AndreaBozzo/ceres-open-data-index huggingface dataset:
Sea Level Rise: American Samoa: High-Tide Flooding: 2090 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 2090 low scenario represented here, the modeled water level is 60 cm (24 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
Sea Level Rise: American Samoa: High-Tide Flooding: 2090 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 2090 intermediate-low scenario represented here, the modeled water level is 77 cm (41 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
Species Distribution: Green Sea Turtle - Hawaii

This dataset contains a collection of 13 known point locations of green sea turtles identified through direct human observation via aerial surveys between March and April of 1995. Dr. Joseph Mobley of the Marine Mammal Research Consultants (MMRC) led aerial surveys for turtles and cetaceans in Hawaiian waters from 1993-2003.

Tags: animals/vertebrates, aquatic ecosystems, biological classification, biosphere, central pacific ocean, continent, earth science, green sea turtle, hawaii, hawaiian islands, marine habitat, north america, ocean, pacific islands ocean observing system, pacific ocean, pacioos, reptiles, turtles, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coral Favorability: Managed Conditions - Guam

Managers have some ability to support healthy environmental conditions through strategic action at a local and regional scale, such as water quality. This layer synthesized spatial information for several 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: chlorophyll-a concentration, fish and herbivore biomass, turbidity (Kd490), macroalgal cover, and ocean-based pollution. 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 a coral favorability score for 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 governance/management, 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: 2040 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 2040 intermediate scenario represented here, the modeled water level is 44 cm (13 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
Coral Favorability: Overall Environmental Conditions: Worst Case Emissions - Guam

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 "gu_usgs_all_coralscore_mgt") and non-managed conditions (see layer "gu_usgs_all_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 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 governance/management, 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
Sea Level Rise: American Samoa: High-Tide Flooding: 2080 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 2080 low scenario represented here, the modeled water level is 57 cm (21 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
PacIOOS Nearshore Sensor 012: Kalama Beach Park, Maui, Hawaii

The nearshore sensors are part of the Pacific Islands Ocean Observing System (PacIOOS) and are designed to measure a variety of ocean parameters at fixed points. nss_012 is located at Kalama Beach Park in Kihei along the south shore of Maui in the State of Hawaii. The sensor package is fixed to a mooring at about 1.5 meters depth. PacIOOS nearshore sensors monitor coastal water conditions to help provide early indications of potentially polluted run-off from storm drainage, sewage spills, and soil erosion from land-based waterways such as streams and other outflows that lead directly into the ocean.

Tags: central pacific ocean, chemical meters/analyzers, chlorophyll, conductivity sensors, continent, ctd, depth, depth status_flag, earth science, fluorometers, fractional_saturation_of_oxygen_in_sea_water, fractional_saturation_of_oxygen_in_sea_water status_flag, hawaii, hawaiian islands, in situ ocean-based platforms, in situ/laboratory instruments, kalama beach park, kihei, latitude, longitude, mass_concentration_of_chlorophyll_in_sea_water, mass_concentration_of_chlorophyll_in_sea_water status_flag, mass_concentration_of_oxygen_in_sea_water, mass_concentration_of_oxygen_in_sea_water status_flag, maui, north america, ocean, ocean chemistry, ocean optics, ocean platform/ocean stations, ocean pressure, ocean temperature, oceans, oxygen, oxygen meters, pacific islands ocean observing system, pacific ocean, pacioos, ph, ph meters, photon/optical detectors, pressure sensors, pressure/height meters, profilers/sounders, salinity, salinity/density, sea_water_ph_reported_on_total_scale, sea_water_ph_reported_on_total_scale status_flag, sea_water_practical_salinity, sea_water_practical_salinity status_flag, sea_water_pressure, sea_water_pressure status_flag, sea_water_temperature, sea_water_temperature status_flag, sea_water_turbidity, sea_water_turbidity status_flag, temperature sensors, temperature/humidity sensors, time, turbidity, turbidity meters, united states of america, water pressure, water quality, water temperature
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Tide Model (Barotropic) for the Pacific Basin

Barotropic tide model for the Pacific Ocean. The model is based on harmonics distributed by Oregon State University (OSU) and assimilates satellite altimetry data from TOPEX/Poseidon. It was generated using OSU Tidal Prediction Software (OTPS), modified locally by J. Potemra, using barotropic inverse tidal solutions from OSU. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use this output with the caution appropriate for any ocean related activity.

Tags: earth science, earth science services, eastward_sea_water_velocity, latitude, longitude, models, models/analyses, northward_sea_water_velocity, not applicable, ocean, ocean circulation, ocean currents, ocean general circulation models (ogcm)/regional ocean models, oceans, operational models, pacific islands ocean observing system, pacific ocean, pacioos, sea surface height, sea surface topography, sea_surface_height, tidal height, tides, time, weather research/forecast models
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Sea Level Rise: American Samoa: High-Tide Flooding: 10-Ft 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. As an alternative to the SLR scenarios in other data layers that we provide, our project also provides the ability to select specific amounts of SLR in increments of one foot, independent of any particular scenario. This information can be used if guidance for a project requires planning for a specific amount of SLR rather than a time horizon. The present layer models a sea level rise of 10 feet (305 cm).

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.

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