New Tools for Disseminating Weather and Climate Products and Services Byong-Lyol LEE National Center for AgroMeteorology Seoul National University CALS.

New Tools for Disseminating

Weather and Climate Products and Services

Byong-Lyol LEE

National Center for AgroMeteorologySeoul National University CALS

Republic of Korea

International Workshop of CAgM XV, 12~14 July, 2010, Belo Horizonte, Brazil

Products/ApplicationsProducts/Applications

MonitoringMonitoring CommunicationsCommunications

User InterfaceUser Interface

Contents

I. Introduction

II. Issues & Targets

III. WMO Requirements

IV. Implementation Plan

V. Summary

I. Introduction

4

Farm management system

Resource ManagementResource Management

Productivity, stability, quality, sustainability

soil, water, biome, infrastructure, human resource, etc.

Emergence response system

Risk ManagementRisk Management

Early-warning, advisory, forecast, outlook, prediction, prognosis, projection

natural hazards, human-induced risks, etc.

Weather : Resources or Hazards ?Up to Us !Up to Us !

Weather : Resources or Hazards ?Up to Us !Up to Us !

AgroMeteorology = [Sun + Wind + Rainfall] +Plants => Products => Green Technology Green Technology using weather resources => Green Growth : 2nd Green Revolution ?

II. Issues & Targets

Implementation TargetsImplementation Targets Global : mitigation - healthy Earth Regional : disasters - early warning National : adaptation - sustainability Rural : emergence response - safety & stability Farming : practices - productivity & economy

Global IssuesGlobal Issues Climate change Economic Crisis WTO/FTA

Climate Change IssuesClimate Change Issues

Uncertainty in prediction Intrinsic Variability Two sides of Coins

2 FEW 2 FEW Resources Resources (too few) Food, Forest, Energy Water

Implementation Stages Implementation Stages

Short-term : ~ 2 years Emergence responses

- Farming level

Mid-term : ~10 yearsAdaptation schemes

- National level

Long-term : ~30 years Mitigation implementations

- Global level

Information Information

RequirementsRequirements

Legacy climate data

Real time observation

NWP-based Forecasts

short-, medium-, long-range

Climate change

projection

End-Users/StakeholderEnd-Users/Stakeholder

ss

Publics

Police maker

Researcher

Extension service

Farmer’s cooperation

Industries associated

Rural residents

FarmersFarmers

Farmer’s Farmer’s

RequirementsRequirements

- Accurate information

- Site-specific information - Timely information delivery - Easy access to information - Understandable by farmers - Systematic service provision - On-site consulting - Capacity-building

Information Tools AWSs Internet/Web TCP/IP WiFi/WiMax Mobile/Smart phone DBMS NWPs AgModels GIS/RS Media - Radio, TV Bulletins

Legacy & Novel technologies

Information

Framework

Instrumentation• Monitoring Communication Networks• ArchivingArchiving Data Management• ProcessingProcessing Analysis/Prognosis• DisseminatingDisseminating Communication Interface• FeedbacksFeedbacks User-oriented service

Service Infrastructure

Crucial Bottleneck at Crucial Bottleneck at

levelslevels Global : S & T Enhancement - resource mobilization Regional : Collaboration - trans-boundary activity National : Infrastructure - joint organization Rural : Expertise - capacity building Farming : Accessibility - diverse dissemination

Implementation Implementation

StrategyStrategy Global

Fund raising , Restructuring

Regional RA-specific AgMet program

National Resource sharing system Rural

Diverse E/T programs Farming

Feasible communications

1. Improving Service Quality/Delivery① EC for High Quality resources to meet user

requirements② EC for Risk Management against natural hazards

2. Advancing Science & Technology with Implementing Applications③ EC for better meteorological information under climate

change/variability④ EC for earth system monitoring relevant to meteorological information

3. Strengthening Capacity-building⑥ EC to fulfill mandates in emerging members

4. Establishing Closer Collaborations⑦ Better partnership and cooperation at national & global levels

5. Strengthening Good Governance⑧ Effective and efficient Organization

⑤ EC for active participation in global S & T development in meteorology

III. WMO Requirements

http://www.wmo.int/pages/about/spla_en.htmlER : Expected ResultsST : Strategic ThrustsEC : Enhanced Capabilities

Products/ApplicationsProducts/Applications

MonitoringMonitoring CommunicationsCommunications

User InterfaceUser Interface

① High Quality resources to meet user requirements

1.Improving Service Quality/Delivery

① High Quality resources to meet user requirements

1.Improving Service Quality/Delivery

① High Quality resources to meet user requirements

1.Improving Service Quality/Delivery

Real Time data &NWP outputs

Near real-time operation

Rice blast forecastmodel

Web/Mobile-basedinformation delivery

② Risk Management against natural hazards

1.Improving Service Quality/Delivery

② Risk Management against natural hazards

1.Improving Service Quality/Delivery

http://dmss.ksc.re.kr/dmss.html

② Risk Management against natural hazards

1.Improving Service Quality/Delivery

③ Better met. information under climate change/variability

2.Advancing S&T with Implementing Applications

④ Earth System monitoring relevant to met. information

2.Advancing S&T with Implementing Applications

⑤ Active in global S & T development in meteorology

2.Advancing S&T with Implementing Applications

⑤ Active in global S & T development in meteorology

2.Advancing S&T with Implementing Applications

⑤ Active in global S & T development in meteorology

2.Advancing S&T with Implementing Applications

23

uMeteo-K uMeteo-K testbedtestbed

KISTI KISTI ClusterCluster

KT KT ClusterCluster

KOREN

TEIN

KISTI KISTI ClusterCluster

KT Cluster

KISTI Cluster

⑤ Active in global S & T development in meteorology

2.Advancing S&T with Implementing Applications

⑥ Fulfill mandates in CB for emerging members

3.Strengthening Capacity-building

⑥ Fulfill mandates in CB for emerging members

3.Strengthening Capacity-building

⑦ Better partnership at national & global levels

4.Establishing Closer Collaborations

⑦ Better partnership at national & global levels

4.Establishing Closer Collaborations

Collaboration with Universities

To Strengthen Expertise and to bring up Scientist to meet future requirements

Integration of research groups on CC Science

Expanding existing projects

Links to GAIA Project & APCC

Outcomes expected

Research Hub for CC Science

Expanding Brain Pool

Leading roles in CC Science

Outreach and Strategy program

International Hub for Earth System

Launch of National Center for AgroMeteorolgy as a frameworkFour institutions (KMA, RDA, KFS, SNU) made MoU for collaborations in AgMet

⑧ Effective and efficient Organization

5.Strengthening Good Governance

Submission of WIS-DCPC dedicated to WAMIS/CAgM

Collaborations with associated institutions in implementations Restoration of WAMIS mirror server at KMA with advanced network (Giga bit) Development of prototype user interface for Grid Portal Case study on linkage between NWP output and Applications Downscaling of NWP output to meet requirements from AgModels

Securing ICT resources to support WAMIS Grid Portal for

resource sharing

Agreement on ICT resource support by KISTI for CAgM KREONET (Giga LAN) was linked without any charge to NCAM Linux Clusters and other computer resources will be arranged when needed High volume of information storage will be provided with DBMS Plan to make MoU among CAgM/KISTI/NCAM

IV. Implementation Plan

30

Mobilizing Agricultural tools available for CAgM activities

DWD & KMA have a bilateral agreement on AMBER Prof. Hoogenbum agreed on joint development of DSSAT as an open source NARC/Japan is willing to provide JAVA based AgModels

Joint IT training program in AgroMeteorology for capacity building

KOICA is going to support for the expanded AgMet ICT training course RTC-Nanjing made MoU on future joint training programs in AgMet Seoul National University will provide training experts and facilities relevant KMA is going to offer hosting of international training center for ICT training

MoU for Joint projects in AgroMeteorology with CAgM NCAM/SNU & ESTC/Goerge-Mason made MoU on collaborations in AgMet

IV. Implementation Plan

Web Portal information sharing

XML-based service : standard schema developmentMachine translation : multi-lingual interfacesOperational applications based on Web service architectureTutorial interfaces for real practices

GRID Portal Resource sharing

Forecast-based AgMet Services for researcher / extensionBenchmarking on AMBER (DWD), expanding with DSATNCAR (GDAS, MM5), DWD (GME, LM) as NWPsSuper ensemble of Seasonal Forecasts (APCC / KMA, etc.)GISC / DCPC dedicated to WAMIS will be established (NCAR, DWD)LIS (NASA) as a framework for LSM (GDS / LAS + GRID)

IV. Implementation Plan

Thank You!

Pre-WS of CAgM XV, 12~14 July, Belo Horizonte, Brazil

V. Summary Advanced ICTs such as information networks, databases, simulation

models, tools for GIS, RS for agrometeorology are an imperative in strengthening national agrometeorological services,

particularly in light of climate change and variability. Sharing of resources including IT and human resources available among countries is a promising solution to impending food and water security problems that confront member countries,

where limited IT resources present the most critical barrier in improving operational AgroMeteorology services.

In addition, the increasing importance of agrometeorological data, such as surface vegetation and soil moisture status from agronomy sectors, is receiving more public recognition than ever before.

There is a growing interest in understanding the predictability of weather and climate forecasts using NWP models because it feeds back into the weather and climate systems through atmosphere-biosphere interactions.

Agrometeorological information sharing among member countries thus emerges as one of the most vital and dynamic ingredients for strengthening national weather services not only for sustainable Agriculture, but also for enhanced accuracy of weather/climate forecasts in the future.

The provision of both data/information and computer resources for models, tools, and products for operational services, specialized or dedicated resource frameworks has great potential for facilitating resource sharing among CAgM member countries,

which should then be able to make better use of remotely located resources for agrometeorological services at the national/regional level, especially when providing interactive forecast-based agrometeorological services simply using the Internet or mobile phones.

Given an advanced resource sharing environment together with legacy technology for high-performance computing, large-scale diverse data and analysis servers,

it will be very useful to have an IT framework for end-users that allows for interactive remote operation of their service development and deployment based on NWP forecasts. Specific interfaces will enable interactive operation for region-specific applications that require and provide

The ideal system would consist of 1) servers for simulation models, databases, and system analysis, 2) a high-speed network frame, 3) web service interfaces for simulation models with near-real-time DB access, 4) multi-tiered interface architecture in a distributed computing environment, 5) wireless communications including mobile phones and the media.

V. Summary

The system should be capable of handling diverse data sources, formats, contents from synoptic data, forecasts(S,M,L), prognosis, adaptation data, simulation models for crops, resource management, and farm management among others.

It must also accommodate derived products such as detailed climate change scenarios and regional food demand/production predictions. It has been noted that WAMIS needs highly elaborated data handling and distribution mechanisms, including metadata, because it comprises a wide variety of contents in different formats depending on the provider or data manipulation process.

While WIS evolves to provide a single entry point for any data request, CAgM is trying to extend its service to member countries under the WIS umbrella by implementing WAMIS into a Grid portal to facilitate the sharing of computer resources for the improvement of members’ operational agrometeorology services.

Since operational agrometeorology requires diverse data and information from different disciplines for better services, future information systems for agrometeorology should consider accommodating diverse communications technologies for information and resource dissemination as well.

V. Summary

KMA has been providing active support for East African member countries through its cooperation with WMO and KOICA. A variety of projects are currently under way. These WMO-KOICA joint programs have been of invaluable

help in facilitating KMA's own assistance projects for developing Members.

Information and Communication Technologies for Meteorological Service (since 2006)

Advanced Analysis of COMS (Communication, Ocean, and Meteorological Satellite) Data (since 2007)

Improvement of Meteorological Disaster Responsiveness for African Countries (since 2009)

Contribution from Korea

KMA-KOICA-WMO joint project on meteorological support for climate change adaptation and public health in East Africa (July 2009) Development of a climate early warning system for 10 East

African countries (2009-2010; USD 400,000) Meteorological support for public health to prevent climate

change associated spread of diseases such as malaria in Ethiopia and adjoining countries (2009-2010; USD 200,000)

Signing of MOU between the Korea Meteorological Administration (KMA) and the Intergovernmental Authority on Development's Climate Prediction and Applications Centre (ICPAC) and the National Meteorological and Hydrological Services (NMHSs) of the 10 ICPAC member countries (April 2010).

Contribution from Korea

RAII - WIGOS/WISRAII - WIGOS/WISRAII - WIGOS/WISRAII - WIGOS/WIS

Sta

nd

ard

izati

on

In-situWIGOS

WMO Integrated GOS

GEONETCast

Global Earth Observation System of Systems

WISNational level

Weather Observation Network : e.g. WWW/GOS, AMDAR, ASAP

Atmospheric composition observing network : e.g. GAW etc.

Radiation observing networks : e.g. BSRN

Marine meteorological networks and arrays : e.g. VOS, ARGO, etc.

Hydrological observing networks : e.g. components of WHYCOS

Climate components of atmos-, oceano-, terres- observing systems : Flux

Inte

gra

tion

Remote sensing

Regional level

(V) GISC(V) GISC

SIMDATSIMDAT

GISCGISC

UNIDATUNIDAT

Data BrokerData Broker

GDSGDS

LASLAS

GTS/WISGTS/WIS

APCCAPCC

GEOSSGEOSS DataData

ArchitectureArchitecture

NetworkNetwork

OBSOBS ProcessProcess Earth SystemEarth System

UserUserInterfaceInterface

DCPCDCPC NCARNCAR

NCDCNCDC

TIGGETIGGE

WAMISWAMIS

Climate ProjectionClimate Projection

SIPSIP

GDAPS / GMEGDAPS / GME

RDAPS / GME : WRFRDAPS / GME : WRF

Mesoscale modelMesoscale model

NowcastingNowcasting

Historical (Legacy) dataHistorical (Legacy) data

Non-Meteorological DataNon-Meteorological Data

Surface FluxSurface Flux

VegetationVegetation

Soil ProfileSoil Profile

GRIDGRIDComputing Computing • • Data Data •• Access Access

Computation Computation • • ResearchResearchKMA/KISTIKMA/KISTI

WAMIS Grid PortalWAMIS Grid Portal

AMBERAMBERDSSATDSSAT

GIS RSGIS RS

User InterfaceUser InterfaceGridSphereGridSphere

END-END-USERSUSERS

K*GRIDK*GRIDeScienceeScience

LDAS/LISLDAS/LISFlux, GHGFlux, GHG

FeedBackFeedBackDecision-MakingDecision-Making

Impact Impact AssessmentAssessment

Data GridData Grid

MMEMME

AppliedAppliedMeteorologyMeteorology

Pilot ProjectsPilot ProjectsSIMDATSIMDATWAMISWAMISUNIDATUNIDAT

..

..

..

..

WIS-WIS-WAMISWAMIS

WAMISGrid

Portal

ESES22

Earth System eScienceEarth System eScienceKoreaKorea

WIGOSWIGOSWMO Integrated GOSWMO Integrated GOS

WMOInformation

System