Annotation of /MITgcm_contrib/gael/verification/ECCO_v4_r2/README

This repository provides the model setup to re-run the ECCO v4 r2 solution using MITgcm.
To this end, follow directions provided in eccov4.pdf that is available at
http://wwwcvs.mitgcm.org/viewvc/MITgcm/MITgcm_contrib/gael/verification/eccov4.pdf?view=co

ECCO v4 r2 (Estimating the Circulation and Climate of the Ocean, version 4, release 2; 
https://dataverse.harvard.edu/dataverse/ECCOv4r2) is an ocean state estimate and solution 
of the MITgcm (MIT general circulation model; http://mitgcm.org/) that covers the period 
from 1992 to 2011 (Forget et al., 2016). It is a minor update of the original ECCO v4 
solution (Forget et al., 2015) that benefits from a few additional corrections listed 
in Forget et al. (2016) and is easier to analyze and re-run.

Forget, G., J.-M. Campin, P. Heimbach, C. N. Hill, R. M. Ponte, and C. Wunsch, 2015: 
ECCO version 4: an integrated framework for non-linear inverse modeling and global 
ocean state estimation. Geoscientific Model Development, 8, 3071-3104, 
http://dx.doi.org/10.5194/gmd-8-3071-2015, URL http://www.geosci-model-dev.net/8/3071/2015/

Forget, G., J.-M. Campin, P. Heimbach, C. N. Hill, R. M. Ponte, and C. Wunsch, 2016: 
ECCO Version 4: Second Release, http://hdl.handle.net/1721.1/102062, 
URL https://dspace.mit.edu/bitstream/handle/1721.1/102062/standardAnalysis.pdf?sequence=1
1	gforget	1.2	This repository provides the model setup to re-run the ECCO v4 r2 solution using MITgcm.
2			To this end, follow directions provided in eccov4.pdf that is available at
3			http://wwwcvs.mitgcm.org/viewvc/MITgcm/MITgcm_contrib/gael/verification/eccov4.pdf?view=co
4
5	gforget	1.1	ECCO v4 r2 (Estimating the Circulation and Climate of the Ocean, version 4, release 2;
6			https://dataverse.harvard.edu/dataverse/ECCOv4r2) is an ocean state estimate and solution
7			of the MITgcm (MIT general circulation model; http://mitgcm.org/) that covers the period
8			from 1992 to 2011 (Forget et al., 2016). It is a minor update of the original ECCO v4
9			solution (Forget et al., 2015) that benefits from a few additional corrections listed
10			in Forget et al. (2016) and is easier to analyze and re-run.
11
12			Forget, G., J.-M. Campin, P. Heimbach, C. N. Hill, R. M. Ponte, and C. Wunsch, 2015:
13			ECCO version 4: an integrated framework for non-linear inverse modeling and global
14			ocean state estimation. Geoscientific Model Development, 8, 3071-3104,
15			http://dx.doi.org/10.5194/gmd-8-3071-2015, URL http://www.geosci-model-dev.net/8/3071/2015/
16
17			Forget, G., J.-M. Campin, P. Heimbach, C. N. Hill, R. M. Ponte, and C. Wunsch, 2016:
18			ECCO Version 4: Second Release, http://hdl.handle.net/1721.1/102062,
19			URL https://dspace.mit.edu/bitstream/handle/1721.1/102062/standardAnalysis.pdf?sequence=1