Journals
  Publication Years
  Keywords
Search within results Open Search
Please wait a minute...
For Selected: Toggle Thumbnails
Prov inc ia lM eteorolog ica l Network Users Informa tion Managemen t System
YANG Ju-Mei, JU Hong-Zhi, HAN Hai-Chao, LUO Xue-Mei, ZHANG  Meng
J4    2009, 27 (1): 93-96.  
Abstract1212)      PDF(pc) (491KB)(2011)       Save

Users information management system is a kind of database management system. The system is designed for fulfilling the actu
alwork demand of Gansu ProvincialMeteorological Information and Technic Support and Equipment Center. Based on c# and SQL
Server2000 database technology, it achieved a dynamic information management and digital information inquiry, and resolved p roblems
such as shortages of network resources and information of network users, and realized some functions such as adding, query, browse,
statistics, modifying, deleting, backup of IP adreesses of all users of the local area network and wide area network

Reference | Related Articles | Metrics
Advance of Meteorolog ica lMetada ta Applica tion
HU Wen-Chao, LI Xiao-Peng, HAN Hai-Chao
J4    2008, 26 (4): 12-15.  
Abstract1600)      PDF(pc) (340KB)(2247)       Save

The research p rogresses ofmetadata and metadata standard at home and meteorological departments were analyzed, and the main p roblems in meteorological data managing and sharing system at p resentwere discussed, and some p rospects ofmetadata requirementwere put forward.

Reference | Related Articles | Metrics
The Homogene ity Ana lysis on Clima te Ser ies of LanzhouM eteorolog ica l Sta tion
HAN Hai-Chao, HU Wen-Chao, LIU Ji-Lin, LIU De-Rong, YANG Ju-Mei, LI Xiao-Ping
J4    2008, 26 (3): 34-38.  
Abstract1420)      PDF(pc) (374KB)(2546)       Save

Homogeneity of the climate data is p recondition on studying climate change. This paper used SNTH technique to test the homogeneity of climate series of Lanzhou meteorlogical station, and the inhomogeneity test on meteorological factors such as p recip itation, average temperature, maximum temperature, minimum temperature, average wind speed and sunshine hourswas conducted; meanwhile, the reason was analyzed based on the station history files and metadata information. The results show that inhomogeneity existed in time series of p recip itation, average temperature, maximum temperature, minimum temperature and sunshine hours, and the main reasons were relocation of station, changes of instruments, changes in statistic methods and urban heat island effect.

Reference | Related Articles | Metrics