MITgcm/www.ecco-group.org/ecco_2014_pub.html

<ul><li>
R. Abernathey, D. Ferreira, and A. Klocker, 2014: Diagnostics of eddy
mixing in a circumpolar channel. Ocean Modelling, submitted.
</li></ul>

<ul><li>
M. Azaneu, R. Kerr, and M. Mata,
2014: <a href="http://ecco2.org/manuscripts/2014/Azaneu2014.pdf">
Assessment of the ECCO2 reanalysis on the representation of Antarctic
Bottom Water properties.</a> Ocean Sci. Discuss., 11, 1023-1091.
</li></ul>

<ul><li>
H. Brix, D. Menemenlis, C. Hill, S. Dutkiewicz, O. Jahn, D. Wang,
K. Bowman, and H. Zhang, 2014:
<a href="http://ecco2.org/manuscripts/2014/Brix2014.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, 2014:
Low-frequency SST and upper-ocean heat content variability in the North
Atlantic. J. Clim., in revision.
</li></ul>

<ul><li>
A. Chaudhuri, R. Ponte, and A. Nguyen, 2014: A comparison of
atmospheric reanalysis products for the Arctic Ocean and implications
for uncertainties in air-sea fluxes, Journal of Climate, in revision.
</li></ul>

<ul><li>
R. Chen, G. Flerl, and C. Wunsch, 2014:
<a href="http://ecco2.org/manuscripts/2014/Chen2014.pdf"> A
description of local and nonlocal eddy-mean flow interaction in a
global eddy-permitting state estimate. </a> J. Phys. Oceanogr., 44,
2336-2352.
</li></ul>

<ul><li>
G. Danabasoglu, et al., 2014: North Atlantic simulations in
Coordinated Ocean-ice Reference Experiments, phase II (CORE-II): Part
I: Mean states. Ocean Modelling, 73, 76-107.
</li></ul>

<ul><li>
B. Dushaw, 2014:
<a href="http://scitation.aip.org/content/asa/journal/jasa/136/1/10.1121/1.4881928?aemail=author">
Assessing the horizontal refraction of ocean acoustic tomography
signals using high-resolution ocean state estimates.</a>
Acoust. Soc. Am., 136, 122.
</li></ul>

<ul><li>
B. Dushaw and D. Menemenlis, 2014:
<a href="http://ecco2.org/manuscripts/2014/Dushaw2014.pdf">
Antipodal acoustic thermometry: 1960, 2004.</a>
Deep-Sea Res. I, 86, 1-20.
</li></ul>

<ul><li>
M. Flexas, M. Schodlok, L. Padman, D. Menemenlis, and A. Orsi, 2014:
<a href="http://ecco2.org/manuscripts/2014/Flexas2014.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>
D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan, 2014:
Quantifying the processes controlling intraseasonal mixed-layer
temperature variability in the tropical Indian
Ocean. J. Geophys. Res., revised.
</li></ul>

<ul><li>
D. Halpern, D. Menemenlis, and X. Wang,
2014: <a href="http://ecco2.org/manuscripts/2014/Halpern2014.pdf">
Impact of data assimilation on ECCO2 Equatorial Undercurrent and North
Equatorial Countercurrent in the Pacific Ocean.</a> J. Atmos. Ocean
Tech., in press.
</li></ul>

<ul><li>
A. Kalmikov and P. Heimbach, 2014: A Hessian-based method for Uncertainty
Quantification in Global Ocean State Estimation. SIAM J. Scientific Computing
(Special Section on Planet Earth and Big Data), submitted.
</li></ul>

<ul><li>
J. Liu, K. Bowman, M. Lee, D. Henze, N. Bousserez, H. Brix,
J. Collatz, D. Menemenlis, L. Ott, S. Pawson, D. Jones, and R. Nassar,
2014: <a href="http://www.tellusb.net/index.php/tellusb/article/view/22486">
Carbon monitoring system flux estimation and attribution: Impact of
ACOS-GOSAT XCO2 sampling on the inference of terrestrial biospheric
sources and sinks.</a> Tellus B, 66, 22486.
</li></ul>

<ul><li>
M. Losch, V. Strass, B. Cisewski, C. Klaas, and R. Bellerby, 2014:
<a href="http://ecco2.org/manuscripts/2014/Losch2014.pdf">
Ocean state estimation from hydrography and velocity observations
during EIFEX with a regional biogeochemical ocean circulation
model.</a> J. Mar. Syst., 129, 437-451.
</li></ul>

<ul><li>
L. Ott, S. Pawson, J. Collatz, W. Gregg, D. Menemenlis, H. Brix,
C. Rousseaux, K. Bowman, J. Liu, A. Eldering, M. Gunson, S. Kawa,
2014: Quantifying the observability of CO2 flux uncertainty in
atmospheric CO2 records using products from NASA's Carbon Monitoring
Flux Pilot Project. J. Geophys. Res., submitted.
</li></ul>

<ul><li>
C. Piecuch and R. Ponte, 2014: Mechanisms of global mean steric sea
level change.  J. Clim., in press.
</li></ul>

<ul><li>
H. Seroussi, M. Morlighem, E. Rignot, J. Mouginot, E. Larour,
M. Schodlok, and A. Khazendar,
2014: <a href="http://ecco2.org/manuscripts/2014/Seroussi2014.pdf">
Sensitivity of the dynamics of Pine Island Glacier, West Antarctica,
to climate forcing for the next 50 years.</a> The Cryosphere, 8,
1699-1710.
</li></ul>

<ul><li>
G. Spreen, R. Kwok, D. Menemenlis, and A. Nguyen, 2014: Sea ice
deformation in a coupled ocean-sea ice model and in satellite remote
sensing data. J. Geophys. Res., submitted.
</li></ul>

<ul><li>
C. Wortham and C. Wunsch, 2014: A multi-dimensional spectral description of
ocean variability, J. Phys. Oceanogr., 44, 944-966.
</li></ul>

<ul><li>
C. Wunsch and P. Heimbach, 2014: Bidecadal Thermal Changes in the
Abyssal Ocean. J. Phys. Oceanogr., in press.
</li></ul>

<ul><li>
S. Zedler, C. Jackson, F. Yao, P. Heimbach, A. Koehl, R. Scott, and
I. Hoteit, 2013: 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, 2014: 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, 2014: Diagnostics of eddy
3	mixing in a circumpolar channel. Ocean Modelling, submitted.
4	</li></ul>
5
6	<ul><li>
7	M. Azaneu, R. Kerr, and M. Mata,
8	2014: <a href="http://ecco2.org/manuscripts/2014/Azaneu2014.pdf">
9	Assessment of the ECCO2 reanalysis on the representation of Antarctic
10	Bottom Water properties.</a> Ocean Sci. Discuss., 11, 1023-1091.
11	</li></ul>
12
13	<ul><li>
14	H. Brix, D. Menemenlis, C. Hill, S. Dutkiewicz, O. Jahn, D. Wang,
15	K. Bowman, and H. Zhang, 2014:
16	<a href="http://ecco2.org/manuscripts/2014/Brix2014.pdf"> Using
17	Green's Functions to initialize and adjust a global, eddying ocean
18	biogeochemistry general circulation model.</a> Ocean Modelling,
19	submitted.
20	</li></ul>
21
22	<ul><li>
23	M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2014:
24	Low-frequency SST and upper-ocean heat content variability in the North
25	Atlantic. J. Clim., in revision.
26	</li></ul>
27
28	<ul><li>
29	A. Chaudhuri, R. Ponte, and A. Nguyen, 2014: A comparison of
30	atmospheric reanalysis products for the Arctic Ocean and implications
31	for uncertainties in air-sea fluxes, Journal of Climate, in revision.
32	</li></ul>
33
34	<ul><li>
35	R. Chen, G. Flerl, and C. Wunsch, 2014:
36	<a href="http://ecco2.org/manuscripts/2014/Chen2014.pdf"> A
37	description of local and nonlocal eddy-mean flow interaction in a
38	global eddy-permitting state estimate. </a> J. Phys. Oceanogr., 44,
39	2336-2352.
40	</li></ul>
41
42	<ul><li>
43	G. Danabasoglu, et al., 2014: North Atlantic simulations in
44	Coordinated Ocean-ice Reference Experiments, phase II (CORE-II): Part
45	I: Mean states. Ocean Modelling, 73, 76-107.
46	</li></ul>
47
48	<ul><li>
49	B. Dushaw, 2014:
50	<a href="http://scitation.aip.org/content/asa/journal/jasa/136/1/10.1121/1.4881928?aemail=author">
51	Assessing the horizontal refraction of ocean acoustic tomography
52	signals using high-resolution ocean state estimates.</a>
53	Acoust. Soc. Am., 136, 122.
54	</li></ul>
55
56	<ul><li>
57	B. Dushaw and D. Menemenlis, 2014:
58	<a href="http://ecco2.org/manuscripts/2014/Dushaw2014.pdf">
59	Antipodal acoustic thermometry: 1960, 2004.</a>
60	Deep-Sea Res. I, 86, 1-20.
61	</li></ul>
62
63	<ul><li>
64	M. Flexas, M. Schodlok, L. Padman, D. Menemenlis, and A. Orsi, 2014:
65	<a href="http://ecco2.org/manuscripts/2014/Flexas2014.pdf">
66	Role of tides on the formation of the Antarctic Slope Front at the
67	Weddell-Scotia Confluence.</a> J. Geophys. Res., submitted.
68	</li></ul>
69
70	<ul><li>
71	D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan, 2014:
72	Quantifying the processes controlling intraseasonal mixed-layer
73	temperature variability in the tropical Indian
74	Ocean. J. Geophys. Res., revised.
75	</li></ul>
76
77	<ul><li>
78	D. Halpern, D. Menemenlis, and X. Wang,
79	2014: <a href="http://ecco2.org/manuscripts/2014/Halpern2014.pdf">
80	Impact of data assimilation on ECCO2 Equatorial Undercurrent and North
81	Equatorial Countercurrent in the Pacific Ocean.</a> J. Atmos. Ocean
82	Tech., in press.
83	</li></ul>
84
85	<ul><li>
86	A. Kalmikov and P. Heimbach, 2014: A Hessian-based method for Uncertainty
87	Quantification in Global Ocean State Estimation. SIAM J. Scientific Computing
88	(Special Section on Planet Earth and Big Data), submitted.
89	</li></ul>
90
91	<ul><li>
92	J. Liu, K. Bowman, M. Lee, D. Henze, N. Bousserez, H. Brix,
93	J. Collatz, D. Menemenlis, L. Ott, S. Pawson, D. Jones, and R. Nassar,
94	2014: <a href="http://www.tellusb.net/index.php/tellusb/article/view/22486">
95	Carbon monitoring system flux estimation and attribution: Impact of
96	ACOS-GOSAT XCO2 sampling on the inference of terrestrial biospheric
97	sources and sinks.</a> Tellus B, 66, 22486.
98	</li></ul>
99
100	<ul><li>
101	M. Losch, V. Strass, B. Cisewski, C. Klaas, and R. Bellerby, 2014:
102	<a href="http://ecco2.org/manuscripts/2014/Losch2014.pdf">
103	Ocean state estimation from hydrography and velocity observations
104	during EIFEX with a regional biogeochemical ocean circulation
105	model.</a> J. Mar. Syst., 129, 437-451.
106	</li></ul>
107
108	<ul><li>
109	L. Ott, S. Pawson, J. Collatz, W. Gregg, D. Menemenlis, H. Brix,
110	C. Rousseaux, K. Bowman, J. Liu, A. Eldering, M. Gunson, S. Kawa,
111	2014: Quantifying the observability of CO2 flux uncertainty in
112	atmospheric CO2 records using products from NASA's Carbon Monitoring
113	Flux Pilot Project. J. Geophys. Res., submitted.
114	</li></ul>
115
116	<ul><li>
117	C. Piecuch and R. Ponte, 2014: Mechanisms of global mean steric sea
118	level change. J. Clim., in press.
119	</li></ul>
120
121	<ul><li>
122	H. Seroussi, M. Morlighem, E. Rignot, J. Mouginot, E. Larour,
123	M. Schodlok, and A. Khazendar,
124	2014: <a href="http://ecco2.org/manuscripts/2014/Seroussi2014.pdf">
125	Sensitivity of the dynamics of Pine Island Glacier, West Antarctica,
126	to climate forcing for the next 50 years.</a> The Cryosphere, 8,
127	1699-1710.
128	</li></ul>
129
130	<ul><li>
131	G. Spreen, R. Kwok, D. Menemenlis, and A. Nguyen, 2014: Sea ice
132	deformation in a coupled ocean-sea ice model and in satellite remote
133	sensing data. J. Geophys. Res., submitted.
134	</li></ul>
135
136	<ul><li>
137	C. Wortham and C. Wunsch, 2014: A multi-dimensional spectral description of
138	ocean variability, J. Phys. Oceanogr., 44, 944-966.
139	</li></ul>
140
141	<ul><li>
142	C. Wunsch and P. Heimbach, 2014: Bidecadal Thermal Changes in the
143	Abyssal Ocean. J. Phys. Oceanogr., in press.
144	</li></ul>
145
146	<ul><li>
147	S. Zedler, C. Jackson, F. Yao, P. Heimbach, A. Koehl, R. Scott, and
148	I. Hoteit, 2013: Tests of the K-Profile Parameterization of turbulent
149	vertical mixing using seasonally averaged observations from the
150	TOGA/TAO array from 2004 to 2007. Ocean Modelling., in revision.
151	</li></ul>
152
153	<ul><li>
154	V. Zemskova, B. White, and A. Scotti, 2014: Available potential energy
155	and the general circulation: Partitioning wind, buoyancy forcing, and
156	irreversible mixing. J. Phys. Oceanogr., submitted.
157	</li></ul>