The impact of surface heterogeneity on the diurnal cycle of deep convection
The impact of surface heterogeneity on the diurnal cycle of deep convection
复制标题
地表非均质性对深层对流日循环的影响
DOI:
10.1002/qj.4371
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发表时间:
2022
影响因子:
8.9
通讯作者:
Harvey N
中科院分区:
文献类型:
--
作者:
Harvey N
Despite some recent improvements, major deficiencies remain in model simulations using parameterised convection in capturing both the phase and amplitude of the daily cycle of precipitation in tropical regions. The difficulties are particularly acute in regions of heterogeneous surface conditions, since the simulations need not only to respond appropriately to the local forcing from surface fluxes but also to capture the interactions with near‐surface mesoscale circulations. Here, we examine such a situation by means of idealised cloud‐resolving simulations of deep convection over a heterogeneous surface, performed using the cloud‐resolving simulation known as the Met Office NERC Cloud model (MONC). In these simulations, we show that precipitation forms preferentially over dry and warm patches (“DRY”) compared with wet and cold patches (“WET”), with the peak precipitation rates differing by a factor of approximately 4. The initiation of precipitation occurs approximately 1.5 hr earlier in the DRY patches compared with the WET patches. Moreover, within the WET and DRY patches there are marked differences in the spatial distribution of the precipitation. These cloud‐resolving simulations are then used as a benchmark to assess the behaviour of simulations using parameterised convection, performed using the idealised configuration of the Met Office Unified Model (MetUM). The MetUM simulations produce a response with some qualitative similarities to the cloud‐resolving simulations. In particular, although the simulations with parameterised convection initiate precipitation too early, they are capable of capturing the relative amounts of daily‐mean precipitation in the DRY and WET patches. We propose that the cloud‐resolving simulations could be used further to investigate the impact of fully interactive surface schemes and as benchmark simulations to evaluate new parameterisation schemes.
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影响因子:
4.3
作者:
John C. Kealy;G. Efstathiou;R. Beare
通讯作者:
R. Beare
影响因子:
6.8
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Wing AA;Stauffer CL;Becker T;Reed KA;Ahn MS;Arnold NP;Bony S;Branson M;Bryan GH;Chaboureau JP;De Roode SR;Gayatri K;Hohenegger C;Hu IK;Jansson F;Jones TR;Khairoutdinov M;Kim D;Martin ZK;Matsugishi S;Medeiros B;Miura H;Moon Y;Müller SK;Ohno T;Popp M;Prabhakaran T;Randall D;Rios-Berrios R;Rochetin N;Roehrig R;Romps DM;Ruppert JH Jr;Satoh M;Silvers LG;Singh MS;Stevens B;Tomassini L;van Heerwaarden CC;Wang S;Zhao M
通讯作者:
Zhao M
影响因子:
3.1
作者:
J. Lee;Yunyan Zhang;S. Klein
通讯作者:
J. Lee;Yunyan Zhang;S. Klein
影响因子:
6.8
作者:
Hagos S
通讯作者:
Hagos S
影响因子:
8.9
作者:
G. Shutts;M. E. Gray
通讯作者:
M. E. Gray