Improvement of the K-profile Model for the Planetary Boundary Layer based on Large Eddy Simulation Data

By Y. Noh, W. Cheon, Song‐You Hong, Siegfried Raasch. 2003

741 citations recorded by the source corpus.

Subfields: Atmospheric Science, Computational Mechanics, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/ee797690214260297c6016d52d03e34d1c77c39b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. H. Shin
2. Song‐You Hong
3. Fuqing Zhang
4. Z. Meng
5. Jimy Dudhia
6. C. Melhauser
7. E. Bou‐Zeid
8. C. Talbot

In Computational Mechanics

1. H. Shin
2. Song‐You Hong
3. J. Pleim
4. Fuqing Zhang
5. Jouni Raäisaänen
6. Z. Meng
7. C. Melhauser
8. D. Nolan

In Environmental Engineering

1. H. Shin
2. Song‐You Hong
3. Fuqing Zhang
4. C. Melhauser
5. J. Pleim
6. Jouni Raäisaänen
7. E. Bou‐Zeid
8. Z. Meng

Citations in the corpus

• Tropical cyclogenesis sensitivity to environmental parameters in radiative–convective equilibrium (2007, methodology): “For the planetary boundary layer, we use the Yonsei University (YSU) scheme (Noh et al. 2003), which is an advancement of the Medium Range Forecast (MRF) scheme of Hong et al.”
• A Combined Local and Nonlocal Closure Model for the Atmospheric Boundary Layer. Part I: Model Description and Testing (2007, methodology): “…schemes simply add a gradient adjustment term ( h) to the eddy diffusion equation (Deardorff 1966; Troen and Mahrt 1986; Holtslag and Boville 1993; Noh et al. 2003), t z w z Kh z h , 1 where Kh is the vertical eddy diffusivity for heat, is the potential temperature, and w represents the kinematic…”
• The Method for Object-Based Diagnostic Evaluation (MODE) Applied to Numerical Forecasts from the 2005 NSSL/SPC Spring Program (2009, methodology): “Configuration of numerical models: NAM, North American Model of NCEP; MYJ, Mellor–Yamada–Janjić (Janjić 2002); and YSU, Yonsei University (Noh et al. 2003).”
• Nested Mesoscale Large-Eddy Simulations with WRF: Performance in Real Test Cases (2012, methodology): “The PBL dynamics in mesoscale runs are simulated using the Yonsei University PBL scheme (Noh et al. 2003; Hong et al. 2006)—referred to as YSU PBL.”
• Tests of an Ensemble Kalman Filter for Mesoscale and Regional-Scale Data Assimilation. Part III: Comparison with 3DVAR in a Real-Data Case Study (2008, methodology): “…the physical parameterization schemes include the Grell–Devenyi cumulus scheme (Grell and Devenyi 2002), the WRF Single Moment (WSM) sixclass microphysics with graupel (Hong et al. 2004), and the Yonsei State University (YSU) scheme (Noh et al. 2003) for planetary boundary layer (PBL) processes.”
• Evaluation of Planetary Boundary Layer Parameterizations in Tropical Cyclones by Comparison of In Situ Observations and High-Resolution Simulations of Hurricane Isabel (2003). Part I: Initialization, Maximum Winds, and the Outer-Core Boundary Layer (2009, background): “Some of the variability in the wind profiles may be due to the aircraft passing through large rolls in the hurricane boundary layer (Morrison et al. 2005; Katsaros et al. 2002; Nolan 2005; Zhang et al. 2008b).”
• Intercomparison of Planetary Boundary-Layer Parametrizations in the WRF Model for a Single Day from CASES-99 (2011, methodology): “2) (see Noh et al. 2003 for further details).”
• Representation of the Subgrid-Scale Turbulent Transport in Convective Boundary Layers at Gray-Zone Resolutions (2015, methodology): “Despite the uncertainty, we select the Deardorff’s method as it has been used and evaluated in several models (Noh et al. 2003; Kim et al. 2006).”
• Modeling and Forecasting the Onset and Duration of Severe Radiation Fog under Frost Conditions (2010, methodology): “Two PBL parameterization schemes have been selected: nonlocal first-order model by Yonsei University (YSU; Noh et al. 2003; Hong et al. 2006), and 1.”
• LARGE EDDY SIMULATION OF THE OCEAN MIXED LAYER: THE EFFECTS OF WAVE BREAKING AND LANGMUIR CIRCULATION (2004, methodology): “Moreover, a successful simulation of the ocean mixed layer by LES enables us to verify various assumptions used in ocean mixed layer models, as in the case of the LES of the atmospheric boundary layer (see, e.g., Ayotte et al. 1996; Noh et al. 2003a).”
• Practical and Intrinsic Predictability of Severe and Convective Weather at the Mesoscales (2012, methodology): “All four domains utilize 27 vertical terrain-following sigma levels with a model top of 100 hPa, the WRF Single-Moment 6-Class Microphysics Scheme (WSM6) with graupel (Hong et al. 2004), and the Yonsei State University (YSU) planetary boundary scheme (Noh et al. 2003).”
• A Description of the Advanced Research WRF Model Version 4 (2019, result): “The entrainment is made proportional to the surface buoyancy flux in line with results from studies with large-eddy models (Noh et al., 2003).”
• A sensitivity study of the WRF model in wind simulation for an area of high wind energy (2012, neutral): “…in Shin and Hong (2011), one of the major ingredients of the YSU algorithm is the explicit treatment of entrainment processes at the top of the PBL and at the inversion layer an asymptotic entrainment flux term proportional to the surface flux is included (see Noh et al., 2003 for more details).”