Importance of forecast error multivariate correlations in idealized assimilations of GPS radio occultation data with the Ensemble Adjustment Filter

Monthly Weather Review

Volumn 135, Issue 1, 2007, Pages 173-185

  Liu, Hui ^a   Anderson, Jeffrey L ^a   Kuo, Ying Hwa ^a,b   Raeder, Kevin ^a  

^a NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

^b UNIVERSITY OF COLORADO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ATMOSPHERIC HUMIDITY; ATMOSPHERIC PRESSURE; ATMOSPHERIC TEMPERATURE; GLOBAL POSITIONING SYSTEM; REFRACTIVE INDEX; TROPOSPHERE;

ENSEMBLE ADJUSTMENT FILTER; FORECAST ERROR MULTIVARIATE CORRELATIONS; RADIO OCCULTATION;

WEATHER FORECASTING;

AIR TEMPERATURE; CORRELATION; DATA ASSIMILATION; ENSEMBLE FORECASTING; GPS; KALMAN FILTER; MULTIVARIATE ANALYSIS; RELATIVE HUMIDITY; SURFACE PRESSURE; TROPOSPHERE;

EID: 33846692390     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/MWR3270.1     Document Type: Article

References (19)

1. Anderson, J. L., 2001: An ensemble adjustment Kalman filter for data assimilation. Mon. Wea. Rev., 129, 2884-2903.
2. Anderson, J. L., 2003: A local least squares framework for ensemble filtering. Mon. Wea. Rev., 131, 634-642.
3. Berre, M. L., 2001: Representation of forecast error spatial covariances for a variational assimilation in an atmospheric limited area model. Ph.D. thesis, University of Toulouse, Toulouse, France, 250 pp.
4. Gaspari, G., and S. E. Cohn, 1999: Construction of correlation function in two and three dimensions. Quart. J. Roy. Meteor. Soc., 125, 723-757.
5. Hack, J. J., 1994: Parameterization of moist convection in the National Center for Atmospheric Research Community Climate Model (CCM2). J. Geophys. Res., 99, 5551-5568.
6. Healy, S. B., and J.-N. Thepaut, 2006: Assimilation experiments with CHAMP GPS radio occultation measurements. Quart. J. Roy. Meteor. Soc., 132, 605-623.
7. Healy, S. B., A. M. Jupp, and C. Marquardt, 2005: Forecast impact experiment with GPS radio occultation measurements. Geophys. Res. Lett., 32, L03804, doi:10.1029/2004GL020806.
8. Houtekamer, P. L., H. L. Mitchell, G. Pellerin, M. Buehner, M. Charron, L. Spacek, and B. Hansen, 2005: Atmospheric data assimilation with an ensemble Kalman filter: Results with real observations. Mon. Wea. Rev., 133, 604-620.
9. Jazwinski, A. H., 1970: Stochastic Processes and Filtering Theory. Academic Press, 376 pp.
10. Kuo, Y.-H., X. Zou, and W. Huang, 1997: The impact of GPS data on the prediction of an extra-tropical cyclone: An observing system simulation experiment. Dyn. Atmos. Oceans, 27, 439-470.
11. Kuo, Y.-H., T.-K. Wee, S. Sokolovskiy, C. Rocken, W. Schreiner, D. Hunt, and R. A. Anthes, 2004: Inversion and error estimation of GPS radio occultation data. J. Meteor. Soc. Japan, 82, 507-531.
12. Kursinski, E. R., G. A. Hajj, K. R. Hardy, J. T. Shofield, and R. Linfied, 1997: Observing Earth's atmosphere with radio occultation measurements using the Global Positioning System. J. Geophys. Res., 102, 23 429-23 465.
13. Liu, H., X. Zou, H. Shao, R. Anthes, J. Chang, J. Tseng, and B. Wang, 2001: Impact of 837 GPS/MET bending angle profiles on assimilation and forecasts for the period June 20-30, 1995. J. Geophys. Res., 106, 31 771-31 786.
14. Lord, S. J., E. Kalnay, R. Daley, G. D. Emmitt, and R. Atlas, 1997: Using OSSEs in the design of the future generation of integrated observing systems, Preprints, First Symp. on Integrated Observing Systems, Long Beach, CA, Amer. Meteor. Soc., 45-47.
15. Snyder, C., and F. Zhang, 2003: Assimilation of simulated Doppler radar observations with an ensemble Kalman filter. Mon. Wea. Rev., 131, 1663-1677.
16. Ware, R. H., and Coauthors, 1996: GPS sounding of the atmosphere from low Earth orbit: Preliminary results. Bull. Amer. Meteor. Soc., 77,19-40.
17. Williamson, D. L., and Coauthors, 2005: Moisture and temperature balances at the Atmospheric Radiation Measurement Southern Great Plains Site in forecasts with the Community Atmosphere Model (CAM2). J. Geophys. Res., 110, D15S16, doi:10.1029/2004JD005109.
18. Zhang, G. J., and N. A. McFarlane, 1995: Sensitivity of climate simulations to the parameterization of cumulus convection in the Canadian Climate Centre general circulation model. Atmos.-Ocean, 33, 407-446.
19. Zou, X., H. Liu, R. A. Anthes, H. Shao, J. C. Chang, and Y. J. Zhu, 2004: Impact of CRAMP radio occultation observation on global analyses and forecasts in the absence of AMSU radiance data. J. Meteor. Soc. Japan, 82, 533-549.