Development of an Improved Turbulence Closure Model for the Atmospheric Boundary Layer

By M. Nakanishi, H. Niino. 2009

1,049 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/9c21345b66a2a0f3b7c8732268c933e679ddcfaf

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. Shin-ichi Iga
2. Hiroaki Miura
3. Takemasa Miyoshi
4. Hirofumi Tomita
5. Masaki Satoh
6. Hisashi Yashiro
7. Branko Kosovic
8. Pedro A. Jimenez

In Environmental Engineering

1. Branko Kosovic
2. S. Ott
3. James Correia Jr.
4. Jason Ching
5. Takemasa Miyoshi
6. P. Volker
7. A. Martilli
8. Hisashi Yashiro

In Global and Planetary Change

1. Pedro A. Jimenez
2. Takemasa Miyoshi
3. Hisashi Yashiro
4. Tatsuya Seiki
5. Takashi Arakawa
6. S. Ott
7. James Correia Jr.
8. Jason Ching

Citations in the corpus

• 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).”
• Convectively Induced Secondary Circulations in Fine-Grid Mesoscale Numerical Weather Prediction Models (2014, background): “Now in mesoscale models, a typical PBL parameterization produces an eddy viscosity K(z) that acts only on vertical gradients of the predicted variables (e.g., Mellor andYamada 1982; Pleim 2007; Hong et al. 2006; Nakanishi and Niino 2009).”
• The Non-hydrostatic Icosahedral Atmospheric Model: description and development (2014, methodology): “For physical processes, we have actively introduced more sophisticated schemes, especially for cloud microphysics (Grabowski 1998; Tomita 2008b; Seiki and Nakajima 2014) and PBL schemes (Nakanishi and Niino 2006, 2009; Noda et al. 2010).”
• The Explicit Wake Parametrisation V1.0: a wind farm parametrisation in the mesoscale model WRF (2015, methodology): “The model simulations were run with the MYNN 1.5-order level 2.5 PBL scheme (Nakanishi and Niino, 2009), on which the WRF-WF scheme is dependent.”
• A Review of Planetary Boundary Layer Parameterization Schemes and Their Sensitivity in Simulating Southeastern U.S. Cold Season Severe Weather Environments (2015, background): “However, in some circumstances, the utility of local schemes can improve by invoking higher orders of closure (e.g., Mellor and Yamada 1982; Nakanishi and Niino 2009; Coniglio et al. 2013), though usually at a higher computational cost.”