Citations

Prof. I.M. Navon

November 28, 2009

1. Abarbanel S, Stanescu D and Hussaini MY, Unsplit variables perfectly matched layers forthe shallow water equations with Coriolis forces Computat Geosci,2003, Vol 7 (4), 275-294

2. Adeyinka OB, Naterer GF Experimental uncertainty of measured entropy production withpulsed laser PIV and planar laser induced fluorescence. International Journal of Heat andMass Transfer,2005,Vol. 48 (8), 1450-1461

3. Afanasyev YD and Demirov EK, A variational filtration and interpolation technique for PIVemploying fluid dynamical constraints. Experiments in Fluids, 2005, Vol 39 (5),pp 828-835

4. Agarwal N, Sharma R, Basu SK, et al. Evaluation of relative performance of QuikSCAT andNCEP re-analysis winds through simulations by an OGCM. DEEP-SEA RESEARCH PARTI-OCEANOGRAPHIC RESEARCH PAPERS 54 (8): 1311-1328 AUG 2007

5. Agoshkov VI, Lebedev SA, Parmuzin EI, Numerical solution to the problem of variationalassimilation of operational observational data on the ocean surface temperature . IZVESTIYAATMOSPHERIC AND OCEANIC PHYSICS Volume: 45 Issue: 1 Pages: 69-101 Published:FEB 2009

6. Ahrens W, Difference Approximations for Staggered grids and their application in the vicinityof lateral boundaries. Zeitschrift fur Meteorologie 1980, Vol 30, Iss 5, pp 308-317.

7. Akella S, Navon IM, Different approaches to model error formulation in 4D-Var: a studywith high-resolution advection schemes . TELLUS SERIES A-DYNAMIC METEOROLOGYAND OCEANOGRAPHY Vol. 61 Issue: 1 Pages: 112-128 , 2009

8. Akmaev RA, Optimization of a middle atmosphere diagnostic scheme. Journal of Atmosphericand Solar-Terrestrial Physics 1997, Vol 59, Iss 9, pp 983-992.

9. Akilli H, Sahin B and Tumen NF, Suppression of vortex shedding of circular cylinder inshallow water by a splitter plate. Flow Measurement and Instrumentation, 2005, Vol. 16(4),pp 211-219

10. Aksoy A, Zhang FQ, Nielsen-Gammon JW, Ensemble-based simultaneous state and parameterestimation in a two-dimensional sea-breeze model. Monthly Weather Review Vol 134 (10),pp2951-2970 OCT 2006

11. Al-Baali M Extra-updates criterion for the limited memory BFGS algorithm for large scalenonlinear optimization J COMPLEXITY 18 (2), pp 557-572 2002

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12. Al-Baali M Improved Hessian approximations for the limited memory BFGS method NUMERALGORITHMS Vol. 22 (1), pp 99-112 1999

13. Al-Haik MS, Garmestani H, Savran A Explicit and implicit viscoplastic models for polymericcomposite INTERNATIONAL JOURNAL OF PLASTICITY 20 (10): 1875-1907 2004

14. Al-Haik MS, Hussaini MY, Garmestani H Prediction of nonlinear viscoelastic behavior ofpolymeric composites using an artificial neural network. International Journal of Plastic-ity,2006, Vol 22 (7), 1367-1392

15. Alekseyev VV, Galkin NA and Zalesny VB, A numerical study of the Arabian sea variabilityto wind variations. Okeanologiya 1993, Vol 33, Iss 1, pp 13-20.

16. Al-Haik MS, Hussaini MY, Molecular dynamics simulation of reorientation of polyethylenechains under a high magnetic field. Molecular Simulation Vol 32 (8), 601-608 JUL 2006

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17. Alexe M, Sandu A, Forward and adjoint sensitivity analysis with continuous explicit Runge-Kutta schemes . APPLIED MATHEMATICS AND COMPUTATION Volume: 208 Issue: 2Pp 328-346 , 2009

18. Alexeev VA, Application of optimal-control methods for constructing finite-difference schemesin hydrodynamics. Russian Journal of Numerical Analysis and Mathematical Modelling 1994,Vol 9, Iss 4, pp 315-336.

19. Alekseev AK An adjoint-based a posteriori estimation of iterative convergence error Comput-ers & Mathematics with Applications 52 (8-9): 1205-1212 OCT-NOV 2006

20. Alexe M, Sandu A On the discrete adjoints of adaptive time stepping algorithms . JOURNALOF COMPUTATIONAL AND APPLIED MATHEMATICS Volume: 233 Issue: 4 Pages:1005-1020 Published: DEC 15 2009

21. Alwali AA and Evans DJ, The explicit alternating direction methods and their applicationsto problems in fluid mechanics. Advances in Engineering Software 1996, Vol 26, Iss 2, pp83-99.

22. Amerault C and Zou X , Preliminary steps in assimilating SSM/I brightness temperatures ina hurricane prediction scheme J Atmos Ocean Tech 2003, Vol. 20 (8), pp.1154-1169

23. Anderson DM and Prell WL, The structure of the southwest monsoon winds over the Arabiansea during the late quaternary - observations, simulations, and marine geologic evidence.Journal of Geophysical Research-Oceans 1992, Vol 97, Iss C10, pp 15481-15487.

24. Anderson JL, An adaptive covariance inflation error correction algorithm for ensemble filters, Tellus Series A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY 59 (2), 210-224MAR 2007

25. Anderson JL Exploring the need for localization in ensemble data assimilation using a hier-archical ensemble filter Physica D-Nonlinear Phenomena 230 (1-2), 99-111, JUN 2007

26. Anderson JL, Spatially and temporally varying adaptive covariance inflation for ensemblefilters . TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY Vol-ume: 61 Issue: 1 Pages: 72-83 ,2009

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27. Annan JD, Hindcasting coastal sea levels in Morecambe Bay. Estuarine Coastal and ShelfScience 2001, Vol 53, Iss 4, pp 459-466.

28. Appelo D, Kreiss G A new absorbing layer for elastic waves . Journal of ComputationalPhysics , 2006, Vol 215 (2), 642-660

29. Appelo D, Hagstrom T, Kreiss G, Perfectly matched layers for hyperbolic systems: Generalformulation, well-posedness, and stability . Siam Journal on Applied Mathematics, 2006,Vol67 (1), 1-23

30. Asher RL, Micha DA and Brucat PJ, Equilibrium properties of transition-metal ion-Argonclusters via simulated annealing. Journal of Chemical Physics 1992, Vol 96, Iss 10, pp 7683-7695.

31. Atilgan C, Aviyente V Hybrid usage of computational tools in drug synthesis CURRENTCOMPUTER-AIDED DRUG DESIGN 3 (2): 149-159 JUN 2007

32. Auclair F, Casitas S and Marsaleix P Application of an inverse method to coastal modelingJ ATMOS OCEAN TECH 17 (10), pp. 1368-1391 OCT 2000

33. Auroux D, Blum J. Back and forth nudging algorithm for data assimilation problems ComptesRendus Mathematique, 2005,Vol 340 (12),pp 873-878

34. Auroux D, Blum J. A nudging-based data assimilation method: the Back and Forth Nudging(BFN) algorithm . NONLINEAR PROCESSES IN GEOPHYSICS Volume: 15 Issue: 2Pages: 305-319 (2008)

35. Auroux D., Several data assimilation methods for geophysical problems . Indian Journal ofPure & Applied Mathematics Vol 37 (1), 41-58 FEB 2006

36. Awrejcewiez J, Krysko AV Wavelet-based analysis of parametric vibrations of flexible plates.Int Appl Mech+ 39 (9): 997-1028 SEP 2003

37. Auroux D The back and forth nudging algorithm applied to a shallow water model, comparisonand hybridization with the 4D-VAR . INTERNATIONAL JOURNAL FOR NUMERICALMETHODS IN FLUIDS Volume: 61 Issue: 8 Pages: 911-929 Published: NOV 20 2009

38. Bagchi P Flow past a sphere with surface blowing and suction JOURNAL OF FLUIDSENGINEERING-TRANSACTIONS OF THE ASME 129 (12): 1547-1558 DEC 2007

39. Baik JJ and Chun HY, Effects of nonlinearity on the atmospheric flow response to low-levelheating in a uniform flow. Journal of the Atmospheric Sciences 1996, Vol 53, Iss 13, pp1856-1869.

40. Baik JJ, Response of a stably stratified atmosphere to low-level heating - an application tothe heat-isl and problem. Journal of Applied Meteorology 1992, Vol 31, Iss 3, pp 291-303.

41. Bannister RN A review of forecast error covariance statistics in atmospheric variational dataassimilation. I: Characteristics and measurements of forecast error covariances . QUAR-TERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY Volume: 134 Issue:637 Pages: 1951-1970 Part: Part B, OCT 2008

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42. Banse K and English DC, Geographical differences in seasonality of CZCS-derived phyto-plankton pigment in the Arabian Sea for 1978-1986. Deep-Sea Research Part II-TopicalStudies in Oceanography 2000, Vol 47, Iss 7-8, pp 1623-1677.

43. Bao JW and Kuo YH, On-off switches in the adjoint method - step functions. MonthlyWeather Review 1995, Vol 123, Iss 5, pp 1589-1594.

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45. Bartolacci DM and Luther ME, Patterns of co-variability between physical and biologicalparameters in the Arabian Sea. Deep-sea Research Part II-Topical Studies in Oceanography1999, Vol 46, Iss 8-9, pp 1933-1964.

46. Bashir O, Willcox K, Ghattas O, et al. Hessian-based model reduction for large-scale systemswith initial-condition inputs . INTERNATIONAL JOURNAL FOR NUMERICAL METH-ODS IN ENGINEERING Volume: 73 Issue: 6 Pages: 844-868 ,(2008)

47. Basu S, Subramanian V, Pandey PC, The variational technique of data assimilation usingadjoint equations in a shallow-water model. Proceedings of the Indian Academy of Sciences-Earth and Planetary Sciences 1993, Vol 102, Iss 4, pp 521-536.

48. Bates JR, An efficient semi-Lagrangian and alternating direction implicit method for inte-grating the shallow-water equations. Monthly Weather Review 1984, Vol 112, Iss 10, pp2033-2047.

49. Batista M, A cyclic block-tridiagonal solver. Advances in Engineering Software, 2006, Vol 37(2),pp 69-74

50. Baysal C, Meirovitch H and Navon IM, Performance of efficient minimization algorithms asapplied to models of peptides and proteins. Journal of Computational Chemistry 1999, Vol20, Iss 3, pp 354-364.

51. Baysal C, Meirovitch H Determination of the stable microstates of a peptide from NOEdistance constraints and optimization of atomic solvation parameters J AM CHEM SOC 120(4), pp 800-812 FEB 4 1998

52. Becache E, Petropoulos PG, Gedney SD On the long-time behavior of unsplit perfectlymatched layers IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION 52 (5):1335-1342 MAY 2004

53. Beckett G and Mackenzie JA, Uniformly convergent high order finite element solutions of asingularly perturbed reaction-diffusion equation using mesh equidistribution. Applied Nu-merical Mathematics 2001, Vol 39, Iss 1, pp 31-45.

54. Behera SK, Salvekar PS, Ganer DW and Deo AA, Interannual variability in simulated cir-culation along east coast of India. Indian Journal of Marine Sciences 1998, Vol 27, Iss 1, pp115-120.

55. Behrens J, Bader M Efficiency considerations in triangular adaptive mesh refinement PHILO-SOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYS-ICAL AND ENGINEERING SCIENCES Volume: 367 Issue: 1907 Pages: 4577-4589 Pub-lished: NOV 28 2009

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56. Belyaev KP, Clemente A. S. Tanajura and James J. O’Brien A data assimilation methodused with an ocean circulation model and its application to the tropical Atlantic. AppliedMathematical Modelling 2001, Vol 25, Iss 8, pp 655-670.

57. Belyaev KP, Solov’ev VN and Tanajura CAS, A method for the assimilation of oceanographicinformation in a coupled ocean-atmosphere model and its application for the analysis of oceanconditions in the tropical Atlantic. Oceanology+ , 2004 Vol 44 (1), pp 71-81

58. Benedetti A, Stephens GL and Vukicevic T, Variational assimilation of radar reflectivities ina cirrus model. I Model description and adjoint sensitivity studies. Quarterly Journal of theRoyal Meteorological Society 2003, Vol 129, Iss 587, pp 277-300.

59. Bergmann M, Cordier L and Brancher JP, Optimal rotary control of the cylinder wake usingproper orthogonal decomposition reduced-order model. Physics of Fluids , 2005, Vol 17 (9),Art. No. 097101 SEP 2005

60. Bergmann M, Cordier Li and Brancher JP On the generation of a reverse von Karman streetfor the controlled cylinder wake in the laminar regime. Physics of Fluids ,2006, Vol 18 (2),Art. No. 028101 FEB 2006

61. Bergmann M, Cordier L, Brancher JP On the power required to control the circular cylinderwake by rotary oscillations Physics of Fluids 18 (8): Art. No. 088103 AUG 2006

62. Bergmann M, Cordier L, Optimal control of the cylinder wake in the laminar regime bytrust-region methods and POD reduced-order models. JOURNAL OF COMPUTATIONALPHYSICS Volume: 227 Issue: 16 Pages: 7813-7840 Published: AUG 10 2008

63. Bermudez A, Hervella-Nieto L, Prieto A, et al. An optimal perfectly matched layer withunbounded absorbing function for time-harmonic acoustic scattering problems . Journal ofComputational Physics 223 (2): 469-488, MAY 1 2007

64. Bermudez A, Hervella-Nieto L, Prieto A, et al., An exact bounded perfectly matched layerfor time-harmonic scattering problems . SIAM JOURNAL ON SCIENTIFIC COMPUTINGVolume: 30 Issue: 1 Pages: 312-338 . (2008)

65. Bewley TR, Protas B Skin friction and pressure: the ”footprints” of turbulence PHYSICAD-NONLINEAR PHENOMENA 196 (1-2): 28-44 SEP 1 2004

66. Bhargava A and Bouis H, Maximum-likelihood-estimation of between and within variationsin energy and protein intakes from infancy to adolescence for the Philippines. Statistics inMedicine 1992, Vol 11, Iss 4, pp 533-545.

67. Bhargava A, Malnutrition and the role of individual variation with evidence from India andthe Philippines. Journal of the Royal Statistical Society Series A-Statistics in Society 1992,Vol 155, pp 221-231.

68. Bischot CH, Bucker HM, Rasch A, et al. Automatic differentiation of the general-purposecomputational fluid dynamics package FLUENT Journal of Fluids Engineering-Transactionsof the ASME 129 (5): 652-658 MAY 2007

69. Blain CA and Massey TC, Application of a coupled discontinuous-continuous Galerkin finiteelement shallow water model to coastal ocean dynamics . Ocean Modelling, 2005,Vol 10 (3-4),pp 283-315

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70. Blayo E, Debreu L Revisiting open boundary conditions from the point of view of character-istic variables Ocean Modelling, 2005, Vol 9 (3),pp 231-252

71. Bourassa MA, Zamudio L and O’Brien JJ, Noninertial flow in NSCAT observations of Tehuan-tepec winds. Journal of Geophysical Research-Oceans 1999, Vol 104, Iss C5, pp 11311-11319.

72. Bourassa MA, Romero R, Smith SR, et al. A new FSU winds climatology. Journal of Climate,2005, Vol 18 (17),pp 3686-3698

73. Bourchtein A, Semi-Lagrangian semi-implicit space splitting regional baroclinic atmosphericmodel. Applied Numerical Mathematics 2002, Vol 40, Iss 1-2, pp 307-326.

74. Bourchtein A Semi-lagrangian semi-implicit fully splitted hydrostatic atmospheric model.Lect Notes Comput Sci 2657 , pp. 25-34 2003

75. Bourchtein A Ellipticity conditions of the shallow water balance equations for atmosphericdata . Journal of the Atmospheric Sciences,2006,Vol 63 (5),pp 1559-1566

76. Boyd JP, Deleted residuals, the QR-factored Newton iteration, and other methods for formallyoverdetermined determinate discretizations of nonlinear eigenproblems for solitary, cnoidal,and shock waves. Journal of Computational Physics 2002, Vol 179, Iss 1, pp 216-231.

77. Brasil WM, Su JA, Freire APS, An inverse problem for the estimation of upstream velocityprofiles in an incompressible turbulent boundary layer Int J Heat Mass Tran 2004 Vol. 47(6-7),pp 1267-1274

78. Brock JC and McClain CR, Interannual variability in phytoplankton blooms OBSERVEDIN THE Northwestern Arabian sea during the southwest monsoon. Journal of GeophysicalResearch-Oceans 1992, Vol 97, Iss C1, pp 733-750.

79. Brock JC, McClain CR, Luther ME and Hay WW, The phytoplankton bloom in the north-western Arabian sea during the southwest monsoon of 1979 . Journal of Geophysical Research-Oceans 1991, Vol 96, Iss C11, pp 20623-20642.

80. Breidenbach J, EOFs of pseudostress over the Indian-ocean (1977-85). Bulletin of the Amer-ican Meteorological Society 1990, Vol 71, Iss 10, pp 1448-1454.

81. Bruneau CH, Mortazavi L, Control of vortex shedding around a pipe section using a poroussheath International Journal of Offshore and Polar Engineering 16 (2),pp 90-96 JUN 2006

82. Buendia GM, Mitchell SJ and Rikvold PA, Surface scaling analysis of a frustrated spring-network model for surfactant-templated hydrogels. Physical Review E 2002, Vol 66, Iss 4,art. no. 046119.

83. Burkhardt JP, Lupo AR, The planetary- and synoptic-scale interactions in a Southeast Pacificblocking episode using PV diagnostics . Journal of the Atmospheric Sciences ,2005, Vol 62(6),pp 1901-1916

84. Buzzi A, Davolio S, D’Isidoro M, et al. The impact of resolution and of MAP reanalysis on thesimulations of heavy precipitation during MAP cases METEOROLOGISCHE ZEITSCHRIFT13 (2): 91-97 2004

85. Calvo F, Yurtsever E Composition-induced structural transitions in mixed rare-gas clustersPHYSICAL REVIEW B 70 (4): Art. No. 045423 JUL 2004

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86. Calvo F, Bogdan TV, de Souza VK, et al. Equilibrium density of states and thermodynamicproperties of a model glass former. Journal of Chemical Physics 127 (4): Art. No. 044508JUL 28 2007

87. Calvo F,Solid-solution precursor to melting in onion-ring Pd-Pt nanoclusters: a case of second-order-like phase change? FARADAY DISCUSSIONS Volume: 138 , 75-88 (2008)

88. Can XQ, Huang SX, Du HD, The new method of modeling horizontal error functions invariational assimilation with orthogonal wavelet . ACTA PHYSICA SINICA Volume: 57Issue: 3 Pages: 1984-1989 (2008)

89. Canto EB, Banga JR, Alonso AA and Vassiliadis VS, Restricted second order informationfor the solution of optimal control problems using control vector parameterization. Journalof Process Control 2002, Vol 12, Iss 2, pp 243-255.

90. Cardoso MA, Durlofsky LJ, Sarma P. Development and application of reduced-order modelingprocedures for subsurface flow simulation . INTERNATIONAL JOURNAL FOR NUMERI-CAL METHODS IN ENGINEERING Volume: 77 Issue: 9 Pages: 1322-1350 Published: FEB26 2009

91. Carrassi A, Vannitsem S, Zupanski D, et al. The maximum likelihood ensemble filter per-formances in chaotic systems . TELLUS SERIES A-DYNAMIC METEOROLOGY ANDOCEANOGRAPHY Volume: 61 Issue: 5 Pages: 587-600 Published: OCT 2009

92. Carrio GG, Cotton WR, Zupanski D, et al. Development of an Aerosol Retrieval Method:Description and Preliminary Tests. JOURNAL OF APPLIED METEOROLOGY AND CLI-MATOLOGY Volume: 47 Issue: 11 Pages: 2760-2776, NOV 2008

93. Carmichael GR, Sandu A and Potra FA, Sensitivity analysis for atmospheric chemistry modelsvia automatic differentiation. Atmospheric Environment 1997, Vol 31, Iss 3, pp 475-489.

94. Carmichael GR, Sandu A, Chai T, et al. Predicting air quality: Improvements through ad-vanced methods to integrate models and measurements . JOURNAL OF COMPUTATIONALPHYSICS Vol 227 Issue: 7 Pp: 3540-3571 ( 2008)

95. Carrier MJ, Zou X, Lapenta WM, Comparing the vertical structures of weighting functionsand adjoint sensitivity of radiance and verifying mesoscale forecasts using AIRS radianceobservations. MONTHLY WEATHER REVIEW Vol 136 Issue: 4 pp 1327-1348 , APR 2008

96. Carrington DJ and Anderson DLT, Using an ocean model to validate ECMWF heat fluxes.Quarterly Journal of the Royal Meteorological Society 1993, Vol 119, iss 513, pp 1003-1021.

97. Castaings W and Navon IM, Mesh refinement strategies for solving singularly perturbedreaction-diffusion problems. Computers & Mathematics with Applications 2001, Vol 41, Iss1-2, pp 157-176.

98. Castaings W, Dartus D, Le Dimet FX, et al. Sensitivity analysis and parameter estimation fordistributed hydrological modeling: potential of variational methods . Hydrology and EarthSystem Sciences, Volume: 13 Issue: 4 Pages: 503-517, 2009

99. Cecchi MM, Pica A and Secco E, A projection method for shallow water equations. Interna-tional Journal for Numerical Methods in Fluids 1998, Vol 27, pp 81-+.

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100. Cecchi MM and Salasnich L, Shallow water theory and its application to the Venice lagoon.Computer Methods in Applied Mechanics and Engineering 1998, Vol 151, Iss 1-2, pp 63-74.

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103. Chai TF, Lin CL Estimation of turbulent viscosity and diffusivity in adjoint recovery ofatmospheric boundary layer flow structures MULTISCALE MODELING & SIMULATION 1(2): 196-220 2003

104. Chakraborty A, Krishnamurti TN Improved seasonal climate forecasts of the south Asiansummer monsoon using a suite of 13 coupled ocean-atmosphere models. Monthly WeatherReview, vol 134 (6),pp 1697-1721 JUN 2006

105. Chakraborty A, Krishnamurti TN, Gnanaseelan C Prediction of the diurnal cycle using amultimodel superensemble. Part II: Clouds Monthly Weather Review 135 (12): 4097-4116DEC 2007

106. Chakraborty A, Krishnamurti TN, Improved forecasts of the diurnal cycle in the tropicsusing multiple global models. Part II: Asian summer monsoon . JOURNAL OF CLIMATEVolume: 21 Issue: 16 Pages: 4045-4067 Published: AUG 2008

107. Krishnamurti TN, Gnanaseelan C, Mishra AK, et al., Improved forecasts of the diurnal cyclein the tropics using multiple global models. Part I: Precipitation . JOURNAL OF CLIMATEVolume: 21 Issue: 16 Pages: 4029-4043 Published: AUG 2008

108. Chao WC and Chang LP, Development of a 4-dimensional variational analysis system usingthe adjoint method at GLA .1. Dynamics. Monthly Weather Review 1992, Vol 120, Iss 8, pp1661-1673.

109. Chao Y, DiGiacomo PM Development of an ocean forecasting system off the west coast ofthe United States: Sea level applications. Marine Technology Society Journal 41 (1), 84-93,SPR 2007

110. Chao Y, Li ZJ, Farrara J, et al. Development, implementation and evaluation of a data-assimilative ocean forecasting system off the central California coast . DEEP-SEA RE-SEARCH PART II-TOPICAL STUDIES IN OCEANOGRAPHY Volume: 56 Issue: 3-5Pages: 100-126 Published: FEB 2009

111. Charpentier I, The MesODiF package for gradient computations with the atmospheric modelMeso-NH. Environmental Modelling & Software 2000, Vol 15, pp 533-538.

112. Chen SH The impact of assimilating SSM/I and QuikSCAT satellite winds on HurricaneIsidore simulations. Monthly Weather Review 135 (2), 549-566 FEB 2007

113. Cheng RT, Casulli V and Gartner JW, Tidal, residual, intertidal mudflat (trim) model andits applications to San-Francisco Bay, California. Estuarine Coastal and Shelf Science 1993,Vol 36, Iss 3, pp 235-280.

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114. Cheng WC, Kendall DR, Putti M, et al. A nudging data assimilation algorithm for theidentification of groundwater pumping . WATER RESOURCES RESEARCH Volume: 45Article Number: W08434 Published: AUG 26 2009

115. Chertok DL and Lardner RW, Variational data assimilation for a nonlinear hydraulic model.Applied Mathematical Modelling 1996, Vol 20, Iss 9, pp 675-682.

116. Choi H, Jeon WP, Kim J, Control of flow over a bluff body . Annual Review of FluidMechanics ,Vol 40, Pages: 113-139 , 2008

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118. Chu PC and Fan CW, A three-point sixth-order staggered combined compact differencescheme. Mathematical and Computer Modelling 2000, Vol 32, Iss 3-4, pp 323-340.

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122. Chun HY, Choi HJ, Song IS,Effects of nonlinearity on convectively forced internal gravitywaves: Application to a gravity wave drag parameterization . JOURNAL OF THE ATMO-SPHERIC SCIENCES Volume: 65 Issue: 2 , 557-575. (2008)

123. Cintron-Arias A, Banks HT, Capaldi A, et al. A sensitivity matrix based methodology forinverse problem formulation . JOURNAL OF INVERSE AND ILL-POSED PROBLEMSVolume: 17 Issue: 6 Pages: 545-564 Published: AUG 2009

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129. Cohen K, Siegel S and McLaughlin T., A heuristic approach to effective sensor placement formodeling of a cylinder wake. ComputerS & Fluids,2006, Vol 35 (1), 103-120

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132. Copeland GJM and Bayne GLS, Tidal flow modelling using a direct minimisation method.Coastal Engineering 1998, Vol 34, Iss 1-2, pp 129-161.

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135. Cohn SE, Dynamics of short-term univariate forecast error covariances. Monthly WeatherReview 1993, Vol 121, Iss 11, pp 3123-3149.

136. Collis Scott S, Ghayour Kand Heinkenschloss M Optimal transpiration boundary control foraeroacoustics. AIAA J 2003, Vol. 41 (7), pp. 1257-1270 .

137. Cottet GH, Poncet P Simulation and control of three-dimensional wakes Comput Fluids 2004,Vol. 33 (5-6), pp 697-713

138. Courtier P, Dual formulation of four-dimensional variational assimilation. Quarterly Journalof the Royal Meteorological Society 1997, Vol 123, Iss 544, pp 2449-2461.

139. Courtier P, Thepaut JN and Hollingsworth A, A strategy for operational implementationof 4d-var, using an incremental approach . Quarterly Journal of the Royal MeteorologicalSociety 1994, Vol 120, Iss 519, pp 1367-1387.

140. Dabberdt WF, Carroll MA, Baumgardner D, et al. Meteorological research needs for improvedair quality forecasting - Report of the 11th prospectus development team of the US WeatherResearch Program BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY 85(4): 563+ APR 2004

141. Daescu DN and Carmichael GR, An adjoint sensitivity method for the adaptive location ofthe observations in air quality modeling. Journal of the Atmospheric Sciences 2003, Vol 60,Iss 2, pp 434-450.

142. Daescu D, Carmichael GR and Sandu A, Adjoint implementation of Rosenbrock methodsapplied to variational data assimilation problems. Journal of Computational Physics 2000,Vol 165, Iss 2, pp 496-510.

143. Daescu DN, Navon IM Adaptive observations in the context of 4D-Var data assimilationMETEOROLOGY AND ATMOSPHERIC PHYSICS 85 (4): 205-226 FEB 2004

144. Daescu DN On the sensitivity equations of four-dimensional variational (4D-Var) data assimi-lation . MONTHLY WEATHER REVIEW Volume: 136 Issue: 8 Pages: 3050-3065 Published:AUG 2008

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145. Daescu DN, Todling R, Adjoint Estimation of the Variation in Model Functional Output dueto the Assimilation of Data . MONTHLY WEATHER REVIEW Volume: 137 Issue: 5 Pages:1705-1716 Published: MAY 2009

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147. Daescu DN, Sandu A, Carmichael GR, Direct and adjoint sensitivity analysis of chemicalkinetic systems with KPP: II - Numerical validation and applications Atmos Environ 2003,37 (36), pp 5097-5114

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