Author Year Title Input Datasets Microphysics Boundary Layer PWRF Version Simulation Location
Bromwich et al 2015 A comparison of the regional Arctic System Reanalysis and the global ERA-Interim Reanalysis for the Arctic
  • ERA-Interim
  • SSMI
  • PIOMAS
  • Goddard
  • MYNN
 3.3.1 Arctic
Steinhoff et al 2014 Austral summer foehn winds over the McMurdo dry valleys of Antarctica from Polar WRF
  • ERA-Interim
  • AVHRR
  • AMSR-E
  • SSMI
 3.2.1 Antarctica
Bromwich et al 2013 Comprehensive evaluation of polar weather research and forecasting model performance in the Antarctic
  • ERA-Interim
  • RAMP-DEM (elevation)
  • NCEP
  • SSMI (ice concentration)
  • WRF Single-Moment 5-Class
  • MYJ
 3.0.1 Antarctica
Steinhoff et al 2012 Dynamics of the Foehn Mechanism in the McMurdo Dry Valleys of Antarctica from Polar WRF
  • ERA-Interim
  • AVHRR (SST)
  • AMSR-E (SST, ice concentration)
  • WRF Single-Moment 6-Class
  • MYNN
 3.2.1 Antarctica
Wilson et al 2012 Evaluation of Polar WRF forecasts on the Arctic System Reanalysis Domain: 2. Atmospheric hydrologic cycle
  • NCEL (SST, boundary conditions)
  • SSMI (ice concentration)
  • WRF Single-Moment 6-Class
  • MYJ
 3.1.1 Arctic
Wilson et al 2011 Evaluation of Polar WRF forecasts on the Arctic System Reanalysis domain: Surface and upper air analysis
  • NCEL (SST, boundary conditions)
  • SSMI (ice concentration)
  • WRF Single-Moment 6-Class
  • MYJ
 3.1.1 Arctic
Kumar et al 2012 Implementation of Polar WRF for short range prediction of weather over Maitri region in Antarctica
  • GFS
  • Goddard
  • MYJ
 3.1.1 Antarctica
Hines et al 2015 Sea Ice Enhancements to Polar WRF
  • ERA-Interim
  • PIOMAS (ice thickness, snow depth)
  • Two-Moment Morrison
  • MYNN
 3.5 Arctic
Hines and Bromwich 2017 Simulation of Late Summer Arctic Clouds during ASCOS with Polar WRF
  • PIOMAS (ice thickness, snow depth)
  • Advanced Two-Moment Morrison
  • MYNN
 3.7.1 Arctic
Deb et al. 2016 An assessment of the Polar Weather Research and Forecasting (WRF) model representation of near-surface meteorological variables over West Antarctica
  • ERA-Interim
  • WRF Single-Moment 5-Class
  • MYNN
 3.5.1 Antarctica
Pilguj et al. 2018 Application of the Polar WRF model for Svalbard - sensitivity to planetary boundary layer, radiation and microphysics schemes
  • ERA-Interim
  • NPI High-res DEM (elevation)
  • Goddard
  • Purdue
  • WRF Single-Moment 6-class
  • Thompson
  • MYNN
  • YSU
  • MYJ
  • ACM2
 3.7.1 Svalbard
Bromwich et al. 2009 Development and testing of Polar Weather Research and Forecasting model: 2. Arctic Ocean
  • ERA40
  • SSMI (ice concentration)
  • Two-Moment Morrison
  • MYJ
 2.2 Alaska
Hines and Bromwich 2008 Development and Testing of Polar Weather Research and Forecasting (WRF) Model. Part I: Greenland Ice Sheet Meteorology*
  • ECMWF
  • Two-Moment Morrison
  • WRF Single-Moment 5-class
  • MYJ
  • YSU
 2.1.1 Greenland
Hines and Bromwich 2006 Development and Testing of Polar WRF*
  • Thompson 2-Moment
  • WRF Single-Moment
  • ETA
  • YSU
 2.1.1 Greenland
Hines et al. 2011 Development and Testing of Polar WRF. Part III: Arctic Land*
  • GFS
  • AMSR-E
  • Morrison 2-Moment
  • MYJ
 3.1.1 Alaska
Tatula et al. 2012 Evaluation of Polar WRF from Modeling the Atmospheric Boundary Layer over Antarctic Sea Ice in Autumn and Winter
  • ERA-Interim (sea ice concentration, initial conditions)
  • Morrison 2-Moment
  • MYJ
Determines spatially varying viscosities based on TKE, local gradients, and length scale 		3.1.1 Antarctica
Kim et al. 2019 Evaluation of wind forecasts over Svalbard using the high-resolution Polar WRF with 3DVAR
  • ERA-Interim
  • ASRv2 (ice)
  • WRF Single-Moment 5-Class
  • MYJ
Good for rapid variations in terrain height. 		3.8.1 Svalbard
Vignon et al. 2019 Microphysics of Snowfall Over Coastal East Antarctica Simulated by Polar WRF and Observed by Radar
  • ERA5
  • Morrison Two-Moment
  • Thompson
  • Milbrandt
  • P3 (considered, but not the focus)
These schemes were selected as they were found to have lower biases than the WRF single moment 6- and 5- class schemes.
  • MYNN
 3.9.1 Antarctica
Hines et al. 2019 Microphysics of summer clouds in central West Antarctica simulated by the Polar Weather Research and Forecasting Model (WRF) and the Antarctic Mesoscale Prediction System (AMPS)
  • GFS (AMPS forecast)
  • ERA-Interim (has been shown to be best over Antarctica)
  • WRF Single-Moment 5-class (AMPS forecast)
These schemes were selected as they were found to have lower biases than the WRF single moment 6- and 5- class schemes.
  • MYNN
  • MYJ (AMPS)
 3.9.1 Antarctica
Cho et al. 2020 Simulations of winter Arctic clouds and associated radiation fluxes using different cloud microphysics schemes in the Polar WRF: Comparisons with CloudSat, CALIPSO, and CERES
  • NCEP
  • WRF Single-Moment 5-class
  • Morrison double moment
These schemes are often used in polar simulations.
  • MYJ
 3.7.1 Arctic
Listowski and Lachlan-Cope 2017 The microphysics of clouds over the Antarctic Peninsula – Part 2: modelling aspects within Polar WRF
  • ERA-Interim (This reanalysis has been shown to produce the best skill when used with Polar WRF)
  • WRF Single-Moment 5-class (used in AMPS)
  • WRF Double-Moment 6-class (updated of above)
  • Morrison (used in ASR)
  • Thompson (handles snow well)
  • Milbrandt (has double-moment for all CCN and hydrometeors
  • MYJ
 3.5.1 Antarctica
Cai et al. 2018 The Polar WRF Downscaled Historical and Projected Twenty-First Century Climate for the Coast and Foothills of Arctic Alaska
  • ERA-Interim
  • WRF Single-Moment 5-class
Single-moment chosen to eliminate double-moment biases in spring and summer resulting in increased cloud formation. All schemes chosen to be best for long-term, high resolution simulations.
  • YSU
 3.5.1 Alaska