hi_otp_all_wave_std eng UTF8 dataset service Carrie V. Kappel National Center for Ecological Analysis and Synthesis (NCEAS) kappel@nceas.ucsb.edu http://oceantippingpoints.org/about-us/people#Carrie http web browser information pointOfContact 2024-11-14 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) 2 column 1209 0.004710172830446903 row 752 0.004710172830446903 area Wave Power Standard Deviation of Long-term Mean, 2000-2013 - Hawaii 2017-03-14 creation 2017-03-14 issued 2017-03-14 revision org.pacioos hi_otp_all_wave_std Carrie V. Kappel National Center for Ecological Analysis and Synthesis (NCEAS) kappel@nceas.ucsb.edu http://oceantippingpoints.org/about-us/people#Carrie http web browser information principalInvestigator Kimberly A. Selkoe National Center for Ecological Analysis and Synthesis (NCEAS) selkoe@nceas.ucsb.edu http://oceantippingpoints.org/about-us/people#Kim http web browser information originator Ocean Tipping Points (OTP) info@oceantippingpoints.org http://oceantippingpoints.org http web browser information resourceProvider Pacific Islands Ocean Observing System (PacIOOS) info@pacioos.org http://pacioos.org http web browser information publisher Related publications: Wedding LM, Lecky J, Gove JM, Walecka HR, Donovan MK, et al. (2018) Advancing the integration of spatial data to map human and natural drivers on coral reefs. PLOS ONE 13(3): e0189792. https://doi.org/10.1371/journal.pone.0189792; Ning L, Cheung KF, Stopa JE, Hsiao F, Chen Y-L, et al. (2016) Thirty-four years of Hawaii wave hindcast from downscaling of climate forecast system reanalysis. Ocean Modelling 100: 78-95. https://doi.org/10.1016/j.ocemod.2016.02.001. Wave power is a major environmental forcing mechanism in Hawaii that influences a number of marine ecosystem processes including coral reef community development, structure, and persistence. By driving mixing of the upper water column, wave forcing can also play a role in nutrient availability and ocean temperature reduction during warming events. Wave forcing in Hawaii is highly seasonal, with winter months typically experiencing far greater wave power than that experienced during the summer months. This layer represents the standard deviation of maximum daily wave power (kW/m) from 2000-2013. Data were obtained from the University of Hawaii at Manoa (UH) School of Ocean and Earth Science and Technology (SOEST) SWAN model (Simulating WAves Nearshore) following Li et al. (2016). Hourly 500-m SWAN model runs of wave power were converted to maximum daily wave power from 1979-2013 and then averaged over each month from 1979-2013, creating a monthly time series from which monthly climatologies were made. Pixels were removed directly adjacent to coastlines owing to the model being too coarse to handle extreme refraction and dissipation. Nearshore map pixels with no data were filled with values from the nearest neighboring valid offshore pixel by using a grid of points and the Near Analysis tool in ArcGIS then converting points to raster. The standard deviation of the long-term mean wave power was calculated by taking the standard deviation of the maximum daily time series of wave power data from 2000-2013 for each 500-m grid cell. This layer was developed as part of a geospatial database of key anthropogenic pressures to coastal waters of the Main Hawaiian Islands for the Ocean Tipping Points (OTP) project (http://oceantippingpoints.org). Ocean tipping points occur when shifts in human use or environmental conditions result in large, and sometimes abrupt, impacts to marine ecosystems. The ability to predict and understand ocean tipping points can enhance ecosystem management, including critical coral reef management and policies to protect ecosystem services produced by coral reefs. The goal of the Ocean Tipping Points Hawaii case study was to gather, process, and map spatial information on environmental and human-based drivers of coral reef ecosystem conditions. The Ocean Tipping Points project, 2016. Please acknowledge the Ocean Tipping Points project as a source when these data are used in the preparation of reports, papers, publications, maps, and other products. When applying these data for publication, please reference and cite the following journal article: Wedding LM, Lecky J, Gove JM, Walecka HR, Donovan MK, et al. (2018) Advancing the integration of spatial data to map human and natural drivers on coral reefs. PLOS ONE 13(3): e0189792. https://doi.org/10.1371/journal.pone.0189792. Carrie V. Kappel National Center for Ecological Analysis and Synthesis (NCEAS) kappel@nceas.ucsb.edu http://oceantippingpoints.org/about-us/people#Carrie http web browser information pointOfContact http://pacioos.org/metadata/browse/hi_otp_all_wave_std.png Sample image. Earth Science > Biosphere > Aquatic Ecosystems > Reef Habitat Earth Science > Biosphere > Ecosystems > Marine Ecosystems > Reef > Coral Reef Earth Science > Human Dimensions > Human Settlements > Coastal Areas Earth Science > Oceans > Coastal Processes > Coral Reefs Earth Science > Oceans > Ocean Waves > > > > Wave Power theme GCMD Science Keywords Continent > North America > United States Of America > Hawaii Ocean > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands place GCMD Location Keywords PacIOOS > Pacific Islands Ocean Observing System project GCMD Project Keywords PacIOOS > Pacific Islands Ocean Observing System dataCenter GCMD Data Center Keywords Please contact the Ocean Tipping Points (OTP) project in advance of applying these data to project work so that the principal investigator, Carrie Kappel (kappel@nceas.ucsb.edu), can track and communicate data uses and ensure no duplicate efforts are underway. The data may be used and redistributed for free but is not intended for legal use, since it may contain inaccuracies. Neither the data Contributor, University of Hawaii, PacIOOS, NOAA, State of Hawaii nor the United States Government, nor any of their employees or contractors, makes any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, of this information. Pacific Islands Ocean Observing System (PacIOOS) largerWorkCitation project eng oceans 1 -160.33883160356046 -154.6395224787197 18.79565273726957 22.34241287859609 Wave Power Standard Deviation of Long-term Mean, 2000-2013 - Hawaii 2017-03-14 creation 2017-03-14 issued 2017-03-14 revision Carrie V. Kappel National Center for Ecological Analysis and Synthesis (NCEAS) kappel@nceas.ucsb.edu http://oceantippingpoints.org/about-us/people#Carrie http web browser information principalInvestigator Pacific Islands Ocean Observing System (PacIOOS) info@pacioos.org http://pacioos.org http web browser information publisher Wave power is a major environmental forcing mechanism in Hawaii that influences a number of marine ecosystem processes including coral reef community development, structure, and persistence. By driving mixing of the upper water column, wave forcing can also play a role in nutrient availability and ocean temperature reduction during warming events. Wave forcing in Hawaii is highly seasonal, with winter months typically experiencing far greater wave power than that experienced during the summer months. This layer represents the standard deviation of maximum daily wave power (kW/m) from 2000-2013. Data were obtained from the University of Hawaii at Manoa (UH) School of Ocean and Earth Science and Technology (SOEST) SWAN model (Simulating WAves Nearshore) following Li et al. (2016). Hourly 500-m SWAN model runs of wave power were converted to maximum daily wave power from 1979-2013 and then averaged over each month from 1979-2013, creating a monthly time series from which monthly climatologies were made. Pixels were removed directly adjacent to coastlines owing to the model being too coarse to handle extreme refraction and dissipation. Nearshore map pixels with no data were filled with values from the nearest neighboring valid offshore pixel by using a grid of points and the Near Analysis tool in ArcGIS then converting points to raster. The standard deviation of the long-term mean wave power was calculated by taking the standard deviation of the maximum daily time series of wave power data from 2000-2013 for each 500-m grid cell. Open Geospatial Consortium Web Coverage Service (WCS) 1 -160.33883160356046 -154.6395224787197 18.79565273726957 22.34241287859609 tight GetCapabilities https://geo.pacioos.hawaii.edu/geoserver/PACIOOS/hi_otp_all_wave_std/ows?service=WCS&version=1.0.0&request=GetCapabilities OGC:WCS OGC-WCS Open Geospatial Consortium Web Coverage Service (WCS). Supported WCS versions include 1.0.0, 1.1.0, and 1.1.1. Supported output formats include GeoTIFF, GIF, JPEG, PNG, or TIFF. download Wave Power Standard Deviation of Long-term Mean, 2000-2013 - Hawaii 2017-03-14 creation 2017-03-14 issued 2017-03-14 revision Carrie V. Kappel National Center for Ecological Analysis and Synthesis (NCEAS) kappel@nceas.ucsb.edu http://oceantippingpoints.org/about-us/people#Carrie http web browser information principalInvestigator Pacific Islands Ocean Observing System (PacIOOS) info@pacioos.org http://pacioos.org http web browser information publisher Wave power is a major environmental forcing mechanism in Hawaii that influences a number of marine ecosystem processes including coral reef community development, structure, and persistence. By driving mixing of the upper water column, wave forcing can also play a role in nutrient availability and ocean temperature reduction during warming events. Wave forcing in Hawaii is highly seasonal, with winter months typically experiencing far greater wave power than that experienced during the summer months. This layer represents the standard deviation of maximum daily wave power (kW/m) from 2000-2013. Data were obtained from the University of Hawaii at Manoa (UH) School of Ocean and Earth Science and Technology (SOEST) SWAN model (Simulating WAves Nearshore) following Li et al. (2016). Hourly 500-m SWAN model runs of wave power were converted to maximum daily wave power from 1979-2013 and then averaged over each month from 1979-2013, creating a monthly time series from which monthly climatologies were made. Pixels were removed directly adjacent to coastlines owing to the model being too coarse to handle extreme refraction and dissipation. Nearshore map pixels with no data were filled with values from the nearest neighboring valid offshore pixel by using a grid of points and the Near Analysis tool in ArcGIS then converting points to raster. The standard deviation of the long-term mean wave power was calculated by taking the standard deviation of the maximum daily time series of wave power data from 2000-2013 for each 500-m grid cell. Open Geospatial Consortium Web Map Service (WMS) 1 -160.33883160356046 -154.6395224787197 18.79565273726957 22.34241287859609 tight GetCapabilities https://geo.pacioos.hawaii.edu/geoserver/PACIOOS/hi_otp_all_wave_std/ows?service=WMS&version=1.3.0&request=GetCapabilities OGC:WMS OGC-WMS Open Geospatial Consortium Web Map Service (WMS). Supported WMS versions include 1.1.1 and 1.3.0. Supported map formats include AtomPub, GeoRSS, GeoTIFF, GIF, JPEG, KML/KMZ, PDF, PNG, SVG, and TIFF. Supported info formats include GeoJSON, GeoJSON-P, GML, HTML, and plain text. download Pacific Islands Ocean Observing System (PacIOOS) info@pacioos.org http://pacioos.org http web browser information publisher https://geo.pacioos.hawaii.edu/geoserver/ http GeoServer This URL provides access to this dataset via GeoServer, including multiple output formats and an OpenLayers viewer. download http://pacioos.org/projects/oceantippingpoints/#data http PacIOOS Ocean Tipping Points (OTP) Data Viewer This URL provides a viewer and/or data access for this dataset. download dataset 2017-03-14T00:00:00Z OGC web services (WMS and WFS) enabled by PacIOOS via GeoServer. Original data from source provider may have been reformatted, reprojected, or adjusted in other ways to optimize these capabilities. This record was translated and enhanced from GeoServer OGC Web Services (OWS) using PacIOOS software.