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C oordinated E nhanced O bserving P eriod ( CEOP ). an Element of WCRP. initiated by GEWEX. http://www.ceop.net. LONG-TERM GUIDING GOAL. To understand and model the influence of continental hydroclimate processes on the predictability of global atmospheric circulation
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Coordinated Enhanced Observing Period (CEOP) an Element of WCRP initiated by GEWEX http://www.ceop.net LONG-TERM GUIDING GOAL • To understand and model • the influence of continental hydroclimate processes on the predictability of global atmospheric circulation • and changes in water resources, with a particular focus on the heat source and sink regions that drive and modify the climate system and anomalies. . EOP1: Jul.-Sep. 2001 EOP3: Oct. 2002 - Sep. 2003 EOP4: Oct. 2003 - Dec. 2004
Coordinated Enhanced Observing Period Three Unique Capabilities Convergence of Observations A Prototype of the Global Water Cycle Observation System of Systems
In-Situ Data Archiving Center at NCAR (National Center for Atmospheric Research) of USA Model Output Data Archiving Center at the World Data Center for Climate,Max-Planck Institute for Meteorology of Germany Data Integrating/Archiving Center at University of Tokyo and JAXA of Japan Coordinated Enhanced Observing Period Three Unique Capabilities Interoperability ArrangementA well organized collecting, processing, storing, and disseminating shared data, metadata and products
In-Situ Data Archiving Center at NCAR (National Center for Atmospheric Research) of USA Model Output Data Archiving Center at the World Data Center for Climate,Max-Planck Institute for Meteorology of Germany Data Integrating/Archiving Center at University of Tokyo and JAXA of Japan Coordinated Enhanced Observing Period Three Unique Capabilities Interoperability ArrangementA well organized collecting, processing, storing, and disseminating shared data, metadata and products
GrADS/ DODS for Subsets GrADS/ DDDS for Subsets Distributed Integration Services NCAR Computing Power In-situ model In-situ model In-situ model Centralized Integration Services In-situ In-situ In-situ model In-situ model http://jaxa.ceos.org/wtf_ceop/ MPI GrADS/ DODS for Subsets model http://monsoon.t.u-tokyo.ac.jp/ceop-dc/ceop-dc_top.htm satellite satellite satellite satellite UT/JAXA Computing Power satellite satellite satellite Coordinated Enhanced Observing Period Three Unique Capabilities Data ManagementDistributed- and Centralized- Data Integration Functions
Metadata standard development framework • Metadata implementation model • Web service application ISO19139 Metadata-implementation • Metadata conceptual model OGC WFS,WCS,CTS ISO 19115 metadata • Application Requirements
WTF-CEOP Distributed Data Integration System Users User client – data download and analysis User client – Library of scripts Web Browser • Locate Data • Visualize Data • Light Processing UCAR Archive (In-situ) D O D S MPI Archive (Model Output, MOLTS) D O D S WTF-CEOP Live Access Server (LAS) D O D S CSDIC Archive (Satellite, Model Output) Ferret IDL CDAT GrADS Matlab D O D S Other Data Archives
User Web Browser / Client Application HTTP Server Data Integration Engine Visualization Engine Data Mining Engine DBMS Storage Management System Hierarchical Storage Management Centralized Data Integration FunctionsRequest and Data Flow Data Integration, Visualization, Mining
SCIENTIFIC ACTIVITIES OF CEOP PHASE1 MODEL OUTPUT REFERENCE SITES SATELLITES Global Regional Local Diurnal Intra-seasonal Seasonal DATA INTEGRATION & DISSEMINATION WATER & ENERGY SIMULATION & PREDICTION (WESP) Water and Energy Budget Studies Global Land Data Assimilation Systems Inter-CSE Transferability Study CEOP INTER-MONSOON STUDY (CIMS) Coordinated Model Integration Process Monsoon System Inter Comparison
An Element of WCRP initiated by GEWEX • CEOP Special Issue of Journal of Meteorology Society of Japan (JMSJ) Paper Submission Due : 20 Feb. ’06 Publication: Feb. ’07 CEOP Tokyo WORKSHOP’05 43 Extended Abstracts 29 Oral Presentations & 14 Poster Presentations Water and Energy Simulation and Prediction (WESP): 14 Water and Energy Budget, Data Assimilation, Model Development/Transferability CEOP Inter-Monsoon Study (CIMS): 8 Data Analysis, Data Integration, Model Simulation, Satellite Remote Sensing Satellite Remote Sensing: 4 Radiative Transfer Model, Algorithm Development/Validation/Application Data System: 7 Quality Checking System, Archive/Integration/Dissemination Systems, Meta Data NWP and Data Assimilation Centers: 8 BMRC, CPTEC, JMA, NCMRWF, EPCP, GLDAS, GMAO, Intercomparison Totally 41 PAPER SUBMISSION
An Element of WCRP initiated by GEWEX • CEOP Phase 2 Implementation Plan • Implementation Planning Task Team (IPTT) • Mar. 4, 2005: Basic Consensus and Establishment of IPTT • March 21, 2005: 1st Conference Call • March 29, 2005: 2nd Conference Call • May 6-7, 2005: 1st IPTT Working Session in Boulder • May 23, 2005: 3rd Conference Call • June 1-3, 2005: Briefing at the WOAP Meeting • June 19-22, 2005: 2nd IPTT Working Session in Irvine • August 2, 2005: Submission to GEWEX SSG • January 13, 2006: Conditional Endorsement by GEWEX SSG
SCIENTIFIC ACTIVITIES OF CEOP PHASE1 SCIENTIFIC ACTIVITIES OF CEOP PHASE2 MODEL OUTPUT REFERENCE SITES REFERENCE BASINS SATELLITES Global Regional Local Diurnal Intra-seasonal Seasonal DATA INTEGRATION & DISSEMINATION WATER & ENERGY SIMULATION & PREDICTION (WESP) Water and Energy Budget Studies Global Land Data Assimilation Systems Inter-CSE Transferability Study Semi-arid Region Study Cold Region Study CEOP INTER-MONSOON STUDY (CIMS) Coordinated Model Integration Process Monsoon System Inter Comparison Aerosol - Monsoon Water Cycle Interaction CEOP Analyses Intercomparison Project Extreme Events Impact Analysis Project Down Scaling 2007-2010: Implementation of New Activities 2005-2006: Completion of Phase1 Preparation for New Activities Watershed Hydrology Study Water Resources Study
GRP-CEOP Cooperative Science Activities • Convergence of Observation/Interoperability/Data Management • Targets: • Water – Radiative Energy – Aerosol • Surface – Atmosphere Coupled System • Strategy: • Sophisticated In-situ Observation • Microwave vs. Visible-Infrared Remote Sensing • Action: • Linkage between GRP data system and the CEOP Distributed Data Integration System • GRP products archive at the CEOP Centralized Data Integration System for extended data integration • Anthropogenic Impacts on Monsoon Systems • Targets: • Aerosol – Monsoon Water Cycle • Strategy: • Intensive Case Study by Data Integration and Telescoping • Intercompariosn Study • GAME Follow-on “MAHASRI” • ABC-CEOP JTT
CliC-CEOP Cooperative Science Activities • Convergence of Observation and Data Integration • Targets: • - Reference site/basin network in cryosphere • - Integrated satellite products in cold region • Strategy: • Sophistically integrated in-situ observation including isotope • Common metadata and data policy • Data quality check and archiving system • Integrated satellite products validated by in-situ data • Long term, comprehensive, quality observation at different scales • Action: • Joint IPY Proposal on Convergence of Observation and Data Integration Long-term Variation of Snow Distribution in the Northern High Latitude Region and Its Impacts on Atmospheric Circulation Water and Energy Budgets (WEBs) High Mountain Hydrology Including Glacier
Science Advisory Group (SAG) NWPCs affiliated with theWMO CEOS Space Agencies WCRP advise advise report report GEWEX WOAP CEOP Phase2 advise advise report report • Continental Hydroclimate Process Science • Continental Scale Experiments (CSEs) • CEOP Monsoon Studies (CMS) • Water & Energy • Simulation & Prediction (WESP) • CEOP Cross-cutting Studies (CCS) • Data Infrastructure for • Hydroclimate Processes • Reference Sites/Basins • Satellite • Model Output • Data Integration & Dissemination IGOS Integrated Global Water Cycle Observations (IGWCO) GEOSS
CEOP UNIQUE ROLES IN WCRP Cooperative Architecture Convergence of Observations: A prototype of the global water cycle observation system of systems Interoperability Arrangement : A well organized collecting, processing, storing, and disseminating shared data, metadata and products Data Management: Distributed- and centralized- data integration functions Science Cooperation Framework Validation & Improvement Intensive Case Study by Data Integration and Telescoping Intercomparison Study Application Basis