Single‐Column Model Simulations of Subtropical Marine Boundary‐Layer Cloud Transitions Under Weakening Inversions
Single‐Column Model Simulations of Subtropical Marine Boundary‐Layer Cloud Transitions Under Weakening Inversions
复制标题
弱逆温条件下副热带海洋边界层云转变的单柱模型模拟
DOI:
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发表时间:
2017
期刊:
影响因子:
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通讯作者:
Kuan Xu
中科院分区:
文献类型:
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作者:
R. Neggers;A. Ackerman;W. Angevine;E. Bazile;I. Beau;P. Blossey;I. Boutle;C. D. Bruijn;A. Cheng;J. V. D. Dussen;J. Fletcher;S. D. Gesso;A. Jam;H. Kawai;S. Cheedela;V. Larson;M. Lefebvre;A. Lock;N. R. Meyer;S. Roode;WC de Rooy;I. Sandu;H. Xiao;Kuan Xu
Results are presented of the GASS/EUCLIPSE single‐column model intercomparison study on the subtropical marine low‐level cloud transition. A central goal is to establish the performance of state‐of‐the‐art boundary‐layer schemes for weather and climate models for this cloud regime, using large‐eddy simulations of the same scenes as a reference. A novelty is that the comparison covers four different cases instead of one, in order to broaden the covered parameter space. Three cases are situated in the North‐Eastern Pacific, while one reflects conditions in the North‐Eastern Atlantic. A set of variables is considered that reflects key aspects of the transition process, making use of simple metrics to establish the model performance. Using this method, some longstanding problems in low‐level cloud representation are identified. Considerable spread exists among models concerning the cloud amount, its vertical structure, and the associated impact on radiative transfer. The sign and amplitude of these biases differ somewhat per case, depending on how far the transition has progressed. After cloud breakup the ensemble median exhibits the well‐known “too few too bright” problem. The boundary‐layer deepening rate and its state of decoupling are both underestimated, while the representation of the thin capping cloud layer appears complicated by a lack of vertical resolution. Encouragingly, some models are successful in representing the full set of variables, in particular, the vertical structure and diurnal cycle of the cloud layer in transition. An intriguing result is that the median of the model ensemble performs best, inspiring a new approach in subgrid parameterization.