Estimation of Phytoplankton Responses to Hurricane Gonu over the Arabian Sea Based on Ocean Color Data
Abstract
:1. Introduction
2. Data and Methodology
2.1. Satellite Products and Hurricane Data
2.2. Hydrographic Data
2.3 Methodology
Sea Surface Wind Vectors (SSWVs)
Ekman Pumping Velocity (EPV)
Mixed Layer Depth (MLD)
Chl-a Concentrations
Time Series of Satellite Data
3. Results
3.1. Hurricane Gonu Viewed by QuikSCAT Sensor
3.2. Oceanic Responses
SST
EPV
Vertical Profiles of Temperature and Salinity
Phytoplankton and TSS
4. Discussions
4.1. Overall Increase of Phytoplankton in the Arabian Sea
4.2. Different Intensities of the Two Chl-a Blooms
5. Summary
Acknowledgments
References and Notes
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Parameter | The whole passage | Box A | Box B |
---|---|---|---|
Mean moving speed* | 3.9 | 3.4 | 3.2 |
Range of moving speed* | 2.1-4.9 | 2.7-4.4 | 2. 2-3.8 |
MSW | 72 | 67 | 72 |
Mean MSW | 61 | 55 | 56 |
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Wang, D.; Zhao, H. Estimation of Phytoplankton Responses to Hurricane Gonu over the Arabian Sea Based on Ocean Color Data. Sensors 2008, 8, 4878-4893. https://doi.org/10.3390/s8084878
Wang D, Zhao H. Estimation of Phytoplankton Responses to Hurricane Gonu over the Arabian Sea Based on Ocean Color Data. Sensors. 2008; 8(8):4878-4893. https://doi.org/10.3390/s8084878
Chicago/Turabian StyleWang, Dongxiao, and Hui Zhao. 2008. "Estimation of Phytoplankton Responses to Hurricane Gonu over the Arabian Sea Based on Ocean Color Data" Sensors 8, no. 8: 4878-4893. https://doi.org/10.3390/s8084878