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

Authors

Wenzhao Li, Chapman UniversityFollow
Surya Prakash Tiwari, King Fahd University of Petroleum and Minerals
Hesham el-Askary, Chapman UniversityFollow
Mohamed Ali Qurban, Ministry of Environment, Water and Agriculture, Saudi Arabia
Vassilis Amiridis, National Observatory of Athens
K. P. Manikandan, King Fahd University of Petroleum and Minerals
Michael J. Garay, NASA Jet Propulsion Laboratory
Olga V. Kalashnikova, NASA Jet Propulsion Laboratory
Thomas C. Piechota, Chapman UniversityFollow
Daniele C. Struppa, Chapman UniversityFollow

Document Type

Article

Publication Date

5-11-2020

Abstract

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.

Comments

This is a pre-copy-editing, author-produced PDF of an article accepted for publication in IEEE Transactions on Geoscience and Remote Sensing in 2020 following peer review. The definitive publisher-authenticated version is available online at https://doi.org/10.1109/TGRS.2020.2990373.

Recommended Citation

W. Li et al., "Synergistic Use of Remote Sensing and Modeling for Estimating Net Primary Productivity in the Red Sea With VGPM, Eppley-VGPM, and CbPM Models Intercomparison," in IEEE Transactions on Geoscience and Remote Sensing, https://doi.org/10.1109/TGRS.2020.2990373.

Peer Reviewed

1

Copyright

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