Data

IMOS - Satellite Remote Sensing - MODIS - 01 day - Net Primary Productivity (GSM model and Eppley-VGPM algorithm)

Integrated Marine Observing System
Integrated Marine Observing System (IMOS)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://catalogue-imos.aodn.org.au:443/geonetwork/srv/api/records/27cc65c0-d453-4ba3-a0d6-55e4449fee8c&rft.title=IMOS - Satellite Remote Sensing - MODIS - 01 day - Net Primary Productivity (GSM model and Eppley-VGPM algorithm)&rft.identifier=https://catalogue-imos.aodn.org.au:443/geonetwork/srv/api/records/27cc65c0-d453-4ba3-a0d6-55e4449fee8c&rft.description=The Aqua satellite platform carries a MODIS sensor that observes sunlight reflected from within the ocean surface layer at multiple wavelengths. These multi-spectral measurements are used to infer the concentration of chlorophyll-a (Chl-a), most typically due to phytoplankton, present in the water. Modelling is then used to compute an estimate of the Net Primary Productivity (NPP).The model used is based on the standard vertically generalised production model (VGPM). The VGPM is a chlorophyll-based model that estimates net primary production from chlorophyll using a temperature-dependent description of chlorophyll-specific photosynthetic efficiency. For the VGPM, net primary production is a function of chlorophyll, available light, and the photosynthetic efficiency. The only difference between the Standard VGPM and the Eppley-VGPM is the temperature-dependent description of photosynthetic efficiencies, with the Eppley approach using an exponential function to account for variation in photosynthetic efficiencies due to photoacclimation. The similarity between these models (VGPM vs E_VGPM) is described more extensively in a paper by Elena-Carr et al (2006.). VGPM is a Depth Integrated Model(DIM) described by Behrenfeld and Falkowski (1997), with modification due to Eppley (1972) as implemented by Antoine and Morel (1996).There are multiple retrieval algorithms for estimating Chl-a. These data (eppley_npp_chl_gsm) use the Garver-Siegel-Maritorena (GSM) method implemented in the SeaDAS processing software l2gen and described in “Chapter 11, and references therein, of IOCCG Report 5, 2006, (http://ioccg.org/wp-content/uploads/2015/10/ioccg-report-05.pdf). This product is recommended for use in the VGPM model. The product Eppley_NPP_chl_gsm is experimental, in the sense that it is challenging to validate due to the scarcity of insitu measurments. It should only be used with caution informed by understanding of the algorithms.Production of contemporary MODIS data ceased at 2024/12/26. Users requiring similar Ocean Colour Radiometry data beyond 2024 should consider the VIIRS instruments on the SNPP and NOAA20+ series of satellites, also provided by IMOS.Statement: The radiometric sensitivity of the MODIS sensor is evolving continuously during its mission and is monitored regularly by NASA. The SeaDAS software uses tables of calibration coefficients that are updated periodically. From time to time upgrades to the algorithms and/or the format of the calibration tables are required, in which case a new version of SeaDAS is released. These data were updated on 1 September 2020 to use processing in SeaDAS v7.5 and between 2002/07/04 and 2022/06/30 are consistent with the R2018.0 reprocessing (https://oceancolor.gsfc.nasa.gov/reprocessing/r2018/aqua/). Data between 2022/07/01-2023/01/31 and then from 2023/02/01 onwards, have been processed with two more recent releases of SeaDAS and are yet to be fully verified for consistency with NASA’s most recent processing(s). Production of contemporary MODIS data ceased at 2024/12/26. Users requiring similar Ocean Colour Radiometry data beyond 2024 should consider the VIIRS instruments on the SNPP and NOAA20+ series of satellites, also provided by IMOS. It is anticipated that during 2025 IMOS will complete a reprocessing of the entire MODIS archive from 2002/07/04 – 2024/12/26 that will be consistent throughout with the latest recommended NASA processing version. The data are produced by combining the near real time (nrt) data stream from all the available direct broadcast reception stations in Australia with delayed-mode data from NASA in the US. The data have been remapped from satellite projection into a geographic (Latitude/Longitude axes) projection (0.01 degree sampling) and are presented as a sequence of daily mosaics covering the region (80 &rft.creator=Integrated Marine Observing System (IMOS) &rft.date=2014&rft.coverage=westlimit=80.00; southlimit=-60.00; eastlimit=179.90; northlimit=10.00&rft.coverage=westlimit=80.00; southlimit=-60.00; eastlimit=179.90; northlimit=10.00&rft_rights=Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/&rft_rights=The citation in a list of references is: IMOS [year-of-data-download], [Title], [data-access-URL], accessed [date-of-access].&rft_rights=Any users of IMOS data are required to clearly acknowledge the source of the material derived from IMOS in the format: Data was sourced from Australia’s Integrated Marine Observing System (IMOS) – IMOS is enabled by the National Collaborative Research Infrastructure strategy (NCRIS). If relevant, also credit other organisations involved in collection of this particular datastream (as listed in 'credit' in the metadata record).&rft_rights=Data, products and services from IMOS are provided as is without any warranty as to fitness for a particular purpose.&rft_subject=oceans&rft_subject=OCEAN COLOR&rft_subject=EARTH SCIENCE&rft_subject=OCEANS&rft_subject=OCEAN OPTICS&rft_subject=CHLOROPHYLL&rft_subject=OCEAN CHEMISTRY&rft_subject=Global / Oceans | Indian Ocean&rft_subject=Global / Oceans | Southern Ocean&rft_subject=Global / Oceans | Pacific Ocean&rft_subject=Marine Features (Australia) | Great Australian Bight, SA/WA&rft_subject=Marine Features (Australia) | Bass Strait, TAS/VIC&rft_subject=Regional Seas | Tasman Sea&rft_subject=Regional Seas | Coral Sea&rft_subject=Regional Seas | Solomon Sea&rft_subject=Regional Seas | Arafura Sea&rft_subject=Regional Seas | Timor Sea&rft_subject=Regional Seas | Banda Sea&rft_subject=Regional Seas | Java Sea&rft_subject=Regional Seas | Philippine Sea&rft_subject=Regional Seas | Celebes Sea&rft_subject=Regional Seas | South China Sea&rft_subject=Marine Features | Strait of Malacca&rft_subject=Regional Seas | Gulf of Thailand&rft_subject=Regional Seas | Andaman Sea&rft_subject=Countries | Malaysia&rft_subject=States, Territories (Australia) | Victoria&rft_subject=States, Territories (Australia) | Western Australia&rft_subject=States, Territories (Australia) | Tasmania&rft_subject=Countries | Thailand&rft_subject=States, Territories (Australia) | Northern Territory&rft_subject=Countries | Vanuatu&rft_subject=States, Territories (Australia) | New South Wales&rft_subject=Countries | Philippines&rft_subject=States, Territories (Australia) | Queensland&rft_subject=Countries | Vietnam&rft_subject=Countries | Timor-Leste&rft_subject=Countries | Fiji&rft_subject=States, Territories (Australia) | South Australia&rft_subject=Countries | Singapore&rft_subject=Countries | Indonesia&rft_subject=Countries | Australia&rft_subject=Countries | Papua New Guinea&rft_subject=Countries | New Caledonia&rft_subject=Countries | New Zealand&rft_subject=Aqua&rft_subject=Concentration of inferred chlorophyll from relative fluorescence per unit volume of the water body&rft_subject=ocean colour radiometers&rft_subject=Ocean Colour Sub-Facility, Integrated Marine Observing System (IMOS)&rft.type=dataset&rft.language=English Access the data
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Licence & Rights:

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CC-BY

Creative Commons Attribution 4.0 International License
http://creativecommons.org/licenses/by/4.0/

The citation in a list of references is: "IMOS [year-of-data-download], [Title], [data-access-URL], accessed [date-of-access]."

Any users of IMOS data are required to clearly acknowledge the source of the material derived from IMOS in the format: "Data was sourced from Australia’s Integrated Marine Observing System (IMOS) – IMOS is enabled by the National Collaborative Research Infrastructure strategy (NCRIS)." If relevant, also credit other organisations involved in collection of this particular datastream (as listed in 'credit' in the metadata record).

Data, products and services from IMOS are provided "as is" without any warranty as to fitness for a particular purpose.

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Full description

The Aqua satellite platform carries a MODIS sensor that observes sunlight reflected from within the ocean surface layer at multiple wavelengths. These multi-spectral measurements are used to infer the concentration of chlorophyll-a (Chl-a), most typically due to phytoplankton, present in the water. Modelling is then used to compute an estimate of the Net Primary Productivity (NPP).

The model used is based on the standard vertically generalised production model (VGPM). The VGPM is a "chlorophyll-based" model that estimates net primary production from chlorophyll using a temperature-dependent description of chlorophyll-specific photosynthetic efficiency. For the VGPM, net primary production is a function of chlorophyll, available light, and the photosynthetic efficiency. The only difference between the Standard VGPM and the Eppley-VGPM is the temperature-dependent description of photosynthetic efficiencies, with the Eppley approach using an exponential function to account for variation in photosynthetic efficiencies due to photoacclimation. The similarity between these models (VGPM vs E_VGPM) is described more extensively in a paper by Elena-Carr et al (2006.). VGPM is a Depth Integrated Model(DIM) described by Behrenfeld and Falkowski (1997), with modification due to Eppley (1972) as implemented by Antoine and Morel (1996).

There are multiple retrieval algorithms for estimating Chl-a. These data (eppley_npp_chl_gsm) use the Garver-Siegel-Maritorena (GSM) method implemented in the SeaDAS processing software l2gen and described in “Chapter 11, and references therein, of IOCCG Report 5, 2006, (http://ioccg.org/wp-content/uploads/2015/10/ioccg-report-05.pdf). This product is recommended for use in the VGPM model. The product Eppley_NPP_chl_gsm is experimental, in the sense that it is challenging to validate due to the scarcity of insitu measurments. It should only be used with caution informed by understanding of the algorithms.

Production of contemporary MODIS data ceased at 2024/12/26. Users requiring similar Ocean Colour Radiometry data beyond 2024 should consider the VIIRS instruments on the SNPP and NOAA20+ series of satellites, also provided by IMOS.

Lineage

Statement: The radiometric sensitivity of the MODIS sensor is evolving continuously during its mission and is monitored regularly by NASA. The SeaDAS software uses tables of calibration coefficients that are updated periodically. From time to time upgrades to the algorithms and/or the format of the calibration tables are required, in which case a new version of SeaDAS is released. These data were updated on 1 September 2020 to use processing in SeaDAS v7.5 and between 2002/07/04 and 2022/06/30 are consistent with the R2018.0 reprocessing (https://oceancolor.gsfc.nasa.gov/reprocessing/r2018/aqua/). Data between 2022/07/01-2023/01/31 and then from 2023/02/01 onwards, have been processed with two more recent releases of SeaDAS and are yet to be fully verified for consistency with NASA’s most recent processing(s). Production of contemporary MODIS data ceased at 2024/12/26. Users requiring similar Ocean Colour Radiometry data beyond 2024 should consider the VIIRS instruments on the SNPP and NOAA20+ series of satellites, also provided by IMOS. It is anticipated that during 2025 IMOS will complete a reprocessing of the entire MODIS archive from 2002/07/04 – 2024/12/26 that will be consistent throughout with the latest recommended NASA processing version. The data are produced by combining the near real time (nrt) data stream from all the available direct broadcast reception stations in Australia with delayed-mode data from NASA in the US. The data have been remapped from satellite projection into a geographic (Latitude/Longitude axes) projection (0.01 degree sampling) and are presented as a sequence of daily mosaics covering the region (80 <= Longitude <= 180, -60 <= Latitude <= +10) formatted as CF-compliant netCDF files. It should be noted that the data are not processed until the definitive spacecraft ephemeris becomes available, usually 12-24 hours after the overpass. This means that the geolocation should be of a uniformly high standard. The filenames are of the form A.P1D.TZ...nc, where 'A" denotes the Aqua/MODIS sensor, 'P1D' is a period of 1 day, 'TZ' is the UTC date+time of the centre of the compositing interval, '' is the area covered (normally 'aust' for Australasia). '' is the name of the data product and 'nc' denotes a netCDF format file. Files are written in netCDF4 format with compression.

Notes

Credit
Australia’s Integrated Marine Observing System (IMOS) is enabled by the National Collaborative Research Infrastructure Strategy (NCRIS). It is operated by a consortium of institutions as an unincorporated joint venture, with the University of Tasmania as Lead Agent.
Credit
CSIRO Oceans and Atmosphere
Credit
Curtin University

Created: 04 11 2014

Data time period: 07 2002 to 2024-12-26

This dataset is part of a larger collection

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179.9,10 179.9,-60 80,-60 80,10 179.9,10

129.95,-25

text: westlimit=80.00; southlimit=-60.00; eastlimit=179.90; northlimit=10.00

Subjects
Aqua | Chlorophyll | Concentration of inferred chlorophyll from relative fluorescence per unit volume of the water body | Countries | Australia | Countries | Fiji | Countries | Indonesia | Countries | Malaysia | Countries | New Caledonia | Countries | New Zealand | Countries | Papua New Guinea | Countries | Philippines | Countries | Singapore | Countries | Thailand | Countries | Timor-Leste | Countries | Vanuatu | Countries | Vietnam | EARTH SCIENCE | Global / Oceans | Indian Ocean | Global / Oceans | Pacific Ocean | Global / Oceans | Southern Ocean | Marine Features (Australia) | Bass Strait, TAS/VIC | Marine Features (Australia) | Great Australian Bight, SA/WA | Marine Features | Strait of Malacca | OCEAN CHEMISTRY | Ocean Color | OCEAN OPTICS | OCEANS | Ocean Colour Sub-Facility, Integrated Marine Observing System (IMOS) | Regional Seas | Andaman Sea | Regional Seas | Arafura Sea | Regional Seas | Banda Sea | Regional Seas | Celebes Sea | Regional Seas | Coral Sea | Regional Seas | Gulf of Thailand | Regional Seas | Java Sea | Regional Seas | Philippine Sea | Regional Seas | Solomon Sea | Regional Seas | South China Sea | Regional Seas | Tasman Sea | Regional Seas | Timor Sea | States, Territories (Australia) | New South Wales | States, Territories (Australia) | Northern Territory | States, Territories (Australia) | Queensland | States, Territories (Australia) | South Australia | States, Territories (Australia) | Tasmania | States, Territories (Australia) | Victoria | States, Territories (Australia) | Western Australia | ocean colour radiometers | oceans |

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Other Information
(NetCDF files via THREDDS catalog)

uri : http://thredds.aodn.org.au/thredds/catalog/IMOS/SRS/OC/gridded/aqua/P1D/catalog.html

(Satellite Remote Sensing page on IMOS website)

uri : http://imos.org.au/srs.html

(View and download data though the AODN Portal)

uri : https://portal.aodn.org.au/search?uuid=27cc65c0-d453-4ba3-a0d6-55e4449fee8c

SRS - OC GSM - WMS layer (srs_oc_aqua_npp_vgpm_eppley_gsm_url/npp_vgpm_eppley_gsm)

uri : http://geoserver-123.aodn.org.au/geoserver/ncwms

The GoGoDuck subsets and aggregates gridded data. Data is returned as a NetCDF file. (srs_oc_aqua_npp_vgpm_eppley_gsm_url)

uri : https://processes.aodn.org.au/wps

(GoGoDuck help documentation)

uri : https://help.aodn.org.au/web-services/gogoduck-aggregator/

The ncUrlList is a WFS service that returns a list of URLs matching a query. (srs_oc_aqua_npp_vgpm_eppley_gsm_url#file_url)

uri : http://geoserver-123.aodn.org.au/geoserver/ows

(ncUrlList help documentation)

uri : https://help.aodn.org.au/web-services/ncurllist-service/

(Access To AWS Open Data Program registry for the Cloud Optimised version of this dataset)

uri : https://registry.opendata.aws/aodn_satellite_net_primary_productivity_gsm_1day_aqua/

(Access to Jupyter notebook to query Cloud Optimised converted dataset)

uri : https://nbviewer.org/github/aodn/aodn_cloud_optimised/blob/main/notebooks/satellite_net_primary_productivity_gsm_1day_aqua.ipynb

global : 8209bf83-0c3c-4fbe-9f36-41f7a5ee9913

Identifiers
  • global : 27cc65c0-d453-4ba3-a0d6-55e4449fee8c