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

<ul><li>
M. Balmaseda, M., et al., 2015: The ocean reanalyses intercomparison project
(ora-ip). Journal of Operational Oceanography, 8 (sup1), s80-s97.
</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 Model., 95, 1-14.
</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, 3943-3956. doi:10.1175/JCLI-D-14-00579.1.
</li></ul>

<ul><li>
R. Chen, G. Flierl, and C. Wunsch, 2015: Quantifying and Interpreting
Striations in a Subtropical Gyre: A Spectral Perspective. J. Phys. Oceanogr.,
45, 387-406.
</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>
I. Fenty, D. Menemenlis, and H. Zhang, 2015:
<a href="http://ecco2.org/manuscripts/2015/Fenty2015.pdf">
Global Coupled Sea Ice-Ocean State Estimation.</a> Clim. Dyn.,
doi:10.1007/s00382-015-2796-6
</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., 120, 3658-3680.
</li></ul>

<ul><li>
G. Forget, D. Ferreira, and X. Liang, 2015: On the observability of
turbulent transport rates by argo: supporting evidence from an
inversion experiment. Ocean Science, 11, 839-853.
</li></ul>

<ul><li>
G. Forget and R.M. Ponte, 2015:
<a href="http://www.sciencedirect.com/science/article/pii/S0079661115001354">
The partition of regional sea level variability.</a> Prog. Oceanogr.,
137, 173-195.
</ul></li>

<ul><li>
G. Forget, J.M. Campin, P. Heimbach, C.N. Hill, R.M. Ponte, and
C. Wunsch, 2015:
<a href="http://www.geosci-model-dev.net/8/3071/2015/gmd-8-3071-2015.pdf">
ECCO version 4: an integrated framework for non-linear inverse
modeling and global ocean state estimation.</a> Geosci. Model Dev., 8,
3071-3104. doi:10.5194/gmd-8-3071-2015.
</ul></li>

<ul><li>
The ECCO Consortium (G. Forget, I. Fukumori, P. Heimbach, T. Lee, D. Menemenlis, and R.M. Ponte), 2015:
<a href="http://ecco2.org/manuscripts/2015/ECCO_CLIVAR.pdf">
Estimating the Circulation and Climate of the Ocean (ECCO): Advancing
CLIVAR Science.</a> CLIVAR Exchanges, 67, 41-45.
</ul></li>

<ul><li>
McCaffrey, K., B. Fox-Kemper, and G. Forget, 2015: Estimates of Ocean 
Macro-turbulence: Structure Function and Spectral Slope from Argo Profiling 
Floats. JPO, 45, 1773-1793.
</ul></li>

<ul><li>
V. Le Fouest, M. Manizza, B. Tremblay, and M. Babin, 2015:
<a href="http://www.biogeosciences.net/12/3385/2015/bg-12-3385-2015.html">
Modeling the impact of riverine DON removal by marine bacterioplankton on
primary production in the Arctic Ocean.</a> Biogeosciences, 12, 3385-3402.
</li></ul>

<ul><li>
I. Fukumori, O. Wang, W. Llovel, I. Fenty, and G. Forget, 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,
152-172.
</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>
P. Heimbach, 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, 14-16.
</li></ul>

<ul><li>
X. Liang, C. Wunsch, P. Heimbach, and G. Forget, 2015: 
Vertical redistribution of oceanic heat. 28, 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., 32, 603-613.
</li></ul>

<ul><li>
C. Piecuch, P. Heimbach, R.M. Ponte, and G. Forget, 2015: Sensitivity
of contemporary sea level trends in a global ocean state estimate to effects
of geothermal fluxes, Ocean Model., 96, 214-220. doi:10.1016/j.ocemod.2015.10.008.
</li></ul>

<ul><li>
K. J. Quinn, R. M. Ponte, and M. E. Tamisiea, 2015: Impact of self-attraction and loading on Earth rotation. J. Geophys. Res., 120, 4510–4521.
</li></ul>

<ul><li>
T. Van der Stocken, 2015:
<a href="http://ecco2.org/manuscripts/2015/Stocken2015.pdf"> Biological and
environmental drivers of mangrove propagule dispersal: A field and modeling
approach.</a>  Ph.D. Thesis, Vrije Universiteit Brussel and the Universite Libre de Bruxelles.
</li></ul>

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

<ul><li>
Toyoda, T., and 32 others, 2015: Interannual-decadal variability of wintertime 
mixed layer depths in the north pacific detected by an ensemble of ocean
syntheses. Clim. Dyn., doi:10.1007/s00382-015-2762-3
</li></ul>

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

<ul><li>
N. Vinogradova, R. Ponte, K. Quinn, M. Tamisiea, J.M. Campin, and J. Davis,
2015: Dynamic Adjustment of the Ocean Circulation to Self-Attraction and
Loading Effects.  J. Phys. Oceanogr., 45, 678-689.
</li></ul>

<ul><li>
X. Wang, L. Zhao, Z. Li, and D. Menemenlis, 2015:
<a href="http://ecco2.org/manuscripts/2015/Wang2015.pdf">
Regional ocean forecasting systems and their applications: Design
consideration of such a system for the South China Sea.</a> Aquatic
Ecosystem Health & Management, 18, 443-453.
</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 Model., 88, 1-15.
</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., 45, 1510-1531.
</li></ul>
1	gforget	1.21	<ul><li>
2	dimitri	1.24	M. Balmaseda, M., et al., 2015: The ocean reanalyses intercomparison project
3			(ora-ip). Journal of Operational Oceanography, 8 (sup1), s80-s97.
4	dimitri	1.1	</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	dimitri	1.25	biogeochemistry general circulation model.</a> Ocean Model., 95, 1-14.
12	dimitri	1.1	</li></ul>
13
14	dimitri	1.17	<ul><li> M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2015: Determining
15			the origins of advective heat transport variability in the North Atlantic. J.
16	heimbach	1.26	Clim., 18, 3943-3956. doi:10.1175/JCLI-D-14-00579.1.
17	dimitri	1.1	</li></ul>
18
19			<ul><li>
20	dimitri	1.17	R. Chen, G. Flierl, and C. Wunsch, 2015: Quantifying and Interpreting
21			Striations in a Subtropical Gyre: A Spectral Perspective. J. Phys. Oceanogr.,
22			45, 387-406.
23	heimbach	1.15	</li></ul>
24
25			<ul><li>
26	dimitri	1.5	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	dimitri	1.4	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	dimitri	1.20	I. Fenty, D. Menemenlis, and H. Zhang, 2015:
41			<a href="http://ecco2.org/manuscripts/2015/Fenty2015.pdf">
42	dimitri	1.25	Global Coupled Sea Ice-Ocean State Estimation.</a> Clim. Dyn.,
43			doi:10.1007/s00382-015-2796-6
44	dimitri	1.20	</li></ul>
45
46			<ul><li>
47	dimitri	1.1	M.M. Flexas, M. Schodlok, L. Padman, D. Menemenlis, and A. Orsi, 2015:
48			<a href="http://ecco2.org/manuscripts/2015/Flexas2015.pdf">
49			Role of tides on the formation of the Antarctic Slope Front at the
50	dimitri	1.19	Weddell-Scotia Confluence.</a> J. Geophys. Res., 120, 3658-3680.
51	dimitri	1.1	</li></ul>
52
53			<ul><li>
54	dimitri	1.24	G. Forget, D. Ferreira, and X. Liang, 2015: On the observability of
55			turbulent transport rates by argo: supporting evidence from an
56			inversion experiment. Ocean Science, 11, 839-853.
57			</li></ul>
58
59			<ul><li>
60	dimitri	1.22	G. Forget and R.M. Ponte, 2015:
61			<a href="http://www.sciencedirect.com/science/article/pii/S0079661115001354">
62			The partition of regional sea level variability.</a> Prog. Oceanogr.,
63			137, 173-195.
64	dimitri	1.1	</ul></li>
65
66			<ul><li>
67	dimitri	1.22	G. Forget, J.M. Campin, P. Heimbach, C.N. Hill, R.M. Ponte, and
68			C. Wunsch, 2015:
69			<a href="http://www.geosci-model-dev.net/8/3071/2015/gmd-8-3071-2015.pdf">
70			ECCO version 4: an integrated framework for non-linear inverse
71			modeling and global ocean state estimation.</a> Geosci. Model Dev., 8,
72	heimbach	1.26	3071-3104. doi:10.5194/gmd-8-3071-2015.
73	dimitri	1.22	</ul></li>
74
75			<ul><li>
76	heimbach	1.26	The ECCO Consortium (G. Forget, I. Fukumori, P. Heimbach, T. Lee, D. Menemenlis, and R.M. Ponte), 2015:
77	dimitri	1.22	<a href="http://ecco2.org/manuscripts/2015/ECCO_CLIVAR.pdf">
78			Estimating the Circulation and Climate of the Ocean (ECCO): Advancing
79			CLIVAR Science.</a> CLIVAR Exchanges, 67, 41-45.
80	gforget	1.21	</ul></li>
81
82			<ul><li>
83			McCaffrey, K., B. Fox-Kemper, and G. Forget, 2015: Estimates of Ocean
84			Macro-turbulence: Structure Function and Spectral Slope from Argo Profiling
85			Floats. JPO, 45, 1773-1793.
86	heimbach	1.13	</ul></li>
87
88			<ul><li>
89	dimitri	1.18	V. Le Fouest, M. Manizza, B. Tremblay, and M. Babin, 2015:
90			<a href="http://www.biogeosciences.net/12/3385/2015/bg-12-3385-2015.html">
91			Modeling the impact of riverine DON removal by marine bacterioplankton on
92			primary production in the Arctic Ocean.</a> Biogeosciences, 12, 3385-3402.
93			</li></ul>
94
95			<ul><li>
96	dimitri	1.17	I. Fukumori, O. Wang, W. Llovel, I. Fenty, and G. Forget, 2015: A near-uniform
97			fluctuation of ocean bottom pressure and sea level across the deep ocean
98			basins of the Arctic Ocean and the Nordic Seas. Prog. Oceanogr., 134,
99			152-172.
100	heimbach	1.15	</ul></li>
101
102			<ul><li>
103	dimitri	1.7	D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan,
104			2015: <a href="http://ecco2.org/manuscripts/2015/Halkides2015.pdf">
105			Quantifying the processes controlling intraseasonal mixed-layer temperature
106	dimitri	1.12	variability in the tropical Indian Ocean.</a> J. Geophys. Res., 120, 692-715.
107	dimitri	1.1	</li></ul>
108
109			<ul><li>
110			D. Halpern, D. Menemenlis, and X. Wang,
111			2015: <a href="http://ecco2.org/manuscripts/2015/Halpern2015.pdf">
112			Impact of data assimilation on ECCO2 Equatorial Undercurrent and North
113			Equatorial Countercurrent in the Pacific Ocean.</a> J. Atmos. Ocean
114			Tech., 32, 131-143.
115			</li></ul>
116
117			<ul><li>
118	dimitri	1.17	P. Heimbach, 2015: Application of derivative code in climate modeling.
119	heimbach	1.13	in: N. Gauger, M. Giles, M. Gunzburger, and U. Naumann (eds.):
120			Adjoint Methods in Computational Science, Engineering, and Finance.
121	dimitri	1.17	Dagstuhl Reports, 4, 14-16.
122	dimitri	1.2	</li></ul>
123
124			<ul><li>
125	dimitri	1.1	X. Liang, C. Wunsch, P. Heimbach, and G. Forget, 2015:
126	gforget	1.21	Vertical redistribution of oceanic heat. 28, 3821-3833.
127	heimbach	1.26	doi:10.1175/JCLI-D-14-00550.1.
128	dimitri	1.1	</ul></li>
129
130			<ul><li>
131	dimitri	1.9	L. Ott, S. Pawson, G. Collatz, W. Gregg, D. Menemenlis, H. Brix, C. Rousseaux,
132			K. Bowman, J. Liu, A. Eldering, M. Gunson, and S. Kawa,
133	dimitri	1.6	2015: <a href="http://ecco2.org/manuscripts/2015/Ott2015.pdf"> Assessing the
134	dimitri	1.9	magnitude of CO2 flux uncertainty in atmospheric CO2 records using products
135			from NASA's Carbon Monitoring Flux Pilot Project.</a> J. Geophys. Res., 120,
136	dimitri	1.10	734-765.
137	dimitri	1.1	</li></ul>
138
139			<ul><li>
140			C. Piecuch, I. Fukumori, R. Ponte, and O. Wang, 2015: Vertical
141	dimitri	1.3	structure of ocean pressure fluctuations with application to
142	heimbach	1.26	satellite-gravimetric observations. J. Atmos. Oce. Tech., 32, 603-613.
143	dimitri	1.1	</li></ul>
144
145			<ul><li>
146	dimitri	1.24	C. Piecuch, P. Heimbach, R.M. Ponte, and G. Forget, 2015: Sensitivity
147			of contemporary sea level trends in a global ocean state estimate to effects
148	heimbach	1.26	of geothermal fluxes, Ocean Model., 96, 214-220. doi:10.1016/j.ocemod.2015.10.008.
149			</li></ul>
150
151			<ul><li>
152			K. J. Quinn, R. M. Ponte, and M. E. Tamisiea, 2015: Impact of self-attraction and loading on Earth rotation. J. Geophys. Res., 120, 4510–4521.
153	dimitri	1.1	</li></ul>
154
155			<ul><li>
156	dimitri	1.17	T. Van der Stocken, 2015:
157			<a href="http://ecco2.org/manuscripts/2015/Stocken2015.pdf"> Biological and
158			environmental drivers of mangrove propagule dispersal: A field and modeling
159	dimitri	1.24	approach.</a> Ph.D. Thesis, Vrije Universiteit Brussel and the Universite Libre de Bruxelles.
160	dimitri	1.17	</li></ul>
161
162			<ul><li>
163			A. Storto, and 36 others, 2015: Steric sea level variability (1993-2010) in an
164	dimitri	1.25	ensemble of ocean reanalyses and objective analyses. Clim. Dyn.,
165	dimitri	1.17	doi:10.1007/s00382-015-2554-9
166	heimbach	1.14	</li></ul>
167
168			<ul><li>
169	gforget	1.21	Toyoda, T., and 32 others, 2015: Interannual-decadal variability of wintertime
170	dimitri	1.25	mixed layer depths in the north pacific detected by an ensemble of ocean
171			syntheses. Clim. Dyn., doi:10.1007/s00382-015-2762-3
172	gforget	1.21	</li></ul>
173
174			<ul><li>
175	dimitri	1.25	T. Toyoda, and 32 others, 2015: Intercomparison and validation of the
176			mixed layer depth fields of global ocean syntheses. Clim. Dyn.,
177			doi:10.1007/s00382-015-2637-7
178	heimbach	1.15	</li></ul>
179
180			<ul><li>
181	dimitri	1.17	N. Vinogradova, R. Ponte, K. Quinn, M. Tamisiea, J.M. Campin, and J. Davis,
182			2015: Dynamic Adjustment of the Ocean Circulation to Self-Attraction and
183			Loading Effects. J. Phys. Oceanogr., 45, 678-689.
184	dimitri	1.1	</li></ul>
185
186			<ul><li>
187	dimitri	1.24	X. Wang, L. Zhao, Z. Li, and D. Menemenlis, 2015:
188			<a href="http://ecco2.org/manuscripts/2015/Wang2015.pdf">
189			Regional ocean forecasting systems and their applications: Design
190			consideration of such a system for the South China Sea.</a> Aquatic
191	dimitri	1.25	Ecosystem Health & Management, 18, 443-453.
192	dimitri	1.24	</li></ul>
193
194			<ul><li>
195	dimitri	1.6	J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,
196			2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new
197			river discharge and river temperature climatology data set for the
198	dimitri	1.25	pan-Arctic region.</a> Ocean Model., 88, 1-15.
199	dimitri	1.1	</li></ul>
200
201			<ul><li>
202			V. Zemskova, B. White, and A. Scotti, 2015: Available potential energy
203			and the general circulation: Partitioning wind, buoyancy forcing, and
204	dimitri	1.25	irreversible mixing. J. Phys. Oceanogr., 45, 1510-1531.
205	dimitri	1.1	</li></ul>