662
Views
17
CrossRef citations to date
0
Altmetric
Data assimilation and predictability

Using AIRS retrievals in the WRF-LETKF system to improve regional numerical weather prediction

&
Article: 18408 | Received 24 Mar 2012, Published online: 24 Sep 2012

References

  • Aberson S. D. Targeted observations to improve operational tropical cyclone track forecast guidance. Mon. Wea. Rev. 2003; 131: 1613–1628. 10.3402/tellusa.v64i0.18408.
  • Anderson J. L. An adaptive covariance inflation error correction algorithm for ensemble filters. Tellus. 2007; 59A: 210–224.
  • Anderson J. L. Spatially and temporally varying adaptive covariance inflation for ensemble filters. Tellus. 2009; 61A: 72–83.
  • Anderson J. L. Anderson S. L. A Monte Carlo implementation of the nonlinear filtering problem to produce ensemble assimilations and forecasts. Mon. Wea. Rev. 1999; 127: 2741–2758.
  • Aumann, H. H, Chahine, M. T, Cautier, C, Goldberg, M. D, Kalnay, E and co-authors. 2003. AIRS on the Aqua mission: Design, science objectives, data products, and processing systems. IEEE Trans. Geosci. Remote Sens. 41, 253–264. 10.3402/tellusa.v64i0.18408.
  • Daley R. Estimating model-error covariances for application to atmospheric data assimilation. Mon. Wea. Rev. 1992; 120: 1735–1746.
  • Desroziers G. Berre L. Chapnik B. Poli P. Diagnosis of observation, background and analysis-error statistics in observation space. Quart. J. Roy. Meteor. Soc. 2005; 131: 3385–3396. 10.3402/tellusa.v64i0.18408.
  • Fourrié N. Thépaut J.-N. Evaluation of the AIRS near-real-time channel selection for application to numerical weather prediction. Quart. J. Roy. Meteor. Soc. 2003; 129: 2425–2439. 10.3402/tellusa.v64i0.18408.
  • Hunt B. R. Kostelich E. J. Szunyogh I. Efficient data assimilation for spatiotemporal chaos: a local ensemble transform Kalman filter. Physica. D. 2007; 230: 112–126. 10.3402/tellusa.v64i0.18408.
  • Japan Meteorological Agency. 2008. Annual Report on the Activities of the RSMC Tokyo – Typhoon Center (2008). 80. Online at: http://www.jma.go.jp/jma/jma-eng/jma-center/rsmc-hp-pub-eg/AnnualReport/2008/Text/Text2008.pdf.
  • Kang, J.-S, Kalnay, E, Miyoshi, T, Liu, J and Fung, I. (personal communication) Estimation of surface carbon fluxes with an advanced data assimilation methodology. In preparation.
  • Keyser, D. 2010. PREPBUFR Processing at NCEP. Online at: http://www.emc.ncep.noaa.gov/mmb/data_processing/prepbufr.doc/document.htm.
  • Kunii, M, Miyoshi, T and Kalnay, E. 2012. Estimating impact of real observations in regional numerical weather prediction using an ensemble Kalman filter. Mon. Wea. Rev. 140, 1975–1987. DOI:10.3402/tellusa.v64i0.18408.
  • Le Marshall, J, Jung, J, Derber, J, Chahine, M, Treadon, R and co-authors. 2006. Improving global analysis and forecasting with AIRS. Bull. Amer. Meteor. Soc. 87, 891–894. 10.3402/tellusa.v64i0.18408.
  • Li H. Kalnay E. Miyoshi T. Simultaneous estimation of covariance inflation and observation errors within an ensemble Kalman filter. Quart. J. Roy. Meteor. Soc. 2009; 135: 523–533. 10.3402/tellusa.v64i0.18408.
  • Lorenc A. C. A global three dimensional multivariate statistical interpolation scheme. Mon. Wea. Rev. 1981; 109: 701–721.
  • McNally, A. P, Watts, P. D, Smith, J. A, Engelen, R, Kelly, G. A and co-authors. 2006. The assimilation of AIRS radiance data at ECMWF. Quart. J. Roy. Meteor. Soc. 132, 935–957. 10.3402/tellusa.v64i0.18408.
  • Miyoshi, T. 2011. The Gaussian approach to adaptive covariance inflation and its implementation with the local ensemble transform Kalman filter. Mon. Wea. Rev. 139, 1519–1535. DOI:10.3402/tellusa.v64i0.18408.
  • Miyoshi, T and Kunii, M. 2012. The local ensemble transform Kalman filter with the Weather Research and Forecasting model: experiments with real observations. Pure and Appl. Geophys. 169, 321–333. DOI:10.3402/tellusa.v64i0.18408.
  • Miyoshi, T, Kalnay, E and Li, H. 2012. Estimating and including observation error correlations in data assimilation. Inverse Problems in Science and Engineering. OI:10.3402/tellusa.v64i0.18408.
  • Ochotta, T, Gebhardt, C, Saupe, D and Wergen, W. 2005. Adaptive thinning of atmospheric observations in data assimilation with vector quantisation and filtering methods. Quart. J. Roy. Meteor. Soc. 131, 3427–3437. DOI:10.3402/tellusa.v64i0.18408.
  • Reale, O, Susskind, J, Rosenberg, R, Brin E, Liu E and co-authors. 2008. Improving forecast skill by assimilation of quality-controlled AIRS temperature retrievals under partially cloudy conditions. 35, L08809.10.3402/tellusa.v64i0.18408.
  • Reale, O, Lau, W. K, Susskind, J, Brin E, Liu E and co-authors. 2009. AIRS impact on the analysis and forecast track of tropical cyclone Nargis in a global data assimilation and forecast system. Geophys. Res. Lett. 36, L06812.10.3402/tellusa.v64i0.18408.
  • Rodgers, C. D. 2000. Inverse Methods for Atmospheric Sounding: Theory and Practice. World Scientific, Singapore. pp. 256.
  • Skamarock, W. C, Klemp, J. B, Dudhia, J, Gill, D. O, Barker, D. M and co-authors. 2005. A Description of the Advanced Research WRF Version 2. NCAR Tech. Note TN-468+STR, 88. pp.
  • Susskind, J. 2007. Improved atmospheric sounding and error estimates from analysis of AIRS/AMSU data. 6684, 66840M. DOI:10.3402/tellusa.v64i0.18408.
  • Susskind, J. 2011. Improved temperature sounding and quality control methodology using AIRS/AMSU Data: The AIRS Science Team Version 5 retrieval algorithm. Proc. SPIE. 49, 883–907. DOI:10.3402/tellusa.v64i0.18408.
  • Susskind J. Barnet C. Blaisdell J. M. Retrieval of atmospheric and surface parameters from AIRS/AMSU/HSB data in the presence of clouds. IEEE Trans. Geosci. Remote Sens. 2003; 41: 390–409. 10.3402/tellusa.v64i0.18408.
  • Susskind, J, Barnet, C, Blaisdell, J, Iredell, L, Keita, F and co-authors. 2006. Accuracy of geophysical parameters derived from Atmospheric Infrared Sounder/Advanced Microwave Sounding Unit as a function of fractional cloud cover. IEEE Trans. Geosci. Remote Sens. 111. D09S017.10.3402/tellusa.v64i0.18408.
  • Weissmann, M, Harnisch, F, Wu, C. C, Lin, P. H, Ohta, Y and co-authors. 2011. The influence of assimilating dropsonde data on typhoon track and mid-latitude forecasts. J. Geophys. Res. 139, 908–920. 10.3402/tellusa.v64i0.18408.
  • Wu, L, Braun, S. A, Qu, J. J and Hao, X. 2006. Simulating the formation of Hurricane Isabel (2003) with AIRS data. Mon. Wea. Rev. 33, L04804.10.3402/tellusa.v64i0.18408.