Surface clutter interference will be one of the important problems for the future of geostationary spaceborne weather radar (GSWR). The aim of this work is to provide some numerical analyses on surface clutter interference and part of the performance evaluation for the future implementation of GSWR. The received powers of rain echoes, land and sea surfaces from a radar scattering volume are calculated numerically based on the derived radar equations, assuming a uniform rain layer and appropriate land and sea surface scattering models. An antenna pattern function based on a Bessel curve and Taylor weighting is considered to approximate the realistic spherical antenna of a GSWR. The power ratio of the rain echo signal to clutter (SCR) is then used to evaluate the extension of surface clutter interference. The study demonstrates that the entire region of surface clutter interference in GSWR will be wider than those in tropical rainfall measuring mission precipitation radar (TRMM PR). Most strong surface clutter comes from the antenna mainlobe, and the decrease of clutter contamination through reducing the level of the antenna sidelobe and range sidelobe are not obvious. In addition, the clutter interference is easily affected by rain attenuation in the Ka-band. When rain intensity is greater than 10 mm/h, most of rain echoes at off-nadir scanning angles will not be interfered by surface clutter.

Abstract. Due to the importance of some function and performance vertification for the future geostationary space-borne precipitation radar (GSPR), a data simulation method based on the second airborne precipitation radar(APR-2) is introduced in this paper. In this method, the low resolution volume of GSPR is divided into finer resolution sub-volumes which are matched with the resolution of the APR-2 data, and the Doppler spectrums of each resolution volume of GSPR are constructed from the Gaussian shape and their intensity, average frequency and spectrum width are decided by the reflectivity and Doppler frequency of APR-2 data. Results indicate that the simulation method is feasible and simulation data can show some characteristics of GSPR echoes.

As the concept of Digital City becomes more and more important, people are inclined to building digital cities. In order to manage cities better, it is necessary to add remote monitoring to digital cities because it could solve the problem that something is not convenient for field survey though remote monitoring in digital cities. In addition, Google Earth(GE) is one of the most convenient platforms for building digital cities. Therefore, we propose a remote monitoring system based on GE. We employ the GIS searching & orientation module to search and locate places where users want to monitor on GE. Besides, the monitoring module is used to monitor places by updating image overlays on GE. And we utilize the voice guiding module to tell users the information about places in voice. Thus, it will be convenient for city management though remote monitoring based on GE.