Synergistic Use of Remote Sensing and Modeling for Estimating Net Primary Productivity in the Red Sea With VGPM, Eppley-VGPM, and CbPM Models Intercomparison

Primary productivity (PP) has been recently investigated using remote sensing-based models over quite limited geographical areas of the Red Sea. This work sheds light on how phytoplankton and primary production would react to the effects of global warming in the extreme environment of the Red Sea an...

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Bibliographic Details
Published in:IEEE transactions on geoscience and remote sensing 2020-12, Vol.58 (12), p.8717-8734
Main Authors: Li, Wenzhao, Tiwari, Surya Prakash, El-Askary, Hesham Mohamed, Qurban, Mohammed Ali, Amiridis, Vassilis, ManiKandan, K. P., Garay, Michael J., Kalashnikova, Olga V., Piechota, Thomas C., Struppa, Daniele C.
Format: Article
Language:English
Subjects:
Anomalies
Atmospheric forcing
Atmospheric modeling
Atmospheric models
Biological system modeling
Carbon emissions
CbPM
Chlorophyll
Chlorophyll a
Climate
Climate change
climate indices
Climate models
Climate variability
Correlation analysis
Dipoles
El Nino
El Nino phenomena
Eppley-vertically generalized production model (VGPM)
Extreme environments
Global warming
Intercomparison
Meteorology
Mixed layer
Mixed layer depth
Multivariate analysis
Net Primary Productivity
North Atlantic Oscillation
ocean color
Ocean temperature
Ocean-atmosphere system
Phytoplankton
Primary production
Productivity
Red Sea
Regression analysis
Remote sensing
Satellite observation
Satellites
Sea surface
Sea surface temperature
Seasonal variations
Southern Oscillation
VGPM
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Summary:Primary productivity (PP) has been recently investigated using remote sensing-based models over quite limited geographical areas of the Red Sea. This work sheds light on how phytoplankton and primary production would react to the effects of global warming in the extreme environment of the Red Sea and, hence, illuminates how similar regions may behave in the context of climate variability. study focuses on using satellite observations to conduct an intercomparison of three net primary production (NPP) models-the vertically generalized production model (VGPM), the Eppley-VGPM, and the carbon-based production model (CbPM)-produced over the Red Sea domain for the 1998-2018 time period. A detailed investigation is conducted using multilinear regression analysis, multivariate visualization, and moving averages correlative analysis to uncover the models' responses to various climate factors. Here, we use the models' eight-day composite and monthly averages compared with satellite-based variables, including chlorophyll-a (Chla), mixed layer depth (MLD), and sea-surface temperature (SST). Seasonal anomalies of NPP are analyzed against different climate indices, namely, the North Pacific Gyre Oscillation (NPGO), the multivariate ENSO Index (MEI), the Pacific Decadal Oscillation (PDO), the North Atlantic Oscillation (NAO), and the Dipole Mode Index (DMI). In our study, only the CbPM showed significant correlations with NPGO, MEI, and PDO, with disagreements relative to the other two NPP models. This can be attributed to the models' connection to oceanographic and atmospheric parameters, as well as the trends in the southern Red Sea, thus calling for further validation efforts.
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2020.2990373