An estimate of some analysis-error statistics using the Global Modeling and Assimilation Office observing-system simulation framework

Quarterly Journal of the Royal Meteorological Society

Volumn 140, Issue 680, 2014, Pages 1005-1012

  Errico, Ronald M ^a,b   Privé, Nikki C ^a,b  

^a MORGAN STATE UNIVERSITY   (United States)

^b NASA HEADQUARTERS   (United States)

Author keywords

Analysis error; Atmospheric analysis; Data assimilation; OSSE

Indexed keywords

ERRORS; NASA; SPECTRUM ANALYSIS; TROPOSPHERE;

ATMOSPHERIC ANALYSIS; CORRELATION LENGTHS; DATA ASSIMILATION; OBSERVATION DATA SET; OSSE; SIMULATION FRAMEWORK; SPHERICAL HARMONICS; VERTICAL DIRECTION;

ERROR STATISTICS;

ATMOSPHERIC MODELING; CORRELATION; DATA ASSIMILATION; ERROR ANALYSIS; ESTIMATION METHOD; KALMAN FILTER; OBSERVATIONAL METHOD; SPECTRAL ANALYSIS; TROPOSPHERE; WEATHER FORECASTING;

EID: 84899472136     PISSN: 00359009     EISSN: 1477870X     Source Type: Journal    
DOI: 10.1002/qj.2180     Document Type: Article

References (11)

1. Bloom S, Takacs L, DaSilva A, Ledvina D. 1996. Data assimilation using incremental analysis updates. Mon. Weather Rev. 124: 1256-1271.
2. Daley R. 1985. The analysis of synoptic scale divergence by a statistical interpolation procedure. Mon. Weather Rev. 113: 1066-1079.
3. Daley R, Menard R. 1993. Spectral characteristics of Kalman filter systems for atmospheric data assimilation. Mon. Weather Rev. 121: 1554-1565.
4. Ehrendorfer M, Errico RM. 1995. Mesoscale predictability and the spectrum of optimal perturbations. J. Atmos. Sci. 52: 2475-3500.
5. Errico RM, Ehrendorfer M, Raeder KD. 2001. The spectra of singular values in a regional model. Tellus. 53A: 317-332.
6. Errico RM, Yang R, Masutani M, Woollen J. 2007. Estimation of some characteristics of analysis error inferred from an observing system simulation experiment. Mereorol. Z. 16: 695-708.
7. Errico RM, Yang R, Privé NC, Tai KS, Todling R, Sienkiewicz ME, Guo J. 2013. Development and validation of observing system simulation experiments at NASA's Global Modeling and Assimilation Office. Q. J. R. Meteorol. Soc. DOI: 10.1002/qj.2027.
8. Gelaro R, Zhu Y. 2009. Examination of observation impacts derived from observing system experiments (OSEs) and adjoint models. Tellus 61A: 179-193.
9. Hortal M, Simmons AJ. 1991. Use of reduced Gaussian grids in spectral models. Mon. Weather Rev. 119: 1057-1074.
10. Jazwinsji AH. 1970. Stochastic Processes and Filtering Theory. Academic Press: New York; 376pp.
11. Privé NC, Errico RM, Tai KS. 2013. Validation and forecast skill of the Global Modeling and Assimilation Office observing system simulation experiment. Q. J. R. Meteorol. Soc. DOI: 10.1002/qj.2029.