WMS
Pacific Islands Ocean Observing System (PacIOOS) WMS
Data from the Pacific Islands Ocean Observing System (PacIOOS) of the School of Ocean and Earth Science and Technology (SOEST) at the University of Hawaii. PacIOOS is one of eleven regional observing programs in the U.S. supporting the Integrated Ocean Observing System (IOOS). The PacIOOS region includes the U.S. Pacific Region (Hawaii, Guam, American Samoa, Commonwealth of the Northern Mariana Islands), the Pacific nations in Free Association with the U.S. (Republic of the Marshall Islands, Federated States of Micronesia, Republic of Palau), and the U.S. Minor Outlying Islands (Howland, Baker, Johnston, Jarvis, Kingman, Palmyra, Midway, Wake). These data are served using GeoServer in a variety of interoperable data services and output formats: http://geo.pacioos.hawaii.edu/geoserver/. See http://geoserver.org for further documentation; and GeoServer's WFS documentation at: http://docs.geoserver.org/latest/en/user/services/wms/. Please note that cached versions of many of these map layers exist in our GeoServer via GeoWebCache using WMS-C. This would be the preferred method of accessing some of the larger data layers for improved access speeds: http://geo.pacioos.hawaii.edu/geoserver/gwc/service/wms?request=GetCapabilities&version=1.1.1&tiled=true. 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. Lastly, GeoExplorer can be used to view these layers online at http://geo.pacioos.hawaii.edu/geoexplorer/.
WMS
PacIOOS
IOOS
ocean observing
Pacific
US Affiliated Territories
GeoServer
GeoWebCache
Pacific Islands Ocean Observing System (PacIOOS)
Pacific Islands Ocean Observing System (PacIOOS)
Work
University of Hawaii at Manoa, POST Building, Room 815
Honolulu
HI
96822
USA
+18089566556
+18089565308
info@pacioos.org
NONE
NONE
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Pacific Islands Ocean Observing System (PacIOOS) WMS
Data from the Pacific Islands Ocean Observing System (PacIOOS) of the School of Ocean and Earth Science and Technology (SOEST) at the University of Hawaii. PacIOOS is one of eleven regional observing programs in the U.S. supporting the Integrated Ocean Observing System (IOOS). The PacIOOS region includes the U.S. Pacific Region (Hawaii, Guam, American Samoa, Commonwealth of the Northern Mariana Islands), the Pacific nations in Free Association with the U.S. (Republic of the Marshall Islands, Federated States of Micronesia, Republic of Palau), and the U.S. Minor Outlying Islands (Howland, Baker, Johnston, Jarvis, Kingman, Palmyra, Midway, Wake). These data are served using GeoServer in a variety of interoperable data services and output formats: http://geo.pacioos.hawaii.edu/geoserver/. See http://geoserver.org for further documentation; and GeoServer's WFS documentation at: http://docs.geoserver.org/latest/en/user/services/wms/. Please note that cached versions of many of these map layers exist in our GeoServer via GeoWebCache using WMS-C. This would be the preferred method of accessing some of the larger data layers for improved access speeds: http://geo.pacioos.hawaii.edu/geoserver/gwc/service/wms?request=GetCapabilities&version=1.1.1&tiled=true. 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. Lastly, GeoExplorer can be used to view these layers online at http://geo.pacioos.hawaii.edu/geoexplorer/.
EPSG:32655
EPSG:32702
EPSG:3857
EPSG:4326
EPSG:900913
CRS:84
-171.33852999999996
-167.82501847376378
-14.73203864432298
-10.77649
as_noaa_all_turb_anom_freq
Turbidity (Kd490) Average Annual Frequency of Anomalies, 1998-2018 - American Samoa
Spectrally resolved water-leaving radiances (ocean color) and inferred chlorophyll concentration are key to studying phytoplankton dynamics at seasonal and inter-annual scales, for a better understanding of the role of phytoplankton in marine biogeochemistry; the global carbon cycle; and the response of marine ecosystems to climate variability, change, and feedback processes. Ocean color data also have a critical role in operational observation systems monitoring coastal eutrophication, harmful algal blooms, and sediment plumes. The contiguous ocean color record reached 21 years in 2018. However, it is comprised of a number of one-off missions such that creating a consistent time series of ocean color data requires merging of the individual sensors without introducing artifacts.
The diffuse attenuation coefficient at 490 nm (Kd490) indicates the turbidity of the water column: i.e., how well visible light in the blue to green region of the spectrum penetrates the water column. The value of Kd490 represents the rate at which light at 490 nm is attenuated with depth. For example, a Kd490 of 0.1 per meter means that light intensity is reduced by one natural log within 10 meters of water. Thus, for a Kd490 of 0.1, one attenuation length is 10 meters. Higher Kd490 values mean shallower attenuation depths and thus higher turbidity, or lower clarity, of ocean water. This layer represents the annual average number of anomalies of Kd490 (m-1) from 1998-2018, with values presented as fraction of a year.
Data products generated by the Ocean Colour component of the European Space Agency (ESA) Climate Change Initiative (CCI) project. These files are 8-day 4-km composites of merged sensor products: Global Area Coverage (GAC), Local Area Coverage (LAC), MEdium Resolution Imaging Spectrometer (MERIS), Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Ocean and Land Colour Instrument (OLCI), Sea-viewing Wide Field-of-view Sensor (SeaWiFS), and Visible Infrared Imaging Radiometer Suite (VIIRS).
The Kd490 average annual frequency of anomalies was calculated by taking the average number of times that the 8-day time series exceeded the maximum monthly climatological Kd490 value from 1998-2018 for each pixel. A quality control mask was applied to remove spurious data associated with shallow water, following Gove et al., 2013. 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.
Data source: https://oceanwatch.pifsc.noaa.gov/erddap/griddap/esa-cci-kd-8d-v5-0.graph
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 Optics > Turbidity > > > Kd490
Earth Science > Oceans > Water Quality
Ocean > Pacific Ocean > South Pacific Ocean > Polynesia > American Samoa > Manua
Ocean > Pacific Ocean > South Pacific Ocean > Polynesia > American Samoa > Ofu
Ocean > Pacific Ocean > South Pacific Ocean > Polynesia > American Samoa > Olosega
Ocean > Pacific Ocean > South Pacific Ocean > Polynesia > American Samoa > Rose Atoll
Ocean > Pacific Ocean > South Pacific Ocean > Polynesia > American Samoa > Swains
Ocean > Pacific Ocean > South Pacific Ocean > Polynesia > American Samoa > Tau
Ocean > Pacific Ocean > South Pacific Ocean > Polynesia > American Samoa > Tutuila
environment
oceans
EPSG:4326
CRS:84
-171.33852999999996
-167.82501847376378
-14.73203864432298
-10.77649
NOAA Pacific Islands Fisheries Science Center (PIFSC)