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APEC Climate Center Information System

APEC Climate Center Information System. Chi-Yung Francis Tam 3 rd 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

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APEC Climate Center Information System

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  1. APEC Climate Center Information System Chi-Yung Francis Tam 3rd AMY Workshop Yokohama, Japan January 26, 2008

  2. 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

  3. S Multi-Institutional Cooperation

  4. 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 Multi-Institutional Cooperation

  5. Procedure of MME Seasonal Prediction System Collection : 17 Models Quality Check Composite: Deterministic Forecast (4 kinds of schemes) Probabilistic Forecast • Verification: • Previous prediction • Hindcast • Application: • Index forecast • Statistical downscaling Graphic Outlook: Interpretation and Description of Global/Regional Prediction Dissemination: Web information & Backup of the Data and Doc.

  6. APCC Dynamical Climate Forecast System (Tier2) Training Phase Forecast Phase t=0 MME Real-time Prediction The weights are computed at each grid point by minimizing the function:

  7. APCC 2008 FMA Forecast (PMME)

  8. 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

  9. ADSS Registration page ADSS Login page Digital Service to start 2008 Individual model and MME hind/forecasts will be made available to registered users

  10. Registration process in ADSS Send e-mail connect Request authentication registration Administrator End user ADSS ADSS registration page Send e-mail Allow registration Login OK connect End user ADSS Login page ADSS

  11. Online browser for ADSS data based on Live Access Server

  12. Development of Search Engine for ADSS

  13. Using End user tools for client Login with Account and PW Keep track of client data list Communication with server Client Search and Calculation Transmit data Server (ADSS) Using receiving tools for server Receive client instruction ADSS Client tools

  14. Listof our data served on OPeNDAP server

  15. APCC Data Service System Visiting ADSS Visiting ADSS http://cis.apcc21.net:8080/opendap

  16. 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

  17. CLimate Information tooKit (CLIK) I. CLIK, Web Application based on Rails APCC END User Tool Services Search Engine + Database ADSS Client AFS • Climate Information tool Kit • (CLIK) • Web Based • Server-client architecture • User driven • Remote/Local calculations CMS DFT

  18. APCC Climate Information tool Kit (CLIK) Selected Models Target Year/Month MME Methods Selected Region Lon. Min Max COLA NCEP GDAPS GCPS MGO MSC POAMA HMC METRI JMA ... 2005 2006 2007 2008 Jan. Feb. Mar. Apr. May Jun. July Aug. Sep. Oct. … Deterministic SCM MRG SPP SSE Probabilistic GAU Min Max Lat. APCC CLIK I. CLIK, Web Application based on Rails • A portal for • MME seasonal prediction • Downscaling prediction

  19. 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.

  20. Thank You !

  21. Development Plans for 2008 On-line Browser for ADSS Search Service DB CLIK DF ADSS Web APCC Information System

  22. 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...)

  23. 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

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