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