in the United States and outlying territories. The dataset is derived from sea-level-rise projections published in two National Oceanic and Atmospheric Administration (NOAA) technical reports: 1) Global and Regional Sea Level Rise Scenarios for the United States (2017; tidesandcurrents.noaa.gov) and 2) Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean projections and Extreme Water Level Probabilities Along U.S. Coastlines (2022; sealevel.globalchange.gov). The 2017 report included six scenarios: 0.3, 0.5, 1.0, 1.5, 2.0 and 2.5 meters of global mean sea-level rise; the 2022 report reassessed the projections for the first five scenarios and eliminated the extreme (2.5-m) scenario from consideration based on its very low probability of occurrence. The projections in these reports are provided at approximately decadal time scales and include a year 2000 baseline and the following time horizons: 2010 (2017 dataset only), 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110 (2022 dataset only), 2120, 2130 (2022 dataset only), 2140 (2022 dataset only), 2150, and 2200 (2017 dataset only). GIS visualizations for each of these 149 combinations is available as polygons that show areal extent of mean sea level and rasters that include a water depth component for each pixel at 30-m resolution. Data files are grouped by dataset (2017 or 2022) and geography, with the continental United States divided along regional boundaries used by the US Environmental protection Agency. Median Latitude: 56.055103; Median Longitude: -158.604141; South-bound Latitude: 51.206905; West-bound Longitude: 172.44974; North-bound Latitude: 71.372555; East-bound Longitude: -130.000092
2017_SLR_Data_R10_Cont 45.5484-122.69532017-02-012017_SLR_Data_R10_Cont.gdb.zip231.6 MBytesapplication/zipThis Geographic Information System (GIS) dataset (2017_SLR_Data_R10_Cont.gdb.zip) is part of a comprehensive effort designed to facilitate analysis and understanding of sea-level-rise exposure in the United States and outlying territories. The dataset is derived from sea-level-rise projections published in two National Oceanic and Atmospheric Administration (NOAA) technical reports: 1) Global and Regional Sea Level Rise Scenarios for the United States (2017; tidesandcurrents.noaa.gov) and 2) Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean projections and Extreme Water Level Probabilities Along U.S. Coastlines (2022; sealevel.globalchange.gov). The 2017 report included six scenarios: 0.3, 0.5, 1.0, 1.5, 2.0 and 2.5 meters of global mean sea-level rise; the 2022 report reassessed the projections for the first five scenarios and eliminated the extreme (2.5-m) scenario from consideration based on its very low probability of occurrence. The projections in these reports are provided at approximately decadal time scales and include a year 2000 baseline and the following time horizons: 2010 (2017 dataset only), 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110 (2022 dataset only), 2120, 2130 (2022 dataset only), 2140 (2022 dataset only), 2150, and 2200 (2017 dataset only). GIS visualizations for each of these 149 combinations is available as polygons that show areal extent of mean sea level and rasters that include a water depth component for each pixel at 30-m resolution. Data files are grouped by dataset (2017 or 2022) and geography, with the continental United States divided along regional boundaries used by the US Environmental protection Agency. Median Latitude: 45.548449; Median Longitude: -122.695318; South-bound Latitude: 41.998501; West-bound Longitude: -124.847605; North-bound Latitude: 49.002492; East-bound Longitude: -121.977888
2022_SLR_Data_R1 41.2721-70.27292022-02-012022_SLR_Data_R1.gdb.zip222.5 MBytesapplication/zipThis Geographic Information System (GIS) dataset (2022_SLR_Data_R1.gdb.zip) is part of a comprehensive effort designed to facilitate analysis and understanding of sea-level-rise exposure in the United States and outlying territories. The dataset is derived from sea-level-rise projections published in two National Oceanic and Atmospheric Administration (NOAA) technical reports: 1) Global and Regional Sea Level Rise Scenarios for the United States (2017; tidesandcurrents.noaa.gov) and 2) Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean projections and Extreme Water Level Probabilities Along U.S. Coastlines (2022; sealevel.globalchange.gov). The 2017 report included six scenarios: 0.3, 0.5, 1.0, 1.5, 2.0 and 2.5 meters of global mean sea-level rise; the 2022 report reassessed the projections for the first five scenarios and eliminated the extreme (2.5-m) scenario from consideration based on its very low probability of occurrence. The projections in these reports are provided at approximately decadal time scales and include a year 2000 baseline and the following time horizons: 2010 (2017 dataset only), 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110 (2022 dataset only), 2120, 2130 (2022 dataset only), 2140 (2022 dataset only), 2150, and 2200 (2017 dataset only). GIS visualizations for each of these 149 combinations is available as polygons that show areal extent of mean sea level and rasters that include a water depth component for each pixel at 30-m resolution. Data files are grouped by dataset (2017 or 2022) and geography, with the continental United States divided along regional boundaries used by the US Environmental protection Agency. Median Latitude: 41.272141; Median Longitude: -70.272882; South-bound Latitude: 40.950821; West-bound Longitude: -73.660095; North-bound Latitude: 45.191893; East-bound Longitude: -66.885669
2022_SLR_Data_R2_Carib 17.9593-66.42362022-02-012022_SLR_Data_R2_Carib.gdb.zip87.7 MBytesapplication/zipThis Geographic Information System (GIS) dataset (2022_SLR_Data_R2_Carib.gdb.zip) is part of a comprehensive effort designed to facilitate analysis and understanding of sea-level-rise exposure in the United States and outlying territories. The dataset is derived from sea-level-rise projections published in two National Oceanic and Atmospheric Administration (NOAA) technical reports: 1) Global and Regional Sea Level Rise Scenarios for the United States (2017; tidesandcurrents.noaa.gov) and 2) Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean projections and Extreme Water Level Probabilities Along U.S. Coastlines (2022; sealevel.globalchange.gov). The 2017 report included six scenarios: 0.3, 0.5, 1.0, 1.5, 2.0 and 2.5 meters of global mean sea-level rise; the 2022 report reassessed the projections for the first five scenarios and eliminated the extreme (2.5-m) scenario from consideration based on its very low probability of occurrence. The projections in these reports are provided at approximately decadal time scales and include a year 2000 baseline and the following time horizons: 2010 (2017 dataset only), 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110 (2022 dataset only), 2120, 2130 (2022 dataset only), 2140 (2022 dataset only), 2150, and 2200 (2017 dataset only). GIS visualizations for each of these 149 combinations is available as polygons that show areal extent of mean sea level and rasters that include a water depth component for each pixel at 30-m resolution. Data files are grouped by dataset (2017 or 2022) and geography, with the continental United States divided along regional boundaries used by the US Environmental protection Agency. Median Latitude: 17.959325; Median Longitude: -66.423596; South-bound Latitude: 17.669095; West-bound Longitude: -67.952927; North-bound Latitude: 18.524575; East-bound Longitude: -64.558122
2022_SLR_Data_R2_Cont 40.5600-73.67102022-02-012022_SLR_Data_R2_Cont.gdb.zip335 MBytesapplication/zipThis Geographic Information System (GIS) dataset (2022_SLR_Data_R2_Cont.gdb.zip) is part of a comprehensive effort designed to facilitate analysis and understanding of sea-level-rise exposure in the United States and outlying territories. The dataset is derived from sea-level-rise projections published in two National Oceanic and Atmospheric Administration (NOAA) technical reports: 1) Global and Regional Sea Level Rise Scenarios for the United States (2017; tidesandcurrents.noaa.gov) and 2) Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean projections and Extreme Water Level Probabilities Along U.S. Coastlines (2022; sealevel.globalchange.gov). The 2017 report included six scenarios: 0.3, 0.5, 1.0, 1.5, 2.0 and 2.5 meters of global mean sea-level rise; the 2022 report reassessed the projections for the first five scenarios and eliminated the extreme (2.5-m) scenario from consideration based on its very low probability of occurrence. The projections in these reports are provided at approximately decadal time scales and include a year 2000 baseline and the following time horizons: 2010 (2017 dataset only), 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110 (2022 dataset only), 2120, 2130 (2022 dataset only), 2140 (2022 dataset only), 2150, and 2200 (2017 dataset only). GIS visualizations for each of these 149 combinations is available as polygons that show areal extent of mean sea level and rasters that include a water depth component for each pixel at 30-m resolution. Data files are grouped by dataset (2017 or 2022) and geography, with the continental United States divided along regional boundaries used by the US Environmental protection Agency. Median Latitude: 40.559985; Median Longitude: -73.670963; South-bound Latitude: 38.788549; West-bound Longitude: -75.563942; North-bound Latitude: 42.617627; East-bound Longitude: -71.777985
2022_SLR_Data_R3 38.0454-76.07542022-02-012022_SLR_Data_R3.gdb.zip925.9 MBytesapplication/zipThis Geographic Information System (GIS) dataset (2022_SLR_Data_R3.gdb.zip) is part of a comprehensive effort designed to facilitate analysis and understanding of sea-level-rise exposure in the United States and outlying territories. The dataset is derived from sea-level-rise projections published in two National Oceanic and Atmospheric Administration (NOAA) technical reports: 1) Global and Regional Sea Level Rise Scenarios for the United States (2017; tidesandcurrents.noaa.gov) and 2) Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean projections and Extreme Water Level Probabilities Along U.S. Coastlines (2022; sealevel.globalchange.gov). The 2017 report included six scenarios: 0.3, 0.5, 1.0, 1.5, 2.0 and 2.5 meters of global mean sea-level rise; the 2022 report reassessed the projections for the first five scenarios and eliminated the extreme (2.5-m) scenario from consideration based on its very low probability of occurrence. The projections in these reports are provided at approximately decadal time scales and include a year 2000 baseline and the following time horizons: 2010 (2017 dataset only), 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110 (2022 dataset only), 2120, 2130 (2022 dataset only), 2140 (2022 dataset only), 2150, and 2200 (2017 dataset only). GIS visualizations for each of these 149 combinations is available as polygons that show areal extent of mean sea level and rasters that include a water depth component for each pixel at 30-m resolution. Data files are grouped by dataset (2017 or 2022) and geography, with the continental United States divided along regional boundaries used by the US Environmental protection Agency. Median Latitude: 38.045365; Median Longitude: -76.075431; South-bound Latitude: 36.543629; West-bound Longitude: -77.473969; North-bound Latitude: 40.235278; East-bound Longitude: -74.721901
2022_SLR_Data_R4 33.5637-78.97162022-02-012022_SLR_Data_R4.gdb.zip4 GBytesapplication/zipThis Geographic Information System (GIS) dataset (2022_SLR_Data_R4.gdb.zip) is part of a comprehensive effort designed to facilitate analysis and understanding of sea-level-rise exposure in the United States and outlying territories. The dataset is derived from sea-level-rise projections published in two National Oceanic and Atmospheric Administration (NOAA) technical reports: 1) Global and Regional Sea Level Rise Scenarios for the United States (2017; tidesandcurrents.noaa.gov) and 2) Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean projections and Extreme Water Level Probabilities Along U.S. Coastlines (2022; sealevel.globalchange.gov). The 2017 report included six scenarios: 0.3, 0.5, 1.0, 1.5, 2.0 and 2.5 meters of global mean sea-level rise; the 2022 report reassessed the projections for the first five scenarios and eliminated the extreme (2.5-m) scenario from consideration based on its very low probability of occurrence. The projections in these reports are provided at approximately decadal time scales and include a year 2000 baseline and the following time horizons: 2010 (2017 dataset only), 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110 (2022 dataset only), 2120, 2130 (2022 dataset only), 2140 (2022 dataset only), 2150, and 2200 (2017 dataset only). GIS visualizations for each of these 149 combinations is available as polygons that show areal extent of mean sea level and rasters that include a water depth component for each pixel at 30-m resolution. Data files are grouped by dataset (2017 or 2022) and geography, with the continental United States divided along regional boundaries used by the US Environmental protection Agency. Median Latitude: 33.563728; Median Longitude: -78.971579; South-bound Latitude: 24.395883; West-bound Longitude: -89.703728; North-bound Latitude: 36.551941; East-bound Longitude: -75.40052
2022_SLR_Data_R6 29.5383-91.03302022-02-012022_SLR_Data_R6.gdb.zip5.3 GBytesapplication/zipThis Geographic Information System (GIS) dataset (2022_SLR_Data_R6.gdb.zip) is part of a comprehensive effort designed to facilitate analysis and understanding of sea-level-rise exposure in the United States and outlying territories. The dataset is derived from sea-level-rise projections published in two National Oceanic and Atmospheric Administration (NOAA) technical reports: 1) Global and Regional Sea Level Rise Scenarios for the United States (2017; tidesandcurrents.noaa.gov) and 2) Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean projections and Extreme Water Level Probabilities Along U.S. Coastlines (2022; sealevel.globalchange.gov). The 2017 report included six scenarios: 0.3, 0.5, 1.0, 1.5, 2.0 and 2.5 meters of global mean sea-level rise; the 2022 report reassessed the projections for the first five scenarios and eliminated the extreme (2.5-m) scenario from consideration based on its very low probability of occurrence. The projections in these reports are provided at approximately decadal time scales and include a year 2000 baseline and the following time horizons: 2010 (2017 dataset only), 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110 (2022 dataset only), 2120, 2130 (2022 dataset only), 2140 (2022 dataset only), 2150, and 2200 (2017 dataset only). GIS visualizations for each of these 149 combinations is available as polygons that show areal extent of mean sea level and rasters that include a water depth component for each pixel at 30-m resolution. Data files are grouped by dataset (2017 or 2022) and geography, with the continental United States divided along regional boundaries used by the US Environmental protection Agency. Median Latitude: 29.538288; Median Longitude: -91.032976; South-bound Latitude: 25.899034; West-bound Longitude: -97.856776; North-bound Latitude: 30.749914; East-bound Longitude: -88.758377
2022_SLR_Data_R9_Cont 37.8554-122.62922022-02-012022_SLR_Data_R9_Cont.gdb.zip261 MBytesapplication/zipThis Geographic Information System (GIS) dataset (2022_SLR_Data_R9_Cont.gdb.zip) is part of a comprehensive effort designed to facilitate analysis and understanding of sea-level-rise exposure in the United States and outlying territories. The dataset is derived from sea-level-rise projections published in two National Oceanic and Atmospheric Administration (NOAA) technical reports: 1) Global and Regional Sea Level Rise Scenarios for the United States (2017; tidesandcurrents.noaa.gov) and 2) Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean projections and Extreme Water Level Probabilities Along U.S. Coastlines (2022; sealevel.globalchange.gov). The 2017 report included six scenarios: 0.3, 0.5, 1.0, 1.5, 2.0 and 2.5 meters of global mean sea-level rise; the 2022 report reassessed the projections for the first five scenarios and eliminated the extreme (2.5-m) scenario from consideration based on its very low probability of occurrence. The projections in these reports are provided at approximately decadal time scales and include a year 2000 baseline and the following time horizons: 2010 (2017 dataset only), 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110 (2022 dataset only), 2120, 2130 (2022 dataset only), 2140 (2022 dataset only), 2150, and 2200 (2017 dataset only). GIS visualizations for each of these 149 combinations is available as polygons that show areal extent of mean sea level and rasters that include a water depth component for each pixel at 30-m resolution. Data files are grouped by dataset (2017 or 2022) and geography, with the continental United States divided along regional boundaries used by the US Environmental protection Agency. Median Latitude: 37.85545; Median Longitude: -122.629186; South-bound Latitude: 32.528779; West-bound Longitude: -124.48081; North-bound Latitude: 41.998626; East-bound Longitude: -117.074314
2022_SLR_Data_R9_Guam_NMI 15.1130145.75722022-02-012022_SLR_Data_R9_Guam_NMI.gdb.zip5.2 MBytesapplication/zipThis Geographic Information System (GIS) dataset (2022_SLR_Data_R9_Guam_NMI.gdb.zip) is part of a comprehensive effort designed to facilitate analysis and understanding of sea-level-rise exposure in the United States and outlying territories. The dataset is derived from sea-level-rise projections published in two National Oceanic and Atmospheric Administration (NOAA) technical reports: 1) Global and Regional Sea Level Rise Scenarios for the United States (2017; tidesandcurrents.noaa.gov) and 2) Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean projections and Extreme Water Level Probabilities Along U.S. Coastlines (2022; sealevel.globalchange.gov). The 2017 report included six scenarios: 0.3, 0.5, 1.0, 1.5, 2.0 and 2.5 meters of global mean sea-level rise; the 2022 report reassessed the projections for the first five scenarios and eliminated the extreme (2.5-m) scenario from consideration based on its very low probability of occurrence. The projections in these reports are provided at approximately decadal time scales and include a year 2000 baseline and the following time horizons: 2010 (2017 dataset only), 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110 (2022 dataset only), 2120, 2130 (2022 dataset only), 2140 (2022 dataset only), 2150, and 2200 (2017 dataset only). GIS visualizations for each of these 149 combinations is available as polygons that show areal extent of mean sea level and rasters that include a water depth component for each pixel at 30-m resolution. Data files are grouped by dataset (2017 or 2022) and geography, with the continental United States divided along regional boundaries used by the US Environmental protection Agency. Median Latitude: 15.113031; Median Longitude: 145.757216; South-bound Latitude: 13.230528; West-bound Longitude: 144.614923; North-bound Latitude: 15.296186; East-bound Longitude: 145.834928
2022_SLR_Data_R9_Hawaii 19.1597-155.43412022-02-012022_SLR_Data_R9_Hawaii.gdb.zip57.1 MBytesapplication/zipThis Geographic Information System (GIS) dataset (2022_SLR_Data_R9_Hawaii.gdb.zip) is part of a comprehensive effort designed to facilitate analysis and understanding of sea-level-rise exposure in the United States and outlying territories. The dataset is derived from sea-level-rise projections published in two National Oceanic and Atmospheric Administration (NOAA) technical reports: 1) Global and Regional Sea Level Rise Scenarios for the United States (2017; tidesandcurrents.noaa.gov) and 2) Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean projections and Extreme Water Level Probabilities Along U.S. Coastlines (2022; sealevel.globalchange.gov). The 2017 report included six scenarios: 0.3, 0.5, 1.0, 1.5, 2.0 and 2.5 meters of global mean sea-level rise; the 2022 report reassessed the projections for the first five scenarios and eliminated the extreme (2.5-m) scenario from consideration based on its very low probability of occurrence. The projections in these reports are provided at approximately decadal time scales and include a year 2000 baseline and the following time horizons: 2010 (2017 dataset only), 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110 (2022 dataset only), 2120, 2130 (2022 dataset only), 2140 (2022 dataset only), 2150, and 2200 (2017 dataset only). GIS visualizations for each of these 149 combinations is available as polygons that show areal extent of mean sea level and rasters that include a water depth component for each pixel at 30-m resolution. Data files are grouped by dataset (2017 or 2022) and geography, with the continental United States divided along regional boundaries used by the US Environmental protection Agency. Median Latitude: 19.15975; Median Longitude: -155.434138; South-bound Latitude: 18.903521; West-bound Longitude: -160.552033; North-bound Latitude: 22.239433; East-bound Longitude: -154.799523
2022_SLR_Data_R9_Samoa -14.3725-170.77092022-02-012022_SLR_Data_R9_Samoa.gdb.zip4 MBytesapplication/zipThis Geographic Information System (GIS) dataset (2022_SLR_Data_R9_Samoa.gdb.zip) is part of a comprehensive effort designed to facilitate analysis and understanding of sea-level-rise exposure in the United States and outlying territories. The dataset is derived from sea-level-rise projections published in two National Oceanic and Atmospheric Administration (NOAA) technical reports: 1) Global and Regional Sea Level Rise Scenarios for the United States (2017; tidesandcurrents.noaa.gov) and 2) Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean projections and Extreme Water Level Probabilities Along U.S. Coastlines (2022; sealevel.globalchange.gov). The 2017 report included six scenarios: 0.3, 0.5, 1.0, 1.5, 2.0 and 2.5 meters of global mean sea-level rise; the 2022 report reassessed the projections for the first five scenarios and eliminated the extreme (2.5-m) scenario from consideration based on its very low probability of occurrence. The projections in these reports are provided at approximately decadal time scales and include a year 2000 baseline and the following time horizons: 2010 (2017 dataset only), 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110 (2022 dataset only), 2120, 2130 (2022 dataset only), 2140 (2022 dataset only), 2150, and 2200 (2017 dataset only). GIS visualizations for each of these 149 combinations is available as polygons that show areal extent of mean sea level and rasters that include a water depth component for each pixel at 30-m resolution. Data files are grouped by dataset (2017 or 2022) and geography, with the continental United States divided along regional boundaries used by the US Environmental protection Agency. Median Latitude: -14.372467; Median Longitude: -170.77091; South-bound Latitude: -14.385731; West-bound Longitude: -170.84881; North-bound Latitude: -14.154839; East-bound Longitude: -169.410236
2022_SLR_Data_R10_Alaska 56.0551-158.60412022-02-012022_SLR_Data_R10_Alaska.gdb.zip6.2 GBytesapplication/zipThis Geographic Information System (GIS) dataset (2022_SLR_Data_R10_Alaska.gdb.zip) is part of a comprehensive effort designed to facilitate analysis and understanding of sea-level-rise exposure in the United States and outlying territories. The dataset is derived from sea-level-rise projections published in two National Oceanic and Atmospheric Administration (NOAA) technical reports: 1) Global and Regional Sea Level Rise Scenarios for the United States (2017; tidesandcurrents.noaa.gov) and 2) Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean projections and Extreme Water Level Probabilities Along U.S. Coastlines (2022; sealevel.globalchange.gov). The 2017 report included six scenarios: 0.3, 0.5, 1.0, 1.5, 2.0 and 2.5 meters of global mean sea-level rise; the 2022 report reassessed the projections for the first five scenarios and eliminated the extreme (2.5-m) scenario from consideration based on its very low probability of occurrence. The projections in these reports are provided at approximately decadal time scales and include a year 2000 baseline and the following time horizons: 2010 (2017 dataset only), 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110 (2022 dataset only), 2120, 2130 (2022 dataset only), 2140 (2022 dataset only), 2150, and 2200 (2017 dataset only). GIS visualizations for each of these 149 combinations is available as polygons that show areal extent of mean sea level and rasters that include a water depth component for each pixel at 30-m resolution. Data files are grouped by dataset (2017 or 2022) and geography, with the continental United States divided along regional boundaries used by the US Environmental protection Agency. Median Latitude: 56.055103; Median Longitude: -158.604141; South-bound Latitude: 51.206905; West-bound Longitude: 172.44974; North-bound Latitude: 71.372555; East-bound Longitude: -130.000092
2022_SLR_Data_R10_Cont 45.5484-122.69532022-02-012022_SLR_Data_R10_Cont.gdb.zip159.2 MBytesapplication/zipThis Geographic Information System (GIS) dataset (2022_SLR_Data_R10_Cont.gdb.zip) is part of a comprehensive effort designed to facilitate analysis and understanding of sea-level-rise exposure in the United States and outlying territories. The dataset is derived from sea-level-rise projections published in two National Oceanic and Atmospheric Administration (NOAA) technical reports: 1) Global and Regional Sea Level Rise Scenarios for the United States (2017; tidesandcurrents.noaa.gov) and 2) Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean projections and Extreme Water Level Probabilities Along U.S. Coastlines (2022; sealevel.globalchange.gov). The 2017 report included six scenarios: 0.3, 0.5, 1.0, 1.5, 2.0 and 2.5 meters of global mean sea-level rise; the 2022 report reassessed the projections for the first five scenarios and eliminated the extreme (2.5-m) scenario from consideration based on its very low probability of occurrence. The projections in these reports are provided at approximately decadal time scales and include a year 2000 baseline and the following time horizons: 2010 (2017 dataset only), 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110 (2022 dataset only), 2120, 2130 (2022 dataset only), 2140 (2022 dataset only), 2150, and 2200 (2017 dataset only). GIS visualizations for each of these 149 combinations is available as polygons that show areal extent of mean sea level and rasters that include a water depth component for each pixel at 30-m resolution. Data files are grouped by dataset (2017 or 2022) and geography, with the continental United States divided along regional boundaries used by the US Environmental protection Agency. Median Latitude: 45.548449; Median Longitude: -122.695318; South-bound Latitude: 41.998501; West-bound Longitude: -124.847605; North-bound Latitude: 49.002492; East-bound Longitude: -121.977888