hi_otp_all_sst_clim_max 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 1253 0.004710650111032079 row 778 0.004710650111032079 area Sea Surface Temperature (SST) Maximum Monthly Climatological Mean, 1985-2013 - Hawaii 2017-03-14 creation 2017-03-14 issued 2017-03-14 revision org.pacioos hi_otp_all_sst_clim_max 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 maximum of the monthly mean climatology of SST (degrees Celsius) from 1985-2013. 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. An SST climatology was first calculated by taking the average of the 5-km weekly SST data for each month, and then averaging for all same-months (e.g., January) over the 1985-2013 time period. 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_clim_max.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 -160.44646121838227 -154.53930597914805 18.75414421694241 22.4237406534364 Sea Surface Temperature (SST) Maximum Monthly Climatological Mean, 1985-2013 - 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 maximum of the monthly mean climatology of SST (degrees Celsius) from 1985-2013. 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. An SST climatology was first calculated by taking the average of the 5-km weekly SST data for each month, and then averaging for all same-months (e.g., January) over the 1985-2013 time period. Open Geospatial Consortium Web Coverage Service (WCS) 1 -160.44646121838227 -154.53930597914805 18.75414421694241 22.4237406534364 tight GetCapabilities https://geo.pacioos.hawaii.edu/geoserver/PACIOOS/hi_otp_all_sst_clim_max/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) Maximum Monthly Climatological Mean, 1985-2013 - 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 maximum of the monthly mean climatology of SST (degrees Celsius) from 1985-2013. 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. An SST climatology was first calculated by taking the average of the 5-km weekly SST data for each month, and then averaging for all same-months (e.g., January) over the 1985-2013 time period. Open Geospatial Consortium Web Map Service (WMS) 1 -160.44646121838227 -154.53930597914805 18.75414421694241 22.4237406534364 tight GetCapabilities https://geo.pacioos.hawaii.edu/geoserver/PACIOOS/hi_otp_all_sst_clim_max/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.