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Grid DAP Data | Sub- set | Table DAP Data | Make A Graph | W M S | Source Data Files | Acces- sible | Title | Sum- mary | FGDC, ISO, Metadata | Back- ground Info | RSS | E | Institution | Dataset ID |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
data | graph | files | public | [Global Bleaching and Environmental Data] - Bleaching and environmental data for global coral reef sites from 1980-2020 (Identifying coral reef 'bright spots' from the global 2015-2017 thermal-stress event) | F I M | background | BCO-DMO | bcodmo_dataset_773466 |
Row Type | Variable Name | Attribute Name | Data Type | Value |
---|---|---|---|---|
attribute | NC_GLOBAL | access_formats | String | .htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson |
attribute | NC_GLOBAL | acquisition_description | String | The coral bleaching data were composed of the Reef Check dataset ([reefcheck.org](\\"https://reefcheck.org/\\")), collected by a mixture of professional scientists (56%) and trained and certi\ufb01ed citizen-scientists (44%) using a standardized transect protocol. The dataset includes counts of the number of coral colonies showing bleaching (i.e., the percent of reef corals that were recorded as bleached), which was classi\ufb01ed as site-wide bleaching. We also examined the prevalence of coral bleaching per coral ecoregion (as de\ufb01ned by Veron et al. 2015). We used the global Coral Reef Temperature Anomaly Database (CoRTAD Version 6) from the National Oceanic and Atmospheric Administration ([www.nodc.noaa.gov/sog/cortad/](\\"https://www.nodc.noaa.gov/sog/cortad/\\")) to predict coral bleaching prevalence and intensity across reefs worldwide. All CoRTAD variables were weekly data provided on a grid cell basis, of ~4km resolution, from 1982 to 2017(Sully 2019). A Pair-wise Pearson's correlation of coef\ufb01cients was used to determine which covariates were highly collinear. We used generalized linear mixed models, within a Bayesian framework, to examine the in\ufb02uence of the covariates on coral bleaching. Some sites were repeatedly surveyed and therefore site was treated as a random effect. Covariates were modeled with \ufb02at normal priors. The Bayesian model was implemented in R34 and run through the rjags package that calls JAGS35, with 3 chains, a burn-in of 4000, and 5000 iterations (Sully 2019). |
attribute | NC_GLOBAL | awards_0_award_nid | String | 762951 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-1829393 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1829393 |
attribute | NC_GLOBAL | awards_0_funder_name | String | NSF Division of Ocean Sciences |
attribute | NC_GLOBAL | awards_0_funding_acronym | String | NSF OCE |
attribute | NC_GLOBAL | awards_0_funding_source_nid | String | 355 |
attribute | NC_GLOBAL | awards_0_program_manager | String | Daniel Thornhill |
attribute | NC_GLOBAL | awards_0_program_manager_nid | String | 722161 |
attribute | NC_GLOBAL | cdm_data_type | String | Other |
attribute | NC_GLOBAL | comment | String | Bleaching and environmental data for global coral reef sites PI: Robert van Woesik (Florida Institute of Technology) Co-PI: Deron Burkepile (UC Santa Barbara) Version date: 18-July-2019 |
attribute | NC_GLOBAL | Conventions | String | COARDS, CF-1.6, ACDD-1.3 |
attribute | NC_GLOBAL | creator_email | String | info at bco-dmo.org |
attribute | NC_GLOBAL | creator_name | String | BCO-DMO |
attribute | NC_GLOBAL | creator_type | String | institution |
attribute | NC_GLOBAL | creator_url | String | https://www.bco-dmo.org/ |
attribute | NC_GLOBAL | data_source | String | extract_data_as_tsv version 2.3 19 Dec 2019 |
attribute | NC_GLOBAL | date_created | String | 2019-07-18T15:36:50Z |
attribute | NC_GLOBAL | date_modified | String | 2019-12-09T16:11:36Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.1575/1912/bco-dmo.773466.1 |
attribute | NC_GLOBAL | Easternmost_Easting | double | 179.9453333 |
attribute | NC_GLOBAL | geospatial_lat_max | double | 34.09805556 |
attribute | NC_GLOBAL | geospatial_lat_min | double | -28.8645 |
attribute | NC_GLOBAL | geospatial_lat_units | String | degrees_north |
attribute | NC_GLOBAL | geospatial_lon_max | double | 179.9453333 |
attribute | NC_GLOBAL | geospatial_lon_min | double | -179.8593611 |
attribute | NC_GLOBAL | geospatial_lon_units | String | degrees_east |
attribute | NC_GLOBAL | geospatial_vertical_max | double | 23.0 |
attribute | NC_GLOBAL | geospatial_vertical_min | double | 0.1 |
attribute | NC_GLOBAL | geospatial_vertical_positive | String | down |
attribute | NC_GLOBAL | geospatial_vertical_units | String | m |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/773466 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | keywords | String | anomaly, atmosphere, atmospheric, average, Average_Bleaching, bco, bco-dmo, biological, bleaching, chemical, city, City_Town, City_Town_2, City_Town_3, clim, ClimSST, country, Country_Name, data, dataset, date, date2, depth, deviation, dhw, dhwmax, dhwmean, dmo, earth, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, ecoregion, erddap, frequency, island, kelvin, latitude, longitude, management, max, maximum, mean, minimum, name, ocean, oceanography, office, preliminary, province, realm, science, sea, speed, sst, ssta, SSTA_DHW, SSTA_DHW_Standard_Deviation, SSTA_DHWMax, SSTA_DHWMean, SSTA_Frequency, SSTA_Frequency_Standard_Deviation, SSTA_FrequencyMax, SSTA_FrequencyMean, SSTA_Maximum, SSTA_Mean, SSTA_Minimum, SSTA_Standard_Deviation, standard, state, State_Island_Province, surface, temperature, Temperature_Kelvin, Temperature_Kelvin_Standard_Deviation, Temperature_Maximum, Temperature_Mean, Temperature_Minimum, time, town, tsa, TSA_DHW, TSA_DHW_Standard_Deviation, TSA_DHWMax, TSA_DHWMean, TSA_Frequency, TSA_Frequency_Standard_Deviation, TSA_FrequencyMax, TSA_FrequencyMean, TSA_Maximum, TSA_Mean, TSA_Minimum, TSA_Standard_Deviation, wind, wind_speed, winds, Windspeed |
attribute | NC_GLOBAL | keywords_vocabulary | String | GCMD Science Keywords |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/773466/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/773466 |
attribute | NC_GLOBAL | Northernmost_Northing | double | 34.09805556 |
attribute | NC_GLOBAL | param_mapping | String | {'773466': {'Depth': 'master - depth', 'Longitude_Degrees': 'flag - longitude', 'Latitude_Degrees': 'flag - latitude'}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/773466/parameters |
attribute | NC_GLOBAL | people_0_affiliation | String | Florida Institute of Technology |
attribute | NC_GLOBAL | people_0_affiliation_acronym | String | FIT |
attribute | NC_GLOBAL | people_0_person_name | String | Robert van Woesik |
attribute | NC_GLOBAL | people_0_person_nid | String | 562565 |
attribute | NC_GLOBAL | people_0_role | String | Principal Investigator |
attribute | NC_GLOBAL | people_0_role_type | String | originator |
attribute | NC_GLOBAL | people_1_affiliation | String | University of California-Santa Barbara |
attribute | NC_GLOBAL | people_1_affiliation_acronym | String | UCSB |
attribute | NC_GLOBAL | people_1_person_name | String | Deron Burkepile |
attribute | NC_GLOBAL | people_1_person_nid | String | 529592 |
attribute | NC_GLOBAL | people_1_role | String | Co-Principal Investigator |
attribute | NC_GLOBAL | people_1_role_type | String | originator |
attribute | NC_GLOBAL | people_2_affiliation | String | Florida Institute of Technology |
attribute | NC_GLOBAL | people_2_affiliation_acronym | String | FIT |
attribute | NC_GLOBAL | people_2_person_name | String | Robert van Woesik |
attribute | NC_GLOBAL | people_2_person_nid | String | 562565 |
attribute | NC_GLOBAL | people_2_role | String | Contact |
attribute | NC_GLOBAL | people_2_role_type | String | related |
attribute | NC_GLOBAL | people_3_affiliation | String | Woods Hole Oceanographic Institution |
attribute | NC_GLOBAL | people_3_affiliation_acronym | String | WHOI BCO-DMO |
attribute | NC_GLOBAL | people_3_person_name | String | Shannon Rauch |
attribute | NC_GLOBAL | people_3_person_nid | String | 51498 |
attribute | NC_GLOBAL | people_3_role | String | BCO-DMO Data Manager |
attribute | NC_GLOBAL | people_3_role_type | String | related |
attribute | NC_GLOBAL | project | String | Coral Reef Brightspots |
attribute | NC_GLOBAL | projects_0_acronym | String | Coral Reef Brightspots |
attribute | NC_GLOBAL | projects_0_description | String | NSF Award Abstract: Coral reefs are one of the world's most diverse ecosystems that provide goods and services, such as fisheries and storm protection, for inhabitants of tropical and subtropical regions. However, the current rapid rate of climate change threatens the existence of coral reefs as they degrade because of thermal-stress events. Consequently, the coverage and coral composition of many coral reefs is changing. Most global models suggest that few if any reef corals will survive beyond the 2.5 degree Celsius temperature rise predicted for the tropical oceans within the next hundred years. Such predictions differ from recent field studies on coral reefs that show pockets where corals do not bleach and die. The disagreement between the global models and field assessments is a consequence of ignoring climate-change refuges; it is critical to locate the climate-change refuges and determine what circumstances are conducive for coral survival. The investigators will examine the global response of coral reefs to thermal stresses over the last two decades, and focus on the 2015-2017 El Nino event, which caused considerable thermal stress and coral bleaching. The investigators ask the question: Where are the coral reef 'bright spots' from the thermal-stress events? 'Bright spots' are considered as places with less than expected bleaching. The team will also assess why some localities are potential 'bright spots'. Identifying coral reef bright spots will help guide future conservation decisions by enabling managers to target reefs with specific characteristics, which could be protected from human encroachment and be designated as potential refuges from coral bleaching as climate change progresses. This project includes training of a post-doctoral fellow and a Ph.D student, and host a coral-bleaching workshop. This study will be of relevance to all persons that live and work near coral reefs. What happens to reef corals has cascading consequences on other reef-associated organisms, and also influences whether reefs can keep up with sea-level rise. The current rapid rate of climate change threatens the existence of coral reefs as they degrade by thermal-stress events. A glimmer of optimism lies in the observation that thermal stresses vary spatially and temporally across the oceans, with the consequence that coral communities in different geographic regions, and under different local conditions, are likely to inherently differ in their capacity to tolerate thermal stress. One of the most transformative aspects of this work is in analyzing the extent to which the bleaching patterns differed from model predictions. This work will capitalize on the recent progress on Bright-Spots Analysis to assess unexpected outcomes. The investigators will take two approaches. First, the project will use a machine-learning algorithm, boosted regression trees to examine the relationships between coral bleaching and the environmental predictor variables of interest. Second, a series of generalized mixed effects models, within a hierarchical Bayesian framework, will be used to identify where geographically 'bright spots' from thermal stress are located and why some coral reefs are more susceptible to thermal stresses than others. |
attribute | NC_GLOBAL | projects_0_end_date | String | 2021-08 |
attribute | NC_GLOBAL | projects_0_geolocation | String | Global |
attribute | NC_GLOBAL | projects_0_name | String | Identifying coral reef 'bright spots' from the global 2015-2017 thermal-stress event |
attribute | NC_GLOBAL | projects_0_project_nid | String | 762952 |
attribute | NC_GLOBAL | projects_0_start_date | String | 2018-09 |
attribute | NC_GLOBAL | publisher_name | String | Biological and Chemical Oceanographic Data Management Office (BCO-DMO) |
attribute | NC_GLOBAL | publisher_type | String | institution |
attribute | NC_GLOBAL | sourceUrl | String | (local files) |
attribute | NC_GLOBAL | Southernmost_Northing | double | -28.8645 |
attribute | NC_GLOBAL | standard_name_vocabulary | String | CF Standard Name Table v55 |
attribute | NC_GLOBAL | summary | String | The coral bleaching data were composed of the Reef Check dataset (reefcheck.org), collected by a mixture of professional scientists (56%) and trained and certi\ufb01ed citizen-scientists (44%) using a standardized transect protocol. The dataset includes counts of the number of coral colonies showing bleaching (i.e., the percent of reef corals that were recorded as bleached), which was classi\ufb01ed as site-wide bleaching. We also examined the prevalence of coral bleaching per coral ecoregion (as de\ufb01ned by Veron et al. 2015). We used the global Coral Reef Temperature Anomaly Database (CoRTAD Version 6) from the National Oceanic and Atmospheric Administration (www.nodc.noaa.gov/sog/cortad/) to predict coral bleaching prevalence and intensity across reefs worldwide. All CoRTAD variables were weekly data provided on a grid cell basis, of ~4km resolution, from 1982 to 2017(Sully 2019). |
attribute | NC_GLOBAL | title | String | [Global Bleaching and Environmental Data] - Bleaching and environmental data for global coral reef sites from 1980-2020 (Identifying coral reef 'bright spots' from the global 2015-2017 thermal-stress event) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | Westernmost_Easting | double | -179.8593611 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.3 |
variable | ID | short | ||
attribute | ID | _FillValue | short | 32767 |
attribute | ID | actual_range | short | 97, 13077 |
attribute | ID | bcodmo_name | String | sample |
attribute | ID | description | String | Unique identifier for each sampling event |
attribute | ID | long_name | String | ID |
attribute | ID | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P02/current/ACYC/ |
attribute | ID | units | String | unitless |
variable | latitude | double | ||
attribute | latitude | _CoordinateAxisType | String | Lat |
attribute | latitude | _FillValue | double | NaN |
attribute | latitude | actual_range | double | -28.8645, 34.09805556 |
attribute | latitude | axis | String | Y |
attribute | latitude | bcodmo_name | String | latitude |
attribute | latitude | colorBarMaximum | double | 90.0 |
attribute | latitude | colorBarMinimum | double | -90.0 |
attribute | latitude | description | String | Latitude |
attribute | latitude | ioos_category | String | Location |
attribute | latitude | long_name | String | Latitude |
attribute | latitude | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P09/current/LATX/ |
attribute | latitude | source_name | String | Latitude_Degrees |
attribute | latitude | standard_name | String | latitude |
attribute | latitude | units | String | degrees_north |
variable | longitude | double | ||
attribute | longitude | _CoordinateAxisType | String | Lon |
attribute | longitude | _FillValue | double | NaN |
attribute | longitude | actual_range | double | -179.8593611, 179.9453333 |
attribute | longitude | axis | String | X |
attribute | longitude | bcodmo_name | String | longitude |
attribute | longitude | colorBarMaximum | double | 180.0 |
attribute | longitude | colorBarMinimum | double | -180.0 |
attribute | longitude | description | String | Longitude |
attribute | longitude | ioos_category | String | Location |
attribute | longitude | long_name | String | Longitude |
attribute | longitude | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P09/current/LONX/ |
attribute | longitude | source_name | String | Longitude_Degrees |
attribute | longitude | standard_name | String | longitude |
attribute | longitude | units | String | degrees_east |
variable | Ocean | String | ||
attribute | Ocean | bcodmo_name | String | site_descrip |
attribute | Ocean | description | String | Name of ocean |
attribute | Ocean | long_name | String | Ocean |
attribute | Ocean | units | String | unitless |
variable | Realm | String | ||
attribute | Realm | bcodmo_name | String | site_descrip |
attribute | Realm | description | String | Spalding et al. 2007 Marine Ecoregions of the world shapefiles |
attribute | Realm | long_name | String | Realm |
attribute | Realm | units | String | unitless |
variable | Ecoregion | String | ||
attribute | Ecoregion | bcodmo_name | String | site_descrip |
attribute | Ecoregion | description | String | JEN Veron et al. 2015 shapefile of coral reef ecoregions |
attribute | Ecoregion | long_name | String | Ecoregion |
attribute | Ecoregion | units | String | unitless |
variable | Country_Name | String | ||
attribute | Country_Name | bcodmo_name | String | site_descrip |
attribute | Country_Name | description | String | Name of country |
attribute | Country_Name | long_name | String | Country Name |
attribute | Country_Name | units | String | unitless |
variable | State_Island_Province | String | ||
attribute | State_Island_Province | bcodmo_name | String | site_descrip |
attribute | State_Island_Province | description | String | State/island/province name |
attribute | State_Island_Province | long_name | String | State Island Province |
attribute | State_Island_Province | units | String | unitless |
variable | City_Town | String | ||
attribute | City_Town | bcodmo_name | String | site_descrip |
attribute | City_Town | description | String | City/town infomration |
attribute | City_Town | long_name | String | City Town |
attribute | City_Town | units | String | unitless |
variable | City_Town_2 | String | ||
attribute | City_Town_2 | bcodmo_name | String | site_descrip |
attribute | City_Town_2 | description | String | City/town infomration |
attribute | City_Town_2 | long_name | String | City Town 2 |
attribute | City_Town_2 | units | String | unitless |
variable | City_Town_3 | String | ||
attribute | City_Town_3 | bcodmo_name | String | site_descrip |
attribute | City_Town_3 | description | String | City/town infomration |
attribute | City_Town_3 | long_name | String | City Town 3 |
attribute | City_Town_3 | units | String | unitless |
variable | Date | String | ||
attribute | Date | bcodmo_name | String | date |
attribute | Date | description | String | Date; format: mm/dd/yyyy |
attribute | Date | long_name | String | Date |
attribute | Date | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/ |
attribute | Date | source_name | String | Date |
attribute | Date | time_precision | String | 1970-01-01 |
attribute | Date | units | String | unitless |
variable | Date2 | int | ||
attribute | Date2 | _FillValue | int | 2147483647 |
attribute | Date2 | actual_range | int | 19980823, 20171220 |
attribute | Date2 | bcodmo_name | String | date |
attribute | Date2 | description | String | Date formatted as: yyyymmdd |
attribute | Date2 | long_name | String | Date2 |
attribute | Date2 | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/ |
attribute | Date2 | units | String | unitless |
variable | depth | double | ||
attribute | depth | _CoordinateAxisType | String | Height |
attribute | depth | _CoordinateZisPositive | String | down |
attribute | depth | _FillValue | double | NaN |
attribute | depth | actual_range | double | 0.1, 23.0 |
attribute | depth | axis | String | Z |
attribute | depth | bcodmo_name | String | depth |
attribute | depth | colorBarMaximum | double | 8000.0 |
attribute | depth | colorBarMinimum | double | -8000.0 |
attribute | depth | colorBarPalette | String | TopographyDepth |
attribute | depth | description | String | distance from surface to study site |
attribute | depth | ioos_category | String | Location |
attribute | depth | long_name | String | Depth |
attribute | depth | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P09/current/DEPH/ |
attribute | depth | positive | String | down |
attribute | depth | standard_name | String | depth |
attribute | depth | units | String | m |
variable | Average_Bleaching | float | ||
attribute | Average_Bleaching | _FillValue | float | NaN |
attribute | Average_Bleaching | actual_range | float | 0.0, 100.0 |
attribute | Average_Bleaching | bcodmo_name | String | bleach_percent |
attribute | Average_Bleaching | description | String | an average of four transect segments |
attribute | Average_Bleaching | long_name | String | Average Bleaching |
attribute | Average_Bleaching | units | String | percent |
variable | ClimSST | float | ||
attribute | ClimSST | _FillValue | float | NaN |
attribute | ClimSST | actual_range | float | 262.15, 305.91 |
attribute | ClimSST | bcodmo_name | String | temp_ss |
attribute | ClimSST | description | String | Climatological sea surface temperature (SST) based on weekly SSTs for the study time frame, created using a harmonics approach |
attribute | ClimSST | long_name | String | Clim SST |
attribute | ClimSST | units | String | Degrees Celsius |
variable | Temperature_Kelvin | double | ||
attribute | Temperature_Kelvin | _FillValue | double | NaN |
attribute | Temperature_Kelvin | actual_range | double | 291.64, 306.8 |
attribute | Temperature_Kelvin | bcodmo_name | String | unknown |
attribute | Temperature_Kelvin | description | String | Temperature in Kelvin |
attribute | Temperature_Kelvin | long_name | String | Temperature Kelvin |
attribute | Temperature_Kelvin | units | String | Kelvin |
variable | Temperature_Mean | double | ||
attribute | Temperature_Mean | _FillValue | double | NaN |
attribute | Temperature_Mean | actual_range | double | 294.3, 303.52 |
attribute | Temperature_Mean | bcodmo_name | String | temperature |
attribute | Temperature_Mean | description | String | Mean Temperature |
attribute | Temperature_Mean | long_name | String | Temperature Mean |
attribute | Temperature_Mean | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/ |
attribute | Temperature_Mean | units | String | Degree Celsius |
variable | Temperature_Minimum | double | ||
attribute | Temperature_Minimum | _FillValue | double | NaN |
attribute | Temperature_Minimum | actual_range | double | 284.54, 300.35 |
attribute | Temperature_Minimum | bcodmo_name | String | temperature |
attribute | Temperature_Minimum | description | String | Minimum Temperture |
attribute | Temperature_Minimum | long_name | String | Temperature Minimum |
attribute | Temperature_Minimum | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/ |
attribute | Temperature_Minimum | units | String | Degree Celsius |
variable | Temperature_Maximum | double | ||
attribute | Temperature_Maximum | _FillValue | double | NaN |
attribute | Temperature_Maximum | actual_range | double | 301.25, 313.14 |
attribute | Temperature_Maximum | bcodmo_name | String | temperature |
attribute | Temperature_Maximum | description | String | Maximum Temperature |
attribute | Temperature_Maximum | long_name | String | Temperature Maximum |
attribute | Temperature_Maximum | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/ |
attribute | Temperature_Maximum | units | String | Degree Celsius |
variable | Temperature_Kelvin_Standard_Deviation | double | ||
attribute | Temperature_Kelvin_Standard_Deviation | _FillValue | double | NaN |
attribute | Temperature_Kelvin_Standard_Deviation | actual_range | double | 0.79, 5.82 |
attribute | Temperature_Kelvin_Standard_Deviation | bcodmo_name | String | unknown |
attribute | Temperature_Kelvin_Standard_Deviation | colorBarMaximum | double | 50.0 |
attribute | Temperature_Kelvin_Standard_Deviation | colorBarMinimum | double | 0.0 |
attribute | Temperature_Kelvin_Standard_Deviation | description | String | Standard deviation of temperature |
attribute | Temperature_Kelvin_Standard_Deviation | long_name | String | Temperature Kelvin Standard Deviation |
attribute | Temperature_Kelvin_Standard_Deviation | units | String | Kelvin |
variable | Windspeed | byte | ||
attribute | Windspeed | _FillValue | byte | 127 |
attribute | Windspeed | actual_range | byte | 0, 14 |
attribute | Windspeed | bcodmo_name | String | wind_speed |
attribute | Windspeed | colorBarMaximum | double | 15.0 |
attribute | Windspeed | colorBarMinimum | double | 0.0 |
attribute | Windspeed | description | String | Windspeed |
attribute | Windspeed | long_name | String | Wind Speed |
attribute | Windspeed | units | String | meters per hour |
variable | SSTA | double | ||
attribute | SSTA | _FillValue | double | NaN |
attribute | SSTA | actual_range | double | -4.26, 4.61 |
attribute | SSTA | bcodmo_name | String | temp_ss |
attribute | SSTA | description | String | Sea Surface Temperature Anomaly: weekly SST minus weekly climatological SST |
attribute | SSTA | long_name | String | SSTA |
attribute | SSTA | units | String | Degree Celsius |
variable | SSTA_Standard_Deviation | double | ||
attribute | SSTA_Standard_Deviation | _FillValue | double | NaN |
attribute | SSTA_Standard_Deviation | actual_range | double | 0.0, 2.79 |
attribute | SSTA_Standard_Deviation | bcodmo_name | String | temp_ss |
attribute | SSTA_Standard_Deviation | colorBarMaximum | double | 50.0 |
attribute | SSTA_Standard_Deviation | colorBarMinimum | double | 0.0 |
attribute | SSTA_Standard_Deviation | description | String | The Standard Deviation of weekly SST Anomalies over the entire time period |
attribute | SSTA_Standard_Deviation | long_name | String | SSTA Standard Deviation |
attribute | SSTA_Standard_Deviation | units | String | Degree Celsius |
variable | SSTA_Mean | byte | ||
attribute | SSTA_Mean | _FillValue | byte | 127 |
attribute | SSTA_Mean | actual_range | byte | 0, 0 |
attribute | SSTA_Mean | bcodmo_name | String | temp_ss |
attribute | SSTA_Mean | description | String | The mean SSTA over the entire time period |
attribute | SSTA_Mean | long_name | String | SSTA Mean |
attribute | SSTA_Mean | units | String | Degree Celsius |
variable | SSTA_Minimum | double | ||
attribute | SSTA_Minimum | _FillValue | double | NaN |
attribute | SSTA_Minimum | actual_range | double | -7.31, 0.0 |
attribute | SSTA_Minimum | bcodmo_name | String | temp_ss |
attribute | SSTA_Minimum | description | String | The minimum SSTA over the entire time period |
attribute | SSTA_Minimum | long_name | String | SSTA Minimum |
attribute | SSTA_Minimum | units | String | Degree Celsius |
variable | SSTA_Maximum | double | ||
attribute | SSTA_Maximum | _FillValue | double | NaN |
attribute | SSTA_Maximum | actual_range | double | 0.0, 13.19 |
attribute | SSTA_Maximum | bcodmo_name | String | temp_ss |
attribute | SSTA_Maximum | description | String | The maximum SSTA over the entire time period |
attribute | SSTA_Maximum | long_name | String | SSTA Maximum |
attribute | SSTA_Maximum | units | String | Degree Celsius |
variable | SSTA_Frequency | double | ||
attribute | SSTA_Frequency | _FillValue | double | NaN |
attribute | SSTA_Frequency | actual_range | double | 0.0, 36.0 |
attribute | SSTA_Frequency | bcodmo_name | String | unknown |
attribute | SSTA_Frequency | description | String | Sea Surface Temperature Anomaly Frequency: number of times over the previous 52 weeks that SSTA >=1 degree C |
attribute | SSTA_Frequency | long_name | String | SSTA Frequency |
attribute | SSTA_Frequency | units | String | SSTA per time period |
variable | SSTA_Frequency_Standard_Deviation | double | ||
attribute | SSTA_Frequency_Standard_Deviation | _FillValue | double | NaN |
attribute | SSTA_Frequency_Standard_Deviation | actual_range | double | 0.0, 14.2 |
attribute | SSTA_Frequency_Standard_Deviation | bcodmo_name | String | unknown |
attribute | SSTA_Frequency_Standard_Deviation | colorBarMaximum | double | 50.0 |
attribute | SSTA_Frequency_Standard_Deviation | colorBarMinimum | double | 0.0 |
attribute | SSTA_Frequency_Standard_Deviation | description | String | The standard deviation of SSTA_Frequency over the entire time period |
attribute | SSTA_Frequency_Standard_Deviation | long_name | String | SSTA Frequency Standard Deviation |
attribute | SSTA_Frequency_Standard_Deviation | units | String | SSTA per time period |
variable | SSTA_FrequencyMax | double | ||
attribute | SSTA_FrequencyMax | _FillValue | double | NaN |
attribute | SSTA_FrequencyMax | actual_range | double | 0.0, 52.0 |
attribute | SSTA_FrequencyMax | bcodmo_name | String | unknown |
attribute | SSTA_FrequencyMax | description | String | The maximum SSTA_Frequency over the entire time period |
attribute | SSTA_FrequencyMax | long_name | String | SSTA Frequency Max |
attribute | SSTA_FrequencyMax | units | String | SSTA per time period |
variable | SSTA_FrequencyMean | double | ||
attribute | SSTA_FrequencyMean | _FillValue | double | NaN |
attribute | SSTA_FrequencyMean | actual_range | double | 0.0, 21.0 |
attribute | SSTA_FrequencyMean | bcodmo_name | String | unknown |
attribute | SSTA_FrequencyMean | description | String | The mean SSTA_Frequency over the entire time period |
attribute | SSTA_FrequencyMean | long_name | String | SSTA Frequency Mean |
attribute | SSTA_FrequencyMean | units | String | SSTA per time period |
variable | SSTA_DHW | double | ||
attribute | SSTA_DHW | _FillValue | double | NaN |
attribute | SSTA_DHW | actual_range | double | 0.0, 38.45 |
attribute | SSTA_DHW | bcodmo_name | String | unknown |
attribute | SSTA_DHW | description | String | Sea Surface Temperature Degree Heating Weeks: sum of previous 12 weeks when SSTA>=1 degree C |
attribute | SSTA_DHW | long_name | String | SSTA DHW |
attribute | SSTA_DHW | units | String | Weeks |
variable | SSTA_DHW_Standard_Deviation | double | ||
attribute | SSTA_DHW_Standard_Deviation | _FillValue | double | NaN |
attribute | SSTA_DHW_Standard_Deviation | actual_range | double | 0.0, 21.38 |
attribute | SSTA_DHW_Standard_Deviation | bcodmo_name | String | unknown |
attribute | SSTA_DHW_Standard_Deviation | colorBarMaximum | double | 50.0 |
attribute | SSTA_DHW_Standard_Deviation | colorBarMinimum | double | 0.0 |
attribute | SSTA_DHW_Standard_Deviation | description | String | The standard deviation SSTA_DHW over the entire time period |
attribute | SSTA_DHW_Standard_Deviation | long_name | String | SSTA DHW Standard Deviation |
attribute | SSTA_DHW_Standard_Deviation | units | String | Weeks |
variable | SSTA_DHWMax | double | ||
attribute | SSTA_DHWMax | _FillValue | double | NaN |
attribute | SSTA_DHWMax | actual_range | double | 0.0, 107.22 |
attribute | SSTA_DHWMax | bcodmo_name | String | unknown |
attribute | SSTA_DHWMax | description | String | The maximum SSTA_DHW over the entire time period |
attribute | SSTA_DHWMax | long_name | String | SSTA DHWMax |
attribute | SSTA_DHWMax | units | String | Weeks |
variable | SSTA_DHWMean | double | ||
attribute | SSTA_DHWMean | _FillValue | double | NaN |
attribute | SSTA_DHWMean | actual_range | double | 0.0, 13.12 |
attribute | SSTA_DHWMean | bcodmo_name | String | unknown |
attribute | SSTA_DHWMean | description | String | The mean SSTA_DHW over the entire time period |
attribute | SSTA_DHWMean | long_name | String | SSTA DHWMean |
attribute | SSTA_DHWMean | units | String | Weeks |
variable | TSA | double | ||
attribute | TSA | _FillValue | double | NaN |
attribute | TSA | actual_range | double | -11.04, 4.54 |
attribute | TSA | bcodmo_name | String | unknown |
attribute | TSA | description | String | Thermal Stress Anomaly: Weekly sea surface temperature minus the maximum of weekly climatological sea surface temperature |
attribute | TSA | long_name | String | TSA |
attribute | TSA | units | String | Degree Celsius |
variable | TSA_Standard_Deviation | double | ||
attribute | TSA_Standard_Deviation | _FillValue | double | NaN |
attribute | TSA_Standard_Deviation | actual_range | double | 0.0, 5.82 |
attribute | TSA_Standard_Deviation | bcodmo_name | String | unknown |
attribute | TSA_Standard_Deviation | colorBarMaximum | double | 50.0 |
attribute | TSA_Standard_Deviation | colorBarMinimum | double | 0.0 |
attribute | TSA_Standard_Deviation | description | String | The standard deviation of TSA over the entire time period |
attribute | TSA_Standard_Deviation | long_name | String | TSA Standard Deviation |
attribute | TSA_Standard_Deviation | units | String | Degree Celsius |
variable | TSA_Minimum | double | ||
attribute | TSA_Minimum | _FillValue | double | NaN |
attribute | TSA_Minimum | actual_range | double | -18.85, 0.0 |
attribute | TSA_Minimum | bcodmo_name | String | unknown |
attribute | TSA_Minimum | description | String | The minimum TSA over the entire time period |
attribute | TSA_Minimum | long_name | String | TSA Minimum |
attribute | TSA_Minimum | units | String | Degree Celsius |
variable | TSA_Maximum | double | ||
attribute | TSA_Maximum | _FillValue | double | NaN |
attribute | TSA_Maximum | actual_range | double | 0.0, 10.59 |
attribute | TSA_Maximum | bcodmo_name | String | unknown |
attribute | TSA_Maximum | description | String | The maximum TSA over the entire time period |
attribute | TSA_Maximum | long_name | String | TSA Maximum |
attribute | TSA_Maximum | units | String | Degree Celsius |
variable | TSA_Mean | double | ||
attribute | TSA_Mean | _FillValue | double | NaN |
attribute | TSA_Mean | actual_range | double | -7.46, 0.0 |
attribute | TSA_Mean | bcodmo_name | String | unknown |
attribute | TSA_Mean | description | String | The mean TSA over the entire times period |
attribute | TSA_Mean | long_name | String | TSA Mean |
attribute | TSA_Mean | units | String | Degree Celsius |
variable | TSA_Frequency | double | ||
attribute | TSA_Frequency | _FillValue | double | NaN |
attribute | TSA_Frequency | actual_range | double | 0.0, 25.0 |
attribute | TSA_Frequency | bcodmo_name | String | unknown |
attribute | TSA_Frequency | description | String | Thermal Stress Anomaly Frequency: number of times over previous 52 weeks that TSA >=1 degree C |
attribute | TSA_Frequency | long_name | String | TSA Frequency |
attribute | TSA_Frequency | units | String | TSA per time period |
variable | TSA_Frequency_Standard_Deviation | double | ||
attribute | TSA_Frequency_Standard_Deviation | _FillValue | double | NaN |
attribute | TSA_Frequency_Standard_Deviation | actual_range | double | 0.0, 13.57 |
attribute | TSA_Frequency_Standard_Deviation | bcodmo_name | String | unknown |
attribute | TSA_Frequency_Standard_Deviation | colorBarMaximum | double | 50.0 |
attribute | TSA_Frequency_Standard_Deviation | colorBarMinimum | double | 0.0 |
attribute | TSA_Frequency_Standard_Deviation | description | String | The standard deviation of frequency of thermal stress anomalies over the entire time period |
attribute | TSA_Frequency_Standard_Deviation | long_name | String | TSA Frequency Standard Deviation |
attribute | TSA_Frequency_Standard_Deviation | units | String | TSA per time period |
variable | TSA_FrequencyMax | double | ||
attribute | TSA_FrequencyMax | _FillValue | double | NaN |
attribute | TSA_FrequencyMax | actual_range | double | 0.0, 52.0 |
attribute | TSA_FrequencyMax | bcodmo_name | String | unknown |
attribute | TSA_FrequencyMax | description | String | The maximum TSA_Frequency over the entire time period |
attribute | TSA_FrequencyMax | long_name | String | TSA Frequency Max |
attribute | TSA_FrequencyMax | units | String | TSA per time period |
variable | TSA_FrequencyMean | double | ||
attribute | TSA_FrequencyMean | _FillValue | double | NaN |
attribute | TSA_FrequencyMean | actual_range | double | 0.0, 20.0 |
attribute | TSA_FrequencyMean | bcodmo_name | String | unknown |
attribute | TSA_FrequencyMean | description | String | The mean TSA_Frequency over the entire time period |
attribute | TSA_FrequencyMean | long_name | String | TSA Frequency Mean |
attribute | TSA_FrequencyMean | units | String | TSA per time period |
variable | TSA_DHW | double | ||
attribute | TSA_DHW | _FillValue | double | NaN |
attribute | TSA_DHW | actual_range | double | 0.0, 37.68 |
attribute | TSA_DHW | bcodmo_name | String | unknown |
attribute | TSA_DHW | description | String | Thermal Stress Anomaly (TSA) Degree Heating Week (DHW): Sum of previous 12 weeks when TSA >=1 degree C |
attribute | TSA_DHW | long_name | String | TSA DHW |
attribute | TSA_DHW | units | String | Weeks |
variable | TSA_DHW_Standard_Deviation | double | ||
attribute | TSA_DHW_Standard_Deviation | _FillValue | double | NaN |
attribute | TSA_DHW_Standard_Deviation | actual_range | double | 0.0, 15.21 |
attribute | TSA_DHW_Standard_Deviation | bcodmo_name | String | unknown |
attribute | TSA_DHW_Standard_Deviation | colorBarMaximum | double | 50.0 |
attribute | TSA_DHW_Standard_Deviation | colorBarMinimum | double | 0.0 |
attribute | TSA_DHW_Standard_Deviation | description | String | The standard deviation of TSA_DHW over the entire time period |
attribute | TSA_DHW_Standard_Deviation | long_name | String | TSA DHW Standard Deviation |
attribute | TSA_DHW_Standard_Deviation | units | String | Weeks |
variable | TSA_DHWMax | double | ||
attribute | TSA_DHWMax | _FillValue | double | NaN |
attribute | TSA_DHWMax | actual_range | double | 0.0, 63.47 |
attribute | TSA_DHWMax | bcodmo_name | String | unknown |
attribute | TSA_DHWMax | description | String | The maximum TSA_DHW over the entire time period |
attribute | TSA_DHWMax | long_name | String | TSA DHWMax |
attribute | TSA_DHWMax | units | String | Weeks |
variable | TSA_DHWMean | double | ||
attribute | TSA_DHWMean | _FillValue | double | NaN |
attribute | TSA_DHWMean | actual_range | double | 0.0, 12.66 |
attribute | TSA_DHWMean | bcodmo_name | String | unknown |
attribute | TSA_DHWMean | description | String | The mean TSA_DHW over the entire time period |
attribute | TSA_DHWMean | long_name | String | TSA DHWMean |
attribute | TSA_DHWMean | units | String | Weeks |
The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.