All scientific data collected by the Australian Antarctic program (AAp) are eventually described in the Catalogue of Australian Antarctic and Subantarctic Metadata (CAASM). CAASM can be used to search through AAp data descriptions, and it also provides links to access publicly available datasets, which can either be immediately downloaded or obtained from the Australian Antarctic Data Centre (AADC).

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Citation
Johnson, R., Sumner, M. and Raymond, B. (2017) Southern Ocean summer chlorophyll-a climatology, Ver. 1, Australian Antarctic Data Centre - doi:10.4225/15/5906b48f70bf9, Accessed: 2022-12-04
Title
Southern Ocean summer chlorophyll-a climatology
Data Centre
Australian Antarctic Data Centre, Australia
DOI
doi:10.4225/15/5906b48f70bf9
Created Date
2017-04-26
Revision Date
2017-04-26
Parent record
None

Description

This dataset is a climatological summer chlorophyll-a layer for the Southern Ocean south of 40S, following the OC3M algorithm of Johnson et al. (2013). The climatology was calculated from level-3 binned MODISA RRS products spanning the 2002/03 to 2015/16 austral summer seasons (summer taken as day 355 to day 80).

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Purpose

From the abstract of the published paper: Remote sensing of Southern Ocean chlorophyll concentrations is the most effective way to detect large-scale changes in phytoplankton biomass driven by seasonality and climate change. However, the current algorithms for the Sea-viewing Wide Field-of-view Sensor (SeaWiFS, algorithm OC4v6), the Moderate Resolution Imaging Spectroradiometer (MODIS-Aqua, algorithm OC3M), and GlobColour significantly underestimate chlorophyll concentrations at high latitudes. Here, we use a long-term data set from the Southern Ocean (20 degrees - 160 degrees E) to develop more accurate algorithms for all three of these products in southern high-latitude regions. These new algorithms improve in situ versus satellite chlorophyll coefficients of determination (r 2 ) from 0.27 to 0.46, 0.26 to 0.51, and 0.25 to 0.27, for OC4v6, OC3M, and GlobColour, respectively, while addressing the underestimation problem. This study also revealed that pigment composition, which reflects species composition and physiology, is key to understanding the reasons for satellite chlorophyll underestimation in this region. These significantly improved algorithms will permit more accurate estimates of standing stocks and more sensitive detection of spatial and temporal changes in those stocks, with consequences for derived products such as primary production and carbon cycling.

Access

These data are publicly available for download from the provided URL.

Temporal Coverages

Spatial Coverages

Data Resolution

Latitude Resolution:
9 Kilometre(s)
Longitude Resolution:
9 Kilometre(s)

Science Keywords

Additional Keywords

  • Chlorophyll
  • Phytoplankton biomass

Locations

  • GEOGRAPHIC REGION > POLAR
  • OCEAN > SOUTHERN OCEAN

Platforms

  • Earth Observing System, AQUA

Instruments

    None

Researchers

  • johnson, rob (INVESTIGATOR,TECHNICAL CONTACT)
  • sumner, michael (INVESTIGATOR,TECHNICAL CONTACT)
  • raymond, ben (TECHNICAL CONTACT,DIF AUTHOR)

Use Constraints

When using these data, please cite: Johnson R, Strutton PG, Wright SW, McMinn A, Meiners KM (2013), Three improved satellite chlorophyll algorithms for the Southern Ocean. J Geophys Res Oceans 118:3694-3703. doi:10.1002/jgrc.20270

This data set conforms to the CCBY Attribution License (http://creativecommons.org/licenses/by/4.0/).

Please follow instructions listed in the citation reference provided at http://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=AAS_4343_so_chlorophyll when using these data.

Creative Commons License