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APEC Climate Center Information System
Chi-Yung Francis Tam
3rd AMY WorkshopYokohama, Japan
January 26, 2008
Goals of APEC Climate Center (APCC)Goals of APEC Climate Center (APCC)
• Facilitating the share of high-cost climate dataFacilitating the share of high-cost climate data and informationand information
• Capacity building in prediction and sustainableCapacity building in prediction and sustainable social and economic applications of climatesocial and economic applications of climate informationinformation
• Accelerating and extending socio-economicAccelerating and extending socio-economic innovationinnovation
SS
Multi-Institutional CooperationMulti-Institutional Cooperation
Multi-Institutional CooperationMulti-Institutional Cooperation
Meteorological Service of Canada,Environmental Canada
Beijing Climate CenterChina Meteorological Administration
Institute of Atmospheric Physics, Chinese Academy of Sciences
Central Weather Bureau Chinese Taipei
International Research Institute for Climate and Society
National Institute of Meteorological Research
Procedure of MME Seasonal Prediction SystemProcedure of MME Seasonal Prediction System
Collection : 17 Models
Quality Check
Composite: Deterministic Forecast (4 kinds of schemes)
Probabilistic Forecast
GraphicVerification:• 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)APCC Dynamical Climate Forecast System (Tier2)
Training Phase Forecast Phase
N
iiii FFaOS
1
)(
t=0MME Real-time
Prediction
The weights are computed at each grid point by minimizing the function:
train
ttt OSG
0
2
APCC 2008 FMA Forecast (PMME)
APCC Information System
• APCC Data Service System (ADSS)– 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 pageADSS Registration page
ADSS Login pageADSS Login page
Individual model and MME hind/forecasts will be made available to registered users
Registration process in ADSS
connect
registration
Send e-mail
ADSS ADSS registration page
AdministratorRequest authentication
Sen
d e
-mai
l
Allo
w r
egis
trat
ion
ADSS Login page
Login OK
connect
ADSS
End user
End user
Online browser for ADSS data based on Live Access Server
Development of Search Engine for ADSS
ADSS Client tools
Keep track of client data list
Communication with server
Search and Calculation
Transmit data
Client
Server
(ADSS)
Using End user tools for client
Login with Account and PW
Using receiving tools for server
Receive client instruction
List of our data served on OPeNDAP server
List Explanation Variables Resolution Periods
TMI 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
APCC Data Service System
Visiting ADSSVisiting ADSS
http://cis.apcc21.net:8080/opendap
Visiting ADSSVisiting ADSS
APCC Data Service System
Visiting ADSSVisiting ADSS How to useHow to use
Example 1 :Launch GrADSCut 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 tool Kit(CLIK)
•Web Based•Server-client architecture
•User driven•Remote/Local calculations
AFS
CMS
DFT
AD
SS
Cli
ent
Sea
rch
En
gin
e +
Dat
abas
e
I. CLIK, Web Application based on RailsI. CLIK, Web Application based on Rails
APCC END User Tool Services
CLimate Information tooKit (CLIK)
I. CLIK, Web Application based on RailsI. CLIK, Web Application based on Rails
APCC Climate Information tool Kit (CLIK)
Selected Models
COLA
NCEP
GDAPS
GCPS
MGO
MSC
POAMA
HMC
METRI
JMA
...
Target Year/Month
2005
2006
2007
2008
Jan.
Feb.
Mar.
Apr.
May
Jun.
July
Aug.
Sep.
Oct.
…
MME Methods
Deterministic
SCM
MRG
SPP
SSE
Probabilistic
GAU
Selected Region
Lon. Min
Max
Lat. Min
Max
A portal for
•MME seasonal prediction
•Downscaling prediction
APCC CLIK
Contribution to AMY
• APCC/CliPAS Hindcast
• WCRP/TFSP Dataset– 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).
• Coordinated Monsoon ISV Experiment – 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 – 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
Development Plans for 2008
Web
DBDFCLIK
ADSS
On-lineBrowser for
ADSS
SearchService
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)
– 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