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