Dataset: MBRS SST 2003-2015: MUR

Name: Sea surface temperature JPL MUR data, Belize Mesoamerican Barrier Reef System (MBRS), 2003-2015
Published: 2018-04-16
Keywords: oceans

Cite This Dataset

DOI:10.1575/1912/bco-dmo.734406.1

Spatial Extent: N:17.824 E:-88.002 S:16.13 W:-88.629

Temporal Extent: 2003-01-01 - 2015-11-18

Project:

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 (Thermal History and Coral Growth)

Principal Investigator:

Karl D. Castillo (University of North Carolina at Chapel Hill, UNC-Chapel Hill)

Student:

Justin Baumann (University of North Carolina at Chapel Hill, UNC-Chapel Hill)

Contact:

Justin Baumann (University of North Carolina at Chapel Hill, UNC-Chapel Hill)

BCO-DMO Data Manager:

Nancy Copley (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Version:

Version Date:

2018-04-16

Restricted:

Validated:

Yes

Current State:

Final no updates expected

Sea surface temperature JPL MUR data, Belize Mesoamerican Barrier Reef System (MBRS), 2003-2015

Abstract:

This dataset contains sea surface temperature data obtained from daily 1-km horizontal resolution SST estimates acquired from the Jet Propulsion Laboratory’s 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 (http://podaac.jpl.nasa.gov). 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). 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. These 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.

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Archival Copy

Version Date	Archive	Persistent Identifier (PID)	Date PID Issued
2018-04-16	Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)	10.1575/1912/bco-dmo.734406.1	2019-12-11

Description

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). 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.

These data were used in a coral study in: Baumann et al. (2016) https://doi.org/10.1371/journal.pone.0162098.

Methods & Sampling

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® 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.

Data Processing Description

BCO-DMO Processing Notes:
- added conventional header with dataset name, PI name, version date
- modified parameter names to conform with BCO-DMO naming conventions
- too many columns to serve in BCO-DMO system, so transformed date columns to rows

Data Files

File
Baumann_2016_SST_join.csv (Comma Separated Values (.csv), 2.37 MB) MD5:e67da32a8c267c76669abdf4570dc8b0 Primary data file for dataset ID 734406

More Information about this dataset

Funding Sources

Funding Source	Award Number
NSF Division of Ocean Sciences	OCE-1459522

Deployments

None available yet

Instruments

Advanced Very High Resolution Radiometer

Supplied Name:

Supplied Description:

One of several instruments used by NASA to produce sea surface temperature data products.

Instrument Type

Generic Name: Advanced Very High Resolution Radiometer

Acronym: AVHRR

Community Identifier: http://vocab.nerc.ac.uk/collection/L05/current/122/

Generic Description:

"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).

Parameters

Date and time formats are described in python strftime() syntax.

Supplied Name	Supplied description	Supplied Units	Standard Name
site	site identifier	unitless	site
lat	latitude; north is positive	decimal degrees	lat
long	longitude; east is positive	decimal degrees	lon
date	date; formatted as yyyy-mm-dd	unitless	date
temp	daily 1-km horizontal resolution sea surface temperature estimate from the Jet Propulsion Laboratory's Multi-Scale High Resolution SST (JPL MUR SST)	degrees Celsius	temp
temp_se	temperature standard error	degrees Celsius	temp