PODEn4DVar-based radar data assimilation scheme: formulation and preliminary results from real-data experiments with advanced research WRF (ARW)
References
-
. Selection of initial conditions for ensemble forecasts in a simple perfect model framework. J. Atmos. Sci. 1996; 53( 1 ): 22– 36. DOI: 10.1175/15200469(1996)053<;0022: SOICFE>2.0.CO;2. -
, , . A multicase comparative assessment of the ensemble Kalman Filter for assimilation of radar observations. Part I: Storm-scale analyses. Mon. Weather Rev. 2009; 137: 1805– 1824. -
, , . A multicase comparative assessment of the ensemble Kalman Filter for assimilation of radar observations. Part II: Short-range ensemble forecasts. Mon. Weather Rev. 2010; 138: 1273– 1292. -
, , , , . A three-dimensional variational data assimilation system for MM5: implementation and initial results. Mon. Weather Rev. 2004; 132: 897– 914. -
, , , , . 1D+ 3DVar assimilation of radar reflectivity data: a proof of concept. Tellus A. 2010; 62: 173– 187. -
, , . A comparison between the 4DVar and the ensemble Kalman filter techniques for radar data assimilation. Mon. Weather Rev. 2005; 133: 3801– 3094. -
, , , . A hybrid approach to estimating error covariances in variational data assimilation. Tellus A. 2010; 62: 288– 297. -
, , . A strategy for operational implementation of 4DVar using an incremental approach. Q. J. Roy. Meteorol. Soc. 1994; 120: 1367– 1387. -
, . Numerical forecasts of the 15–16 June 2002 Southern Plains mesoscale convective system: impact of mesoscale data and cloud analysis. Mon. Weather Rev. 2006; 134: 1607– 1629. -
, , . Ensemble Kalman Filter assimilation of radar observations of the 8 May 2003 Oklahoma City supercell: influences of reflectivity observations on storm-scale analyses. Mon. Weather Rev. 2011; 139: 272– 294. DOI: 10.1175/2010MWR3438.1. -
. Sequential data assimilation with a nonlinear quasigeostrophic model using Monte Carlo methods to forecast error statistics. J. Geophys. Res. 1994; 99( C5): 10143– 10162. -
. Sampling strategies and square root analysis schemes for the EnKF. Ocean Dynam. 2004; 54: 539– 560. DOI: 10.1007/s10236-004-0099-2. -
, , , . The initial condition and explicit prediction of convection using ARPS adjoint and other retrievals methods with WSR-88D data. Preprints. 12th Conference on Numerical Weather Prediction. 1998; AZ, American Meteorological Society: Phoenix. 176– 178. -
, . Construction of correlation functions in two and three dimensions. Q. J. Roy. Meteorol. Soc. 1999; 125: 723– 757. -
, . Data assimilation using an ensemble Kalman Filter technique. Mon. Weather Rev. 1998; 126: 796– 811. -
, . A sequential ensemble Kalman Filter for atmospheric data assimilation. Mon. Weather Rev. 2001; 129: 123– 137. -
, . Ensemble Kalman Filtering. Q. J. Roy. Meteorol. Soc. 2005; 131: 3269– 3289. -
, , . 3DVAR and cloud analysis with WSR-88D Level-II data for the prediction of the Fort Worth, Texas, tornadic thunderstorms: Part I. Cloud analysis and its impact. Mon. Weather Rev. 2006; 134: 675– 698. -
, , . Four-dimensional variational data assimilation for WRF: formulation and preliminary results. Mon. Weather Rev. 2009; 137: 299– 314. -
, , , . Efficient data assimilation spatiotemporal chaos: a local ensemble transform Kalman Filter. Physica D. 2007; 230: 112– 126. -
, , . Statistical characteristics of clutter and improvements of ground clutter identification technique with Doppler weather radar. J. Appl. Meteorol. Sci. 2009; 20( 2 ): 203– 213. (In Chinese). -
, , , . A cloud-resolving 4DVAR assimilation experiment for a local heavy rainfall event in the Tokyo metropolitan area. Mon. Weather Rev. 2011; 139: 1911– 1930. -
, . The use of the adjoint equation to solve a variational adjustment problem with advective constraints. Tellus A. 1985; 37: 309– 322. -
, . Assimilation of the dual-polarization Doppler radar for a convective storm with a warm-rain radar forward operator. J. Geophys. Res. 2010; 115: 1628. DOI: 10.1029/2009JD013666. -
, , . An ensemble-based four-dimensional variational data assimilation scheme. Part I: Technique formulation and preliminary test. Mon. Weather Rev. 2008; 136: 3363– 3373. -
, . “1D+4DVAR” assimilation of NCEP stage-IV radar and gauge hourly precipitation data at ECMWF. Mon. Weather Rev. 2007; 135: 2506– 2524. -
. The potential of the ensemble Kalman Filter for NWP: a comparison with 4Dvar. Q. J. Roy. Meteorol. Soc. 2003; 129: 3183– 3203. -
, . Modeling and control of physical processes using proper orthogonal decomposition. Math. Comput. Model. 2001; 33: 223– 236. -
, , , , . Assimilating Doppler radar radial velocity and reflectivity observations in the weather research and forecasting model by a proper orthogonal decomposition based ensemble three-dimensional variational assimilation method. J. Geophys. Res. 2012; 117: 17113. DOI: 10.1029/2012JD017684. -
, , . Impact of airborne Doppler radar data assimilation on the numerical simulation of intensity change of Hurricane Dennis (2005) near a landfall. J. Atmos. Sci. 2009; 66: 3351– 3365. -
, , , . Fitting model fields to observations by using singular value decomposition: an ensemble-based 4DVar approach. J. Geophys. Res. 2007; 112: 11105. DOI: 10.1029/2006JD007994. -
, , , , . A Description of the Advanced Research WRF Version 3. -
, , , , . A Description of the Advanced Research WRF Version 3. -
. Initialization and numerical forecasting of a supercell storm observed during STEPS. Mon. Weather Rev. 2005; 133: 793– 813. -
, . Dynamical and microphysical retrieval from Doppler radar observations using a cloud model and its adjoint: Part I. Model development and simulated data experiments. J. Atmos. Sci. 1997; 54: 1642– 1661. -
, . Dynamical and microphysical retrieval from Doppler radar observations using a cloud model and its adjoint: Part II. Retrieval experiments of an observed Florida convective storm. J. Atmos. Sci. 1998; 55: 835– 852. -
, . Radar data assimilation with WRF 4D-Var. Part II: Comparison with 3D-Var for a squall line over the U.S. Great Plains. Mon. Weather Rev. 2013; 141: 2245– 2264. -
, . Implementations of a square-root ensemble analysis and a hybrid localization into the POD-based ensemble 4DVar. Tellus A. 2012; 64: 18375. DOI: 10.3402/tellusa.v64i0.18375. -
, , . An ensemble-based explicit four-dimensional variational assimilation method. J. Geophys. Res. 2008; 113: 21124. DOI: 10.1029/2008JD010358. -
, , , , . A microwave land data assimilation system: scheme and preliminary evaluation over China. J. Geophys. Res. 2010; 115: 21113. DOI: 10.1029/2010JD014370. -
, , , , . A dual-pass variational data assimilation framework for estimating soil moisture profiles from AMSR-E microwave brightness temperature. J. Geophys. Res. 2009; 114: 16102. DOI: 10.1029/2008JD011600. -
, , . A joint data assimilation system (Tan-Tracker) to simultaneously estimate surface CO2 fluxes and 3-D atmospheric concentrations from observations. Atmos. Chem. Phys. 2014; 14: 13281– 13293. -
, , . A POD-based ensemble four-dimensional variational assimilation method. Tellus A. 2011; 63: 805– 816. -
, . Ensemble Kalman Filter assimilation of Doppler radar data with a compressible nonhydrostatic model: OSS experiments. Mon. Weather Rev. 2005; 133: 1789– 1807. -
, , , , . An economical approach to four-dimensional variational data assimilation. Adv. Atmos. Sci. 2010; 27( 4 ): 715– 727. DOI: 10.1007/s00376-009-9122-3. -
, , . Impact of microphysics scheme complexity on the propagation of initial perturbations. Mon. Weather Rev. 2012; 140: 2287– 2296. -
, , , , . Radar data assimilation with WRF 4D-Var. Part I: System development and preliminary testing. Mon. Weather Rev. 2013; 141: 2224– 2244. -
, , . Operational implementation of the 1D+3D-Var assimilation of radar reflectivity data in the AROME model. Mon. Weather Rev. 2014; 142: 1852– 1873. -
, , , . SAL – a novel quality measure for the verification of quantitative precipitation forecasts. Mon. Weather Rev. 2008; 136: 4470– 4487. -
, , . Retrieval of model initial fields from single-Doppler observations of a supercell thunderstorm: Part II. Thermodynamic retrieval and numerical prediction. Mon. Weather Rev. 2002; 130: 454– 476. -
, , . Dynamical and microphysical retrievals from Doppler radar observations of a deep convective cloud. J. Atmos. Sci. 2000; 57: 262– 283. -
, , , , . Doppler radar data assimilation in KMA's operational forecasting. Bull. Am. Meteorol. Soc. 2008; 89: 39– 43. -
, , , , . An approach of radar reflectivity data assimilation and its assessment with the inland QPF of Typhoon Rusa (2002) at landfall. J. Clim. Appl. Meteorol. 2007; 46: 14– 22. -
, , . Doppler radar data assimilation with a local SVD-En3DVar method. Acta Meteorol. Sinca. 2012; 6: 717– 733. -
, , . Impacts of initial estimate and observations on the convective-scale data assimilation with an ensemble Kalman Filter. Mon. Weather. Rev. 2004a; 132: 1238– 1253. -
, , . Coupling ensemble Kalman Filter with four dimensional variational data assimilation. Adv. Atmos. Sci. 2009; 26( 1 ): 1– 8. DOI: 10.1007/s00376-009-0001-8. -
, , , , . GRAPeS 3D-Var data assimilation system ideal experiments. Acta Meteorol. Sinca. 2004b; 62: 31– 41. -
, . An automated 2D multipass Doppler radar velocity dealiasing scheme. J. Atmos. Ocean. Technol. 2006; 23: 1239– 1248. -
, , , . Using radar wind observations to improve mesoscale numerical weather prediction. Weather Forecast. 2006; 21: 502– 522.
DOI: https://doi.org/10.3402/tellusa.v67.26045 | Journal eISSN: 3035-9554
Language: English
Page range: 26045 - 26045
Submitted on: Sep 17, 2014
Accepted on: Jan 21, 2015
Published on: Dec 1, 2015
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
Keywords:
© 2015 Bin Zhang, Xiangjun Tian, Jianhua Sun, Feng Chen, Yuanchun Zhang, Lifeng Zhang, Shenming Fu, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.