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Hawaii and Pacific Islands King Tides Project
The University of Hawaii Sea Grant College Program's Hawaii and Pacific Islands King Tides Project documents high water level events known as King Tides to better understand future impacts from sea level rise and other coastal hazards. King Tides provide a window into the future because today's high tides are predicted to become tomorrow's average sea levels. Citizen scientists have contributed to this free, publicly-accessible, and crowd-sourced dataset by photographing King Tides at places important to them throughout Hawaii and Oceania. Photos, observations, date, time, location, and other metadata are submitted online. This publicly-accessible online database informs research, policy, and decision making across the State of Hawaii and the wider Pacific region. King tides are the highest astronomical tides of the year. The scientific term for a King Tide is a perigean spring tide. King Tides in the Hawaiian Islands tend to occur during the summer (e.g., July and August) and winter months (e.g., December and January) in conjunction with new moons and full moons. King Tides, or the highest high tides of the year, are a unique coastal hazard. The timing of these extreme water level events can be anticipated through the use of tidal predictions, yet their impacts (e.g., coastal flooding and inundation in low-lying areas) can have devastating consequences for coastal inhabitants, particularly when combined with severe weather or high wave events. It is a common misconception that King Tides are the result of man-made climate change. When in reality, they are not byproducts of climate change, rather they are windows for us to see what the future of sea level rise from global climate change might look like along our coastlines. With future sea level rise we can expect more frequent high tide flooding and monthly and even daily high tides exceeding coastal inundation thresholds. When sharing these photographs, please cite this project with the following attribution: (c) Hawaii Sea Grant King Tides Project, (year of photo). Some rights reserved. Licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
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Tide Model for the Hawaiian Islands: Main NW Islands
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Tide model for the Hawaiian Islands. The model is based on climatological stratification, but 64 harmonics are used to model the full-depth baroclinic tides. The model has been run at 1km resolution, hourly, through the end of 2025. Due to computing limitations, the model grid is divided into two pieces, one for the Northwestern main Hawaiian Islands (Kauai, Oahu, Maui) and the other for the Big Island. 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.
WaveWatch III (WW3) Northwestern Hawaiian Islands (NWHI) Regional Wave Model
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Through a collaborative effort with NOAA/NCEP and NWS Honolulu, the University of Hawaii has implemented a global-scale WaveWatch III (WW3) model (ww3_global), which in turn provides boundary conditions for this Northwestern Hawaiian Islands (NWHI) regional WW3: a 7-day model with a 5-day hourly forecast at approximately 5-km or 0.05-deg resolution. The primary purpose of this regional model is to capture island effects such as island shadowing, refraction, and accurate modeling of local wind waves. NWHI WW3 is forced with winds from the University of Hawaii Meteorology Department's operational mesoscale model, which has a more suitable spatial resolution than the global scale wind field. 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 these data with the caution appropriate for any ocean related activity.
Watersheds - Hawaii
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Watershed boundaries for the eight main Hawaiian Islands, generated by the State of Hawaii Office of Planning in Arc/Info and GRID using USGS DEM data.
Tide Model for the Big Island of Hawaii
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Tide model for the Big Island of Hawaii. The model is based on climatological stratification, but 64 harmonics are used to model the full-depth baroclinic tides. The model has been run at 1km resolution, hourly, through the end of 2025. Due to computing limitations, the model grid is divided into two pieces, one for the Northwestern main Hawaiian Islands (Kauai, Oahu, Maui) and the other for the Big Island. 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.
Shoreline - Johnson Atoll
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Shoreline of Johnson Atoll
WaveWatch III (WW3) Hawaii Regional Wave Model
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Through a collaborative effort with NOAA/NCEP and NWS Honolulu, the University of Hawaii has implemented a global-scale WaveWatch III (WW3) model (ww3_global), which in turn provides boundary conditions for this Hawaii regional WW3: a 7-day model with a 5-day hourly forecast at approximately 5-km or 0.05-deg resolution. The primary purpose of this regional model is to capture island effects such as island shadowing, refraction, and accurate modeling of local wind waves. Hawaii WW3 is forced with winds from the University of Hawaii Meteorology Department's operational mesoscale model, which has a more suitable spatial resolution than the global scale wind field. The Hawaii regional WW3 also provides boundary conditions for nearshore island-scale models via Simulating WAves Nearshore (SWAN). 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 these data with the caution appropriate for any ocean related activity.
NEOWAVE Regional Tsunami Model: Kalapana 1975: Hawaii: Hawaii Island
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Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for Hawaii Island in the State of Hawaii. Provides a nearshore hazard map of wave amplitude based on the 1975 Kalapana tsunami. Data are gridded at approximately 180-m resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the inundation described by these data.
NEOWAVE Regional Tsunami Model: Hawaii: Oahu: Pearl Harbor
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Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for Pearl Harbor on the south coast of the island of Oahu in the state of Hawaii, categorized by earthquake magnitude and subduction zone. Includes nearshore hazard maps of surge, drawdown, and current for hypothetical advisory and warning-level tsunamis from potential sources at the Aleutian, Kuril-Kamchatka, and Peru-Chile subduction zones. Data are gridded at approximately 9-m resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the surge, drawdown, and current described by these data.
NEOWAVE Regional Tsunami Model: Kalapana 1975: Hawaii: Oahu
공공데이터포털
Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for the island of Oahu in the State of Hawaii. Provides a nearshore hazard map of wave amplitude based on the 1975 Kalapana tsunami. Data are gridded at approximately 180-m resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the inundation described by these data.
Coral Reefs - Hawaii
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This dataset represents a subset of the global distribution of warm water coral reefs for Hawaii and should be seen as an "interim" product. It has been compiled from a number of data sources which have been merged together by UNEP-WCMC and the WorldFish Centre in collaboration with WRI and TNC. It supersedes the dataset used in the World Atlas of Coral Reefs (2001), although some aspects of this product still originate from that data source. This amalgamated dataset has been created to further mobilise the Millennium Coral Reef Map Products and their validation. This data set should by no means replace the official release of the Millennium coral reef map and users should always check at the official sites for the most up-to-date available information. This dataset does not contain the full 5 level geomorphological categorization. In part, for the validated products, it maintains the simplified Reefbase subset but for the remaining areas i.e. the unvalidated data and data from other sources, there is only a single class to indicate coral reef. When using these data, please cite the following: UNEP-WCMC, WorldFish Centre, WRI, TNC (2010). Global distribution of warm-water coral reefs, compiled from multiple sources including the Millennium Coral Reef Mapping Project. Version 1.3. Includes contributions from IMaRS-USF and IRD (2005), IMaRS-USF (2005) and Spalding et al. (2001). Cambridge (UK): UNEP World Conservation Monitoring Centre. For more information go to: http://data.unep-wcmc.org/datasets/1