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Assessing the presence of discontinuities in the ocean color satellite record and their effects on chlorophyll trends and their uncertainties

Assessing the presence of discontinuities in the ocean color satellite record and their effects on chlorophyll trends and their uncertainties
Assessing the presence of discontinuities in the ocean color satellite record and their effects on chlorophyll trends and their uncertainties

Ocean color sensors are crucial for understanding global phytoplankton dynamics. However, the limited life spans of sensors make multisensor data sets necessary for estimating long-term trends. Discontinuities may be introduced when merging data between sensors, potentially affecting trend estimates and their uncertainties. We use a Bayesian spatiotemporal model to investigate the presence of discontinuities and their impacts on estimated chlorophyll trends. The discontinuities considered are the introduction of Medium Resolution Imaging Spectrometer, Moderate Resolution Imaging Spectroradiometer-Aqua, and Visible Infrared Imaging Radiometer Suite and the termination of Sea-Viewing Wide Field-of-View Sensor. Discontinuities are detected in ~70% of regions, affecting trend estimates (~60% of regions have statistically different trends) and potentially even biasing trend estimates (opposite sign in ~13% of regions). Considering a single discontinuity increases trend uncertainty by an average of 0.20%/year (0.59%/year for two discontinuities). This difference in trend magnitude and uncertainty highlights the importance of minimizing discontinuities in multisensor records and taking into account discontinuities when analyzing trends.

Bayesian statistics, chlorophyll, discontinuities, spatiotemporal modeling, trend estimation
0094-8276
7654-7662
Hammond, Matthew L.
5c6509e8-0e13-4afa-9b8f-b8601462a93b
Beaulieu, Claudie
13ae2c11-ebfe-48d9-bda9-122cd013c021
Henson, Stephanie A.
d6532e17-a65b-4d7b-9ee3-755ecb565c19
Sahu, Sujit K.
33f1386d-6d73-4b60-a796-d626721f72bf
Hammond, Matthew L.
5c6509e8-0e13-4afa-9b8f-b8601462a93b
Beaulieu, Claudie
13ae2c11-ebfe-48d9-bda9-122cd013c021
Henson, Stephanie A.
d6532e17-a65b-4d7b-9ee3-755ecb565c19
Sahu, Sujit K.
33f1386d-6d73-4b60-a796-d626721f72bf

Hammond, Matthew L., Beaulieu, Claudie, Henson, Stephanie A. and Sahu, Sujit K. (2018) Assessing the presence of discontinuities in the ocean color satellite record and their effects on chlorophyll trends and their uncertainties. Geophysical Research Letters, 45 (15), 7654-7662. (doi:10.1029/2017GL076928).

Record type: Article

Abstract

Ocean color sensors are crucial for understanding global phytoplankton dynamics. However, the limited life spans of sensors make multisensor data sets necessary for estimating long-term trends. Discontinuities may be introduced when merging data between sensors, potentially affecting trend estimates and their uncertainties. We use a Bayesian spatiotemporal model to investigate the presence of discontinuities and their impacts on estimated chlorophyll trends. The discontinuities considered are the introduction of Medium Resolution Imaging Spectrometer, Moderate Resolution Imaging Spectroradiometer-Aqua, and Visible Infrared Imaging Radiometer Suite and the termination of Sea-Viewing Wide Field-of-View Sensor. Discontinuities are detected in ~70% of regions, affecting trend estimates (~60% of regions have statistically different trends) and potentially even biasing trend estimates (opposite sign in ~13% of regions). Considering a single discontinuity increases trend uncertainty by an average of 0.20%/year (0.59%/year for two discontinuities). This difference in trend magnitude and uncertainty highlights the importance of minimizing discontinuities in multisensor records and taking into account discontinuities when analyzing trends.

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Assessing the presence of discontinuities in the ocean color satellite record and their effects on chlorophyll trends and their uncertainties’ - Accepted Manuscript
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Accepted/In Press date: 11 July 2018
e-pub ahead of print date: 3 August 2018
Published date: 16 August 2018
Keywords: Bayesian statistics, chlorophyll, discontinuities, spatiotemporal modeling, trend estimation

Identifiers

Local EPrints ID: 423146
URI: https://eprints.soton.ac.uk/id/eprint/423146
ISSN: 0094-8276
PURE UUID: dd6af93f-e106-4bb0-b029-9c41340a6906
ORCID for Matthew L. Hammond: ORCID iD orcid.org/0000-0002-8918-2351
ORCID for Sujit K. Sahu: ORCID iD orcid.org/0000-0003-2315-3598

Catalogue record

Date deposited: 19 Sep 2018 11:04
Last modified: 14 Mar 2019 05:03

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Contributors

Author: Matthew L. Hammond ORCID iD
Author: Sujit K. Sahu ORCID iD

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