Using SMS-WARR system with rapid refresh technique, the sensitivity of three different types of observational data (Doppler radar reflectivity, radiosonde, AMDAR) to the numerical simulation of the severe convection event was analyzed.The impacts of these three different types of observations were discussed through a numerical simulation of a server convection event, which occurred in Shanghai on July 31 2011.Results showed that assimilating radar data was helpful for adjusting model initial hydrometer distributions, the simulated distribution of cloud was reasonable, the structure and intensity of the mesoscale convection system was adjusted to some extent, and the forecasted rainfall location and intensity were also improved.Although only one time piece of the radiosonde data was assimilated during the whole simulation cycle, the impact of radiosonde data assimilation on the model forecasting still can be kept and maintained for a long time.Results showed that the simulated height and wind fields at 500 hPa, 700 hPa and 850 hPa were improved after radiosonde data assimilation.Correspondingly, the simulated surface temperature was also improved.Results from AMDAR data assimilation experiment showed that the location and strength of synoptic situation are more close to the observations and the rainfall forecast was improved.
WANG Xiaofeng
,
WANG Ping
,
ZHANG Lei
,
LI Jia
,
XU Xiaolin
. Sensitivity Analysis of Multi-Source Observations in WRF-ADAS Rapid Refresh System[J]. Plateau Meteorology, 2017
, 36(1)
: 148
-161
.
DOI: 10.7522/j.issn.1000-0534.2016.00018
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