A scheme for calculating soil moisture content by using routine weather data K. Z. Shang1, S. G. Wang1, Y. X. Ma1, Z. J. Zhou2, J. Y. Wang1, H. L. Liu3, and Y. Q. Wang3 1Gansu Key Laboratory of Climate Change and Reducing Disaster, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, P.R. China 2National Meteorological Center, CMA, Beijing 100081, P.R. China 3Chinese Academy of Meteorological Sciences, CMA, Beijing 100081, P.R. China
Abstract. Soil moisture content is one of the most important
parameters as input conditions in forecasting model systems of dust storm,
but it can not be directly obtained from daily routine weather report. In
this paper, a scheme is developed to calculate the surface soil moisture
content in China by using both precipitation and evaporation. Precipitation
is directly from routine weather report, while evaporation is indirectly
calculated by using meteorological elements which are also from routine
weather report. According to the formula by Penman, evaporation can be
considered as a linear composition of dynamic evaporation and thermodynamic
evaporation caused by radiation. First, an equation for calculating daily
global radiation within China is given by using regression analysis and the
data of global radiation and cloud cover from 116 meteorological stations in
China. Then, an equation for calculating evaporation within China is given
by using regression analysis and the data of cloud cover, air temperature,
precipitation, relative humidity, and wind velocity from 701 meteorological
stations. Finally, a scheme for calculating soil moisture content within
China is established by using regression analysis and the soil moisture
content, precipitation, and evaporation at 79 agro-meteorological stations.
Validation results show that the forecasting accuracy of the Chinese dust
numerical model can be improved by using this scheme.
Citation: Shang, K. Z., Wang, S. G., Ma, Y. X., Zhou, Z. J., Wang, J. Y., Liu, H. L., and Wang, Y. Q.: A scheme for calculating soil moisture content by using routine weather data, Atmos. Chem. Phys., 7, 5197-5206, doi:10.5194/acp-7-5197-2007, 2007.