Articles | Volume 7, issue 6
Geosci. Model Dev., 7, 2599–2611, 2014
https://doi.org/10.5194/gmd-7-2599-2014
Geosci. Model Dev., 7, 2599–2611, 2014
https://doi.org/10.5194/gmd-7-2599-2014

Development and technical paper 10 Nov 2014

Development and technical paper | 10 Nov 2014

On the computation of planetary boundary-layer height using the bulk Richardson number method

Y. Zhang1, Z. Gao2, D. Li3, Y. Li1, N. Zhang4, X. Zhao1, and J. Chen1,5 Y. Zhang et al.
  • 1International Center for Ecology, Meteorology & Environment, Jiangsu Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China
  • 2State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
  • 3Program of Atmospheric and Oceanic Sciences, Princeton University, Princeton, NJ 08540, USA
  • 4School of Atmospheric Sciences, Nanjing University, Nanjing, 210093, China
  • 5Department of Geography, Michigan State University, East Lansing, MI 48824, USA

Abstract. Experimental data from four field campaigns are used to explore the variability of the bulk Richardson number of the entire planetary boundary layer (PBL), Ribc, which is a key parameter for calculating the PBL height (PBLH) in numerical weather and climate models with the bulk Richardson number method. First, the PBLHs of three different thermally stratified boundary layers (i.e., strongly stable boundary layers, weakly stable boundary layers, and unstable boundary layers) from the four field campaigns are determined using the turbulence method, the potential temperature gradient method, the low-level jet method, and the modified parcel method. Then for each type of boundary layer, an optimal Ribc is obtained through linear fitting and statistical error minimization methods so that the bulk Richardson method with this optimal Ribc yields similar estimates of PBLHs as the methods mentioned above. We find that the optimal Ribc increases as the PBL becomes more unstable: 0.24 for strongly stable boundary layers, 0.31 for weakly stable boundary layers, and 0.39 for unstable boundary layers. Compared with previous schemes that use a single value of Ribc in calculating the PBLH for all types of boundary layers, the new values of Ribc proposed by this study yield more accurate estimates of PBLHs.

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