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     data   graph     files  public [MBRS SST 2003-2015: MUR] - Sea surface temperature JPL MUR data, Belize Mesoamerican Barrier
Reef System (MBRS), 2003-2015 (Investigating the influence of thermal history on coral growth
response to recent and predicted end-of-century ocean warming across a cascade of ecological
scales)
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The Dataset's Variables and Attributes

Row Type Variable Name Attribute Name Data Type Value
attribute NC_GLOBAL access_formats String .htmlTable,.csv,.json,.mat,.nc,.tsv
attribute NC_GLOBAL acquisition_description String Conventional 1-km resolution satellite-derived SST measurements (infrared, IR)
are contaminated by clouds, creating data-void areas. Microwave (MW) data sets
can penetrate clouds to gain better temporal coverage, but with a much coarser
spatial resolution (25 km) [36]. MUR combines these two datasets to present a
more comprehensive and complete SST product. It employs multi-resolution
variational analysis (MRBA) as an interpolation method to combine high
resolution datasets with more conventional datasets, generating a product that
contains no cloud contamination [36]. MUR reports estimates of foundation SST,
or SST at the base of the diurnal thermocline (~5-10m depth). Comparison of
in-situ temperature (recorded by HOBO\u00ae v2 data loggers), MUR, and other
SST products revealed that MUR outperforms other products in estimating in-
situ temperature, although it also underestimates the temperature corals
experience at depth (S1 Fig). However, due to its temporal coverage and
temporal resolution, high spatial resolution, lack of cloud contamination, and
smaller method error compared to similar products such as Group for High
Resolution SST (GHRSST), MUR was determined to be the ideal SST product for
use in the current study.
attribute NC_GLOBAL awards_0_award_nid String 635862
attribute NC_GLOBAL awards_0_award_number String OCE-1459522
attribute NC_GLOBAL awards_0_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1459522 (external link)
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 Michael E. Sieracki
attribute NC_GLOBAL awards_0_program_manager_nid String 50446
attribute NC_GLOBAL cdm_data_type String Other
attribute NC_GLOBAL comment String Sea surface temperature time-series
Belize Mesoamerican Barrier Reef System (MBRS), 2003-2015
Daily 1-km horizontal resolution SST estimates from
the Jet Propulsion Laboratory's Multi-Scale High Resolution SST (JPL MUR SST) (https://podaac.jpl.nasa.gov)
PI's: K. Castillo, J. Baumann
version: 2018-04-16
Published in Baumann et al, PLoS ONE (2016) 11(9) DOI: 10.1371/journal.pone.0162098
NOTE: data from 2012 are given twice at each site; only the first set,
along with the 2003-2011 data, was used in the original analysis in Baumann et al (2016)
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/ (external link)
attribute NC_GLOBAL data_source String extract_data_as_tsv version 2.3 19 Dec 2019
attribute NC_GLOBAL date_created String 2018-04-25T19:16:20Z
attribute NC_GLOBAL date_modified String 2019-12-11T18:41:10Z
attribute NC_GLOBAL defaultDataQuery String &time<now
attribute NC_GLOBAL doi String 10.1575/1912/bco-dmo.734406.1
attribute NC_GLOBAL Easternmost_Easting double -88.002
attribute NC_GLOBAL geospatial_lon_max double -88.002
attribute NC_GLOBAL geospatial_lon_min double -88.629
attribute NC_GLOBAL geospatial_lon_units String degrees_east
attribute NC_GLOBAL infoUrl String https://www.bco-dmo.org/dataset/734406 (external link)
attribute NC_GLOBAL institution String BCO-DMO
attribute NC_GLOBAL instruments_0_acronym String AVHRR
attribute NC_GLOBAL instruments_0_dataset_instrument_description String One of several instruments used by NASA to produce sea surface temperature data products.
attribute NC_GLOBAL instruments_0_dataset_instrument_nid String 734436
attribute NC_GLOBAL instruments_0_description String "The AVHRR instrument consists of an array of small sensors that record (as digital numbers) the amount of visible and infrared radiation reflected and (or) emitted from the Earth's surface" (more information).
attribute NC_GLOBAL instruments_0_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L05/current/122/ (external link)
attribute NC_GLOBAL instruments_0_instrument_name String Advanced Very High Resolution Radiometer
attribute NC_GLOBAL instruments_0_instrument_nid String 455
attribute NC_GLOBAL keywords String bco, bco-dmo, biological, chemical, data, dataset, date, dmo, erddap, latitude, longitude, management, oceanography, office, preliminary, site, temp_se, temperature, time
attribute NC_GLOBAL license String https://www.bco-dmo.org/dataset/734406/license (external link)
attribute NC_GLOBAL metadata_source String https://www.bco-dmo.org/api/dataset/734406 (external link)
attribute NC_GLOBAL param_mapping String {'734406': {'long': 'flag - longitude'}}
attribute NC_GLOBAL parameter_source String https://www.bco-dmo.org/mapserver/dataset/734406/parameters (external link)
attribute NC_GLOBAL people_0_affiliation String University of North Carolina at Chapel Hill
attribute NC_GLOBAL people_0_affiliation_acronym String UNC-Chapel Hill
attribute NC_GLOBAL people_0_person_name String Karl D. Castillo
attribute NC_GLOBAL people_0_person_nid String 51711
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 North Carolina at Chapel Hill
attribute NC_GLOBAL people_1_affiliation_acronym String UNC-Chapel Hill
attribute NC_GLOBAL people_1_person_name String Justin Baumann
attribute NC_GLOBAL people_1_person_nid String 733684
attribute NC_GLOBAL people_1_role String Student
attribute NC_GLOBAL people_1_role_type String related
attribute NC_GLOBAL people_2_affiliation String University of North Carolina at Chapel Hill
attribute NC_GLOBAL people_2_affiliation_acronym String UNC-Chapel Hill
attribute NC_GLOBAL people_2_person_name String Justin Baumann
attribute NC_GLOBAL people_2_person_nid String 733684
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 Nancy Copley
attribute NC_GLOBAL people_3_person_nid String 50396
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 Thermal History and Coral Growth
attribute NC_GLOBAL projects_0_acronym String Thermal History and Coral Growth
attribute NC_GLOBAL projects_0_description String Description from NSF award abstract:
Rising global ocean surface temperatures have reduced coral growth rates, thereby negatively impacting the health of coral reef ecosystems worldwide. Recent studies on tropical reef building corals reveal that corals' growth in response to ocean warming may be influenced by their previous seawater temperature exposure - their thermal history. Although these recent findings highlight significant variability in coral growth in response to climate change, uncertainty remains as to the spatial scale at which corals' thermal history influences how they have responded to ocean warming and how they will likely respond to predicted future increases in ocean temperature. This study investigates the influence of thermal history on coral growth in response to recent and predicted seawater temperatures increases across four ecologically relevant spatial scales ranging from reef ecosystems, to reef communities, to reef populations, to an individual coral colony. By understanding how corals have responded in the past across a range of ecological scales, the Principal Investigator will be able to improve the ability to predict their susceptibility and resilience, which could then be applied to coral reef conservation in the face of climate change. This research project will broaden the participation of undergraduates from underrepresented groups and educate public radio listeners using minority voices and narratives. The scientist will leverage current and new partnerships to recruit and train minority undergraduates, thus allowing them to engage high school students near field sites in Florida, Belize, and Panama. Through peer advising, undergraduates will document this research on a digital news site for dissemination to the public. The voice of the undergraduates and scientist will ground the production of a public radio feature exploring the topic of acclimatization and resilience - a capacity for stress tolerance within coral reef ecosystems. This project will provide a postdoctoral researcher and several graduate students with opportunities for field and laboratory research training, teaching and mentoring, and professional development. The results will allow policy makers from Florida, the Mesoamerican Barrier Reef System countries, and several Central American countries to benefit from Caribbean-scale inferences that incorporate corals' physiological abilities, thereby improving coral reef management for the region.
Coral reefs are at significant risk due to a variety of local and global scale anthropogenic stressors. Although various stressors contribute to the observed decline in coral reef health, recent studies highlight rising seawater temperatures due to increasing atmospheric carbon dioxide concentration as one of the most significant stressors influencing coral growth rates. However, there is increasing recognition of problems of scale since a coral's growth response to an environmental stressor may be conditional on the scale of description. This research will investigate the following research questions: (1) How has seawater temperature on reef ecosystems (Florida Keys Reef Tract, USA; Belize Barrier Reef System, Belize; and Bocas Del Toro Reef Complex, Panama), reef communities (inshore and offshore reefs), reef populations (individual reefs), and near reef colonies (individual colonies), varied in the past? (2) How has seawater temperature influenced rates of coral growth and how does the seawater temperature-coral growth relationship vary across these four ecological spatial scales? (3) Does the seawater temperature-coral growth relationship forecast rates of coral growth under predicted end-of-century ocean warming at the four ecological spatial scales? Long term sea surface temperature records and small-scale high-resolution in situ seawater temperature measurements will be compared with growth chronologies for the reef building corals Siderastrea siderea and Orbicella faveolata, two keystone species ubiquitously distributed throughout the Caribbean Sea. Nutrients and irradiance will be quantified via satellite-derived observations, in situ measurements, and established colorimetric protocols. Field and laboratory experiments will be combined to examine seawater temperature-coral growth relationships under recent and predicted end-of-century ocean warming at four ecologically relevant spatial scales. The findings of this study will help us bridge the temperature-coral growth response gap across ecologically relevant spatial scales and thus improve our understanding of how corals have responded to recent warming. This will lead to more meaningful predictions about future coral growth response to climate change.
attribute NC_GLOBAL projects_0_end_date String 2018-02
attribute NC_GLOBAL projects_0_geolocation String Western Caribbean
attribute NC_GLOBAL projects_0_name String Investigating the influence of thermal history on coral growth response to recent and predicted end-of-century ocean warming across a cascade of ecological scales
attribute NC_GLOBAL projects_0_project_nid String 635863
attribute NC_GLOBAL projects_0_project_website String http://www.unc.edu/~kdcastil/research.html (external link)
attribute NC_GLOBAL projects_0_start_date String 2015-03
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 standard_name_vocabulary String CF Standard Name Table v55
attribute NC_GLOBAL summary String This dataset contains sea surface temperature data obtained from daily 1-km horizontal resolution SST estimates acquired from the Jet Propulsion Laboratory\u2019s Multi-Scale High Resolution SST (JPL MUR SST) records via the Physical Oceanography Distributed Active Archive Center (PO.DAAC) at the NASA JPL, Pasadena, CA (https://podaac.jpl.nasa.gov).\r\n\r\nNOTE: Data from 2012 are given twice at each site; only the first set, along with the 2003-2011 data, was used in the original analysis in Baumann et al (2016). The 2012-2015 data were only available following revision in the peer review process. It became useful for making comparisons between the in-situ data and satellite data.\r\n\r\nThese data were used in a coral study in: Baumann JH, Townsend JE, Courtney TA, Aichelman HE, Davies SW, Lima FP, et al. (2016) Temperature Regimes Impact Coral Assemblages along Environmental Gradients on Lagoonal Reefs in Belize. PLoS ONE 11(9): e0162098. https://doi.org/10.1371/journal.pone.0162098.
attribute NC_GLOBAL title String [MBRS SST 2003-2015: MUR] - Sea surface temperature JPL MUR data, Belize Mesoamerican Barrier Reef System (MBRS), 2003-2015 (Investigating the influence of thermal history on coral growth response to recent and predicted end-of-century ocean warming across a cascade of ecological scales)
attribute NC_GLOBAL version String 1
attribute NC_GLOBAL Westernmost_Easting double -88.629
attribute NC_GLOBAL xml_source String osprey2erddap.update_xml() v1.3
variable site   byte  
attribute site _FillValue byte 127
attribute site actual_range byte 1, 14
attribute site bcodmo_name String site
attribute site description String site identifier
attribute site long_name String Site
attribute site units String unitless
variable lat   float  
attribute lat _FillValue float NaN
attribute lat actual_range float 16.13, 17.824
attribute lat bcodmo_name String latitude
attribute lat colorBarMaximum double 90.0
attribute lat colorBarMinimum double -90.0
attribute lat description String latitude; north is positive
attribute lat long_name String Latitude
attribute lat nerc_identifier String https://vocab.nerc.ac.uk/collection/P09/current/LATX/ (external link)
attribute lat standard_name String latitude
attribute lat units String decimal degrees
variable longitude   double  
attribute longitude _CoordinateAxisType String Lon
attribute longitude _FillValue double NaN
attribute longitude actual_range double -88.629, -88.002
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; east is positive
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/ (external link)
attribute longitude source_name String long
attribute longitude standard_name String longitude
attribute longitude units String degrees_east
variable date   String  
attribute date bcodmo_name String date
attribute date description String date; formatted as yyyy-mm-dd
attribute date long_name String Date
attribute date nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/ (external link)
attribute date source_name String date
attribute date time_precision String 1970-01-01
attribute date units String unitless
variable temp   float  
attribute temp _FillValue float NaN
attribute temp actual_range float 23.95, 31.664
attribute temp bcodmo_name String temperature
attribute temp description String daily 1-km horizontal resolution sea surface temperature estimate from the Jet Propulsion Laboratory's Multi-Scale High Resolution SST (JPL MUR SST)
attribute temp long_name String Temperature
attribute temp nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/ (external link)
attribute temp units String degrees Celsius
variable temp_se   float  
attribute temp_se _FillValue float NaN
attribute temp_se actual_range float 0.0, 0.42
attribute temp_se bcodmo_name String temperature
attribute temp_se description String temperature standard error
attribute temp_se long_name String Temp Se
attribute temp_se nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/ (external link)
attribute temp_se units String degrees Celsius

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.


 
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