On August 3, 2015, a heavy rainfall occurred in Xi'an with floods and heavy losses. To better investigate the rainfall, highly temporal and spatial resolution radar data, mesoscale WRF model and its 3DVAR assimilation system were used. After assimilating the radar data, the precipitation area and intensity were improved, and the TS (True Shooting) and ETS (Effective True Shooting) scores of 10~25 mm precipitation increased respectively by 0.188 and 0.187 compared with no data assimilation. Then two experiments with and without urban surface (CITY and NoCITY) were carried out to explore the impact of urban surface on forecast of precipitation. In CITY, the average convective available potential energy (CAPE) increased and the convective inhibition energy (CIN) reduced, low-level wind speed became smaller, and vertical gradient of the pseudo-specific temperature was larger and the atmospheric became more unstable than those in NoCITY. The urban surface enhanced precipitation over the urban area; if the urban surface was substituted by a cultivated land, the precipitation area would shift southward approximately 0.2 latitudes.
ZHOU Linfan
,
ZHANG Shuwen
,
LI Shaoying
,
LI Yanlin
,
WANG wenqiang
. Impacts of Urban Surface on a Heavy Rainfall in Xi'an[J]. Plateau Meteorology, 2019
, 38(4)
: 773
-780
.
DOI: 10.7522/j.issn.1000-0534.2018.00117
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