An advanced data assimilation system for the chesapeake bay: Performance evaluation

Journal of Atmospheric and Oceanic Technology

Volumn 29, Issue 10, 2012, Pages 1542-1557

  Hoffman, Matthew J ^a   Miyoshi, Takemasa ^b   Haine, Thomas W N ^c   Ide, Kayo ^b   Brown, Christopher W ^d   Murtugudde, Raghu ^e  

^a ROCHESTER INSTITUTE OF TECHNOLOGY   (United States)

^b University of Maryland   (United States)

^c JOHNS HOPKINS UNIVERSITY   (United States)

^d NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^e UNIVERSITY OF MARYLAND   (United States)

Author keywords

Data assimilation; Estuaries; Forcing; Ocean models

Indexed keywords

CHESAPEAKE BAY; CURRENT FIELDS; DATA ASSIMILATION; DATA ASSIMILATION METHODS; DATA ASSIMILATION SYSTEMS; FORCING; FORECAST ERRORS; IMPROVED FORECAST; INITIAL CONDITIONS; OBSERVING SYSTEM SIMULATION EXPERIMENTS; OCEAN MODEL; PERFORMANCE EVALUATION; REANALYSIS; REGIONAL OCEAN MODELING SYSTEM; SEA SURFACE TEMPERATURE (SST); SPARSE DATA; WIND FORCING;

ATMOSPHERIC TEMPERATURE; DATA PROCESSING; DIGITAL STORAGE; ESTUARIES; NONLINEAR DYNAMICAL SYSTEMS; SALINITY MEASUREMENT;

ERRORS;

DATA ASSIMILATION; ERROR ANALYSIS; KALMAN FILTER; MODELING; OCEANIC CURRENT; PERFORMANCE ASSESSMENT; SALINITY; SEA SURFACE TEMPERATURE;

CHESAPEAKE BAY; UNITED STATES;

EID: 84871916180     PISSN: 07390572     EISSN: 15200426     Source Type: Journal    
DOI: 10.1175/JTECH-D-11-00126.1     Document Type: Article

References (37)

1. Blumberg, A. F., 1977a: On the dynamic balance of the Chesapeake Bay waters. Chesapeake Sci., 18, 319-323, doi:10.2307/1350810.
2. Blumberg, A. F, 1977b: Numerical tidal model of Chesapeake Bay. J. Hydraul. Div., 103, 1-10.
3. Chapman, D. C., 1985: Numerical treatment of cross-shelf open boundaries in a barotropic coastal ocean model. J. Phys. Oceanogr., 15, 1060-1075.
4. Elliott, A., D. Wang, and D. Pritchard, 1978: Circulation near head of Chesapeake Bay. J. Mar. Res., 36, 643-655.
5. Fan, S., L.-Y. Oey, and P. Hamilton, 2004: Assimilation of drifter and satellite data in amodel of the northeasternGulf of Mexico. Cont. Shelf Res., 24, 1001-1013, doi:10.1016/j.csr.2004.02.013.
6. Flather, R., 1976: A tidal model of the northwest European continental shelf. Mem. Soc. Roy. Sci. Liege, 6 (10), 141-164.
7. Fukumori, I., 2002: A partitioned Kalman filter and smoother. Mon. Wea. Rev., 130, 1370-1383.
8. Goodrich,D.M., W. C. Boicourt, P.Hamilton, andD.W. Pritchard, 1987: Wind-induced destratification in Chesapeake Bay. J. Phys. Oceanogr., 17, 2232-2240.
9. Guo, X., and A. Valle-Levinson, 2008: Wind effects on the lateral structure of density-driven circulation in Chesapeake Bay. Cont. Shelf Res., 28, 2450-2471, doi:10.1016/j.csr. 2008.06.008.
10. Hicks, S., 1964: Tidal wave characteristics of Chesapeake Bay. Chesapeake Sci., 5, 103-113, doi:10.2307/1351368.
11. Hoffman, M. J., and Coauthors, 2010: An ensemble Kalman filter data assimilation system for the Martian atmosphere: Implementation and simulation experiments. Icarus, 209, 470-481, doi:10.1016/j.icarus.2010.03.034.
12. Hoffman, R. N., R. M. Ponte, E. J. Kostelich, A. Blumberg, I. Szunyogh, S. V. Vinogradov, and J. M. Henderson, 2008: A simulation study using a local ensemble transform Kalman filter for data assimilation in New York harbor. J. Atmos. Oceanic Technol., 25, 1638-1656.
13. Hunt, B. R., E. J. Kostelich, and I. Szunyogh, 2007: Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter. Physica D, 230 (1-2), 112-126, doi:10.1016/ j.physd.2006.11.008.
14. Kang, J.-S., E. Kalnay, J. Liu, I. Fung, T. Miyoshi, and K. Ide, 2011: "Variable localization"in an ensemble Kalman filter: Application to the carbon cycle data assimilation. J. Geophys. Res., 116, D09110, doi:10.1029/2010JD014673.
15. Lermusiaux, P. F. J., and Coauthors, 2006: Quantifying uncertainties in ocean predictions. Oceanography, 19, 90-103.
16. Li, M., L. Zhong, and W. C. Boicourt, 2005: Simulations of Chesapeake Bay estuary: Sensitivity to turbulence mixing parameterizations and comparison with observations. J. Geophys. Res., 110, C12004, doi:10.1029/2004JC002585.
17. Li, M, L. Zhong, W. C. Boicourt, S. Zhang, and D. Zhang, 2006: Hurricaneinduced storm surges, currents and destratification in a semienclosed bay. Geophys. Res. Lett., 33, L02604, doi:10.1029/ 2005GL024992.
18. Li, M, L. Zhong, W. C. Boicourt, S. Zhang, and D. Zhang, 2007: Hurricane-induced destratification and restratification in a partially-mixed estuary. J. Mar. Res., 65, 169-192.
19. Mellor, G. L., and T. Ezer, 1991: A Gulf Stream model and an altimetry assimilation scheme. J. Geophys. Res., 96 (C5), 8779-8795.
20. Miyoshi, T., 2011: The Gaussian approach to adaptive covariance inflation and the implementation with the local ensemble transform Kalman filter. Mon. Wea. Rev., 139, 1519-1535.
21. Miyoshi, T, and K. Aranami, 2006: Applying a four-dimensional local ensemble transform Kalman filter (4D-LETKF) to the JMA nonhydrostatic model (NHM). SOLA, 2, 128-131, doi:10.2151/sola.2006-033.
22. Miyoshi, T, and Y. Sato, 2007: Assimilating satellite radiances with a local ensemble transform Kalman filter (LETKF) applied to the JMA global model (GSM). SOLA, 3, 37-40, doi:10.2151/sola.2007-010.
23. Miyoshi, T, and S. Yamane, 2007: Local ensemble transform Kalman filtering with an AGCM at a T159/L48 resolution. Mon. Wea. Rev., 135, 3841-3861.
24. Miyoshi, T, and M. Kunii, 2012: The local ensemble transform Kalman filter with the Weather Research and Forecasting model: Experiments with real observations. Pure Appl. Geophys., 169, 321-333, doi:10.1007/s00024-011-0373-4.
25. Miyoshi, T, Y. Sato, and T. Kadowaki, 2010: Ensemble Kalman filter and 4D-Var inter-comparison with the Japanese operational global analysis and prediction system. Mon. Wea. Rev., 138, 2846-2866.
26. Mukai, Y. R., J. J. Westerink, R. A. Luettich, and D. Mark, 2002: Eastcoast 2001: A tidal constituent database for the western North Atlantic, Gulf of Mexico and Caribbean Sea. U.S. Army Corps of Engineers, Engineer Research and Development Center Rep. ERDC/CHL TR/02-24, 201 pp.
27. Ott, E., and Coauthors, 2004: Estimating the state of large spatiotemporally chaotic systems. Phys. Lett., 330A, 365-370, doi:10.1016/j.physleta.2004.08.004.
28. Patil, D. J., B. R. Hunt, E. Kalnay, J. A. Yorke, and E. Ott, 2001: Local low dimensionality of atmospheric dynamics. Phys. Rev. Lett., 86, 5878-5881, doi:10.1103/PhysRevLett.86.5878.
29. Pritchard, D., 1952: Salinity distribution and circulation in the Chesapeake Bay estuarine system. J. Mar. Res., 11, 106-123.
30. Pritchard, D, 1956: The dynamic structure of a coastal plan estuary. J. Mar. Res., 15, 33-42.
31. Schubel, J., and D. Pritchard, 1986: Responses of upper Chesapeake Bay to variations in discharge of the Susquehanna River. Estuaries, 9, 236-249.
32. Stammer, D., and Coauthors, 2002: Global ocean circulation during 1992-1997, estimated from ocean observations and a general circulation model. J. Geophys. Res., 107, 3118, doi:10.1029/ 2001JC000888.
33. Szunyogh, I., E. J. Kostelich, G. Gyarmati, D. J. Patil, B. R. Hunt, E. Kalnay, E. Ott, and J. A. Yorke, 2005: Assessing a local ensemble Kalman filter: Perfect model experiments with the National Centers for Environmental Prediction global model. Tellus, 57A, 528-545, doi:10.1111/j.1600-0870.2005.00136.x.
34. Wang, H. V., and B. H. Johnson, 2000: Validation and application of the second generation three dimensional hydrodynamic model of Chesapeake Bay. Water Qual. Ecosyst. Model., 1, 51-90, doi:10.1023/A:1013982515467.
35. Wunsch, C., and P. Heimbach, 2007: Practical global oceanic state estimation. Physica D, 230 (1-2), 197-208, doi:10.1016/ j.physd.2006.09.040.
36. Xu, J., S.-Y. Chao, R. R. Hood, H. V. Wang, and W. C. Boicourt, 2002: Assimilating high-resolution salinity data into a model of a partially mixed estuary. J. Geophys. Res., 107, 3074, doi:10.1029/2000JC000626.
37. Xu, J, W. Long, J. D. Wiggert, W. J. Lanerolle, C. W. Brown, R. Murtugudde, and R. R. Hood, 2012: Climate forcing and salinity variability in the Chesapeake Bay, USA. Estuaries Coasts, 35, 237-261, doi:10.1007/s12237-011-9423-5.