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Data assimilation and predictability

An adjoint sensitivity-based data assimilation method and its comparison with existing variational methods

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Article: 21584 | Received 29 May 2013, Accepted 19 Nov 2013, Published online: 09 Jan 2014

References

  • Astling E. G , Paegle J , Miller E , O'Brien C. J . Boundary layer control of nocturnal convection associated with a synoptic-scale system. Mon. Wea. Rev. 1985; 113: 540–552.
  • Barker D , Huang X.-Y , Liu Z , Auligne T , Zhang X , co-authors . The Weather Research and Forecasting (WRF) model's community variational/ensemble data assimilation system: WRFDA. Bull. Am. Meteorol. Soc. 2012; 93: 831–843.
  • Bjerknes V . Das Problem der Wettervorhersage, betrachtet vom Standpunkt der Mechanik und der Physik. Meteorol. Z. 1904; 21: 1–7.
  • Chen T.-C , Kpaeyeh J. A . The synoptic-scale environment associated with the low-level jet of the great plains. Mon. Wea. Rev. 1993; 121: 416–420.
  • Dudhia J . Numerical study of convection observed during the winter monsoon experiment using a mesoscale two-dimensional model. J. Atmos. Sci. 1989; 46: 3077–3107.
  • Gauthier P , Tanguay M , Laroche S , Pellerin S . Extension of 3DVAR to 4DVAR: implementation of 4DVAR at the Meteorological Service of Canada. Mon. Wea. Rev. 2007; 135: 2339–2364.
  • Gauthier P , Thépaut J.-N . Impact of the digital filter as a weak constraint in the preoperational 4DVAR assimilation system of Météo France. Mon. Wea. Rev. 2001; 129: 2089–2102.
  • Hello G , Lalaurette F , Thépaut J.-N . Combined use of sensitivity information and observations to improve meteorological forecasts: a feasibility study applied to the ‘Christmas storm’ case. Q. J. Roy. Meteorol. Soc. 2000; 126: 621–647.
  • Honda Y , Nishijima M , Koizumi K , Ohta Y , Tamiya K , co-authors . A pre-operational variational data assimilation system for a non-hydrostatic model at the Japan Meteorological Agency: formulation and preliminary results. Q. J. Roy. Meteorol. Soc. 2005; 131: 3465–3475.
  • Hong S.-Y , Lim J.-O . The WRF single-moment 6-class microphysics scheme (WSM6). J. Kor. Meteorol. Soc. 2006; 42: 129–151.
  • Hong S.-Y , Noh Y , Dudhia J . A new vertical diffusion package with an explicit treatment of entrainment processes. Mon. Wea. Rev. 2006; 134: 2318–2341.
  • Huang X.-Y . A generalization of using an adjoint model in intermittent data assimilation system. Mon. Wea. Rev. 1999; 127: 766–787.
  • Huang X.-Y , Gustafsson N , Källén E. R . Using an adjoint model to improve an optimum interpolation-based data-assimilation system. Tellus A. 1997; 49: 161–176.
  • Huang X.-Y , Yang X , Gustafsson N , Mogensen K , Lindskog M . Four-Dimensional Variational Data Assimilation for a Limited Area Model. 2002; HIRLAM Tech Rep 57, Available from SMHI, S-601 76 Norrkoping: Sweden. 41.
  • Jiang X , Lau N.-C , Held I. M , Ploshay J. J . Mechanisms of the great plain low-level jet as simulated in an AGCM. J. Atmos. Sci. 2007; 64: 532–547.
  • Kain J. S . The Kain-Fritsch convective parameterization: an update. J. Appl. Meteorol. 2004; 43: 170–181.
  • Le Dimet F , Talagrand O . Variational algorithms for analysis and assimilation of meteorological observations: theoretical aspects. Tellus A. 1986; 38: 97–110.
  • Lewis J , Derber J . The use of adjoint equations to solve a variational adjustment problem with advective constraints. Tellus A. 1985; 37: 309–327.
  • McCorcle M. D . Simulation of surface-moisture effects on the Great Plain low-level jet. Mon. Wea. Rev. 1988; 116: 1705–1720.
  • Miller L. J , Mohr C. G , Weinheimer A. J . The simple rectification to Cartesian space of folded radial velocities from Doppler radar sampling. J. Atmos. Ocean. Technol. 1986; 3: 162–174.
  • Mlawer E. J , Taubman S. J , Brown P. D , Iacono M. J , Clough S. A . Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave. J. Geophys. Res. 1997; 102: 16663–16682.
  • Mohr C. G , Vaughan R. L . An economical procedure for Cartesian interpolation and display of reflectivity data in three dimensional space. J. Appl. Meteorol. 1979; 18: 661–670.
  • Mohr C. G , Vaughan R. L , Frank H. W . The merger of mesoscale datasets into a common Cartesian format for efficient and systematic analyses. J. Atmos. Ocean. Technol. 1986; 3: 144–161.
  • Park S.-G , Lee D.-K . Retrieval of high-resolution wind fields over the Southern Korean Peninsula using the Doppler weather radar network. Wea. Forecast. 2009; 24: 87–103.
  • Parrish D. F , Derber J . The National Meteorological Center's spectral statistical-interpolation analysis system. Mon. Wea. Rev. 1992; 120: 1747–1763.
  • Rabier F , Järvinen H , Klinker E , Mahfouf J.-F , Simmons A . The ECMWF operational implementation of four-dimensional variational assimilation. Experimental results with simplified physics. Q. J. Roy. Meteorol. Soc. 2000; 126: 1143–1170.
  • Rabier F , Klinker E , Courtier P , Hollingsworth A . Sensitivity of forecast errors to initial conditions. Q. J. Roy. Meteorol. Soc. 1996; 122: 121–150.
  • Rawlins F , Ballard S. P , Bovis K. J , Clayton A. M , Li D , co-authors . The Met Office global 4-dimensional data assimilation system. Q. J. Roy. Meteorol. Soc. 2007; 133: 347–362.
  • Skamarock W. C , Klemp J. B , Dudhia J , Gill D. O , Barker D. M , co-authors . A Description of the Advanced Research WRF Version 3. 2008; NCAR Tech. Note TN-475+STR. 113.
  • Schumacher R. S , Johnson R. H . Organization and environmental properties of extreme-rain-producing mesoscale convective systems. Mon. Wea. Rev. 2005; 133: 961–976.
  • Schumacher R. S , Johnson R. H . Mesoscale processes contributing to extreme rainfall in a midlatitude warm-season flash flood. Mon. Wea. Rev. 2008; 136: 3964–3986.
  • Schumacher R. S , Johnson R. H . Quasi-stationary, extreme-rain-producing convective systems associated with midlevel cyclonic circulation. Wea. Forecast. 2009; 24: 555–574.
  • Talagrand O . Assimilation of observations, an introduction. J. Met. Soc. Jpn. 1997; 75: 191–209.
  • Tanguay M , Fillion L , Lapalme E , Lajoie M . Four-dimensional variational data assimilation for the Canadian regional deterministic prediction system. Mon. Wea. Rev. 2012; 140: 1517–1538.
  • Xiao Q , Kuo Y.-H , Sun J , Lee W.-C , Lim E , co-authors . Assimilation of Doppler radar observations with a regional 3DVAR system: impact of Doppler velocities on forecasts of a heavy rainfall case. J. Appl. Meteorol. 2005; 44: 768–788.
  • Xu L , Rosmond T , Daley R . Development of NAVDAS-AR: formulation and initial tests for the linear problem. Tellus A. 2005; 57: 546–559.
  • Zhang X , Huang X.-Y , Pan N . Development of the upgraded tangent linear and adjoint of the Weather Research and Forecasting (WRF) model. J. Atmos. Ocean. Technol. 30, 1180–1188 . 2013