Geoscience Reference
In-Depth Information
Acknowledgements The first author gratefully acknowledges the work of Roger Daley and Ed
Barker in developing the NAVDAS solution algorithm which forms the basis of the NCODA
3DVAR. This work was funded in part by NRL base projects “Variational Data Assimilation for
Ocean Prediction” and “Observation Impact using a Variational Adjoint System”. Funding was also
received from the National Ocean Partnership Program (NOPP) through the project “US GODAE:
Global-Ocean Prediction with the HYbrid Coordinate Ocean Model (HYCOM)” and the Office
of Naval Research (ONR) under program element number 61153 N. The Department of Defense
High Performance Computing Modernization Program provided grants of computer time at Major
Shared Resource Centers operated by the Naval Oceanographic Office, Stennis Space Center, MS,
USA. This is NRL contribution NRL/BC/7320-12-1125 and has been approved for public release.
Distribution is unlimited.
References
Bishop CH, Toth Z (1999) Ensemble transformation and adaptive observations. J Atmos Sci
56:1748-1765
Bleck R (2002) An oceanic general circulation model framed in hybrid isopycnic- Cartesian
coordinates. Ocean Model 4:55-88
Bloom SC, Takacs LL, Da Silva AM, Ledvina D (1996) Data assimilation using incremental
analysis updates. Mon Weather Rev 124:1256-1271
Chassignet EP, Smith LT, Halliwell GR, Bleck R (2003) North Atlantic simulations with the
HYbrid coordinate ocean model (HYCOM): impact of the vertical coordinate choice, reference
pressure, and thermobaricity. J Phys Oceanogr 33(12):2504-2526
Chelton DB, DeSzoeke RA, Schlax MG, Naggar KE, Siwertz N (1998) Geographical variability
of the first baroclinic Rossby radius of deformation. J Phys Oceanogr 28:433-460
Cleveland WS, Devlin SJ (1988) Locally weighted regression: an approach to regression analysis
by local fitting. J Am Stat Assoc 83:596-610
Cooper M, Haines KA (1996) Altimetric assimilation with water property conservation. J Geophys
Res 24:1059-1077
Cummings JA (2005) Operational multivariate ocean data assimilation. Q J R Met Soc 131:
3583-3604
Cummings JA (2011) Ocean data qaulity control. In: Schiler A, Brassington GB (eds) Operational
oceanography in the 21st century. Springer, Dordrecht, pp 91-121
Courtier P (1997) Dual formulation of four-dimensional variational assimilation. Q J R Meteorol
Soc 123:2449-2461
Daley R (1991) Atmospheric data analysis. Cambridge University Press, Cambridge, p 457
Daley R, Barker E (2000) The NAVDAS source topic. Naval Research Laboratory NRL/PU/
7530-00-418, Monterey, 151pp
Daley R, Barker E (2001) NAVDAS formulation and diagnostics. Mon Weather Rev 129:869-883
Davis R (2005) Intermediate-depth circulation of the Indian and South Pacific Oceans measured
by autonomous floats. J Phys Oceanog 35:683-707
Fofonoff NP, Millard RC (1983) Algorithms for computation of fundamental properties of
seawater. Tech Pap Mar Sci UNESCO 44:53
Fox DN, Teague WJ, Barron CN, Carnes MR, Lee CM (2002) The modular ocean data assimilation
system. J Atmos Ocean Technol 19:240-252
Halliwell GR (2004) Evaluation of vertical coordinate and vertical mixing algorithms in the
HYbrid Coordinate Ocean Model (HYCOM). Ocean Model 7(3-4):285-322
Han Y, van Delst P, Liu Q, Weng F, Yan B, Treadon R, Derber J (2006) JCSDA Community
Radiative Transfer Model (CRTM)—version 1, NOAATechnical Report. NESDIS 122:40
Helber RW, Carnes MR, Townsend TL, Barron CN, Dastugue JM (2012) Validation test 1 report
for the Improved Synthetic Ocean Profile (ISOP) system, Part I: Stand-alone capability (In
preparation)
Search WWH ::




Custom Search