Records |
Author |
Zhang, M.; Zhang, Y.; Shu, Q.; Zhao, C.; Wang, G.; Wu, Z.; Qiao, F. |
Title |
Spatiotemporal evolution of the chlorophyll a trend in the North Atlantic Ocean |
Type |
$loc['typeJournal Article'] |
Year |
2018 |
Publication |
The Science of the Total Environment |
Abbreviated Journal |
Sci Total Environ |
Volume |
612 |
Issue |
|
Pages |
1141-1148 |
Keywords |
Chlorophyll a; Dipole pattern; Multidimensional ensemble empirical mode decomposition; Propagation; Spatiotemporal evolution; The variable trend |
Abstract |
Analyses of the chlorophyll a concentration (chla) from satellite ocean color products have suggested the decadal-scale variability of chla linked to the climate change. The decadal-scale variability in chla is both spatially and temporally non-uniform. We need to understand the spatiotemporal evolution of chla in decadal or multi-decadal timescales to better evaluate its linkage to climate variability. Here, the spatiotemporal evolution of the chla trend in the North Atlantic Ocean for the period 1997-2016 is analyzed using the multidimensional ensemble empirical mode decomposition method. We find that this variable trend signal of chla shows a dipole pattern between the subpolar gyre and along the Gulf Stream path, and propagation along the opposite direction of the North Atlantic Current. This propagation signal has an overlapping variability of approximately twenty years. Our findings suggest that the spatiotemporal evolution of chla during the two most recent decades is part of the multidecadal variations and possibly regulated by the changes of Atlantic Meridional Overturning Circulation, whereas the mechanisms of such evolution patterns still need to be explored. |
Address |
First Institute of Oceanography, State Oceanic Administration, Qingdao, China; Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China; Key Laboratory of Data Analysis and Applications, State Oceanic Administration, Qingdao, China. Electronic address: qiaofl@fio.org.cn |
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Language |
English |
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Edition |
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ISSN |
0048-9697 |
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Funding |
PMID:28892858 |
Approved |
$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
363 |
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Author |
Banks, R. |
Title |
Variability of Indian Ocean Surface Fluxes Using a New Objective Method |
Type |
$loc['typeManuscript'] |
Year |
2006 |
Publication |
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Abbreviated Journal |
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Volume |
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Issue |
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Pages |
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Keywords |
Indian Ocean Dipole Mode, Indian Ocean, Objective Method, Surface Turbulent Fluxes, Monsoon, Gridded Product |
Abstract |
A new objective technique is used to analyze monthly mean gridded fields of air and sea temperature, scalar and vector wind, specific humidity, sensible and latent heat flux, and wind stress over the Indian Ocean. A variational method produces a 1°x1° gridded product of surface turbulent fluxes and the variables needed to calculate these fluxes. The surface turbulent fluxes are forced to be physically consistent with the other variables. The variational method incorporates a state of the art flux model, which should reduce regional biases in heat and moisture fluxes. The time period is January 1982 to December 2003. The wind vectors are validated through comparison to monthly scatterometer winds. Empirical orthogonal function (EOF) analyses of the annual cycle emphasize significant modes of variability in the Indian Ocean. The dominant monsoon reversal and its connection with the southeast trades are linked in eigenmodes one and two of the surface fluxes. The third eigenmode of latent and sensible heat flux reveal a structure similar to the Indian Ocean Dipole (IOD) mode. The variability in surface fluxes associated with the monsoons and IOD are discussed. September-October-November composites of the surface fluxes during the 1997 positive IOD event and the 1983 negative IOD event are examined. The composites illustrate characteristics of fluxes during different IOD phases. |
Address |
Department of Meteorology |
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Thesis |
$loc['Master's thesis'] |
Publisher |
Florida State University |
Place of Publication |
Tallahassee, FL |
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Funding |
NASA, OSU, NOAA, NSF |
Approved |
$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
621 |
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Author |
Nyadjro, E.S.; Jensen, T.G.; Richman, J.G.; Shriver, J.F. |
Title |
On the Relationship Between Wind, SST, and the Thermocline in the Seychelles-Chagos Thermocline Ridge |
Type |
$loc['typeJournal Article'] |
Year |
2017 |
Publication |
IEEE Geoscience and Remote Sensing Letters |
Abbreviated Journal |
IEEE Geosci. Remote Sensing Lett. |
Volume |
14 |
Issue |
12 |
Pages |
2315-2319 |
Keywords |
Altimetry; HYbrid Coordinate Ocean Model (HYCOM); Indian Ocean Dipole (IOD); ocean-atmosphere coupling; Rossby waves; sea surface temperature (SST); thermocline depth; winds |
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ISSN |
1545-598X |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
465 |
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Author |
Shi, W. |
Title |
Estimation of heat and salt storage variability in the Indian Ocean from TOPEX/Poseidon altimetry |
Type |
$loc['typeJournal Article'] |
Year |
2003 |
Publication |
Journal of Geophysical Research |
Abbreviated Journal |
J. Geophys. Res. |
Volume |
108 |
Issue |
C7 |
Pages |
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Keywords |
heat storage; salt storage; altimetry; TOPEX/Poseidon; Indian Ocean; Indian Ocean dipole |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
0148-0227 |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
844 |
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Author |
Venugopal, T.; Ali, M.M.; Bourassa, M.A.; Zheng, Y.; Goni, G.J.; Foltz, G.R.; Rajeevan, M. |
Title |
Statistical Evidence for the Role of Southwestern Indian Ocean Heat Content in the Indian Summer Monsoon Rainfall |
Type |
$loc['typeJournal Article'] |
Year |
2018 |
Publication |
SCIENTIFIC REPORTS |
Abbreviated Journal |
Sci Rep |
Volume |
8 |
Issue |
1 |
Pages |
12092 |
Keywords |
SEA-SURFACE TEMPERATURE; EL-NINO; EQUATORIAL PACIFIC; IMPACT; PREDICTION; ENSO; DIPOLE; REGION; SST |
Abstract |
This study examines the benefit of using Ocean Mean Temperature (OMT) to aid in the prediction of the sign of Indian Summer Monsoon Rainfall (ISMR) anomalies. This is a statistical examination, rather than a process study. The thermal energy needed for maintaining and intensifying hurricanes and monsoons comes from the upper ocean, not just from the thin layer represented by sea surface temperature (SST) alone. Here, we show that the southwestern Indian OMT down to the depth of the 26 degrees C isotherm during January-March is a better qualitative predictor of the ISMR than SST. The success rate in predicting above- or below-average ISMR is 80% for OMT compared to 60% for SST. Other January-March mean climate indices (e.g., NINO3.4, Indian Ocean Dipole Mode Index, El Nino Southern Oscillation Modoki Index) have less predictability (52%, 48%, and 56%, respectively) than OMT percentage deviation (PD) (80%). Thus, OMT PD in the southwestern Indian Ocean provides a better qualitative prediction of ISMR by the end of March and indicates whether the ISMR will be above or below the climatological mean value. |
Address |
Ministry of Earth Sciences, Government of India, New Delhi, India |
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English |
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Edition |
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ISSN |
2045-2322 |
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Funding |
strtoupper('3').strtolower('0108244'); strtoupper('P').strtolower('MC6092415') |
Approved |
$loc['no'] |
Call Number |
COAPS @ user @ |
Serial |
972 |
Permanent link to this record |