THESIS
2014
xvii, 99 pages : illustrations (some color), maps (some color) ; 30 cm
Abstract
Numerical weather prediction uses mathematical models of the atmosphere and
oceans to predict the weather based on current weather conditions. In order
to obtain realistic weather predictions, they require accuracy initial conditions
(ICs) and boundary conditions (BCs) to drive the meteorological model. In
this study, we focus on the surface heat exchange which depends strongly with
soil composition and its moisture. Conventionally, the soil moisture is obtained
from the NCEP FNL (Final) Operational Global Analysis data which are on
1-degree by 1-degree grids prepared operationally every six hours. The default
soil map is generated from FAO-UNESCO soil classification system which was
originally a soil legend correlating the variety of soil surveys throughout the
world. The two...[
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Numerical weather prediction uses mathematical models of the atmosphere and
oceans to predict the weather based on current weather conditions. In order
to obtain realistic weather predictions, they require accuracy initial conditions
(ICs) and boundary conditions (BCs) to drive the meteorological model. In
this study, we focus on the surface heat exchange which depends strongly with
soil composition and its moisture. Conventionally, the soil moisture is obtained
from the NCEP FNL (Final) Operational Global Analysis data which are on
1-degree by 1-degree grids prepared operationally every six hours. The default
soil map is generated from FAO-UNESCO soil classification system which was
originally a soil legend correlating the variety of soil surveys throughout the
world. The two inputs have coarse resolutions and appear the lack of accuracy,
in particular the areas in China. We updated the China soil map with data
from the Beijing Normal University with resolution down to 1km by 1km and
proposed an alternative method for soil moisture initialization. The simulations
of the WRF model showed that the spinning-up soil moisture improve the near-surface temperature prediction by using different soil moisture initialization. By
performing process analysis, we are able to explain how the spinning-up soil
moisture improve the near-surface temperature and the subsequent effect on air
quality modelling by using the box model.
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