ERDDAP > info > bcodmo_dataset_734406

Grid DAP Data	Sub- set	Table DAP Data	Make A Graph	W M S	Source Data Files	Acces- sible	Title	Sum- mary	ISO, Metadata	Back- ground Info	RSS	E mail	Institution	Dataset ID
		data	graph		files	public	Sea surface temperature JPL MUR data, Belize Mesoamerican Barrier Reef System (MBRS), 2003- 2015		I   M	background			BCO-DMO	bcodmo_dataset_734406

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
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/
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
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/
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
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/734406
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
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
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	Sea surface temperature JPL MUR data, Belize Mesoamerican Barrier Reef System (MBRS), 2003-2015
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/
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/
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/
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/
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/
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.