Research on Data Assimilation Methods of Multi-Space-Time Meteroligical and Hydrological Data

Abstract

Meteorological and hydrological data has the feature of multi-semantic space, multi-space-time, multi-scale and it has a diversed means to be acquired and storaged, which brings the diversity of multi-origin characteristics. This paper will adopt the method of data assimilation to study a variety of data models with different scales and the key technology the grid resolution spatial data integration in order to establish a meteorological and hydrological model of multi-source spatial data assimilation.