Uncertainty Analysis of Radar Wind Retrieval with Data Assimilation
Ming Wei 1, 2+, Nan Li 1, Hao Kang 1, Yan Shi 3 and Junling Jiang 4
1Nanjing Sino-America Cooperative Remote Rensing Laboratory
2 Jiangsu Key Laboratory of Meteorological Disaster, Nanjing University of Information Science and Technology, Nanjing 210044, P.R. China
3 Institute of Heavy Rains, CMA, Wuhan 430074, P.R.China
4 Yantai Observatory, Yantai, Shangdong, 264003, P.R.China
Abstract. Uncertainty of Doppler radar retrieval wind with data assimilation is discussed. It is known that a single Doppler radar measures only the radial velocity of precipitation particles. The simple adjoint model retrieval with data assimilation is one of main methods. Experiment has been made with Yantai single Doppler radar snowstorm data at 2:00am Dec.6, 2005. For decreasing the error information of retrieval wind field, the retrieval uncertainty and the reasons of error are analyzed. In mathematics and physics, parameter retrieval is the inversion problem of the differential equation, which is always the ill-posed. Many factors could affect the retrieval precision. For minimizing the uncertainty of retrieval wind using adjoint model with data assimilation, we have to study its mathematics and physics characteristics for improving retrieval and getting more accuracy information.
Keywords: Doppler radar, wind retrieval, uncertainty, ill-posed, local minimum
In: Wan, Y. et al. (eds) Proceeding of the 8th international symposium on spatial accuracy assessment in natural resources and environmental sciences, World Academic Union (Press).