A Description of the Advanced Research WRF Model Version 4
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Jimy Dudhia | Wei Wang | Dale Barker | Zhiquan Liu | B. Klemp | Judith Berner | Xiang-Yu Huang | O. Gill | C. Skamarock | G. Powers | G. Duda | J. Dudhia | D. Barker | B. Klemp | Wei Wang | Zhiquan Liu | Xiangyu Huang | J. Berner | C. Skamarock | O. Gill | G. Duda | G. Powers
[1] R. Rasmussen,et al. Explicit forecasting of supercooled liquid water in winter storms using the MM5 mesoscale model , 1998 .
[2] J. Dudhia,et al. A Revised Approach to Ice Microphysical Processes for the Bulk Parameterization of Clouds and Precipitation , 2004 .
[3] B. Hicks,et al. Flux‐gradient relationships in the constant flux layer , 1970 .
[4] Simon T. K. Lang,et al. Stochastic representations of model uncertainties at ECMWF: state of the art and future vision , 2017 .
[5] Feng Gao,et al. Assimilation of wind speed and direction observations: results from real observation experiments , 2015 .
[6] B. Galperin,et al. ‘Application of a New Spectral Theory of Stably Stratified Turbulence to the Atmospheric Boundary Layer over Sea Ice’ , 2005 .
[7] Stanley G. Benjamin,et al. Parameterization of cold-season processes in the MAPS land-surface scheme , 2000 .
[8] C. Rodgers,et al. Some extensions and applications of the new random model for molecular band transmission , 1968 .
[9] Da‐Lin Zhang,et al. A High-Resolution Model of the Planetary Boundary Layer—Sensitivity Tests and Comparisons with SESAME-79 Data , 1982 .
[10] Dmitrii Mironov,et al. An improved lake model for climate simulations: Model structure, evaluation, and sensitivity analyses in CESM1 , 2012 .
[11] G. Grell. Prognostic evaluation of assumptions used by cumulus parameterizations , 1993 .
[12] Erik N. Rasmussen,et al. Precipitation Uncertainty Due to Variations in Precipitation Particle Parameters within a Simple Microphysics Scheme , 2004 .
[13] S. Freitas,et al. A scale and aerosol aware stochastic convective parameterization for weather and air quality modeling , 2013 .
[14] Todd D. Ringler,et al. A Multiscale Nonhydrostatic Atmospheric Model Using Centroidal Voronoi Tesselations and C-Grid Staggering , 2012 .
[15] Feng Gao,et al. Assimilation of wind speed and direction observations: a new formulation and results from idealised experiments , 2013 .
[16] Martin Leutbecher,et al. A Spectral Stochastic Kinetic Energy Backscatter Scheme and Its Impact on Flow-Dependent Predictability in the ECMWF Ensemble Prediction System , 2009 .
[17] J. Klemp,et al. The Simulation of Three-Dimensional Convective Storm Dynamics , 1978 .
[18] J. Kain,et al. A One-Dimensional Entraining/Detraining Plume Model and Its Application in Convective Parameterization , 1990 .
[19] Gérald Desroziers,et al. Diagnosis and adaptive tuning of observation‐error parameters in a variational assimilation , 2001 .
[20] Ying-Hwa Kuo,et al. Assimilation of Doppler Radar Observations with a Regional 3DVAR System: Impact of Doppler Velocities on Forecasts of a Heavy Rainfall Case , 2005 .
[21] Stephen B. Fels,et al. The Simplified Exchange Approximation: A New Method for Radiative Transfer Calculations , 1975 .
[22] Travis H. Wilson,et al. Modeling the Evolution and Life Cycle of Radiative Cold Pools and Fog , 2017 .
[23] Douglas V. Hoyt,et al. Radiation Budget of the Southern Hemisphere , 1972 .
[24] Xu Dongmei,et al. Comparisons of Two Cloud-Detection Schemes for Infrared Radiance Observations , 2014 .
[25] Anthony Hollingsworth,et al. The statistical structure of short-range forecast errors as determined from radiosonde data , 1986 .
[26] C. Bretherton,et al. A New Moist Turbulence Parameterization in the Community Atmosphere Model , 2009 .
[27] A. Pokrovsky,et al. Simulation of effects of atmospheric aerosols on deep turbulent convective clouds using a spectral microphysics mixed-phase cumulus cloud model. Part I: Model description and possible applications , 2004 .
[28] Andrew C. Lorenc,et al. Analysis methods for numerical weather prediction , 1986 .
[29] Yuqing Wang,et al. Projected Future Changes of Tropical Cyclone Activity over the Western North and South Pacific in a 20-km-Mesh Regional Climate Model , 2017 .
[30] Jimy Dudhia,et al. Aerosol Effects on Intensity of Landfalling Hurricanes as Seen from Simulations with the WRF Model with Spectral Bin Microphysics , 2010 .
[31] Stanley G. Benjamin,et al. Performance of Different Soil Model Configurations in Simulating Ground Surface Temperature and Surface Fluxes , 1997 .
[32] Wei Huang,et al. A Three-Dimensional Variational Data Assimilation System for MM5: Implementation and Initial Results , 2004 .
[33] Song-You Hong,et al. Implementation of Prognostic Cloud Scheme for a Regional Spectral Model , 1998 .
[34] Chris Snyder,et al. Model Uncertainty in a Mesoscale Ensemble Prediction System: Stochastic versus Multiphysics Representations , 2011 .
[35] Jimy Dudhia,et al. Local and mesoscale impacts of wind farms as parameterized in a mesoscale NWP model , 2012 .
[36] H. Niino,et al. Development of an Improved Turbulence Closure Model for the Atmospheric Boundary Layer , 2009 .
[37] Jimy Dudhia,et al. The Weather Research and Forecast Model: software architecture and performance [presentation] , 2005 .
[38] Alexander Khain,et al. Microphysics, Radiation and Surface Processes in the Goddard Cumulus Ensemble (GCE) Model , 2003 .
[39] Joanne Simpson,et al. Comparison of Ice-Phase Microphysical Parameterization Schemes Using Numerical Simulations of Tropical Convection , 1991 .
[40] Jimy Dudhia,et al. A New Method for Representing Mixed-phase Particle Fall Speeds in Bulk Microphysics Parameterizations , 2008 .
[41] R. Easter. Two Modified Versions of Bott's Positive-Definite Numerical Advection Scheme , 1993 .
[42] J. Dudhia,et al. A New Vertical Diffusion Package with an Explicit Treatment of Entrainment Processes , 2006 .
[43] Ying-Hwa Kuo,et al. Parallelization Strategies for the GPS Radio Occultation Data Assimilation with a Nonlocal Operator in the Weather Research and Forecasting Model , 2014 .
[44] Thorsten Mauritsen,et al. Performance of an Eddy Diffusivity-Mass Flux Scheme for Shallow Cumulus Boundary Layers , 2010 .
[45] Young Cheol Kwon,et al. A Mass-Flux Cumulus Parameterization Scheme across Gray-Zone Resolutions , 2017 .
[46] H. Kondo,et al. A Simple Single-Layer Urban Canopy Model For Atmospheric Models: Comparison With Multi-Layer And Slab Models , 2001 .
[47] Bryan A. Baum,et al. Spectrally Consistent Scattering, Absorption, and Polarization Properties of Atmospheric Ice Crystals at Wavelengths from 0.2 to 100 um , 2013 .
[48] Sylvie Malardel,et al. A Parameterization of Dry Thermals and Shallow Cumuli for Mesoscale Numerical Weather Prediction , 2009 .
[49] G. Grell,et al. A generalized approach to parameterizing convection combining ensemble and data assimilation techniques , 2002 .
[50] Roger Daley,et al. NAVDAS: Formulation and Diagnostics , 2001 .
[51] N. Roberts,et al. Numerical Aspects of the Application of Recursive Filters to Variational Statistical Analysis. Part II: Spatially Inhomogeneous and Anisotropic General Covariances , 2003 .
[52] Robert C. Gilliam,et al. An Indirect Data Assimilation Scheme for Deep Soil Temperature in the Pleim–Xiu Land Surface Model , 2009 .
[53] G. Shutts. A kinetic energy backscatter algorithm for use in ensemble prediction systems , 2005 .
[54] Larry K. Berg,et al. A new WRF-Chem treatment for studying regional scale impacts of cloud-aerosol interactions in parameterized cumuli , 2014 .
[55] Juanzhen Sun,et al. Radar Data Assimilation with WRF 4D-Var. Part II: Comparison with 3D-Var for a Squall Line over the U.S. Great Plains , 2013 .
[56] Jinzhong Min,et al. AMSR2 all-sky radiance assimilation and its impact on the analysis and forecast of Hurricane Sandy with a limited-area data assimilation system , 2016 .
[57] Peter V. Hobbs,et al. The Mesoscale and Microscale Structure and Organization of Clouds and Precipitation in Midlatitude Cyclones. XII: A Diagnostic Modeling Study of Precipitation Development in Narrow Cold-Frontal Rainbands , 1984 .
[58] Juanzhen Sun,et al. Multiple-Radar Data Assimilation and Short-Range Quantitative Precipitation Forecasting of a Squall Line Observed during IHOP_2002 , 2007 .
[59] Joanne Simpson,et al. An Ice-Water Saturation Adjustment , 1989 .
[60] Paul D. Williams,et al. Stochastic Parameterization: Towards a new view of Weather and Climate Models , 2015, 1510.08682.
[61] Song‐You Hong,et al. The WRF Single-Moment 6-Class Microphysics Scheme (WSM6) , 2006 .
[62] Mohamed Moustaoui,et al. Vertically nested nonhydrostatic model for multiscale resolution of flows in the upper troposphere and lower stratosphere , 2009, J. Comput. Phys..
[63] W. Collins,et al. Radiative forcing by long‐lived greenhouse gases: Calculations with the AER radiative transfer models , 2008 .
[64] Stephen B. Fels,et al. Improvements to the algorithm for computing CO2 transmissivities and cooling rates , 1985 .
[65] Hailong Wang,et al. Evaluation of Scalar Advection Schemes in the Advanced Research WRF Model Using Large-Eddy Simulations of Aerosol–Cloud Interactions , 2009 .
[66] A. Beljaars. The parametrization of surface fluxes in large-scale models under free convection , 1995 .
[67] Thomas Auligné,et al. A validation of the multivariate and minimum residual method for cloud retrieval using radiance from multiple satellites , 2015, Advances in Atmospheric Sciences.
[68] John Derber,et al. The National Meteorological Center's spectral-statistical interpolation analysis system , 1992 .
[69] George Z. Forristall,et al. Forced Stage Response to a Moving Hurricane , 1994 .
[70] Peter E. Thornton,et al. Technical Description of the Community Land Model (CLM) , 2004 .
[71] Jinzhong Min,et al. Impact of assimilating GOES imager clear‐sky radiance with a rapid refresh assimilation system for convection‐permitting forecast over Mexico , 2017 .
[72] A. Monin,et al. Basic laws of turbulent mixing in the surface layer of the atmosphere , 2009 .
[73] H. Pan,et al. Implementing a mass flux convection parameterization package for the NMC medium-range forecast model , 1995 .
[74] Zavisa Janjic,et al. The Step-Mountain Coordinate: Physical Package , 1990 .
[75] Chris Snyder,et al. A Hybrid ETKF–3DVAR Data Assimilation Scheme for the WRF Model. Part II: Real Observation Experiments , 2008 .
[76] J. Hansen,et al. A parameterization for the absorption of solar radiation in the earth's atmosphere , 1974 .
[77] Song-You Hong,et al. An updated subgrid orographic parameterization for global atmospheric forecast models , 2015 .
[78] E. K. Webb. Profile relationships: The log‐linear range, and extension to strong stability , 1970 .
[79] S. Zilitinkevich,et al. Non-local turbulent transport pollution dispersion aspects of coherent structure of convective flows , 1995 .
[80] Peter Lynch,et al. Initialization of the HIRLAM Model Using a Digital Filter , 1992 .
[81] Kevin W. Manning,et al. The community Noah land surface model with multiparameterization options (Noah-MP): 2. Evaluation over global river basins , 2011 .
[82] Zaviša I. Janić. Nonsingular implementation of the Mellor-Yamada level 2.5 scheme in the NCEP Meso model , 2001 .
[83] Louis J. Wicker,et al. Simulation and Analysis of Tornado Development and Decay within a Three-Dimensional Supercell Thunderstorm , 1995 .
[84] F. Kimura,et al. Coupling a Single-Layer Urban Canopy Model with a Simple Atmospheric Model: Impact on Urban Heat Island Simulation for an Idealized Case , 2004 .
[85] R E Roberts,et al. Infrared continuum absorption by atmospheric water vapor in the 8-12-microm window. , 1976, Applied optics.
[86] Neill E. Bowler,et al. The MOGREPS short‐range ensemble prediction system , 2008 .
[87] Juanzhen Sun,et al. Radar Data Assimilation with WRF 4D-Var. Part I: System Development and Preliminary Testing , 2013 .
[88] Joseph B. Klemp,et al. Numerical Simulation of Hydrostatic Mountain Waves , 1978 .
[89] D. Dee,et al. Variational bias correction of radiance data in the ECMWF system , 2004 .
[90] H. Davies,et al. Updating prediction models by dynamical relaxation - An examination of the technique. [for numerical weather forecasting] , 1977 .
[91] René Laprise,et al. The Euler Equations of Motion with Hydrostatic Pressure as an Independent Variable , 1992 .
[92] S. Planton,et al. A Simple Parameterization of Land Surface Processes for Meteorological Models , 1989 .
[93] J. Pleim. A Simple, Efficient Solution of Flux–Profile Relationships in the Atmospheric Surface Layer , 2006 .
[94] Ying Zhang,et al. Design Strategies of an Hourly Update 3DVAR Data Assimilation System for Improved Convective Forecasting , 2016 .
[95] R. Purser,et al. Three-Dimensional Variational Analysis with Spatially Inhomogeneous Covariances , 2002 .
[96] Ying Zhang,et al. Comparison of the Impacts of Momentum Control Variables on High-Resolution Variational Data Assimilation and Precipitation Forecasting , 2016 .
[97] Q. Fu,et al. On the correlated k-distribution method for radiative transfer in nonhomogeneous atmospheres , 1992 .
[98] D. Stauffer,et al. Use of Four-Dimensional Data Assimilation in a Limited-Area Mesoscale Model. Part I: Experiments with Synoptic-Scale Data , 1990 .
[99] Eric C. Bruning,et al. Simulated Electrification of a Small Thunderstorm with Two-Moment Bulk Microphysics , 2010 .
[100] Jonathan Poterjoy,et al. Development of an Efficient Regional Four-Dimensional Variational Data Assimilation System for WRF , 2014 .
[101] Fotini Katopodes Chow,et al. A New Vertical Grid Nesting Capability in the Weather Research and Forecasting (WRF) Model , 2016 .
[102] Kevin W. Manning,et al. Explicit Forecasts of Winter Precipitation Using an Improved Bulk Microphysics Scheme. Part I: Description and Sensitivity Analysis , 2004 .
[103] Georgiy L. Stenchikov,et al. Spectral nudging to eliminate the effects of domain position and geometry in regional climate model simulations , 2004 .
[104] Joseph B. Olson,et al. A Description of the MYNN-EDMF Scheme and the Coupling to Other Components in WRF–ARW , 2019 .
[105] A. Betts,et al. A new convective adjustment scheme. Part II: Single column tests using GATE wave, BOMEX, ATEX and arctic air‐mass data sets , 1986 .
[106] Piotr K. Smolarkiewicz,et al. A class of monotone interpolation schemes , 1992 .
[107] Stanley G. Benjamin,et al. A Performance Comparison between Multiphysics and Stochastic Approaches within a North American RAP Ensemble , 2017 .
[108] Aijun Xiu,et al. Development and Testing of a Surface Flux and Planetary Boundary Layer Model for Application in Mesoscale Models , 1995 .
[109] Peter Bauer,et al. Observation errors in all‐sky data assimilation , 2011 .
[110] Stephen B. Fels,et al. The simplified exchange method revisited: An accurate, rapid method for computation of infrared cooling rates and fluxes , 1991 .
[111] E. Mlawer,et al. Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave , 1997 .
[112] Ying-Hwa Kuo,et al. An approach of radar reflectivity data assimilation and its assessment with the inland QPF of Typhoon Rusa (2002) at landfall , 2007 .
[113] David R. Stauffer,et al. Multiscale four-dimensional data assimilation , 1994 .
[114] Jimy Dudhia,et al. Conservative Split-Explicit Time Integration Methods for the Compressible Nonhydrostatic Equations , 2007 .
[115] Zhe-Min Tan,et al. Improving the behavior of the cumulus parameterization for tropical cyclone prediction : Convection trigger , 2009 .
[116] J. Kain,et al. A Shallow-Convection Parameterization for Mesoscale Models. Part I: Submodel Description and Preliminary Applications. , 2003 .
[117] J. Pleim. A Combined Local and Nonlocal Closure Model for the Atmospheric Boundary Layer. Part I: Model Description and Testing , 2007 .
[118] Xiang-Yu Huang,et al. Development of the Upgraded Tangent Linear and Adjoint of the Weather Research and Forecasting (WRF) Model , 2013 .
[119] D. Durran,et al. A Compressible Model for the Simulation of Moist Mountain Waves , 1983 .
[120] John S. Kain,et al. Convective parameterization for mesoscale models : The Kain-Fritsch Scheme , 1993 .
[121] H. Pan,et al. Revision of Convection and Vertical Diffusion Schemes in the NCEP Global Forecast System , 2011 .
[122] Chris Snyder,et al. Increasing the Skill of Probabilistic Forecasts: Understanding Performance Improvements from Model-Error Representations , 2015 .
[123] Juanzhen Sun,et al. Constraining a 3DVAR Radar Data Assimilation System with Large-Scale Analysis to Improve Short-Range Precipitation Forecasts , 2016 .
[124] P. Lacarrére,et al. Parameterization of Orography-Induced Turbulence in a Mesobeta--Scale Model , 1989 .
[125] Ming Xue,et al. High-Order Monotonic Numerical Diffusion and Smoothing , 2000 .
[126] Kevin W. Manning,et al. The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurements , 2011 .
[127] Jimy Dudhia,et al. Introducing subgrid-scale cloud feedbacks to radiation for regional meteorological and climate modeling , 2012 .
[128] Jonathan E. Pleim,et al. Development of a Land Surface Model. Part II: Data Assimilation , 2003 .
[129] Shian‐Jiann Lin,et al. Multidimensional Flux-Form Semi-Lagrangian Transport Schemes , 1996 .
[130] Jihyeon Jang,et al. Impacts of Shallow Convection Processes on a Simulated Boreal Summer Climatology in a Global Atmospheric Model , 2018, Asia-Pacific Journal of Atmospheric Sciences.
[131] G. Thompson,et al. Explicit Forecasts of Winter Precipitation Using an Improved Bulk Microphysics Scheme. Part II: Implementation of a New Snow Parameterization , 2008 .
[132] Piers J. Sellers,et al. A Simplified Biosphere Model for Global Climate Studies , 1991 .
[133] G. Thompson,et al. A Study of Aerosol Impacts on Clouds and Precipitation Development in a Large Winter Cyclone , 2014 .
[134] Evgueni I. Kassianov,et al. Evaluation of a Modified Scheme for Shallow Convection: Implementation of CuP and Case Studies , 2013 .
[135] Feng Gao,et al. Using Adjoint-Based Forecast Sensitivity Method to Evaluate TAMDAR Data Impacts on Regional Forecasts , 2015 .
[136] Philippe Courtier,et al. Unified Notation for Data Assimilation : Operational, Sequential and Variational , 1997 .
[137] M. Tiedtke. A Comprehensive Mass Flux Scheme for Cumulus Parameterization in Large-Scale Models , 1989 .
[138] J. Deardorff. Numerical Investigation of Neutral and Unstable Planetary Boundary Layers , 1972 .
[139] Dev Niyogi,et al. Improving High-Resolution Weather Forecasts Using the Weather Research and Forecasting (WRF) Model with an Updated Kain–Fritsch Scheme , 2016 .
[140] C. Bretherton,et al. The University of Washington Shallow Convection and Moist Turbulence Schemes and Their Impact on Climate Simulations with the Community Atmosphere Model , 2009 .
[141] W. Cooper,et al. Ice Initiation in Natural Clouds , 1986 .
[142] Juanzhen Sun,et al. Indirect Assimilation of Radar Reflectivity with WRF 3D-Var and Its Impact on Prediction of Four Summertime Convective Events , 2013 .
[143] William C. Skamarock,et al. Modifications to WRF's dynamical core to improve the treatment of moisture for large‐eddy simulations , 2015 .
[144] Peter Lynch,et al. Diabatic initialization using recursive filters , 1994 .
[145] J. Dudhia. Numerical Study of Convection Observed during the Winter Monsoon Experiment Using a Mesoscale Two-Dimensional Model , 1989 .
[146] Charles Ichoku,et al. Impact of radiation frequency, precipitation radiative forcing, and radiation column aggregation on convection-permitting West African monsoon simulations , 2018, Climate Dynamics.
[147] Song-You Hong,et al. Representation of the Subgrid-Scale Turbulent Transport in Convective Boundary Layers at Gray-Zone Resolutions , 2015 .
[148] Shuyi S. Chen,et al. Symmetric and Asymmetric Structures of Hurricane Boundary Layer in Coupled Atmosphere–Wave–Ocean Models and Observations , 2012 .
[149] Peter Lynch,et al. The Dolph-Chebyshev Window: A Simple Optimal Filter , 1997 .
[150] Brian A. Colle,et al. A New Bulk Microphysical Scheme That Includes Riming Intensity and Temperature-Dependent Ice Characteristics , 2011 .
[151] Christopher S. Bretherton,et al. A Moist PBL Parameterization for Large-Scale Models and Its Application to Subtropical Cloud-Topped Marine Boundary Layers , 2001 .
[152] W. Skamarock,et al. The Impact of Positive-Definite Moisture Transport on NWP Precipitation Forecasts , 2009 .
[153] Jimy Dudhia,et al. An Upper Gravity-Wave Absorbing Layer for NWP Applications , 2008 .
[154] W. Skamarock,et al. The stability of time-split numerical methods for the hydrostatic and the nonhydrostatic elastic equations , 1992 .
[155] Yuqing Wang,et al. Improved Representation of Boundary Layer Clouds over the Southeast Pacific in ARW-WRF Using a Modified Tiedtke Cumulus Parameterization Scheme* , 2011 .
[156] Song‐You Hong,et al. Improvement of the K-profile Model for the Planetary Boundary Layer based on Large Eddy Simulation Data , 2003 .
[157] John S. Kain,et al. The Kain–Fritsch Convective Parameterization: An Update , 2004 .
[158] Song-You Hong,et al. Development of an Effective Double-Moment Cloud Microphysics Scheme with Prognostic Cloud Condensation Nuclei (CCN) for Weather and Climate Models , 2010 .
[159] Craig S. Schwartz,et al. Sensitivity of Limited-Area Hybrid Variational-Ensemble Analyses and Forecasts to Ensemble Perturbation Resolution , 2015 .
[160] J. Curry,et al. A New Double-Moment Microphysics Parameterization for Application in Cloud and Climate Models. Part I: Description , 2005 .
[161] H. Niino,et al. An Improved Mellor–Yamada Level-3 Model: Its Numerical Stability and Application to a Regional Prediction of Advection Fog , 2006 .
[162] C. Paulson. The Mathematical Representation of Wind Speed and Temperature Profiles in the Unstable Atmospheric Surface Layer , 1970 .
[163] N. B. Ingleby,et al. The statistical structure of forecast errors and its representation in The Met. Office Global 3‐D Variational Data Assimilation Scheme , 2001 .
[164] Alberto Martilli,et al. A new Building Energy Model coupled with an Urban Canopy Parameterization for urban climate simulations—part II. Validation with one dimension off-line simulations , 2009 .
[165] Jinzhong Min,et al. Impact of assimilating IASI radiance observations on forecasts of two tropical cyclones , 2013, Meteorology and Atmospheric Physics.
[166] Chris Snyder,et al. Impact of Assimilating AMSU-A Radiances on Forecasts of 2008 Atlantic Tropical Cyclones Initialized with a Limited-Area Ensemble Kalman Filter , 2012 .
[167] Xiaoliang Song,et al. The Weather Research and Forecasting Model with Aerosol-Cloud Interactions (WRF-ACI): Development, Evaluation, and Initial Application. , 2019, Monthly weather review.
[168] Jimy Dudhia,et al. A multilayer upper-boundary condition for longwave radiative flux to correct temperature biases in a mesoscale model , 2011 .
[169] G. J. Haltiner. Numerical Prediction and Dynamic Meteorology , 1980 .
[170] E. Kessler. On the distribution and continuity of water substance in atmospheric circulations , 1969 .
[171] Di Wu,et al. High‐resolution NU‐WRF simulations of a deep convective‐precipitation system during MC3E: Further improvements and comparisons between Goddard microphysics schemes and observations , 2016, Journal of geophysical research. Atmospheres : JGR.
[172] Gérald Desroziers,et al. A Coordinate Change for Data Assimilation in Spherical Geometry of Frontal Structures , 1997 .
[173] G. L. Stephens,et al. Radiation Profiles in Extended Water Clouds. I: Theory , 1978 .
[174] S. Zalesak. Fully multidimensional flux-corrected transport algorithms for fluids , 1979 .
[175] J. Dudhia,et al. A Revised Scheme for the WRF Surface Layer Formulation , 2012 .
[176] H. Morrison,et al. Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part I: Scheme Description and Idealized Tests , 2015 .
[177] Peter Lynch,et al. Diabatic Digital-Filtering Initialization: Application to the HIRLAM Model , 1993 .
[178] A.. A new convective adjustment scheme. Part I: Observational and theoretical basis , 2006 .
[179] J. Dudhia,et al. Improving the representation of resolved and unresolved topographic effects on surface wind in the WRF model , 2012 .
[180] Chris Snyder,et al. A Hybrid ETKF-3DVAR Data Assimilation Scheme for the WRF Model. Part I: Observing System Simulation Experiment , 2008 .
[181] D. Lawrence,et al. Parameterization improvements and functional and structural advances in Version 4 of the Community Land Model , 2011 .
[182] Katsuyuki V. Ooyama,et al. A Thermodynamic Foundation for Modeling the Moist Atmosphere , 1990 .
[183] Zavisa Janjic,et al. Comments on “Development and Evaluation of a Convection Scheme for Use in Climate Models” , 2000 .
[184] P. Courtier,et al. Extended assimilation and forecast experiments with a four‐dimensional variational assimilation system , 1998 .
[185] Louis J. Wicker,et al. Time-Splitting Methods for Elastic Models Using Forward Time Schemes , 2002 .
[186] Jason C. Knievel,et al. Explicit Numerical Diffusion in the WRF Model , 2007 .
[187] Christopher A. Davis,et al. The Operational Mesogamma-Scale Analysis and Forecast System of the U.S. Army Test and Evaluation Command. Part I: Overview of the Modeling System, the Forecast Products, and How the Products Are Used , 2008 .
[188] James O. Pinto,et al. Intercomparison of bulk cloud microphysics schemes in mesoscale simulations of springtime Arctic mixed-phase stratiform clouds , 2006 .
[189] H. Pan,et al. Nonlocal Boundary Layer Vertical Diffusion in a Medium-Range Forecast Model , 1996 .
[190] J. Harrington,et al. Predicting Ice Shape Evolution in a Bulk Microphysics Model , 2017 .
[191] Sun Shufen,et al. Implementing a new snow scheme in Simplified Simple Biosphere Model , 2001 .
[192] Georg A. Grell,et al. Fully coupled “online” chemistry within the WRF model , 2005 .
[193] Z. Janjic. The Step-Mountain Eta Coordinate Model: Further Developments of the Convection, Viscous Sublayer, and Turbulence Closure Schemes , 1994 .
[194] Fei Chen,et al. Development and evaluation of a mosaic approach in the WRF‐Noah framework , 2013 .
[195] Song-You Hong,et al. Stable Boundary Layer Mixing in a Vertical Diffusion Scheme , 2007 .
[196] G. Mellor,et al. Development of a turbulence closure model for geophysical fluid problems , 1982 .
[197] N. McFarlane,et al. Sensitivity of Climate Simulations to the Parameterization of Cumulus Convection in the Canadian Climate Centre General Circulation Model , 1995, Data, Models and Analysis.
[198] Yu Gu,et al. Cirrus cloud simulations using WRF with improved radiation parameterization and increased vertical resolution , 2011 .
[199] Jimy Dudhia,et al. Four-Dimensional Variational Data Assimilation for WRF : Formulation and Preliminary Results , 2009 .
[200] Yuan Wang,et al. Implementation of a dynamic equation constraint based on the steady state momentum equations within the WRF hybrid ensemble‐3DVar data assimilation system and test with radar T‐TREC wind assimilation for tropical Cyclone Chanthu (2010) , 2015 .
[201] Di Wu,et al. Benefits of a 4th Ice Class in the Simulated Radar Reflectivities of Convective Systems Using a Bulk Microphysics Scheme , 2014 .
[202] H. D. Orville,et al. Bulk Parameterization of the Snow Field in a Cloud Model , 1983 .
[203] M. Yau,et al. A Multimoment Bulk Microphysics Parameterization. Part I: Analysis of the Role of the Spectral Shape Parameter , 2005 .
[204] A. Clappier,et al. An Urban Surface Exchange Parameterisation for Mesoscale Models , 2002 .
[205] B. Ryan,et al. On the Global Variation of Precipitating Layer Clouds , 1996 .
[206] C. Snyder,et al. Linear and non-linear response to parameter variations in a mesoscale model , 2009 .
[207] William C. Skamarock,et al. Evaluation of Global Atmospheric Solvers Using Extensions of the Jablonowski and Williamson Baroclinic Wave Test Case , 2013 .