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

<ul><li>
M. Balmaseda, M., et al., 2015: The ocean reanalyses intercomparison project
(ora-ip). J. Oper. Oceanogr., 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.
</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>
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.
</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>
I. Fukumori, 2015: Combining models and data in large-scale oceanography:
Examples from the Consortium for Estimating the Circulation and Climate of the
Ocean (ECCO). Advanced Data Assimilation for Geosciences: Lecture Notes of the
Les Houches School of Physics: Special Issue, June 2012.
</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.
</li></ul>

<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>
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>
X. Liang, C. Wunsch, P. Heimbach, and G. Forget, 2015: 
Vertical redistribution of oceanic heat. J. Clim., 28, 3821-3833.
</ul></li>

<ul><li>
K. McCaffrey, B. Fox-Kemper, and G. Forget, 2015: Estimates of Ocean 
Macro-turbulence: Structure Function and Spectral Slope from Argo Profiling 
Floats. J. Phys. Oceanogr., 45, 1773-1793.
</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.
</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>
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>
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>
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>
Aquat. Ecosyst. Health Manag., 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>
C. Yan, J. Zhu, and J. Xie, 2015: An ocean data assimilation system in the
Indian Ocean and west Pacific Ocean. Adv. Atmos. Sci., 32,
1460-1472.
</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>

<ul><li>
Y. Zhang, D. Jacob, S. Dutkiewicz, H. Amos, M. Long, and E. Sunderland, 2015:
Biogeochemical drivers of the fate of riverine mercury discharged to the
global and Arctic oceans. Global Biogeochem. Cycles, 29, 854-864.
</li></ul>
1	gforget	1.21	<ul><li>
2	dimitri	1.24	M. Balmaseda, M., et al., 2015: The ocean reanalyses intercomparison project
3	dimitri	1.27	(ora-ip). J. Oper. Oceanogr., 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	dimitri	1.27	Clim., 18, 3943-3956.
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	1.4	P. Duarte, P. Assmy, H. Hop, G. Spreen, S. Gerland, and S. Hudson,
27			2015: <a href="http://ecco2.org/manuscripts/2015/Duarte2015.pdf"> The
28			importance of vertical resolution in sea ice algae production models.</a>
29			J. Mar. Syst., 145, 69-90.
30			</li></ul>
31
32			<ul><li>
33	dimitri	1.20	I. Fenty, D. Menemenlis, and H. Zhang, 2015:
34			<a href="http://ecco2.org/manuscripts/2015/Fenty2015.pdf">
35	dimitri	1.25	Global Coupled Sea Ice-Ocean State Estimation.</a> Clim. Dyn.,
36			doi:10.1007/s00382-015-2796-6
37	dimitri	1.20	</li></ul>
38
39			<ul><li>
40	dimitri	1.1	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	dimitri	1.19	Weddell-Scotia Confluence.</a> J. Geophys. Res., 120, 3658-3680.
44	dimitri	1.1	</li></ul>
45
46			<ul><li>
47	dimitri	1.24	G. Forget, D. Ferreira, and X. Liang, 2015: On the observability of
48			turbulent transport rates by argo: supporting evidence from an
49			inversion experiment. Ocean Science, 11, 839-853.
50			</li></ul>
51
52			<ul><li>
53	dimitri	1.22	G. Forget and R.M. Ponte, 2015:
54			<a href="http://www.sciencedirect.com/science/article/pii/S0079661115001354">
55			The partition of regional sea level variability.</a> Prog. Oceanogr.,
56			137, 173-195.
57	dimitri	1.1	</ul></li>
58
59			<ul><li>
60	dimitri	1.22	G. Forget, J.M. Campin, P. Heimbach, C.N. Hill, R.M. Ponte, and
61			C. Wunsch, 2015:
62			<a href="http://www.geosci-model-dev.net/8/3071/2015/gmd-8-3071-2015.pdf">
63			ECCO version 4: an integrated framework for non-linear inverse
64			modeling and global ocean state estimation.</a> Geosci. Model Dev., 8,
65	dimitri	1.27	3071-3104.
66	dimitri	1.22	</ul></li>
67
68			<ul><li>
69	heimbach	1.26	The ECCO Consortium (G. Forget, I. Fukumori, P. Heimbach, T. Lee, D. Menemenlis, and R.M. Ponte), 2015:
70	dimitri	1.22	<a href="http://ecco2.org/manuscripts/2015/ECCO_CLIVAR.pdf">
71			Estimating the Circulation and Climate of the Ocean (ECCO): Advancing
72			CLIVAR Science.</a> CLIVAR Exchanges, 67, 41-45.
73	gforget	1.21	</ul></li>
74
75			<ul><li>
76	dimitri	1.27	I. Fukumori, 2015: Combining models and data in large-scale oceanography:
77			Examples from the Consortium for Estimating the Circulation and Climate of the
78			Ocean (ECCO). Advanced Data Assimilation for Geosciences: Lecture Notes of the
79			Les Houches School of Physics: Special Issue, June 2012.
80	dimitri	1.18	</li></ul>
81
82			<ul><li>
83	dimitri	1.27	I. Fukumori, O. Wang, W. Llovel, I. Fenty and G. Forget, 2015: A near-uniform
84	dimitri	1.17	fluctuation of ocean bottom pressure and sea level across the deep ocean
85	dimitri	1.27	basins of the Arctic Ocean and the Nordic Seas. Prog. Oceanogr., 134, 152-172.
86			</li></ul>
87	heimbach	1.15
88			<ul><li>
89	dimitri	1.7	D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan,
90			2015: <a href="http://ecco2.org/manuscripts/2015/Halkides2015.pdf">
91			Quantifying the processes controlling intraseasonal mixed-layer temperature
92	dimitri	1.12	variability in the tropical Indian Ocean.</a> J. Geophys. Res., 120, 692-715.
93	dimitri	1.1	</li></ul>
94
95			<ul><li>
96			D. Halpern, D. Menemenlis, and X. Wang,
97			2015: <a href="http://ecco2.org/manuscripts/2015/Halpern2015.pdf">
98			Impact of data assimilation on ECCO2 Equatorial Undercurrent and North
99			Equatorial Countercurrent in the Pacific Ocean.</a> J. Atmos. Ocean
100			Tech., 32, 131-143.
101			</li></ul>
102
103			<ul><li>
104	dimitri	1.17	P. Heimbach, 2015: Application of derivative code in climate modeling.
105	heimbach	1.13	in: N. Gauger, M. Giles, M. Gunzburger, and U. Naumann (eds.):
106			Adjoint Methods in Computational Science, Engineering, and Finance.
107	dimitri	1.17	Dagstuhl Reports, 4, 14-16.
108	dimitri	1.2	</li></ul>
109
110			<ul><li>
111	dimitri	1.27	V. Le Fouest, M. Manizza, B. Tremblay, and M. Babin, 2015:
112			<a href="http://www.biogeosciences.net/12/3385/2015/bg-12-3385-2015.html">
113			Modeling the impact of riverine DON removal by marine bacterioplankton on
114			primary production in the Arctic Ocean.</a> Biogeosciences, 12, 3385-3402.
115			</li></ul>
116
117			<ul><li>
118	dimitri	1.1	X. Liang, C. Wunsch, P. Heimbach, and G. Forget, 2015:
119	dimitri	1.27	Vertical redistribution of oceanic heat. J. Clim., 28, 3821-3833.
120			</ul></li>
121
122			<ul><li>
123			K. McCaffrey, B. Fox-Kemper, and G. Forget, 2015: Estimates of Ocean
124			Macro-turbulence: Structure Function and Spectral Slope from Argo Profiling
125			Floats. J. Phys. Oceanogr., 45, 1773-1793.
126	dimitri	1.1	</ul></li>
127
128			<ul><li>
129	dimitri	1.9	L. Ott, S. Pawson, G. Collatz, W. Gregg, D. Menemenlis, H. Brix, C. Rousseaux,
130			K. Bowman, J. Liu, A. Eldering, M. Gunson, and S. Kawa,
131	dimitri	1.6	2015: <a href="http://ecco2.org/manuscripts/2015/Ott2015.pdf"> Assessing the
132	dimitri	1.9	magnitude of CO2 flux uncertainty in atmospheric CO2 records using products
133			from NASA's Carbon Monitoring Flux Pilot Project.</a> J. Geophys. Res., 120,
134	dimitri	1.10	734-765.
135	dimitri	1.1	</li></ul>
136
137			<ul><li>
138			C. Piecuch, I. Fukumori, R. Ponte, and O. Wang, 2015: Vertical
139	dimitri	1.3	structure of ocean pressure fluctuations with application to
140	heimbach	1.26	satellite-gravimetric observations. J. Atmos. Oce. Tech., 32, 603-613.
141	dimitri	1.1	</li></ul>
142
143			<ul><li>
144	dimitri	1.24	C. Piecuch, P. Heimbach, R.M. Ponte, and G. Forget, 2015: Sensitivity
145			of contemporary sea level trends in a global ocean state estimate to effects
146	dimitri	1.27	of geothermal fluxes, Ocean Model., 96, 214-220.
147	heimbach	1.26	</li></ul>
148
149			<ul><li>
150	dimitri	1.27	K. J. Quinn, R. M. Ponte, and M. E. Tamisiea, 2015: Impact of self-attraction
151			and loading on Earth rotation. J. Geophys. Res., 120, 4510–4521.
152	dimitri	1.17	</li></ul>
153
154			<ul><li>
155			A. Storto, and 36 others, 2015: Steric sea level variability (1993-2010) in an
156	dimitri	1.25	ensemble of ocean reanalyses and objective analyses. Clim. Dyn.,
157	dimitri	1.17	doi:10.1007/s00382-015-2554-9
158	heimbach	1.14	</li></ul>
159
160			<ul><li>
161	gforget	1.21	Toyoda, T., and 32 others, 2015: Interannual-decadal variability of wintertime
162	dimitri	1.25	mixed layer depths in the north pacific detected by an ensemble of ocean
163			syntheses. Clim. Dyn., doi:10.1007/s00382-015-2762-3
164	gforget	1.21	</li></ul>
165
166			<ul><li>
167	dimitri	1.25	T. Toyoda, and 32 others, 2015: Intercomparison and validation of the
168			mixed layer depth fields of global ocean syntheses. Clim. Dyn.,
169			doi:10.1007/s00382-015-2637-7
170	heimbach	1.15	</li></ul>
171
172			<ul><li>
173	dimitri	1.27	T. Van der Stocken, 2015:
174			<a href="http://ecco2.org/manuscripts/2015/Stocken2015.pdf"> Biological and
175			environmental drivers of mangrove propagule dispersal: A field and modeling
176			approach.</a> Ph.D. Thesis, Vrije Universiteit Brussel and the Universite Libre de Bruxelles.
177			</li></ul>
178
179			<ul><li>
180	dimitri	1.17	N. Vinogradova, R. Ponte, K. Quinn, M. Tamisiea, J.M. Campin, and J. Davis,
181			2015: Dynamic Adjustment of the Ocean Circulation to Self-Attraction and
182			Loading Effects. J. Phys. Oceanogr., 45, 678-689.
183	dimitri	1.1	</li></ul>
184
185			<ul><li>
186	dimitri	1.24	X. Wang, L. Zhao, Z. Li, and D. Menemenlis, 2015:
187			<a href="http://ecco2.org/manuscripts/2015/Wang2015.pdf">
188			Regional ocean forecasting systems and their applications: Design
189	dimitri	1.27	consideration of such a system for the South China Sea.</a>
190			Aquat. Ecosyst. Health Manag., 18, 443-453.
191	dimitri	1.24	</li></ul>
192
193			<ul><li>
194	dimitri	1.6	J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis,
195			2015: <a href="http://ecco2.org/manuscripts/2015/Whitefield2015.pdf"> A new
196			river discharge and river temperature climatology data set for the
197	dimitri	1.25	pan-Arctic region.</a> Ocean Model., 88, 1-15.
198	dimitri	1.1	</li></ul>
199
200			<ul><li>
201	dimitri	1.27	C. Yan, J. Zhu, and J. Xie, 2015: An ocean data assimilation system in the
202			Indian Ocean and west Pacific Ocean. Adv. Atmos. Sci., 32,
203			1460-1472.
204			</li></ul>
205
206			<ul><li>
207	dimitri	1.1	V. Zemskova, B. White, and A. Scotti, 2015: Available potential energy
208			and the general circulation: Partitioning wind, buoyancy forcing, and
209	dimitri	1.25	irreversible mixing. J. Phys. Oceanogr., 45, 1510-1531.
210	dimitri	1.1	</li></ul>
211	dimitri	1.27
212			<ul><li>
213			Y. Zhang, D. Jacob, S. Dutkiewicz, H. Amos, M. Long, and E. Sunderland, 2015:
214			Biogeochemical drivers of the fate of riverine mercury discharged to the
215			global and Arctic oceans. Global Biogeochem. Cycles, 29, 854-864.
216			</li></ul>