Guangqing Zhou, Jiang Zhu, and colleagues

Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences

Beijing China

Data management and Ocean data assimilation system at IAP

Duty:Management and Maintenance: • Networks of IAP• Computer Systems• Scientific Data• Library • Software technical support

Information Science Center

- The Research Support Systemof the Institute of Atmospheric Physics (IAP)

Nteworks in IAP

Research Branches

ManagementBranches

Internet

SupperComputersServers

CenteralSwitch

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

Duties: • to assemble, Manage and Maintain Atmospheric and related sciences data• to develop an IT based virtual environment of atmospheric and environmental sciences.

Scientific Data System

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.

ULR : http://data.iap.ac.cn

The Atmospheric Science Database

1. real-time data system

2. 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:

Category Domain Format content

1)precipitation China , global Station, grid China(336,160,760);Japan;NCEP;GPCP

2)temperature China Station China(336,160,760 stations)

3)ice,snow data Tibetan Plateau, Antarctic and Arctic area,global

Station,grid Tibetan Plateau snow;sea-ice covering Antarctic and arctic area;NCAR reanalysis daily sea-ice data

4)ocean data Global Grid,station NCAR sst(1x1,2x2,5x5degree);TOGA observation data;COADS data;Pseudo Wind Stress data over the Tropical Pacific (or Atlantic or Indian) Ocean

5) Reanalysis Data Global Grid NCEP/NCAR Reanalysis products (1948-2003, daily and monthly,17 pressure levels,2.5x2.5 degree); NCEP/DOE Reanalysis II products(1979-2002,daily, pressure levels, 2.5x2.5 degree);ECMWF 40-YR reanalysis (ERA-40)(1957-2002; 2.5x2.5 degree)

6)radiation data Global Grid NCAR OLR data; NCAR total cloud cover data;TOGA International Satellite Cloud Climatology Project data

7)atmospheric chemistry and ecological data

China, global Station,grid WMO － WDCGG observation data for greenhouse gases

; NASA ozone and aerosol data; GISS global 1-degree vegetation, land-use and albedo data; runoff,soil status

The Atmospheric Science Database

datareceiving

andprocessing

module

dataadministration

module

dataaccessmodule

downloadand

receivedata

in real-time

real-time

data

historicaldata

LAS/DODS/GDS

DataAdministration

system

usersusers

DATABANKfile

Administrationsystem

Data access1. DATABANK system : Via WEB--metadata

Data access

2. DATABANK system: programming-getting data – Directly Access

Data access3. DATABANK system: Via WEB--getting data and plots

Data access_ via FTP

A new data service platform is developing now:

• GDS/DODS based on OPeNDAP

• less functions, right functions

• do not change users habit

• search engine

Data access _ via GDS/DODS

GDS － data managementpage

List all data files

Select data file and list the general info

Fill the dimention info. and get the data

LAS - 2 dimensional visualization via web

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……..

Get pict. after 4 steps 1.Select data set2.Select variable

3.Customize output3.Get picture

The data access and analysis by using the client tools based on OPeNDAP

A part of AIPO projectA part of AIPO project

Ocean data assimilation supporting

Chinese climate research

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 TRIPODAims 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 worksResearch works- Improving the existing 3DVAR system- 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

Period: 1993-2007 Resolution: less than 1/4o

Model: HYCOM Assimilated data: XBT, ARGO, Altimetry, SST Assimilation method: Ensemble Kalman Filter Region:

Research worksResearch works- Producing a 15-year ocean reanalysis- Producing a 15-year ocean reanalysis

Works has been doneWorks has been done- Ensemble Kalman Filter in Pacific- 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 ( ).

24.00 24.00

27.02 27.02

InternationalizationInternationalization• 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.

Thank you ！