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3.8 GAW response to the growing need for data and information. Øystein Hov Chair JSC OPAG EPAC Norwegian Meteorological Institute CAS MG WMO Geneva 23-25 May 2013. NWP, NOP services Structure of Products, Services and Delivery system . User customized information (user products).
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3.8 GAW response to thegrowingneed for data and information Øystein Hov Chair JSC OPAG EPAC Norwegian MeteorologicalInstitute CAS MG WMO Geneva 23-25 May 2013
NWP, NOP services Structure of Products, Services and Delivery system User customized information (user products) Core information (atmosphere/ocean incl land and ocean interfaces) Real time input information (raw data) Satellite and in situ networks Core Services Downstream Services Atmosphere/ ocean operational users service outputs (others) The public Free data policy. www.yr.no R&D
DRR Distribution of number of extreme events, fatalities, total and insured losses in respect to the different groups of natural perils.
GAW Information and Services • Health ofthe planet • Anchor for satelliteobservations • Weshouldcare more for the 2M that die from poor AQ everyyear (30k from extremeevents) • Climatemitigation • Trend analysisof CO2 and othergases and PM includingtheiremissions/cyclecomponents • Sand and dust storm warning, pollutioneventwarningincluding SR-information
NRT and archived data availability Protectlife and property, safeguardtheenvironment, contribute to sustainabledevelopment, promote long-term observationof met., hydrological, climatological data, inclrelatedenvironmental data, promotecapacity-building, meetinternationalcommitments FluxesbetweentheEarth’ssurface and theatmosphere Moisture, precipitation Heat Momentum Weather (incremental improvements in NWP) Radiativeforcing - climateresponse UNFCCC (§ co- benefits and tradeoffs; seasonal to decadal) Air quality – health National /regional regulations § Acid deposition – ecosystems § Eutrophication – ecosystems , SR, Nr § BDC Visibility-sand and dust storms, biomassburning, ash, pollen (GAW, WWRP) § Surfaceozone – crop loss CLRTAP to global § UV – health and cropsVienna Convention Emissiontracking/trends/inversion § CO2 and other GHGs PM physical and chemical characterisation Halocarbons and SF6 NOx NH3 VOC CO SO2 Water availability and quality § Biodiversity BDC § Agriculture/food § HM POP § significantgainscan be madethrough WMO contributions
MACC outline http://www.gmes-atmosphere.eu/about/
MACC2 surfaceozoneforecasts 19 March 2013 1200UTC (+108h) http://www.gmes-atmosphere.eu/d/services/gac/nrt/nrt_fields!Ozone!Surface!108!Global!macc!od!enfo!nrt_fields!2013031500!!/
Contributions from European countries to Arctic pollution (2006) SLCFmet.no/EMEP CTM modelcalculationswith ECMWF met.data GIPPS Primary PM2.5 Secondary inorganic aerosols: SO4, NO3, NH4 Meteorologisk Institutt met.no
MEGACITIES Urbanization prospects in 2050 Percentage of urban population • Half of world’s population already lives in urban areas • Between 2011 and 2050 population to increase from 7 to over 9 billion • Urban population to increase from 3.6 to 6.2 billion, 66% of total population • Most urban population growth to occur in the less developed regions • The number of megacities (10 million) is currently 23 and is expected to reach 37 in 2025. Adapted from United Nations 2012
Meteorological data: Private good or publicgood? www.yr.no, number of unique users per week 2008-2012 • Public good: Is not used up even if many take part in using it. Not suited for the market • Private good: Is used up (shoes!). A requirement for a functioning market. • Positive externalities are lost when public goods are commercialised • All data (observations and prognosis) owned by MET-Norway are available at zero data price • Free license arrangement .hov
Resolution 40 (Cg-XII 1995) WMO policy and practice for the exchange of meteorological and related data and productswith guidelines on relationships in commercial meteorological activitieshttp://www.wmo.int/pages/about/Resolution40_en.html • As a fundamental principle WMO commitsitself to broadening and enhancingthefree and unrestrictedinternationalexchangeofmeteorological and related data and products; • (1) Membersshallprovideon a free and unrestricted basis essential data and productswhicharenecessary for theprovisionof services in support oftheprotectionoflife and property and thewell-beingof all nations, • (2) Membersshouldalsoprovidetheadditional data and productswhicharerequired to sustain WMO Programmes at the global, regional, and nationallevels and, further, as agreed, to assist otherMembers in theprovisionofmeteorological services in theircountries. • (3) Membersshouldprovide to theresearch and educationcommunities, for their non-commercialactivities, free and unrestrictedaccess to all data and productsexchanged under theauspicesof WMO
Develop GAW into a three-dimensional network through integration of all kind of observations from surface to space Strategic Plan for GAW 2008-2015 Main Long-term Objectives Implementation • Start delivering data in near real time by using WMO GTS/WIS Rationale Mission Objectives • Merge all activities from the observation to the users application into coherent data processing chains related to a GAW quality management system • Support assimilation of the essential climate variables in atmospheric transport and numerical weather prediction models
DCPC NC NC NC/ DCPC Managed, Regional and Internet NC NC/DCPC Communication Networks NC GISC NC GISC GISC NC DCPC DCPC GISC GISC Satellite Dissemination (IGDDS, RETIM, etc) NC NC SatelliteTwo-Way Systems NC NC On-demand “pull” WIS Vision World Radiation Centre Regional Instrument Centres International Organizations (IAEA, CTBTO, UNEP, FAO.. ) GAW World Data Centres GCOS Data Centres Global Run-off Data Centre Global Precip. Climatology Centre IRI, Hadley Centre, and other climate research centres; Universities; Regional Climate Centres (CIIFEN, etc.) Commercial Service Providers WMO World Data Centres International Projects (e.g. GMES HALO) internet Real-time “push” World Meteorological Organization
Discovery Access and Retrieval Services in WIS Global Information System Centres (GISCs) ISO compliant Meta Data format and contents WDCGG and Other GAW Data Centers Data Collection or ProductionCentres (DCPCs)
WIS Implementation Plan • Two parallel parts: • Part A: Further improvements of the GTS for time-critical and operation-critical data for all WMO Programmes • Part B: Extension of services through flexible data discovery, access and retrieval services (DAR) through the Internet – a component of WIGOS for new data sets. Metadata driven.
Functions of the WDCGG and the Data Flow Data users Data submitters WDCGG Data Submission and Dissemination Guide (GAW Report No. 188) Provision of data Acceptance of data Internet Confirmation Archived data Products/Services Data validation and reformatting Search, visualization Global analysis Metadata WDCGG 18
Points in a GAW strategy 2016-2019 • USER DRIVEN PRODUCTS: AQ, deposition, UV, dust incl volcanic ash, climate, NWP incl seasonal weather forecasts, marine input • TOWARDS “ONE CHAIN”: Research driven and operational observations, model development and application, and services • CORE GAW ACTIVITY: Doing Good Observations, not only collecting others’ • POLICY FACILITATION: DRR, GIPPS, AQ, CLRTAP, GFCS, IPCC, new global/regional alliances, and FEWER PARALLEL PROCESSES in policies’ underpinning • DATA STEWARDSHIP. WIS (WIGOS). User-data provider interaction. Interoperability. Free data policy. • FOSTER COUNTRY CONTRIBUTIONS to research, infrastructure, education, institutional building • Management structure; communityofpractise
GAW links to other WMO initiatives • For GFCS – GAW contributes through observations and services related to drivers of climate change (e.g. GHG Bulletin) and applications in various priority areas (e.g. health, agriculture and food security), through the Research and Observations and Monitoring Pillars. • For WIGOS and WIS – purpose is to enhance the interoperability and availability of high-quality observational data as the foundation for new and improved services. GAW is actively involved in the implementation of both WIS and WIGOS providing insights into best practices related to atmospheric composition observations and data and also to derive benefits from more sustainable and better integrated observational networks; • For WWRP Polar Prediction Project – a multi year research initiative to address the growing requirements for improved weather services on time scales from hours to seasonal in the rapidly changing polar regions. The inclusion of atmospheric composition in the modelling and prediction systems is viewed as a necessity. Improved understanding of processes in polar regions are also expected to have advantages to predictive skills in mid-latitudes.
Some words from the last year document • Considering the observed and projected changes in polar regions, their importance to the global weather and climate system and the emerging needs for new weather and climate services in polar regions, it should be noted that: • GAW is a fundamental programme for building a better understanding of the various feedbacks that occur in polar regions and improving modelling of the weather and climate system; • GAW observation activities are coming under increasing threat (especially in polar regions) due to financial pressure exactly at a time when their value is increasing; • Models being develop for new environmental services in polar regions require comprehensive atmospheric chemistry and aerosol information at higher special resolution