Dependence of the accuracy of precipitation and cloud simulation on temporal and spatial scales |
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| Authors: | Shouting Gao Xiaofan Li |
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| Institution: | [1]Laboratory of Cloud-Precipitation Physics and Severe Storms, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029 [2]Joint Center for Satellite Data Assimilation and NOAA/NESDIS/Center for Satellite Application and Research, Camp Springs, Maryland, USA |
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| Abstract: | Precipitation and associated cloud hydrometeors have large temporal and
spatial variability, which makes accurate quantitative precipitation
forecasting difficult. Thus, dependence of accurate precipitation and
associated cloud simulation on temporal and spatial scales becomes an
important issue. We report a cloud-resolving modeling analysis on this issue
by comparing the control experiment with experiments perturbed by initial
temperature, water vapor, and cloud conditions. The simulation is considered
to be accurate only if the root-mean-squared difference between the
perturbation experiments and the control experiment is smaller than the
standard deviation. The analysis may suggest that accurate precipitation and
cloud simulations cannot be obtained on both fine temporal and spatial
scales simultaneously, which limits quantitative precipitation forecasting.
The accurate simulation of water vapor convergence could lead to accurate
precipitation and cloud simulations on daily time scales, but it may not be
beneficial to precipitation and cloud simulations on hourly time scales due
to the dominance of cloud processes. |
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| Keywords: | temporal and spatial scales cloud and rainfall simulations cloud-resolving model initial conditions |
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