The Nature, Theory, and Modeling of Atmospheric Planetary Boundary Layers
By A. Baklanov, B. Grisogono, R. Bornstein, Larry Mahrt, Sergej Zilitinkevich, P. Taylor, S. Larsen, Mathias W. Rotach, H. Fernando. 2011
142 citations recorded by the source corpus.
Subfields: Atmospheric Science, Earth-Surface Processes, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/dc9f2f23bd4f4f144441fe33d11edc399f115597
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
- Albert A. M. Holtslag
- Anton Beljaars
- Gert-Jan Steeneveld
- B. Grisogono
- B. Galperin
- V. Wiel
- P. Baas
- Harm J. J. Jonker
In Earth-Surface Processes
In Global and Planetary Change
- Albert A. M. Holtslag
- Gert-Jan Steeneveld
- B. Grisogono
- B. Galperin
- V. Wiel
- P. Baas
- Harm J. J. Jonker
- Jielun Sun
Citations in the corpus
- The Minimum Wind Speed for Sustainable Turbulence in the Nocturnal Boundary Layer (2012, background): “In the case of weak winds and clear skies, this maximum can be significantly smaller than the net radiative loss minus soil heat transport.”
- Review of wave‐turbulence interactions in the stable atmospheric boundary layer (2015, background): “These submeso motions may intermittently create sufficient shear to produce local patches of turbulence in the SABL [e.g., Baklanov et al., 2011; Mahrt et al., 2012].”
- Exchange Processes in the Atmospheric Boundary Layer Over Mountainous Terrain (2018, background): “Exchange processes at the land surface and within the atmospheric boundary layer (ABL) are represented in numerical weather prediction (NWP) and climate simulation models by empirically tuned and inherently uncertain parameterization schemes [1,2].”
- Stable Atmospheric Boundary Layers and Diurnal Cycles: Challenges for Weather and Climate Models (2013, methodology): “, Louis 1979; Beljaars and Holtslag 1991; Fernando and Weil 2010; Baklanov et al. 2011). It has also been known for quite some time that numerical weather prediction and climate models show great sensitivity to the model mixing formulations in these conditions. Viterbo et al. (1999) performed a sens”