AndreaBozzo/ceres-open-data-index huggingface dataset:
Sea Level Rise: American Samoa: High-Tide Flooding: 2060 Intermediate-High Scenario

This high-tide flooding layer provides a prediction of future sea level rise (SLR) inundation and was produced using a passive flooding model, often referred to as a "bathtub" model. It provides an assessment of flooded areas according to a specific water level. These water levels are determined using projections from the U.S. Interagency Task Force (ITF) (Sweet et al., 2022) in combination with land subsidence projections modeled by Han et al. (2019). The latter is included only for Tutuila, Aunuu, and Manua Islands (Ofu, Olosega, and Tau). In contrast, SLR projections for Swains Island and Rose Atoll only include the climate-related processes (ITF). The projections are modeled following both scenarios and time. The five scenarios range from low to high depending on the amount of greenhouse gases emissions, while time is divided by decade from 2030 to 2100.

We apply this model to the 2022 National Geodetic Survey (NGS) lidar DEM for American Samoa with 1-meter resolution. The DEM was leveled from NAD83 (PA11) to mean sea level at 0 m (MSL=0) in 2005. The adjustment of the DEM may lead to inaccuracies due to the lack of historic information. It is also important to acknowledge that any inaccuracies in the DEM will lead to inaccuracies in the flooding estimates.

In the 2060 intermediate-high scenario represented here, the modeled water level is 80 cm (45 cm for Rose and Swains). In this scenario, world-wide society continues to increase emissions rate. Tipping points, i.e. large and sudden changes, are triggered; ice loss increases rapidly but is not catastrophic. It is recommended using this scenario for planning construction of infrastructure with medium-to-high critical use and longer lifespans, such as a new government office.

Flood depth is provided in centimeters above the 2005 mean higher high water (MHHW) tide level.

It is essential to emphasize that the passive flooding model used to produce this data layer does not include the effects of waves on flooding. As a result, the extent and impacts of future flooding under high-wave conditions are not represented, which should be accounted for in planning efforts. In addition, the DEM is assumed to be unchanged as sea level rises, but in fact there will be erosion and changes in the shape of the land surface, and continued subsidence. This also must be considered, and it is best practice to consider any flooding extent or depth represented in this data layer as a best-case scenario, with the effects of dynamic shoreline processes leading to greater flood extent and depth than presented.

Tags: american samoa, atmospheric/ocean indicators, aunuu, climate indicators, coastal processes, earth science, environmental impacts, floods, human dimensions, inundation, manua, natural hazards, ocean, oceans, ofu, olosega, pacific islands ocean observing system, pacific ocean, pacioos, polynesia, rose atoll, sea level rise, south pacific ocean, swains, tau, tutuila
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coral Favorability: Overall Environmental Conditions: Worst Case Emissions - American Samoa

The overall condition of the environment is a combination of managed and non-managed factors. While it is difficult for managers to prevent coral bleaching events, reefs experiencing fewer stressors may recover more quickly than reefs that were highly stressed at the time of bleaching. The scores for managed (see layer "as_usgs_tutma_coralscore_mgt") and non-managed conditions (see layer "as_usgs_tutma_coralscore_nonmgt_rcp85") were averaged to produce an overall environmental favorability score. This layer represents a relative score for how favorable overall conditions are for coral growth and survival from a scale of 0 (worst) to 1 (best) in the future climate scenario for a worst case emissions scenario (Representative Concentration Pathway 8.5), in which no action is taken to reduce global greenhouse gas emissions. These data are provided as a raster with a resolution of 500 m for American Samoa, including Tutuila and the Manua Islands (Ofu, Olosega, and Tau).

Tags: american samoa, aquatic ecosystems, biosphere, coastal areas, coastal processes, conservation, coral reef, coral reef assessment, coral reefs, coupled climate models, earth science, earth science services, ecosystems, environmental governance/management, environmental impacts, environmental sustainability, human dimensions, human settlements, manua, marine ecosystems, models, ocean, oceans, ofu, olosega, pacific islands ocean observing system, pacific ocean, pacioos, polynesia, reef, reef habitat, south pacific ocean, sustainability, tau, tutuila
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Shoreline - Hawaii

Coastlines for the main Hawaiian islands.

Source: USGS Digital Line Graphs, 1983 version.		

History: Extracted by OSP staff from the 1983 1:24,000 USGS Digital Line Graphs.

Tags: boundaries, central pacific ocean, coastal landforms, coastal processes, continent, earth science, gemorphic landforms/processes, hawaii, hawaiian islands, human dimensions, north america, ocean, oceans, pacific islands ocean observing system, pacific ocean, pacioos, shorelines, solid earth, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Sea Level Rise: American Samoa: High-Tide Flooding: 2070 Intermediate-Low Scenario

This high-tide flooding layer provides a prediction of future sea level rise (SLR) inundation and was produced using a passive flooding model, often referred to as a "bathtub" model. It provides an assessment of flooded areas according to a specific water level. These water levels are determined using projections from the U.S. Interagency Task Force (ITF) (Sweet et al., 2022) in combination with land subsidence projections modeled by Han et al. (2019). The latter is included only for Tutuila, Aunuu, and Manua Islands (Ofu, Olosega, and Tau). In contrast, SLR projections for Swains Island and Rose Atoll only include the climate-related processes (ITF). The projections are modeled following both scenarios and time. The five scenarios range from low to high depending on the amount of greenhouse gases emissions, while time is divided by decade from 2030 to 2100.

We apply this model to the 2022 National Geodetic Survey (NGS) lidar DEM for American Samoa with 1-meter resolution. The DEM was leveled from NAD83 (PA11) to mean sea level at 0 m (MSL=0) in 2005. The adjustment of the DEM may lead to inaccuracies due to the lack of historic information. It is also important to acknowledge that any inaccuracies in the DEM will lead to inaccuracies in the flooding estimates.

In the 2070 intermediate-low scenario represented here, the modeled water level is 63 cm (27 cm for Rose and Swains). In this scenario, world-wide society limits increase of emissions, and sea level rises without reaching any tipping points, i.e. large and sudden changes such as a rapid increase in ice sheets melting. It is recommended to use this scenario only for planning construction of non-critical infrastructure that owners can afford to lose, such as a beach "fale".

Flood depth is provided in centimeters above the 2005 mean higher high water (MHHW) tide level.

It is essential to emphasize that the passive flooding model used to produce this data layer does not include the effects of waves on flooding. As a result, the extent and impacts of future flooding under high-wave conditions are not represented, which should be accounted for in planning efforts. In addition, the DEM is assumed to be unchanged as sea level rises, but in fact there will be erosion and changes in the shape of the land surface, and continued subsidence. This also must be considered, and it is best practice to consider any flooding extent or depth represented in this data layer as a best-case scenario, with the effects of dynamic shoreline processes leading to greater flood extent and depth than presented.

Tags: american samoa, atmospheric/ocean indicators, aunuu, climate indicators, coastal processes, earth science, environmental impacts, floods, human dimensions, inundation, manua, natural hazards, ocean, oceans, ofu, olosega, pacific islands ocean observing system, pacific ocean, pacioos, polynesia, rose atoll, sea level rise, south pacific ocean, swains, tau, tutuila
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Sea Level Rise: American Samoa: High-Tide Flooding: 2040 Low Scenario

This high-tide flooding layer provides a prediction of future sea level rise (SLR) inundation and was produced using a passive flooding model, often referred to as a "bathtub" model. It provides an assessment of flooded areas according to a specific water level. These water levels are determined using projections from the U.S. Interagency Task Force (ITF) (Sweet et al., 2022) in combination with land subsidence projections modeled by Han et al. (2019). The latter is included only for Tutuila, Aunuu, and Manua Islands (Ofu, Olosega, and Tau). In contrast, SLR projections for Swains Island and Rose Atoll only include the climate-related processes (ITF). The projections are modeled following both scenarios and time. The five scenarios range from low to high depending on the amount of greenhouse gases emissions, while time is divided by decade from 2030 to 2100.

We apply this model to the 2022 National Geodetic Survey (NGS) lidar DEM for American Samoa with 1-meter resolution. The DEM was leveled from NAD83 (PA11) to mean sea level at 0 m (MSL=0) in 2005. The adjustment of the DEM may lead to inaccuracies due to the lack of historic information. It is also important to acknowledge that any inaccuracies in the DEM will lead to inaccuracies in the flooding estimates.

In the 2040 low scenario represented here, the modeled water level is 38 cm (7 cm for Rose and Swains). In this scenario, significant world-wide emissions reductions are implemented now, which is highly unlikely. It is not recommended to use this scenario for planning purposes.

Flood depth is provided in centimeters above the 2005 mean higher high water (MHHW) tide level.

It is essential to emphasize that the passive flooding model used to produce this data layer does not include the effects of waves on flooding. As a result, the extent and impacts of future flooding under high-wave conditions are not represented, which should be accounted for in planning efforts. In addition, the DEM is assumed to be unchanged as sea level rises, but in fact there will be erosion and changes in the shape of the land surface, and continued subsidence. This also must be considered, and it is best practice to consider any flooding extent or depth represented in this data layer as a best-case scenario, with the effects of dynamic shoreline processes leading to greater flood extent and depth than presented.

Tags: american samoa, atmospheric/ocean indicators, aunuu, climate indicators, coastal processes, earth science, environmental impacts, floods, human dimensions, inundation, manua, natural hazards, ocean, oceans, ofu, olosega, pacific islands ocean observing system, pacific ocean, pacioos, polynesia, rose atoll, sea level rise, south pacific ocean, swains, tau, tutuila
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Village Boundaries - Manua, American Samoa

Village boundaries of Manu'a, American Samoa: Ofu, Olosega and Ta'u.

Tags: administrative divisions, american samoa, boundaries, earth science, human dimensions, manua, ocean, ofu, olosega, pacific islands ocean observing system, pacific ocean, pacioos, political divisions, polynesia, south pacific ocean, tau
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coral Favorability: Non-Managed Conditions: Worst Case Emissions - Guam

Many aspects of the environment are outside the control of local or regional resource managers. These conditions may require concerted global action to affect change (e.g., water temperatures) or cannot be controlled at all (e.g., wave power). This layer synthesized spatial information for several non-managed conditions to create a relative score for how favorable a given location is for coral growth and survival.

Environmental conditions contributing to this layer included: marine calcite concentration (a proxy for ocean acidification), irradiance (photosynthetically available radiation, or PAR), thermal stress (annual severe bleaching threshold), wave power (per meter of wave front), and proximity to soils eroded by sea level rise.

Projections exist for how some of these conditions may change over the next century based on the trajectory of global greenhouse gas emissions. This project explored how the relative favorability of non-managed conditions could change between the present climate scenario and the rest of the 21st century. This layer represents the future climate scenario for a worst case emissions scenario (Representative Concentration Pathway 8.5), in which no action is taken to reduce global greenhouse gas emissions.

Covariation in these conditions was accounted for using principal component analysis (PCA) to form composite variables of conditions that have strong relationships with one another. The resulting principal components were averaged and scaled from 0 (worst) to 1 (best) to produce the coral favorability score for non-managed conditions. These data are provided for the island of Guam as a raster with a resolution of 1500 m.

Tags: aquatic ecosystems, biosphere, coastal areas, coastal processes, conservation, coral reef, coral reef assessment, coral reefs, coupled climate models, earth science, earth science services, ecosystems, environmental impacts, environmental sustainability, guam, human dimensions, human settlements, marine ecosystems, micronesia, models, ocean, oceans, pacific islands ocean observing system, pacific ocean, pacioos, reef, reef habitat, sustainability, western pacific ocean
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coral Favorability: Non-Managed Conditions: Intermediate Emissions - Guam

Many aspects of the environment are outside the control of local or regional resource managers. These conditions may require concerted global action to affect change (e.g., water temperatures) or cannot be controlled at all (e.g., wave power). This layer synthesized spatial information for several non-managed conditions to create a relative score for how favorable a given location is for coral growth and survival.

Environmental conditions contributing to this layer included: marine calcite concentration (a proxy for ocean acidification), irradiance (photosynthetically available radiation, or PAR), thermal stress (annual severe bleaching threshold), wave power (per meter of wave front), and proximity to soils eroded by sea level rise.

Projections exist for how some of these conditions may change over the next century based on the trajectory of global greenhouse gas emissions. This project explored how the relative favorability of non-managed conditions could change between the present climate scenario and the rest of the 21st century. This layer represents the future climate scenario for an intermediate emissions scenario (Representative Concentration Pathway 4.5), in which global greenhouse gas emissions peak mid-century and then begin to fall.

Covariation in these conditions was accounted for using principal component analysis (PCA) to form composite variables of conditions that have strong relationships with one another. The resulting principal components were averaged and scaled from 0 (worst) to 1 (best) to produce the coral favorability score for non-managed conditions. These data are provided for the island of Guam as a raster with a resolution of 1500 m.

Tags: aquatic ecosystems, biosphere, coastal areas, coastal processes, conservation, coral reef, coral reef assessment, coral reefs, coupled climate models, earth science, earth science services, ecosystems, environmental impacts, environmental sustainability, guam, human dimensions, human settlements, marine ecosystems, micronesia, models, ocean, oceans, pacific islands ocean observing system, pacific ocean, pacioos, reef, reef habitat, sustainability, western pacific ocean
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coral Resilience By NOAA NCRMP Sector - Guam

Records of coral cover from the recent past can inform management strategies for reef restoration and protection. When combined with data on where current or future environmental conditions are most favorable, we can learn where corals are thriving because of or in spite of a healthy marine environment. The National Oceanic and Atmospheric Administration (NOAA) regularly surveys the health of coral reefs in the Pacific Islands as part of the National Coral Reef Monitoring Program (NCRMP). Divers record coral cover at a series of sites across different reef zones and depths. These surveys are then aggregated across spatial sectors, which divide the waters around the island into ecological units useful for management and monitoring.

Resilience can be defined as the ability of a system to resist change during a disturbance or as the ability to recover quickly after a disturbance-induced change. This project analyzed trends in coral cover from the NCRMP from 2009 to 2018 to identify sectors that demonstrated either of these criteria for resilience. Coral sectors that maintained stable coral cover at relatively high levels were considered highly resilient. Sectors that demonstrated relatively rapid increases in coral cover over time were considered moderately resilient, and sectors that lost coral cover were considered to have low resilience. This project examined how the spatial distribution of highly resilient sectors related to areas with high environmental favorability.

This layer represents geospatial polygons of the NCRMP coral sectors divided into three categories: high, moderate, and low coral resilience.

Tags: aquatic ecosystems, biosphere, coastal areas, coastal processes, conservation, coral reef, coral reef assessment, coral reefs, earth science, ecosystems, environmental impacts, environmental sustainability, guam, human dimensions, human settlements, marine ecosystems, micronesia, ocean, oceans, pacific islands ocean observing system, pacific ocean, pacioos, reef, reef habitat, sustainability, western pacific ocean
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coral Favorability: Non-Managed Conditions: Present - Guam

Many aspects of the environment are outside the control of local or regional resource managers. These conditions may require concerted global action to affect change (e.g., water temperatures) or cannot be controlled at all (e.g., wave power). This layer synthesized spatial information for several non-managed conditions to create a relative score for how favorable a given location is for coral growth and survival.

Present-day environmental conditions contributing to this layer included: marine calcite concentration (a proxy for ocean acidification), irradiance (photosynthetically available radiation, or PAR), thermal stress (Degree Heating Weeks), and wave power (per meter of wave front).

Covariation in these conditions was accounted for using principal component analysis (PCA) to form composite variables of conditions that have strong relationships with one another. The resulting principal components were averaged and scaled from 0 (worst) to 1 (best) to produce the coral favorability score for non-managed conditions. These data are provided for the island of Guam as a raster with a resolution of 1500 m.

Tags: aquatic ecosystems, biosphere, coastal areas, coastal processes, conservation, coral reef, coral reef assessment, coral reefs, earth science, ecosystems, environmental impacts, environmental sustainability, guam, human dimensions, human settlements, marine ecosystems, micronesia, ocean, oceans, pacific islands ocean observing system, pacific ocean, pacioos, reef, reef habitat, sustainability, western pacific ocean
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Sea Level Rise: American Samoa: High-Tide Flooding: 2070 Intermediate Scenario

This high-tide flooding layer provides a prediction of future sea level rise (SLR) inundation and was produced using a passive flooding model, often referred to as a "bathtub" model. It provides an assessment of flooded areas according to a specific water level. These water levels are determined using projections from the U.S. Interagency Task Force (ITF) (Sweet et al., 2022) in combination with land subsidence projections modeled by Han et al. (2019). The latter is included only for Tutuila, Aunuu, and Manua Islands (Ofu, Olosega, and Tau). In contrast, SLR projections for Swains Island and Rose Atoll only include the climate-related processes (ITF). The projections are modeled following both scenarios and time. The five scenarios range from low to high depending on the amount of greenhouse gases emissions, while time is divided by decade from 2030 to 2100.

We apply this model to the 2022 National Geodetic Survey (NGS) lidar DEM for American Samoa with 1-meter resolution. The DEM was leveled from NAD83 (PA11) to mean sea level at 0 m (MSL=0) in 2005. The adjustment of the DEM may lead to inaccuracies due to the lack of historic information. It is also important to acknowledge that any inaccuracies in the DEM will lead to inaccuracies in the flooding estimates.

In the 2070 intermediate scenario represented here, the modeled water level is 77 cm (42 cm for Rose and Swains). In this scenario, world-wide society continues current emissions rates, and sea level rises at increased rates compared to the intermediate-low scenario. Tipping points, i.e. large and sudden changes, are still not crossed. It is recommended using this scenario for planning construction of infrastructure with low-to-medium critical use and lifespans extending into the second half of the century, such as a new storefront.

Flood depth is provided in centimeters above the 2005 mean higher high water (MHHW) tide level.

It is essential to emphasize that the passive flooding model used to produce this data layer does not include the effects of waves on flooding. As a result, the extent and impacts of future flooding under high-wave conditions are not represented, which should be accounted for in planning efforts. In addition, the DEM is assumed to be unchanged as sea level rises, but in fact there will be erosion and changes in the shape of the land surface, and continued subsidence. This also must be considered, and it is best practice to consider any flooding extent or depth represented in this data layer as a best-case scenario, with the effects of dynamic shoreline processes leading to greater flood extent and depth than presented.

Tags: american samoa, atmospheric/ocean indicators, aunuu, climate indicators, coastal processes, earth science, environmental impacts, floods, human dimensions, inundation, manua, natural hazards, ocean, oceans, ofu, olosega, pacific islands ocean observing system, pacific ocean, pacioos, polynesia, rose atoll, sea level rise, south pacific ocean, swains, tau, tutuila
Organization: National Oceanic and Atmospheric Administration, Department of Commerce