hi_otp_all_wave_avg
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
2021-08-02
ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data
ISO 19115-2:2009(E)
2
column
1209
0.004710172830446903
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752
0.004710172830446903
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Wave Power Long-term Mean, 2000-2013 - Hawaii
2017-03-14
creation
2017-03-14
issued
2017-03-14
revision
org.pacioos
hi_otp_all_wave_avg
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 mean 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 long-term mean wave power was calculated by taking the average 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_avg.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 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 mean 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 long-term mean wave power was calculated by taking the average 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
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tight
GetCapabilities
http://geo.pacioos.hawaii.edu/geoserver/PACIOOS/hi_otp_all_wave_avg/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 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 mean 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 long-term mean wave power was calculated by taking the average 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
http://geo.pacioos.hawaii.edu/geoserver/PACIOOS/hi_otp_all_wave_avg/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
Wave Power Long-term Mean, 2000-2013 - Hawaii
2017-03-14
creation
2017-03-14
issued
2017-03-14
revision
Ocean Tipping Points (OTP)
http://oceantippingpoints.org
http
web browser
information
originator
Pacific Islands Ocean Observing System (PacIOOS)
info@pacioos.org
http://pacioos.org
http
web browser
information
distributor
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 mean 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 long-term mean wave power was calculated by taking the average 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 - Cached (WMS-C)
1
-160.33883160356046
-154.6395224787197
18.79565273726957
22.34241287859609
tight
GetCapabilities
http://geo.pacioos.hawaii.edu/geoserver/PACIOOS/gwc/service/wms?service=WMS&version=1.1.1&request=GetCapabilities&tiled=true
OGC:WMS-C
OGC-WMS-C
Open Geospatial Consortium Web Map Service - Cached (WMS-C). Use of WMS-C is similar to traditional WMS but with the addition of the "tiled=true" parameter, which triggers GeoServer to pull map tiles from GeoWebCache if they have been previously generated. This can dramatically improve performance, especially for larger datasets. Supported map formats include JPEG and PNG. Supported info formats include GeoJSON, GML, HTML, and plain text.
download
Pacific Islands Ocean Observing System (PacIOOS)
info@pacioos.org
http://pacioos.org
http
web browser
information
publisher
http://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://geo.pacioos.hawaii.edu/geoexplorer/
http
GeoExplorer
This URL provides a viewer for this dataset.
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.