AN URBAN SPECIALIZED METEOROLOGICAL SERVICE SYSTEM

In this paper,the design idea,working process and functional characteristics of Nanjing Urban Specialized Meteorological Service System are systematically described.Some advanced techniques,such as Internet/Intranet(WWW)technique,Active Server Pages(ASP)design and Automatic Voice Composition etc.,are adopted here.By using Opening TCP/IP Agreement.the system realizes connecting the three networks of Novell,Windows NT and 9210 project (Meteorological Satellite Integrated Application Professional System)with ground meteorological special telephone line,thus the new process for collecting and processing data,making and disseminating specialized meteorological information,serving and managing users is established.

First Look of Surface Vegetation from the Advanced Geostationary Radiation Imager(AGRI) onboard Fengyun-4B

For many years, the status of surface vegetation has been monitored by using polar-orbiting satellite imagers such as Moderate Resolution Imaging Spectroradiometer(MODIS). However, limited availability of clear-sky samples makes the derived vegetation index dependent on multiple days of observations. High-frequency observations from the geostationary Fengyun(FY) satellites can significantly reduce the influence of clouds on the synthesis of terrestrial normalized difference vegetation index(NDVI). In this study, we derived the land surface vegetation index based on observational data from the Advanced Geostationary Radiation Imager(AGRI) onboard the FY-4B geostationary satellite. First, the AGRI reflectance of visible band and near-infrared band is corrected to the land surface reflectance by the 6S radiative transfer model. The bidirectional reflectance distribution function(BRDF) model is then used to normalize the AGRI surface reflectance at different observation angles and solar geometries, and an angle-independent reflectance is derived. The AGRI surface reflectance is further corrected to the MODIS levels according to the AGRI spectral response function(SRF). Finally, the daily AGRI data are used to synthesize the surface vegetation index. It is shown that the spatial distribution of NDVI images retrieved by single-day AGRI is consistent with that of 16-day MODIS data. At the same time, the dynamic range of the revised NDVI is closer to that of MODIS.