hi_otp_all_sst_anom_freq
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
2021-03-30
ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data
ISO 19115-2:2009(E)
2
column
1253
0.004710650111032079
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0.004710650111032079
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Sea Surface Temperature (SST) Average Annual Frequency of Anomalies, 2000-2013 - Hawaii
2017-03-14
creation
2017-03-14
issued
2017-03-14
revision
org.pacioos
hi_otp_all_sst_anom_freq
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; Heron SF, Willis BL, Skirving WJ, Eakin CM, Page CA, et al. (2010) Summer hot snaps and winter conditions: modelling white syndrome outbreaks on Great Barrier Reef corals. PLOS ONE 5(8): e12210. https://doi.org/10.1371/journal.pone.0012210.
Sea surface temperature (SST) plays an important role in a number of ecological processes and can vary over a wide range of time scales, from daily to decadal changes. SST influences primary production, species migration patterns, and coral health. If temperatures are anomalously warm for extended periods of time, drastic changes in the surrounding ecosystem can result, including harmful effects such as coral bleaching. This layer represents the annual average frequency of anomalies of SST from 2000-2013, with values presented as fraction of a year.
Three SST datasets were combined to provide continuous coverage from 1985-2013. The concatenation applies bias adjustment derived from linear regression to the overlap periods of datasets, with the final representation matching the 0.05-degree (~5-km) near real-time SST product. First, a weekly composite, gap-filled SST dataset from the NOAA Pathfinder v5.2 SST 1/24-degree (~4-km), daily dataset (a NOAA Climate Data Record) for each location was produced following Heron et al. (2010) for January 1985 to December 2012. Next, weekly composite SST data from the NOAA/NESDIS/STAR Blended SST 0.1-degree (~11-km), daily dataset was produced for February 2009 to October 2013. Finally, a weekly composite SST dataset from the NOAA/NESDIS/STAR Blended SST 0.05-degree (~5-km), daily dataset was produced for March 2012 to December 2013.
The SST average annual frequency of anomalies was calculated by taking the average number of weeks that exceeded the maximum monthly climatological SST value from 2000-2013 for each pixel.
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_sst_anom_freq.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 Temperature > Sea Surface Temperature
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
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-154.53930597914805
18.75414421694241
22.4237406534364
Sea Surface Temperature (SST) Average Annual Frequency of Anomalies, 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
Sea surface temperature (SST) plays an important role in a number of ecological processes and can vary over a wide range of time scales, from daily to decadal changes. SST influences primary production, species migration patterns, and coral health. If temperatures are anomalously warm for extended periods of time, drastic changes in the surrounding ecosystem can result, including harmful effects such as coral bleaching. This layer represents the annual average frequency of anomalies of SST from 2000-2013, with values presented as fraction of a year.
Three SST datasets were combined to provide continuous coverage from 1985-2013. The concatenation applies bias adjustment derived from linear regression to the overlap periods of datasets, with the final representation matching the 0.05-degree (~5-km) near real-time SST product. First, a weekly composite, gap-filled SST dataset from the NOAA Pathfinder v5.2 SST 1/24-degree (~4-km), daily dataset (a NOAA Climate Data Record) for each location was produced following Heron et al. (2010) for January 1985 to December 2012. Next, weekly composite SST data from the NOAA/NESDIS/STAR Blended SST 0.1-degree (~11-km), daily dataset was produced for February 2009 to October 2013. Finally, a weekly composite SST dataset from the NOAA/NESDIS/STAR Blended SST 0.05-degree (~5-km), daily dataset was produced for March 2012 to December 2013.
The SST average annual frequency of anomalies was calculated by taking the average number of weeks that exceeded the maximum monthly climatological SST value from 2000-2013 for each pixel.
Open Geospatial Consortium Web Coverage Service (WCS)
1
-160.44646121838227
-154.53930597914805
18.75414421694241
22.4237406534364
tight
GetCapabilities
http://geo.pacioos.hawaii.edu/geoserver/PACIOOS/hi_otp_all_sst_anom_freq/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
Sea Surface Temperature (SST) Average Annual Frequency of Anomalies, 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
Sea surface temperature (SST) plays an important role in a number of ecological processes and can vary over a wide range of time scales, from daily to decadal changes. SST influences primary production, species migration patterns, and coral health. If temperatures are anomalously warm for extended periods of time, drastic changes in the surrounding ecosystem can result, including harmful effects such as coral bleaching. This layer represents the annual average frequency of anomalies of SST from 2000-2013, with values presented as fraction of a year.
Three SST datasets were combined to provide continuous coverage from 1985-2013. The concatenation applies bias adjustment derived from linear regression to the overlap periods of datasets, with the final representation matching the 0.05-degree (~5-km) near real-time SST product. First, a weekly composite, gap-filled SST dataset from the NOAA Pathfinder v5.2 SST 1/24-degree (~4-km), daily dataset (a NOAA Climate Data Record) for each location was produced following Heron et al. (2010) for January 1985 to December 2012. Next, weekly composite SST data from the NOAA/NESDIS/STAR Blended SST 0.1-degree (~11-km), daily dataset was produced for February 2009 to October 2013. Finally, a weekly composite SST dataset from the NOAA/NESDIS/STAR Blended SST 0.05-degree (~5-km), daily dataset was produced for March 2012 to December 2013.
The SST average annual frequency of anomalies was calculated by taking the average number of weeks that exceeded the maximum monthly climatological SST value from 2000-2013 for each pixel.
Open Geospatial Consortium Web Map Service (WMS)
1
-160.44646121838227
-154.53930597914805
18.75414421694241
22.4237406534364
tight
GetCapabilities
http://geo.pacioos.hawaii.edu/geoserver/PACIOOS/hi_otp_all_sst_anom_freq/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
Sea Surface Temperature (SST) Average Annual Frequency of Anomalies, 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
Sea surface temperature (SST) plays an important role in a number of ecological processes and can vary over a wide range of time scales, from daily to decadal changes. SST influences primary production, species migration patterns, and coral health. If temperatures are anomalously warm for extended periods of time, drastic changes in the surrounding ecosystem can result, including harmful effects such as coral bleaching. This layer represents the annual average frequency of anomalies of SST from 2000-2013, with values presented as fraction of a year.
Three SST datasets were combined to provide continuous coverage from 1985-2013. The concatenation applies bias adjustment derived from linear regression to the overlap periods of datasets, with the final representation matching the 0.05-degree (~5-km) near real-time SST product. First, a weekly composite, gap-filled SST dataset from the NOAA Pathfinder v5.2 SST 1/24-degree (~4-km), daily dataset (a NOAA Climate Data Record) for each location was produced following Heron et al. (2010) for January 1985 to December 2012. Next, weekly composite SST data from the NOAA/NESDIS/STAR Blended SST 0.1-degree (~11-km), daily dataset was produced for February 2009 to October 2013. Finally, a weekly composite SST dataset from the NOAA/NESDIS/STAR Blended SST 0.05-degree (~5-km), daily dataset was produced for March 2012 to December 2013.
The SST average annual frequency of anomalies was calculated by taking the average number of weeks that exceeded the maximum monthly climatological SST value from 2000-2013 for each pixel.
Open Geospatial Consortium Web Map Service - Cached (WMS-C)
1
-160.44646121838227
-154.53930597914805
18.75414421694241
22.4237406534364
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.