Transcript 슬라이드 1

APEC Climate Center
Information System
Chi-Yung Francis Tam
3rd AMY Workshop
Yokohama, Japan
January 26, 2008
Goals of APEC Climate Center (APCC)
• Facilitating the share of high-cost climate data
and information
• Capacity building in prediction and sustainable
social and economic applications of climate
information
• Accelerating and extending socio-economic
innovation
Multi-Institutional Cooperation
Multi-Institutional Cooperation
Meteorological Service of Canada,
Environmental Canada
Beijing Climate Center
China Meteorological
Administration
Institute of Atmospheric
Physics, Chinese Academy
of Sciences
International Research Institute
for Climate and Society
Central Weather Bureau
Chinese Taipei
National Institute of
Meteorological Research
Procedure of MME Seasonal Prediction System
Collection : 17 Models
Quality Check
Composite: Deterministic Forecast (4 kinds of schemes)
Probabilistic Forecast
Graphic
Verification:
• Previous prediction
• Hindcast
Application:
• Index forecast
• Statistical downscaling
Outlook: Interpretation and Description of Global/Regional Prediction
Dissemination: Web information & Backup of the Data and Doc.
APCC Dynamical Climate Forecast System (Tier2)
Training Phase
N
S  O   ai ( Fi  Fi )
i 1
Forecast Phase
t=0
MME Real-time
Prediction
train
The weights are computed at each grid point by minimizing the function:
G   St  Ot 
t 0
2
APCC 2008 FMA Forecast (PMME)
APCC Information System
• APCC Data Service System (ADSS)
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Enhance data collection
Access control for MME data
Data Browser – Live Access Server
Search Engine for ADSS data
ADSS Client tools
• CLimate Information toolKit (CLIK)
– MME information for end-user
– Downscaling for end-user
Digital Service to start 2008
ADSS Registration page
ADSS Login page
Individual model and MME hind/forecasts will be made available to registered users
Registration process in ADSS
Send e-mail
ADSS
ADSS registration
page
Administrator
Allow registration
Request
authentication
registration
Send e-mail
connect
End user
Login OK
connect
ADSS
ADSS Login page
End user
Online browser for ADSS data based on Live Access
Server
Development of Search Engine for ADSS
ADSS Client tools
Client
Using End user tools for client
Keep track of client data list
Login with Account and PW
Communication with server
Server
Using receiving tools for server
Search and Calculation
(ADSS)
Receive client instruction
Transmit data
List of our data served on OPeNDAP server
List
Variables
Resolution
TRMM (Tropical Rainfall Measuring
Mission satellite) Microwave Imager
Sea Surface Temperature
Rain rate
All images cover a
global region extending
from 40S to 40N at a
pixel resolution of 0.25
deg (~25 km).
Jun. 2006 ~
present
QuikScat
The microwave scatterometer SeaWinds
was launched on the QuikBird satellite in
June 1999. We refer to this instrument as
QuikScat (or QSCAT) to distinguish it
from the nearly identical SeaWinds
scatterometer on Midori-II (ADEOS-II),
launched December, 2002.
Sea Surface Wind
3-day time averaged
files are byte arrays of
size 1440 x 720 x 3
(longitude, latitude,
parameter)
Jan. 2006 ~
NCEP
The NCEP/NCAR Reanalysis 1 project is
using a state-of-the-art analysis/forecast
system to perform data assimilation using
past data from 1948 to the present.
Air temperature
Sea level pressure
Winds
Geopotential heights
2.5 degree x 2.5 degree
global grids 17 Level
(144x73x17)
T62 Gaussian grid with
192x94 points
Jan. 1979 ~
NOAA
Daily, non-interpolated Outgoing
Longwave Radiation (OLR) data from
NCAR archives
Outgoing Longwave
Radiation
2.5 degree latitude x 2.5
degree longitude global
grid (144x73).
Jan. 1986 ~
MME
Climate prediction and hindcast datasets
from APCC participating models
850 hPa Temperature
Precipitation
500 hPa Geopotential
height
2.5 degree x 2.5 degree
global grids
Each season
TMI
Explanation
Periods
APCC Data Service System
Visiting ADSS
http://cis.apcc21.net:8080/opendap
Visiting ADSS
APCC Data Service System
Visiting ADSS
How to use
Example 1 :
Launch GrADS
Cut and paste “Data URL” into the
interface of the client software :
http://cis.apcc21.net:8080/opendap/TMI/Daily/Mean/2007/sst.nc
> gradsdods –cl ‘sdfopen Data URL’
Plot a map and download the digital
data
Example 2 :
Using
NCL
(NCAR
Command
Language)
Cut and paste “Data URL” into the
NCL Script
OPeNDAP works with addfile, addfiles,
and isfilepresent.
Plot a map and download the digital
data
CLimate Information tooKit (CLIK)
I. CLIK, Web Application based on Rails
CMS
DFT
ADSS Client
AFS
Search Engine + Database
APCC END User Tool Services
Climate Information tool Kit
(CLIK)
•Web Based
•Server-client architecture
•User driven
•Remote/Local calculations
APCC CLIK
I. CLIK, Web Application based on Rails
A portal for
APCC Climate Information tool Kit (CLIK)
Selected Models
Target Year/Month
MME Methods
COLA
2005
Jan.
NCEP
2006
Feb.
GDAPS
2007
Mar.
SPP
GCPS
2008
Apr.
SSE
MGO
May
MSC
Jun.
POAMA
July
HMC
Aug.
METRI
Sep.
JMA
Oct.
...
…
Deterministic
SCM
Selected Region
Lon.
Max
MRG
Probabilistic
GAU
Min
Lat.
Min
Max
•MME seasonal prediction
•Downscaling prediction
Contribution to AMY
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APCC/CliPAS Hindcast
WCRP/TFSP Dataset
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Coordinated Monsoon ISV Experiment
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AMY should consider making an organized analysis of existing hindcast datasets through APCC/CliPAS
project and the planned WCRP Task Force on Seasonal Prediction (TFSP) Climate-system Historical
Forecast Project (CHFP), identifying a range of suitable metrics relating to the AAM for application to the
outputs, to (a) assess seasonal prediction skills and identify common weakness of the current dynamic
predictions of the Asian monsoon, (b) determine the predictability of Indian Ocean Dipole which is an
objective of the Indian Ocean Panel, and (c) study the role of the MJO in the onset of the (1997) El Niño,
which is a joint effort between AAMP and Pacific Panel (PP).
In order to determine predictability and predictive skills of the Asian monsoon on intraseasonal time scales, a
coordinated sub-seasonal prediction activity on monsoon variability is recommended. The US-CLIVAR MJO
working group has designed metrics for evaluation of model simulations and measure of ISO prediction skill.
AMY should take advantage of these metrics for diagnostic analysis. The MJO WG has also attempted to
predict the lifecycle of MJO at several operational centers worldwide. AMY should encourage an organized
effort to pursue prediction of monsoon ISO. The main focus of AMY should be placed on boreal summer
monsoon onset, active/break phases and retreat of the summer monsoon. Both AGCMs and coupled GCMs
can be used. Both hindcast and real time prediction are encouraged.
High resolution modeling
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It is recommended that coordinated multi-high resolution model ensemble experiments be organized to
investigate sub-seasonal to interannual factors that influence extreme events, such as tropical cyclones,
severe droughts, devastating floods. The coordinated high resolution modeling proposed by Sieg Schubert
at NASA has been endorsed by CLIVAR/AAMP and APCC, and forms a very useful starting point for
developing high resolution modeling activity.
APCC Information System
On-line
Browser for
ADSS
CLIK
Search
Service
DB
ADSS
Web
Development Plans for 2008
DF
OPeNDAP
(Open-source Project for a Network Data Access Protocol)
• What the Opendap can do?
Opendap handles transport, translation and subsetting of
data. Opendap allows us to access remote data over the
internet :
– using familiar data analysis and visualization packages like GrADS, Matlab,
Ferret, IDL,... as if the data were on your computer
– without worrying about data storage formats, translating them on-the-flight
(including in ascii), if necessary
– accessing only the data of interest (extracting geographical area, time
series...)
Current OPeNDAP Server SPEC
• ADSS (APCC Data Service System)
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CPU : P4 2.66 GHz
RAM : 512 MB
HDD : 500 GB
OS : Cent OS 4.3 i386
Package : PGI fortran 6.1
NetCDF 3.6.1
NCARG 4.4.1
GrADS 1.9b4
APACHE 1.3.37
TOMCAT 5
Hyrax 1.10