MITgcm/www.ecco-group.org/ecco_2015_pub.html

<ul><li>
R. Abernathey, D. Ferreira, and A. Klocker, 2015: Diagnostics of eddy
mixing in a circumpolar channel. Ocean Modelling, submitted.
</li></ul>

<ul><li>
H. Brix, D. Menemenlis, C. Hill, S. Dutkiewicz, O. Jahn, D. Wang,
K. Bowman, and H. Zhang, 2015:
<a href="http://ecco2.org/manuscripts/2015/Brix2015.pdf"> Using
Green's Functions to initialize and adjust a global, eddying ocean
biogeochemistry general circulation model.</a> Ocean Modelling,
submitted.
</li></ul>

<ul><li>
M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2015: Determining the
origins of advective heat transport variability in the North Atlantic. J.
Clim., 18(10), 3943-3956, doi:10.1175/JCLI-D-14-00579.1.
</li></ul>

<ul><li>
Chen, R., Flierl, G. R., & Wunsch, C., 2015: Quantifying and Interpreting Striations in a Subtropical Gyre: A Spectral Perspective. J. Phys. Oceanogr., 45(2), 387–406. doi:10.1175/JPO-D-14-0038.1.
</li></ul>

<ul><li>
K. Childers, 2015:
<a href="http://ecco2.org/manuscripts/2015/Childers2015.pdf">
Circulation and Transport Across the Iceland Faroes Shetland Ridge.</a>
Ph.D. Thesis, Marine and Atmospheric Science, Stony Brook University, NY.
</li></ul>

<ul><li>
P. Duarte, P. Assmy, H. Hop, G. Spreen, S. Gerland, and S. Hudson,
2015: <a href="http://ecco2.org/manuscripts/2015/Duarte2015.pdf"> The
importance of vertical resolution in sea ice algae production models.</a>
J. Mar. Syst., 145, 69-90.
</li></ul>

<ul><li>
M.M. Flexas, M. Schodlok, L. Padman, D. Menemenlis, and A. Orsi, 2015:
<a href="http://ecco2.org/manuscripts/2015/Flexas2015.pdf">
Role of tides on the formation of the Antarctic Slope Front at the
Weddell-Scotia Confluence.</a> J. Geophys. Res., submitted.
</li></ul>

<ul><li>
G. Forget and R.M. Ponte, 2015: The partition of regional sea level
variability.  Prog. Oceanogr., n revision.
</ul></li>

<ul><li>
Forget, G., J.M. Campin, P. Heimbach, C.N. Hill, R.M. Ponte, and C. Wunsch, 2015: ECCO version 4: an integrated framework for non-linear inverse modeling and global ocean state estimation. Geosci. Model Dev. Discuss., 8, 3653-3743, doi:10.5194/gmdd-8-3653-2015.
</ul></li>

<ul><li>
Fukumori, I., Wang, O., Llovel, W., Fenty, I., and Forget, G., 2015: 
A near-uniform fluctuation of ocean bottom pressure and sea level across the deep ocean basins of the Arctic Ocean and the Nordic Seas. 
Prog. Oceanogr., 134(C), 152–172. doi:10.1016/j.pocean.2015.01.013.
</ul></li>

<ul><li>
D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan,
2015: <a href="http://ecco2.org/manuscripts/2015/Halkides2015.pdf">
Quantifying the processes controlling intraseasonal mixed-layer temperature
variability in the tropical Indian Ocean.</a> J. Geophys. Res., 120, 692-715.
</li></ul>

<ul><li>
D. Halpern, D. Menemenlis, and X. Wang,
2015: <a href="http://ecco2.org/manuscripts/2015/Halpern2015.pdf">
Impact of data assimilation on ECCO2 Equatorial Undercurrent and North
Equatorial Countercurrent in the Pacific Ocean.</a> J. Atmos. Ocean
Tech., 32, 131-143.
</li></ul>

<ul><li>
Heimbach, P., 2015: Application of derivative code in climate modeling. 
in: N. Gauger, M. Giles, M. Gunzburger, and U. Naumann (eds.): 
Adjoint Methods in Computational Science, Engineering, and Finance.
Dagstuhl Reports, 4(9), 14-16, doi:10.4230/DagRep.4.9.1
</li></ul>

<ul><li>
X. Liang, C. Wunsch, P. Heimbach, and G. Forget, 2015: 
Vertical redistribution of oceanic heat. 28(9), 3821-3833,
doi:10.1175/JCLI-D-14-00550.1.
</ul></li>

<ul><li>
L. Ott, S. Pawson, G. Collatz, W. Gregg, D. Menemenlis, H. Brix, C. Rousseaux,
K. Bowman, J. Liu, A. Eldering, M. Gunson, and S. Kawa,
2015: <a href="http://ecco2.org/manuscripts/2015/Ott2015.pdf"> Assessing the
magnitude of CO2 flux uncertainty in atmospheric CO2 records using products
from NASA's Carbon Monitoring Flux Pilot Project.</a>  J. Geophys. Res., 120,
734-765.
</li></ul>

<ul><li>
C. Piecuch, I. Fukumori, R. Ponte, and O. Wang, 2015: Vertical
structure  of ocean pressure fluctuations with application to
satellite-gravimetric observations. J. Atmos. Oce. Tech., in press.
</li></ul>

<ul><li>
G. Spreen, R. Kwok, D. Menemenlis, and A. Nguyen, 2015: Sea ice
deformation in a coupled ocean-sea ice model and in satellite remote
sensing data. J. Geophys. Res., submitted.
</li></ul>

<ul><li>
Storto, A., and 36 others, 2015: Steric sea level variability (1993-2010) in an ensemble of ocean reanalyses and objective analyses. Clim. Dyn., in press, doi:10.1007/s00382-015-2554-9
</li></ul>

<ul><li>
Toyoda, T., and 32 others, 2015:
Intercomparison and validation of the mixed layer depth fields of global ocean syntheses/reanalyses. Clim. Dyn., in press, doi:10.1007/s00382-015-2637-7.
</li></ul>

<ul><li>
Vinogradova, N. T., Ponte, R. M., Quinn, K. J., Tamisiea, M. E., Campin, J.-M., and Davis, J. L., 2015: 
Dynamic Adjustment of the Ocean Circulation to Self-Attraction and Loading Effects. 
J. Phys. Oceanogr., 45(3), 678–689, doi:10.1175/JPO-D-14-0150.1
</li></ul>

<ul><li>
J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,
2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new
river discharge and river temperature climatology data set for the
pan-Arctic region.</a> Ocean Modelling, 88, 1-15.
</li></ul>

<ul><li>
S. Zedler, C. Jackson, F. Yao, P. Heimbach, A. Koehl, R. Scott, and
I. Hoteit, 2015: Tests of the K-Profile Parameterization of turbulent
vertical mixing using seasonally averaged observations from the
TOGA/TAO array from 2004 to 2007. Ocean Modelling., in revision.
</li></ul>

<ul><li>
V. Zemskova, B. White, and A. Scotti, 2015: Available potential energy
and the general circulation: Partitioning wind, buoyancy forcing, and
irreversible mixing. J. Phys. Oceanogr., submitted.
</li></ul>
1	<ul><li>
2	R. Abernathey, D. Ferreira, and A. Klocker, 2015: Diagnostics of eddy
3	mixing in a circumpolar channel. Ocean Modelling, submitted.
4	</li></ul>
5
6	<ul><li>
7	H. Brix, D. Menemenlis, C. Hill, S. Dutkiewicz, O. Jahn, D. Wang,
8	K. Bowman, and H. Zhang, 2015:
9	<a href="http://ecco2.org/manuscripts/2015/Brix2015.pdf"> Using
10	Green's Functions to initialize and adjust a global, eddying ocean
11	biogeochemistry general circulation model.</a> Ocean Modelling,
12	submitted.
13	</li></ul>
14
15	<ul><li>
16	M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2015: Determining the
17	origins of advective heat transport variability in the North Atlantic. J.
18	Clim., 18(10), 3943-3956, doi:10.1175/JCLI-D-14-00579.1.
19	</li></ul>
20
21	<ul><li>
22	Chen, R., Flierl, G. R., & Wunsch, C., 2015: Quantifying and Interpreting Striations in a Subtropical Gyre: A Spectral Perspective. J. Phys. Oceanogr., 45(2), 387–406. doi:10.1175/JPO-D-14-0038.1.
23	</li></ul>
24
25	<ul><li>
26	K. Childers, 2015:
27	<a href="http://ecco2.org/manuscripts/2015/Childers2015.pdf">
28	Circulation and Transport Across the Iceland Faroes Shetland Ridge.</a>
29	Ph.D. Thesis, Marine and Atmospheric Science, Stony Brook University, NY.
30	</li></ul>
31
32	<ul><li>
33	P. Duarte, P. Assmy, H. Hop, G. Spreen, S. Gerland, and S. Hudson,
34	2015: <a href="http://ecco2.org/manuscripts/2015/Duarte2015.pdf"> The
35	importance of vertical resolution in sea ice algae production models.</a>
36	J. Mar. Syst., 145, 69-90.
37	</li></ul>
38
39	<ul><li>
40	M.M. Flexas, M. Schodlok, L. Padman, D. Menemenlis, and A. Orsi, 2015:
41	<a href="http://ecco2.org/manuscripts/2015/Flexas2015.pdf">
42	Role of tides on the formation of the Antarctic Slope Front at the
43	Weddell-Scotia Confluence.</a> J. Geophys. Res., submitted.
44	</li></ul>
45
46	<ul><li>
47	G. Forget and R.M. Ponte, 2015: The partition of regional sea level
48	variability. Prog. Oceanogr., n revision.
49	</ul></li>
50
51	<ul><li>
52	Forget, G., J.M. Campin, P. Heimbach, C.N. Hill, R.M. Ponte, and C. Wunsch, 2015: ECCO version 4: an integrated framework for non-linear inverse modeling and global ocean state estimation. Geosci. Model Dev. Discuss., 8, 3653-3743, doi:10.5194/gmdd-8-3653-2015.
53	</ul></li>
54
55	<ul><li>
56	Fukumori, I., Wang, O., Llovel, W., Fenty, I., and Forget, G., 2015:
57	A near-uniform fluctuation of ocean bottom pressure and sea level across the deep ocean basins of the Arctic Ocean and the Nordic Seas.
58	Prog. Oceanogr., 134(C), 152–172. doi:10.1016/j.pocean.2015.01.013.
59	</ul></li>
60
61	<ul><li>
62	D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan,
63	2015: <a href="http://ecco2.org/manuscripts/2015/Halkides2015.pdf">
64	Quantifying the processes controlling intraseasonal mixed-layer temperature
65	variability in the tropical Indian Ocean.</a> J. Geophys. Res., 120, 692-715.
66	</li></ul>
67
68	<ul><li>
69	D. Halpern, D. Menemenlis, and X. Wang,
70	2015: <a href="http://ecco2.org/manuscripts/2015/Halpern2015.pdf">
71	Impact of data assimilation on ECCO2 Equatorial Undercurrent and North
72	Equatorial Countercurrent in the Pacific Ocean.</a> J. Atmos. Ocean
73	Tech., 32, 131-143.
74	</li></ul>
75
76	<ul><li>
77	Heimbach, P., 2015: Application of derivative code in climate modeling.
78	in: N. Gauger, M. Giles, M. Gunzburger, and U. Naumann (eds.):
79	Adjoint Methods in Computational Science, Engineering, and Finance.
80	Dagstuhl Reports, 4(9), 14-16, doi:10.4230/DagRep.4.9.1
81	</li></ul>
82
83	<ul><li>
84	X. Liang, C. Wunsch, P. Heimbach, and G. Forget, 2015:
85	Vertical redistribution of oceanic heat. 28(9), 3821-3833,
86	doi:10.1175/JCLI-D-14-00550.1.
87	</ul></li>
88
89	<ul><li>
90	L. Ott, S. Pawson, G. Collatz, W. Gregg, D. Menemenlis, H. Brix, C. Rousseaux,
91	K. Bowman, J. Liu, A. Eldering, M. Gunson, and S. Kawa,
92	2015: <a href="http://ecco2.org/manuscripts/2015/Ott2015.pdf"> Assessing the
93	magnitude of CO2 flux uncertainty in atmospheric CO2 records using products
94	from NASA's Carbon Monitoring Flux Pilot Project.</a> J. Geophys. Res., 120,
95	734-765.
96	</li></ul>
97
98	<ul><li>
99	C. Piecuch, I. Fukumori, R. Ponte, and O. Wang, 2015: Vertical
100	structure of ocean pressure fluctuations with application to
101	satellite-gravimetric observations. J. Atmos. Oce. Tech., in press.
102	</li></ul>
103
104	<ul><li>
105	G. Spreen, R. Kwok, D. Menemenlis, and A. Nguyen, 2015: Sea ice
106	deformation in a coupled ocean-sea ice model and in satellite remote
107	sensing data. J. Geophys. Res., submitted.
108	</li></ul>
109
110	<ul><li>
111	Storto, A., and 36 others, 2015: Steric sea level variability (1993-2010) in an ensemble of ocean reanalyses and objective analyses. Clim. Dyn., in press, doi:10.1007/s00382-015-2554-9
112	</li></ul>
113
114	<ul><li>
115	Toyoda, T., and 32 others, 2015:
116	Intercomparison and validation of the mixed layer depth fields of global ocean syntheses/reanalyses. Clim. Dyn., in press, doi:10.1007/s00382-015-2637-7.
117	</li></ul>
118
119	<ul><li>
120	Vinogradova, N. T., Ponte, R. M., Quinn, K. J., Tamisiea, M. E., Campin, J.-M., and Davis, J. L., 2015:
121	Dynamic Adjustment of the Ocean Circulation to Self-Attraction and Loading Effects.
122	J. Phys. Oceanogr., 45(3), 678–689, doi:10.1175/JPO-D-14-0150.1
123	</li></ul>
124
125	<ul><li>
126	J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,
127	2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new
128	river discharge and river temperature climatology data set for the
129	pan-Arctic region.</a> Ocean Modelling, 88, 1-15.
130	</li></ul>
131
132	<ul><li>
133	S. Zedler, C. Jackson, F. Yao, P. Heimbach, A. Koehl, R. Scott, and
134	I. Hoteit, 2015: Tests of the K-Profile Parameterization of turbulent
135	vertical mixing using seasonally averaged observations from the
136	TOGA/TAO array from 2004 to 2007. Ocean Modelling., in revision.
137	</li></ul>
138
139	<ul><li>
140	V. Zemskova, B. White, and A. Scotti, 2015: Available potential energy
141	and the general circulation: Partitioning wind, buoyancy forcing, and
142	irreversible mixing. J. Phys. Oceanogr., submitted.
143	</li></ul>