The Advanced Regional Prediction System (ARPS), storm-scale numerical weather prediction and data assimilation

By Ming Xue, Donghai Wang, Jidong Gao, Keith A. Brewster, Kelvin Droegemeier. 2003

518 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/c833d708d38204110f38481203578afe4be3040f

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Citations in the corpus

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 (2006, methodology): “The development of high-resolution nonhydrostatic models and the rapid increase of computer power are making the explicit prediction of thunderstorms a reality (Droegemeier 1990, 1997; Lilly 1990; Xue et al. 2003, hereafter Xue03).”
An overview of the variational assimilation in the ALADIN/France numerical weather‐prediction system (2005, methodology): “Including hydrometeor species in the control variable has already been implemented in the Advanced Regional Prediction System (ARPS) 3D-Var analysis (Xue et al. 2003) for instance.”
Verification of Convection-Allowing WRF Model Forecasts of the Planetary Boundary Layer Using Sounding Observations (2013, methodology): “…Weather Surveillance Radars-1988 Doppler (WSR88Ds) and surface observations were assimilated into the initial conditions of these members identically using a three-dimensional variational data assimilation (3DVAR; Xue et al. 2003; Gao et al. 2004) data and cloud analysis (Hu et al. 2006) system.”
Convection‐permitting models: a step‐change in rainfall forecasting (2016, background): “A significant minority include slope and aspect, and only ARPS (in the survey) include shadowing as well.”
Ensemble kalman filter assimilation of doppler radar data with a compressible nonhydrostatic model : OSS experiments (2005, methodology): “The forecast model used is the Advanced Regional Prediction System (ARPS; Xue et al. 2000, 2001, 2003).”
Verification and Calibration of Neighborhood and Object-Based Probabilistic Precipitation Forecasts from a Multimodel Convection-Allowing Ensemble (2012, methodology): “The 2009 ensemble contained 20 members: 10 with ARW-WRF (Skamarock et al. 2005), 8 with WRF-NMM (Janjic 2003), and 2 with the Advanced Regional Prediction System (ARPS; Xue et al. 2003).”
Evaluating Mesoscale NWP Models Using Kinetic Energy Spectra (2004, methodology): “12a roughly bound the values used in NWP models such as Advanced Regional Prediction System (ARPS; Xue et al. 2003), Coupled Ocean–Atmosphere Mesoscale Prediction System (COAMPS; Hodur 1997), fifth-generation PSU–NCAR mesoscale model [MM5; that scales the hyperviscosity (2b) but has a lower bound; D”
Use of NWP for Nowcasting Convective Precipitation: Recent Progress and Challenges (2014, methodology): “…reflectivity are developed for operational models, including latent heating nudging (e.g., Jones and Macpherson 1997; Stephan et al. 2008), diabatic digital filter initialization (DDFI; Weygandt et al. 2008), and complex cloud analysis (e.g., Albers et al. 1996; Xue et al. 2003; Hu et al. 2006a).”
Assimilation of Reflectivity Data in a Convective-Scale, Cycled 3DVAR Framework with Hydrometeor Classification (2012, methodology): “The Advanced Regional Prediction System (ARPS; Xue et al. 2000, 2003) is used to generate the truth simulation.”
Direct Assimilation of Radar Reflectivity without Tangent Linear and Adjoint of the Nonlinear Observation Operator in the GSI-Based EnVar System: Methodology and Experiment with the 8 May 2003 Oklahoma City Tornadic Supercell (2017, methodology): “…variables, such as cloud liquid water, cloud ice, and precipitation species (rain, snow, and hail), based on the observed reflectivity to initialize the convective-scale NWP (Albers et al. 1996; Brewster 1996; Zhang et al. 1998; Zhang 1999; Souto et al. 2003; Xue et al. 2003; Hu et al. 2006).”
Diagnosing the Intercept Parameter for Exponential Raindrop Size Distribution Based on Video Disdrometer Observations: Model Development (2008, background): “For example, the coefficient of (12) may need to be reduced by a factor of 2–3 to better represent stratiform rain characteris- Fig 8 and 9 live 4/C tics.”
Fully coupled atmosphere‐hydrology simulations for the central Mediterranean: Impact of enhanced hydrological parameterization for short and long time scales (2015, methodology): “…2011], which combined the parallel hydrology model ParFlow [Jones and Woodward, 2001] first with the Advanced Regional Prediction System (ARPS) [Xue et al., 2003], then with the Weather Research and Forecasting atmospheric model (WRF) [Skamarock et al., 2008], highlighting that a more detailed…”
Comparison of Evaporation and Cold Pool Development between Single-Moment and Multimoment Bulk Microphysics Schemes in Idealized Simulations of Tornadic Thunderstorms (2010, methodology): “This scheme, hereafter referred to as LIN, is the default ice BMP in the Advanced Regional Prediction System (ARPS; Xue et al. 2000, 2003), the model used in this investigation.”