| タイトル | Comparison of Climatological Planetary Boundary Layer Depth Estimates Using the GEOS-5 AGCM |
| 本文（外部サイト） | http://hdl.handle.net/2060/20140013011 |
| 著者（英） | Mcgrath-Spangler, Erica Lynn; Molod, Andrea M. |
| 著者所属（英） | NASA Goddard Space Flight Center |
| 発行日 | 2014-01-01 |
| 言語 | eng |
| 内容記述 | Planetary boundary layer (PBL) processes, including those influencing the PBL depth, control many aspects of weather and climate and accurate models of these processes are important for forecasting changes in the future. However, evaluation of model estimates of PBL depth are difficult because no consensus on PBL depth definition currently exists and various methods for estimating this parameter can give results that differ by hundreds of meters or more. In order to facilitate comparisons between the Goddard Earth Observation System (GEOS-5) and other modeling and observational systems, seven PBL depth estimation methods are used to produce PBL depth climatologies and are evaluated and compared here. All seven methods evaluate the same atmosphere so all differences are related solely to the definition chosen. These methods depend on the scalar diffusivity, bulk and local Richardson numbers, and the diagnosed horizontal turbulent kinetic energy (TKE). Results are aggregated by climate class in order to allow broad generalizations. The various PBL depth estimations give similar midday results with some exceptions. One method based on horizontal turbulent kinetic energy produces deeper PBL depths in the winter associated with winter storms. In warm, moist conditions, the method based on a bulk Richardson number gives results that are shallower than those given by the methods based on the scalar diffusivity. The impact of turbulence driven by radiative cooling at cloud top is most significant during the evening transition and along several regions across the oceans and methods sensitive to this cooling produce deeper PBL depths where it is most active. Additionally, Richardson number-based methods collapse better at night than methods that depend on the scalar diffusivity. This feature potentially affects tracer transport. |
| NASA分類 | Geosciences (General) |
| レポートNO | GSFC-E-DAA-TN10397 |
| 権利 | Copyright, Distribution under U.S. Government purpose rights |
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