期刊
EARTH AND SPACE SCIENCE
卷 6, 期 5, 页码 818-835出版社
AMER GEOPHYSICAL UNION
DOI: 10.1029/2018EA000491
关键词
convection-permitting modeling; precipitation; West Africa; storm tracking
资金
- Natural Environment Research Council (NERC) VERA project [NE/M003574/1]
- NERC/DFIDAMMA-2050 project [NE/M020126/1]
- NERC/DFID [NE/M017214/1, NE/M017230/1]
- Royal Society Wolfson Research Merit Award (2014-2018)
- NERC [NE/M003574/1, NE/M017176/1, NE/M004295/1, NE/M017230/1, nceo020006, NE/M020126/1, NE/P021077/1, NE/M017214/1, NE/M020428/1] Funding Source: UKRI
Convection-permitting models perform better at representing the diurnal cycle and the intermittency of convective rainfall over land than parameterized-convection models. However, most of the previous model assessments have been from an Eulerian point of view, while key impacts of the rainfall depend on a storm-relative perspective of the system lifecycle. Here a storm-tracking algorithm is used to generate storm-centered Lagrangian lifecycle statistics of precipitation over West Africa from regional climate model simulations and observations. Two versions of the Met Office Unified Model with and without convection parameterization at 4-, 12-, and 25-km resolution were analyzed. In both of the parameterized-convection simulations, storm lifetimes are too short compared to observations, and storms have no preferred propagation direction; the diurnal cycle of initiations and dissipations and the spatial distribution of storms are also inaccurate. The storms in the convection-permitting simulations have more realistic diurnal cycles and lifetimes but are not as large as the largest observed storms. The convection-permitting model storms propagate in the correct direction, although not as fast as observed storms, and they have a much improved spatial distribution. The rainfall rate of convection-permitting storms is likely too intense compared to observations. The improved representation of the statistics of organized convective lifecycles shows that convection-permitting models provide better simulation of a number of aspects of high-impact weather, which are critical to climate impacts in this important geographic region, providing the high rainfall rates can be taken into account.
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