Data management and Ocean data assimilation system at IAP Guangqing Zhou, Jiang Zhu, and colleagues Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences Beijing China
Information Science Center - The Research Support Systemof the Institute of Atmospheric Physics (IAP) • Duty: • Management and Maintenance: • Networks of IAP • Computer Systems • ScientificData • Library • Software technical support
Nteworks in IAP Management Branches Internet Centeral Switch Research Branches Supper Computers Servers
Computing Resources • IBM-P690 • Four Servers with total 128 CPUs, 192GB Memory, 2003 • Legend 1800 cluster • Cluster with 256 CPUs, 256GB Memory, 2003 • SGI Origin 2000 • 20 CPUs, 1997 • SGI Origin 3400 • Two Servers with 16 CPUs per machine • SGI Origin 300 Computation Servers • Disk Arrays • More than 30 TB
With these high performance computers, we develop climate system models, make the numerical simulations, and the weather and climate predictions, etc. IBM P690s Legend Cluster
Scientific Data System ULR : http://data.iap.ac.cn • Duties: • to assemble, Manage and Maintain Atmospheric and related sciences data • to develop an IT based virtual environment of atmospheric and environmental sciences. • Two main functions: • to offer numerical and pictorial data of weather, climate and environment for the researches in IAP and others; • to help common users to know the present situation and future tendency of weather and climate, and therefore extends meteorological knowledge to the public.
The Atmospheric Science Database real-time data system climatic data system
Real-time Data System 1. Download NCEP/NCAR global analysis products(1.0x1.0 degree grids every six hours daily) in real-time from NCAR ftp site 2. Receive surface observation reports and upper-air observation reports covering global meteorological stations, calculating upper-air physical variable products, typhoon track and objective forecast products ,city forecast products for 24 hours,numerical forecast products),radar image,etc. via satellite meteorological data receiving system from CMA
Climatic Data System 1. Total capacity: 1500GB 2. On-line: 1000GB 3. Category:
The Atmospheric Science Database real-time data data receiving and processing module data administration module data access module historical data LAS/ DODS/GDS Data Administration system DATABANK file Administration system download and receive data in real-time users
Data access 1. DATABANK system : Via WEB--metadata
Data access 2. DATABANK system: programming-getting data – Directly Access
Data access 3. DATABANK system: Via WEB--getting data and plots
A new data service platform is developing now: • GDS/DODS based on OPeNDAP • less functions, right functions • do not change users habit • search engine
GDS－data management page List all data files Fill the dimention info. and get the data Data access _ via GDS/DODS Select data file and list the general info
LAS - 2 dimensional visualization via web Get pict. after 4 steps 1.Select data set 2.Select variable 3.Customize output 3.Get picture 可定制内容丰富： 时间范围 空间区域 数据类型 图形格式 填色方案 ……..
The data access and analysis by using the client tools based on OPeNDAP
Ocean data assimilation supporting Chinese climate research A part of AIPO project Ocean-Atmosphere Interaction over the Joining Area of Asia and Indian-Pacific Ocean (AIPO) and Its Impact on the Short-Term Climate Variation in China
Aims of TRIPOD • Improving the existing 3DVAR ocean data assimilation system OVALS • Producing a 15-year ocean reanalysis product for Indian Ocean-Southern China Sea-West Pacific
Research works- Improving the existing 3DVAR system • Replace the explicit error covariance by the anisotropic recursive filter • Add new SST data to existing observation data base (XBT, ARGO and Altimetry) • Link it to IAP global ocean model (LICOM) to build a modeling/assimilation system
Research works- Producing a 15-year ocean reanalysis • Period: 1993-2007 • Resolution: less than 1/4o • Model: HYCOM • Assimilated data: XBT, ARGO, Altimetry, SST • Assimilation method: Ensemble Kalman Filter • Region:
Works has been done- Ensemble Kalman Filter in Pacific SST correlation between selected points and their vicinity
RMS errors (unit: ℃ and psu) a) surface temperature, b) surface salinity, c) temperature in the layer ( ), d) salinity in the layer ( ), e) temperature in the layer ( ), f) salinity in the layer ( ).
Internationalization • Expects more observations from the new Indian Ocean Observation System; • Actively involve with GODAE (Jiang Zhu is a Internation GODAE Steering Team member); • TRIPOD will be an Chinese contribution to GODAE to demonstrate its utility in Asian Monsoon climate research.