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. 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	dimitri	1.1	<ul><li>
2	dimitri	1.2	R. Abernathey, D. Ferreira, and A. Klocker, 2014: Diagnostics of eddy
3	dimitri	1.1	mixing in a circumpolar channel. Ocean Modelling, submitted.
4			</li></ul>
5
6			<ul><li>
7	dimitri	1.14	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	dimitri	1.1	submitted.
13			</li></ul>
14
15			<ul><li>
16	dimitri	1.2	M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2014:
17	dimitri	1.1	Low-frequency SST and upper-ocean heat content variability in the North
18	heimbach	1.4	Atlantic. J. Clim., in revision.
19	dimitri	1.1	</li></ul>
20
21			<ul><li>
22	dimitri	1.13	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	heimbach	1.6	</li></ul>
26
27			<ul><li>
28	dimitri	1.13	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	dimitri	1.1	</li></ul>
32
33			<ul><li>
34	dimitri	1.13	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	dimitri	1.12	</li></ul>
40
41			<ul><li>
42	dimitri	1.2	B. Dushaw and D. Menemenlis, 2014:
43	dimitri	1.3	<a href="http://ecco2.org/manuscripts/2014/Dushaw2014.pdf">
44	dimitri	1.2	Antipodal acoustic thermometry: 1960, 2004.</a>
45	dimitri	1.7	Deep-Sea Res. I, 86, 1-20.
46	dimitri	1.1	</li></ul>
47
48			<ul><li>
49	dimitri	1.14	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	dimitri	1.15	D. Halpern, D. Menemenlis, and X. Wang,
57			2014: <a href="http://ecco2.org/manuscripts/2014/Halpern2014.pdf">
58			Impact of data assimilation on ECCO2 Equatorial Undercurrent and North
59			Equatorial Countercurrent in the Pacific Ocean.</a> J. Atmos. Ocean
60			Tech., in press.
61			</li></ul>
62
63			<ul><li>
64	dimitri	1.2	A. Kalmikov and P. Heimbach, 2014: A Hessian-based method for Uncertainty
65	dimitri	1.1	Quantification in Global Ocean State Estimation. SIAM J. Scientific Computing
66			(Special Section on Planet Earth and Big Data), submitted.
67			</li></ul>
68
69			<ul><li>
70	dimitri	1.10	J. Liu, K. Bowman, M. Lee, D. Henze, N. Bousserez, H. Brix,
71	dimitri	1.11	J. Collatz, D. Menemenlis, L. Ott, S. Pawson, D. Jones, and R. Nassar,
72			2014: <a href="http://www.tellusb.net/index.php/tellusb/article/view/22486">
73			Carbon monitoring system flux estimation and attribution: Impact of
74			ACOS-GOSAT XCO2 sampling on the inference of terrestrial biospheric
75			sources and sinks.</a> Tellus B, 66, 22486.
76	dimitri	1.10	</li></ul>
77
78			<ul><li>
79	dimitri	1.8	M. Losch, V. Strass, B. Cisewski, C. Klaas, and R. Bellerby, 2014:
80			<a href="http://ecco2.org/manuscripts/2014/Losch2014.pdf">
81			Ocean state estimation from hydrography and velocity observations
82			during EIFEX with a regional biogeochemical ocean circulation
83			model.</a> J. Mar. Syst., 129, 437-451.
84			</li></ul>
85
86			<ul><li>
87	dimitri	1.14	L. Ott, S. Pawson, J. Collatz, W. Gregg, D. Menemenlis, H. Brix,
88			C. Rousseaux, K. Bowman, J. Liu, A. Eldering, M. Gunson, S. Kawa,
89			2014: Quantifying the observability of CO2 flux uncertainty in
90			atmospheric CO2 records using products from NASA's Carbon Monitoring
91			Flux Pilot Project. J. Geophys. Res., submitted.
92	dimitri	1.13	</li></ul>
93
94			<ul><li>
95	dimitri	1.14	C. Piecuch and R. Ponte, 2014: Mechanisms of global mean steric sea
96			level change. J. Clim., in press.
97	heimbach	1.5	</li></ul>
98
99			<ul><li>
100	dimitri	1.2	G. Spreen, R. Kwok, D. Menemenlis, and A. Nguyen, 2014: Sea ice
101	dimitri	1.1	deformation in a coupled ocean-sea ice model and in satellite remote
102			sensing data. J. Geophys. Res., submitted.
103			</li></ul>
104
105			<ul><li>
106	dimitri	1.2	C. Wortham and C. Wunsch, 2014: A multi-dimensional spectral description of
107	dimitri	1.10	ocean variability, J. Phys. Oceanogr., 44, 944-966.
108	dimitri	1.1	</li></ul>
109
110			<ul><li>
111	dimitri	1.13	C. Wunsch and P. Heimbach, 2014: Bidecadal Thermal Changes in the
112			Abyssal Ocean. J. Phys. Oceanogr., in press.
113	dimitri	1.1	</li></ul>
114	heimbach	1.4
115			<ul><li>
116	dimitri	1.13	S. Zedler, C. Jackson, F. Yao, P. Heimbach, A. Koehl, R. Scott, and
117			I. Hoteit, 2013: Tests of the K-Profile Parameterization of turbulent
118			vertical mixing using seasonally averaged observations from the
119			TOGA/TAO array from 2004 to 2007. Ocean Modelling., in revision.
120	heimbach	1.4	</li></ul>
121
122	dimitri	1.11	<ul><li>
123			V. Zemskova, B. White, and A. Scotti, 2014: Available potential energy
124			and the general circulation: Partitioning wind, buoyancy forcing, and
125			irreversible mixing. J. Phys. Oceanogr., submitted.
126			</li></ul>