Records |
Author  |
Proshutinsky, A.; Krishfield, R.; Toole, J.M.; Timmermans, M.-L.; Williams, W.; Zimmermann, S.; Yamamoto-Kawai, M.; Armitage, T.W.K.; Dukhovskoy, D.; Golubeva, E.; Manucharyan, G.E.; Platov, G.; Watanabe, E.; Kikuchi, T.; Nishino, S.; Itoh, M.; Kang, S.-H.; Cho, K.-H.; Tateyama, K.; Zhao, J. |
Title |
Analysis of the Beaufort Gyre Freshwater Content in 2003-2018 |
Type |
$loc['typeJournal Article'] |
Year |
2019 |
Publication |
|
Abbreviated Journal |
J Geophys Res Oceans |
Volume |
124 |
Issue |
12 |
Pages |
|
Keywords |
Arctic Ocean; Beaufort Gyre; circulation; climate change; freshwater balance; modeling |
Abstract |
Hydrographic data collected from research cruises, bottom-anchored moorings, drifting Ice-Tethered Profilers, and satellite altimetry in the Beaufort Gyre region of the Arctic Ocean document an increase of more than 6,400 km(3) of liquid freshwater content from 2003 to 2018: a 40% growth relative to the climatology of the 1970s. This fresh water accumulation is shown to result from persistent anticyclonic atmospheric wind forcing (1997-2018) accompanied by sea ice melt, a wind-forced redirection of Mackenzie River discharge from predominantly eastward to westward flow, and a contribution of low salinity waters of Pacific Ocean origin via Bering Strait. Despite significant uncertainties in the different observations, this study has demonstrated the synergistic value of having multiple diverse datasets to obtain a more comprehensive understanding of Beaufort Gyre freshwater content variability. For example, Beaufort Gyre Observational System (BGOS) surveys clearly show the interannual increase in freshwater content, but without satellite or Ice-Tethered Profiler measurements, it is not possible to resolve the seasonal cycle of freshwater content, which in fact is larger than the year-to-year variability, or the more subtle interannual variations. |
Address |
Physical Oceanography Laboratory Ocean University of China, Qingdao China |
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English |
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ISSN |
2169-9275 |
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Funding |
strtoupper('3').strtolower('2055432'); strtoupper('P').strtolower('MC7003849') |
Approved |
$loc['no'] |
Call Number |
COAPS @ user @ |
Serial |
1097 |
Permanent link to this record |
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Author  |
Proshutinsky, A.; Krishfield, R.; Toole, J.M.; Timmermans, M.-L.; Williams, W.; Zimmermann, S.; Yamamoto-Kawai, M.; Armitage, T.W.K.; Dukhovskoy, D.; Golubeva, E.; Manucharyan, G.E.; Platov, G.; Watanabe, E.; Kikuchi, T.; Nishino, S.; Itoh, M.; Kang, S.-H.; Cho, K.-H.; Tateyama, K.; Zhao, J. |
Title |
Analysis of the Beaufort Gyre Freshwater Content in 2003-2018 |
Type |
$loc['typeJournal Article'] |
Year |
2019 |
Publication |
|
Abbreviated Journal |
J Geophys Res Oceans |
Volume |
124 |
Issue |
12 |
Pages |
9658-9689 |
Keywords |
Arctic Ocean; Beaufort Gyre; circulation; climate change; freshwater balance; modeling |
Abstract |
Hydrographic data collected from research cruises, bottom-anchored moorings, drifting Ice-Tethered Profilers, and satellite altimetry in the Beaufort Gyre region of the Arctic Ocean document an increase of more than 6,400 km(3) of liquid freshwater content from 2003 to 2018: a 40% growth relative to the climatology of the 1970s. This fresh water accumulation is shown to result from persistent anticyclonic atmospheric wind forcing (1997-2018) accompanied by sea ice melt, a wind-forced redirection of Mackenzie River discharge from predominantly eastward to westward flow, and a contribution of low salinity waters of Pacific Ocean origin via Bering Strait. Despite significant uncertainties in the different observations, this study has demonstrated the synergistic value of having multiple diverse datasets to obtain a more comprehensive understanding of Beaufort Gyre freshwater content variability. For example, Beaufort Gyre Observational System (BGOS) surveys clearly show the interannual increase in freshwater content, but without satellite or Ice-Tethered Profiler measurements, it is not possible to resolve the seasonal cycle of freshwater content, which in fact is larger than the year-to-year variability, or the more subtle interannual variations. |
Address |
Physical Oceanography Laboratory Ocean University of China, Qingdao China |
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Language |
English |
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Series Volume |
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ISSN |
2169-9275 |
ISBN |
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Conference |
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Funding |
strtoupper('3').strtolower('2055432'); strtoupper('P').strtolower('MC7003849') |
Approved |
$loc['no'] |
Call Number |
COAPS @ user @ |
Serial |
1102 |
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Author  |
Samuelsen, A |
Title |
Modeling the Effect of Eddies and Advection on the Lower Trophic Ecosystem in the Northeast Tropical Pacific |
Type |
$loc['typeManuscript'] |
Year |
2005 |
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Pages |
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Keywords |
Physical-Biological Interactions, Marine Ecosystem Modeling, Pacific Ocean, Gulf Of Tehuantepec, Costa Rica Dome, Cross-Shelf Transport, Eddies |
Abstract |
A medium complexity, nitrogen-based ecosystem model is developed in order to simulate the ecosystem in the northeast tropical Pacific. Several physical processes have major impact on the ecosystem in this region, most importantly intense wind jets along the coast and upwelling at the Costa Rica Dome (CRD). The ecosystem model is run “offline”, using a realistic physical ocean model hindcast as input. The physical model is a subdomain of the global Navy Coastal Ocean Model, which is a hybrid sigma-z level model. The model assimilates Modular Ocean Data Assimilation System temperature and salinity profiles derived from altimetry and sea surface temperature data. The model is forced by daily heat and momentum fluxes, and therefore captures short-term wind events such as the Tehuantepec jet. Because the model has high horizontal resolution (~1/8 degree) and assimilates sea surface height data, it has a realistic representation of eddies and mesoscale variability. The ecosystem model includes two nutrients (nitrate and ammonium), two size-classes of phytoplankton, two size-classes of zooplankton, and detritus. The model is run for 4 years from 1999 to 2002, with analyses focused on 2000-2002. The model is validated using SeaWiFS data and ship-based observations from the STAR-cruises (Stenella Abundance Research Project) of 1999 and 2000. The northernmost and most intense of the wind jets along Central America is the Tehuantepec jet. The Tehuantepec jet is responsible for upwelling large amounts of nutrient rich water south of the Gulf of Tehuantepec. The jet also occasionally produce large anti-cyclonic eddies that transport organic matter away from the coast. Because organic matter that is transported into the open ocean will eventually sink to the deep ocean, this has implications for the carbon export in this region. The model results are used to calculate cross-shelf fluxes in this region in order to estimate how much organic material is transported across the shelf break. Results show that at the Gulf of Tehuantepec there is high offshore export of organic material, particularly during eddy generation events, but also in fall. The highest export is on the order of 10 Mg C per meter of coastline per day and happens during eddy events. During these events there is a comparable onshore flux to the south of the gulf. Typically there is onshore flux to the south of the gulf during the summer. The model estimated transport away from the coast at the Gulf of Tehuantepec is 167 Tg C/year, and the onshore transport to the south of the gulf is 704 Tg C/year. The second subject of interest is the CRD. In this region, upwelling at the surface is caused by Ekman upwelling during the summer, although the dome is thought to be present at depth throughout the year. The doming of the isotherms below the thermocline is a result of vortex stretching and is decoupled from the wind-driven processes at the surface. A mass-balance budget is calculated at the CRD, and the horizontal and vertical fluxes are related to the abundance of plankton at the dome. There is upwelling (7.2X10-2 Sv ) at the dome throughout the year, but around the location of the dome (90° W), the upwelling is largest in the winter. Further west, input of nutrients from below is larger in the fall and summer. The results suggest that about 80% of the nitrate that is supplied to the dome during summer is actually brought up to the west of the dome and transported eastward by the North Equatorial Counter Current. |
Address |
Department of Oceanography |
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Thesis |
$loc['Ph.D. thesis'] |
Publisher |
Florida State University |
Place of Publication |
Tallahassee, FL |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
591 |
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Author  |
Shi, W. |
Title |
Estimation of heat and salt storage variability in the Indian Ocean from TOPEX/Poseidon altimetry |
Type |
$loc['typeJournal Article'] |
Year |
2003 |
Publication |
Journal of Geophysical Research |
Abbreviated Journal |
J. Geophys. Res. |
Volume |
108 |
Issue |
C7 |
Pages |
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Keywords |
heat storage; salt storage; altimetry; TOPEX/Poseidon; Indian Ocean; Indian Ocean dipole |
Abstract |
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Edition |
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ISSN |
0148-0227 |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
844 |
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Author  |
Shinoda, T.; Han, W.; Zamudio, L.; Lien, R.-C.; Katsumata, M. |
Title |
Remote Ocean Response to the Madden-Julian Oscillation during the DYNAMO Field Campaign: Impact on Somali Current System and the Seychelles-Chagos Thermocline Ridge |
Type |
$loc['typeJournal Article'] |
Year |
2017 |
Publication |
Atmosphere |
Abbreviated Journal |
Atmosphere |
Volume |
8 |
Issue |
9 |
Pages |
171 |
Keywords |
Madden-Julian oscillation; CINDY/DYNAMO; Somali current; Indian Ocean |
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ISSN |
2073-4433 |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
282 |
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Author  |
Shropshire, T.; Li, Y.; He, R. |
Title |
Storm impact on sea surface temperature and chlorophyll a in the Gulf of Mexico and Sargasso Sea based on daily cloud-free satellite data reconstructions |
Type |
$loc['typeJournal Article'] |
Year |
2016 |
Publication |
Geophysical Research Letters |
Abbreviated Journal |
Geophys. Res. Lett. |
Volume |
43 |
Issue |
23 |
Pages |
12,199-12,207 |
Keywords |
storm; sea surface temperature; surface chl a; northwest Atlantic ocean |
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0094-8276 |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
51 |
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Author  |
Smedstad, O.M.; Hurlburt, H.E.; Metzger, E.J.; Rhodes, R.C.; Shriver, J.F.; Wallcraft, A.J.; Kara, A.B. |
Title |
An operational Eddy resolving 1/16° global ocean nowcast/forecast system |
Type |
$loc['typeJournal Article'] |
Year |
2003 |
Publication |
Journal of Marine Systems |
Abbreviated Journal |
Journal of Marine Systems |
Volume |
40-41 |
Issue |
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Pages |
341-361 |
Keywords |
global ocean prediction; prediction of mesoscale variability; data assimilation; ocean forecast verification |
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0924-7963 |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
481 |
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Author  |
Smith, S.R.; Briggs, K.; Lopez, N.; Kourafalou, V. |
Title |
Applying Automated Underway Ship Observations to Numerical Model Evaluation |
Type |
$loc['typeJournal Article'] |
Year |
2016 |
Publication |
Journal of Atmospheric and Oceanic Technology |
Abbreviated Journal |
J. Atmos. Oceanic Technol. |
Volume |
33 |
Issue |
3 |
Pages |
409-428 |
Keywords |
Ship observations; Automatic weather stations; Ocean models; Model evaluation/performance; In situ atmospheric observations; Observational techniques and algorithms; Models and modeling; In situ oceanic observations |
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0739-0572 |
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$loc['no'] |
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COAPS @ mfield @ |
Serial |
53 |
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Author  |
Spiesberger, J.L.; Hurlburt, H.E.; Johnson, M.; Keller, M.; Meyers, S.; O'Brien, J. |
Title |
Acoustic thermometry data compared with two ocean models: the importance of Rossby waves and ENSO in modifying the ocean interior |
Type |
$loc['typeJournal Article'] |
Year |
1998 |
Publication |
Dynamics of Atmospheres and Oceans |
Abbreviated Journal |
Dynamics of Atmospheres and Oceans |
Volume |
26 |
Issue |
4 |
Pages |
209-240 |
Keywords |
Rossby waves ENSO Ocean |
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0377-0265 |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
741 |
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Author  |
Srinivasan, A.; Chassignet, E.P.; Bertino, L.; Brankart, J.M.; Brasseur, P.; Chin, T.M.; Counillon, F.; Cummings, J.A.; Mariano, A.J.; Smedstad, O.M.; Thacker, W.C. |
Title |
A comparison of sequential assimilation schemes for ocean prediction with the HYbrid Coordinate Ocean Model (HYCOM): Twin experiments with static forecast error covariances |
Type |
$loc['typeJournal Article'] |
Year |
2011 |
Publication |
Ocean Modelling |
Abbreviated Journal |
Ocean Modelling |
Volume |
37 |
Issue |
3-4 |
Pages |
85-111 |
Keywords |
Data assimilation; Ocean modeling; Ocean prediction; Twin experiments; Sequential assimilation; MVOI; EnOI; SEEK; ROIF; EnROIF |
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1463-5003 |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
320 |
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