New Tools for Disseminating Weather and Climate Products and Services

1. International Workshop of CAgM XV, 12~14 July, 2010, Belo Horizonte, Brazil New Tools for Disseminating Weather and Climate Products and Services Monitoring Communications Byong-Lyol LEE National Center for AgroMeteorology Seoul National University CALS Republic of Korea Products/Applications User Interface

2. Contents • Introduction • Issues & Targets • WMO Requirements • Implementation Plan • Summary

3. I. Introduction

4. Weather :ResourcesorHazards ? Up to Us ! Resource Management Risk Management natural hazards, human-induced risks, etc. soil, water, biome, infrastructure, human resource, etc. Farm management system Productivity, stability, quality, sustainability Emergence response system Early-warning, advisory, forecast, outlook, prediction, prognosis, projection AgroMeteorology = [Sun + Wind + Rainfall] +Plants => Products => Green Technology using weather resources => Green Growth : 2nd Green Revolution ? 4

5. II. Issues & Targets • Implementation Targets • Global : mitigation - healthy Earth • Regional : disasters - early warning • National : adaptation - sustainability • Rural : emergence response - safety & stability • Farming : practices - productivity & economy Global Issues Climate change Economic Crisis WTO/FTA Climate Change Issues Uncertainty in prediction Intrinsic Variability Two sides of Coins 2 FEW Resources (too few) Food, Forest, Energy Water

6. Implementation Stages • Short-term : ~ 2 years Emergence responses - Farming level • Mid-term : ~10 years Adaptation schemes - National level • Long-term : ~30 years Mitigation implementations - Global level • Information Requirements • Legacy climate data • Real time observation • NWP-based Forecasts short-, medium-, long-range • Climate change projection

7. End-Users/Stakeholders • Publics • Police maker • Researcher • Extension service • Farmer’s cooperation • Industries associated • Rural residents • Farmers • Farmer’s Requirements - Accurate information - Site-specific information - Timely information delivery - Easy access to information - Understandable by farmers - Systematic service provision - On-site consulting - Capacity-building

8. 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 Archiving Data Management Processing Analysis/Prognosis Disseminating Communication Interface Feedbacks User-oriented service Service Infrastructure

9. Crucial Bottleneck at levels • Global : S & T Enhancement - resource mobilization • Regional : Collaboration - trans-boundary activity • National : Infrastructure - joint organization • Rural : Expertise - capacity building • Farming : Accessibility - diverse dissemination Implementation Strategy Global Fund raising , Restructuring Regional RA-specific AgMet program National Resource sharing system Rural Diverse E/T programs Farming Feasible communications

10. III. WMO Requirements http://www.wmo.int/pages/about/spla_en.html ER : Expected Results ST : Strategic Thrusts EC : Enhanced Capabilities Improving Service Quality/Delivery • EC for High Quality resources to meet user requirements • EC for Risk Management against natural hazards Advancing Science & Technology with Implementing Applications • EC for better meteorological information under climate change/variability • EC for earth system monitoring relevant to meteorological information • EC for active participation in global S & T development in meteorology Strengthening Capacity-building • EC to fulfill mandates in emerging members Establishing Closer Collaborations • Better partnership and cooperation at national & global levels Strengthening Good Governance • Effective and efficient Organization

11. Improving Service Quality/Delivery High Quality resources to meet user requirements Monitoring Communications Products/Applications User Interface

12. Improving Service Quality/Delivery High Quality resources to meet user requirements

13. Improving Service Quality/Delivery High Quality resources to meet user requirements

14. Improving Service Quality/Delivery Risk Management against natural hazards Real Time data & NWP outputs Near real-time operation Rice blast forecast model Web/Mobile-based information delivery

16. Improving Service Quality/Delivery Risk Management against natural hazards http://dmss.ksc.re.kr/dmss.html

17. Improving Service Quality/Delivery Risk Management against natural hazards

18. Advancing S&T with Implementing Applications Better met. information under climate change/variability

19. Advancing S&T with Implementing Applications Earth System monitoring relevant to met. information

20. Advancing S&T with Implementing Applications Active in global S & T development in meteorology

21. Advancing S&T with Implementing Applications Active in global S & T development in meteorology

22. Advancing S&T with Implementing Applications Active in global S & T development in meteorology

23. Advancing S&T with Implementing Applications Active in global S & T development in meteorology KOREN uMeteo-K testbed KISTI Cluster KISTI Cluster KISTI Cluster TEIN KT Cluster KT Cluster 23

24. Strengthening Capacity-building Fulfill mandates in CB for emerging members

25. Strengthening Capacity-building Fulfill mandates in CB for emerging members

26. Establishing Closer Collaborations Better partnership at national & global levels

27. CC Information System Future ES(GAIA) Analysis ICT system Extreme W/C Natural Disaster Projection Operational ES (KAOSS) Nat’l Strategy Institute of CC Science Monitoring/Detection Establishing Closer Collaborations Better partnership at national & global levels Outcomes expected Collaboration with Universities To Strengthen Expertise and to bring up Scientist to meet future requirements • Research Hub for CC Science • Expanding Brain Pool • Leading roles in CC Science • Outreach and Strategy program • International Hub for Earth System Integration of research groups on CC Science Expanding existing projects Links to GAIA Project &APCC

28. Strengthening Good Governance Effective and efficient Organization • Launch of National Center for AgroMeteorolgy as a framework • Four institutions (KMA, RDA, KFS, SNU) made MoU for collaborations in AgMet

29. IV. Implementation Plan • 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

30. IV. Implementation Plan • 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 30

31. IV. Implementation Plan Web Portal information sharing XML-based service : standard schema development Machine translation : multi-lingual interfaces Operational applications based on Web service architecture Tutorial interfaces for real practices GRID Portal Resource sharing Forecast-based AgMet Services for researcher / extension Benchmarking on AMBER (DWD), expanding with DSAT NCAR (GDAS, MM5), DWD (GME, LM) as NWPs Super 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)

32. Pre-WS of CAgM XV, 12~14 July, Belo Horizonte, Brazil Thank You! Never ending natural resources, Weather is green resource.

33. 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.

34. V. Summary • 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.

35. 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.

36. Contribution from Korea • 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)

37. 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).

39. RAII - WIGOS/WIS WIGOS WMO Integrated GOS In-situ Remote sensing Weather Observation Network : e.g. WWW/GOS, AMDAR, ASAP Atmospheric composition observing network : e.g. GAW etc. Radiation observing networks : e.g. BSRN Standardization Integration 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 WIS National level GEONETCast Regional level Global Earth Observation System of Systems

41. Data Grid GTS/WIS K*GRID eScience GRID Computing • Data • Access WAMIS GISC DCPC NCAR NCDC TIGGE Computation • Research KMA/KISTI UNIDAT (V) GISC WIS-WAMIS Data Broker GDS WAMIS Grid Portal User Interface GridSphere SIMDAT Climate Projection SIP GDAPS / GME RDAPS / GME : WRF Mesoscale model Nowcasting Historical (Legacy) data Non-Meteorological Data END-USERS LAS MME Pilot Projects SIMDAT WAMIS UNIDAT . . . . AMBER DSSAT GIS RS LDAS/LIS Flux, GHG Surface Flux Vegetation Soil Profile WMO Information System WAMIS Grid Portal Applied Meteorology WIGOS WMO Integrated GOS APCC Data Architecture Network GEOSS UserInterface ES2 Earth System eScience Korea OBS Process Earth System Impact Assessment FeedBack Decision-Making