An Improved Mellor–Yamada Level-3 Model with Condensation Physics: Its Design and Verification

By M. Nakanishi, H. Niino. 2004

735 citations recorded by the source corpus.

Subfields: Atmospheric Science, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/412899b3124233d196d74957b3165c958b977c28

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Citations in the corpus

A Cumulus Parameterization with State-Dependent Entrainment Rate. Part I: Description and Sensitivity to Temperature and Humidity Profiles (2010, methodology): “…for radiation with 111 channels (Sekiguchi and Nakajima 2008), level 2.5 of the Mellor–Yamada turbulence scheme (Mellor and Yamada 1982) revised by Nakanishi and Niino (2004), an orographic gravity wave drag, the land surface model Minimal Advanced Treatments of Surface Interaction and Runoff…”
Nonhydrostatic Atmospheric Models and Operational Development at JMA (2007, methodology): “As for the turbulent model, a Mellor and Yamada level 3 closure model (MY3; Nakanishi and Niino 2004, 2006) will be first implemented as the operational NWP model to reduce model 7 Similar idealized experiment for hybrid coordinate is given in Schar et al. (2002). errors in boundary layer.”
Influence of grid aspect ratio on planetary boundary layer turbulence in large-eddy simulations (2015, methodology): “A RANS (Reynolds Averaged Navier–Stokes Simulation) turbulence model (Nakanishi and Niino, 2004, level 2.5) – Radiation –”
Verification of Convection-Allowing WRF Model Forecasts of the Planetary Boundary Layer Using Sounding Observations (2013, background): “Furthermore,MYNNemploysmixing length formulations that are more flexible across the stability spectrum compared toMYJ and QNSE (Nakanishi 2001; Nakanishi and Niino 2004, 2009).”
A Review of Planetary Boundary Layer Parameterization Schemes and Their Sensitivity in Simulating Southeastern U.S. Cold Season Severe Weather Environments (2015, background): “Among other texts, Stensrud (2007) and Stull (1988) provide explanations of the process by which turbulence is mathematically represented in numerical weather prediction models.”
Deep moist atmospheric convection in a subkilometer global simulation (2013, methodology): “The boundary layer turbulence was solved by the Mellor-Yamada-type model [Nakanishi and Niino, 2004; Noda et al., 2010], and the surface fluxes were calculated by the scheme proposed by Louis [1979].”