5 HALO – GMES Specific Support Action (SSA) 3/28/2017Harmonised coordination of Atmosphere, Land and Ocean integrated projects of the GMES backbone (project lifetime: 1/2/2004 – 1/1/2007)GMES Fast-Track Pilot Services to be operational from 2008Marine Services (IP MERSEA follow-up)Land Monitoring (IP GEOLAND-Europe follow-up)Emergency Response (IP RISK-PREVIEW follow-up)Proposed GEMS Fast-Track Pilot Services to be operational from 2009 onwardsAtmospheric Services (IP GEMS follow-up)Global Land Monitoring (IP GEOLAND-Global follow-up)SecurityHALO aims at formulating agreed recommendations to GAC and IPsScientific thematic analysis of links:Direct product exchangeUnaccomplished data demandsCommon dataCoordinated solutions to infra-structure in operational modeCandidate solutions by Alcatel and AstriumEmergencyResponseMarineServicesLandMonitoringAtmosphericServicesSecurityGlobalLandMonitoringNow lets look in a bit more detail in the the objects of the HALO SSA. The overall purpose is … And the output should be ….HALO
6 GMES Fast-Track Pilot Services and HALO 3/28/2017MarineServicesAim of HALO: “Optimising the efficiency of interaction the Atmosphere, Ocean and Land segments by formulating agreed recommendations to A - L - O IPs and GMES steering groups in areas of”Scientific thematic analysis and coordinationCoordinated solutions to shared problemsRecommendations to the transition to operational statusDefinition of Infrastructure Candidate SolutionsLandMonitoringEmergencyResponseHALOGlobalLandMonitoringSecurityAtmosphericServices
7 Iterative Development of the Guidelines (=Requirements) 3/28/2017MERSEA IP1Initialisation of GuidelineGEMS IPGEOLAND IP2Guideline consolidation3Data flow characterisation4Definition of candidatesolutions
8 Progress of the Candidate Solution Definition 3/28/20172004 Reports:“ECMWF’s data and products for GMES”“geoland data and products for GMES”“MERSEA data and products for GMES”“GEMS data and products for GMES”2005 Reports:“Interacting parts of GEMS, MERSEA and geoland: Data, products and infrastructure”“HALO Guideline”2005/2006 Draft Report:“Infrastructure candidate solutions overview”What data flows are expected?draft discussed at 2nd Workshop and updated afterward
9 Chief Objectives of this Meeting 3/28/2017Project-internal Agreement onwhich candidate solutions shall be assessed,advantages and disadvantages of each,which one HALO shall recommend.
11 Current System of IPs (2006) 3/28/2017ModelNWPAssim.UK-metofficeNWPRetrievalOLFDataMerFOAMMFSTOPAZcatorRTlinkONCCSPGEMSOff -lineNERm-fCorCLSlinkSCCMSiolisECMWFOFMGeolandGEMSIn-situSatellite AgenciesMERSEA
13 Data Flow Characterisation 3/28/2017Data Flow Characterisation
14 Data Categories used in the HALO Reports 3/28/2017categories of exchangeinternal: within one IPinteracting: between two IPsexternal: between an IP and a third partyobservation categoriesin-situsatellite-baseddelivery modereal-time / near-real timeregularon-demand / offline
15 MERSEA data flow: Interacting, External, Internal 3/28/2017Data flowSourceDestinationDelivery ModeTheme/ProductMeteorological forcing fieldsECMWFOcean Model CentreRegular distribution, real-time analysis and forecasts, Regional High resolution modelsMeteorological forecast/NWP BulletinGEMS global aerosol productsMersea retrieval centresto be checked, initially research mode onlyAtmospheric Aerosol data for atmospheric corrections in retrievalSatellite dataESA, EUMETSAT, NASA, NOAAMERSEA Satellite TEPRegularAlong track, validatedSatellite productsSAT -TEP,GHRSST, SSALTO, OSI/SAFMerged, gridded, validated productsIn-situ observationsGDAC, RDAC, ARGO, GTSPP, DBCP,In-situ Data CentreRegular + On-demandHigh quality controlled, merged gridded products, climatologyIn-situ observations in real timeARGOIn Situ - TEPReal Time flowARGO data in real -or near real -time, with QC flagsIn Situ - TEP (from ARGO)?GSUD / VOS, Ocen time series / BBCP
16 geoland Data Flow: Interacting, Internal SourceDestinationDelivery ModeTheme/ProductMeteorological forcing fields for land surface modelsECMWFGeoland-ONCRegularAir temperature/humidity, wind speed, precipitation, incoming radiation (short and longwave)Geoland Global productsGeoland-CSPGEMSRegular + On-demandGeneric Land Cover (300 m – 1 km resolutionGeoland CSP-OFMvegetation CO2GEOLAND-OFM@ ECMWFto be checked, initially research mode onlyLand use change and forest firesgeoland ONCGEOLAND-ONCVegetation data as input for emission models (biogenic and fires): CO2 fluxes, above-ground biomass, stomatal conductanceGEMS global aerosol productsgeoland retrieval centresAtmospheric Aerosol data for atmospheric corrections in retrievalGeoland Global Gobal products@ECMWFECMWFRegular + On-demandTo be checked, initially research mode only (TBC)Biogeophysical Parameters (Rainfall for water cycle, burned area, active fire and LAI for trace gas emission)Vegetation data as input for emission models (biogenic and fires) (TBC)Satellite forcing fields for land surface modelsImproved precipitation fields and incoming radiation (short and longwave)
17 geoland Data Flow: External SourceDestinationDelivery ModeTheme/ProductSatellite dataESAEUMETSATNOAA / NASAGeoland-CSPRegular + On-demandSatellite observation to infer information about the land surface, in three areas : vegetation, radiation, waterin-situ dataMeteoRegular + On demandRainfallIn-situ dataResearch labsOn demandValidation data for Vegetation, radiation, soil moisture productsSPOT Image, NASAValidation data for Vegetation & Land cover productsSatellite data to be assimilatedNOAA/NASACNESGeoland-ONCSatellite observation to infer information about the land surface and the vegetation status.In-situ data for validationFluxnetOn-demandCO2 and water fluxesGAWGeolandradiative surface fluxes
18 GEMS Data Flow: Interacting SourceDestinationDelivery ModeTheme/ProductGeoland CSP-OFMvegetation CO2GEOLAND-OFMGEMS@ ECMWFto be checked, initially research mode onlyLand use change and forest firesgeoland ONCGEOLAND-ONCVegetation data as input for emission models (biogenic and fires): CO2 fluxes, above-ground biomass, stomatal conductanceGEMS global aerosol productsECMWFMersea retrieval centresAtmospheric Aerosol data for atmospheric corrections in retrievalgeoland retrieval centresto be checked, initially research mode onlyMeteorological forcing fieldsOcean Model CentreRegular distribution, real-time analysis and forecasts, Regional High resolution modelsMeteorological forecast/NWP BulletinMeteorological forcing fields for land surface modelsGeoland/ONCRegularAir temperature/humidity, wind speed, precipitation, incoming radiation (short and longwave)Geoland Global productsGeoland-CSPRegular + On-demandGeneric Land Cover (300 m – 1 km resolution
19 GEMS Data Flow: External, Internal SourceDestinationDelivery ModeTheme/ProductSatellite dataESA, EUMETSAT, NOAA / NASA (UNI-BREMEN, UMW)ECMWFoperationalRaw radiances and satellites products on atmospheric species concentration and fire count/ burnt areain-situ dataScattered provider(NILU, EEA, national and regional authorities)MPIKNMIRAQ CentresregularIn situ observation for validationCO2 concentrationgaw.kishou.go.jpGEMS@ ECMWFon demandvalidation data for CO2 assimilation. open access on the internet.GEMS global productsGEMS RAQ Centres (6)Boundary conditions for reginal air pollution models
20 In-Situ Providers for GEMS 3/28/2017CarboEurope, NOAA-CMDL, FLUXNET, ALE-GAGE-AGAGE, WDCGG data centre, WMO/GAW, WOUDC, DWD, SHADOZ, MOZAIC, DLR, IPSL, NILU, NDSC, EMEP, NILU, IMPROVE, AERONET, PHOTONS, WDCA, Brewer network, NUIG, ARM, SIRTA, NJKDSC, BSRN, SURFRAD, NASA, HELCOM, OSPAR, CREATE, DAEDALUS, GMES-GATO, Met-Monieur, AIRBASE, …Is there a role for WIN and ORCHESTRA?table
22 Selected Conclusions on Infrastructure Candidate Solutions need description of two alternative technical solution candidatesone using the existing meteorological network, ie GTSanother EUMETCastDoes WIS encompass both GTS and EUMETCast?compare the two solutions:commonalities and differencesadvantages and limitationsData policy implications of the two solution candidates shall be pointed out.an additional HALO meeting to decide on a solution recommendationseparate the discussions of solutions for the operational real-time data flow and for the data access for time-lagged products like reanalyses.
24 political characteristics easy access for European institutions GTSEUMETCastWISpolitical characteristicseasy access for European institutionsglobal reachlow costeasy implementation of data policiesflexibility to serve new customerstechnical characteristicscapacity/throughputreliabilityadaptability to new requirements /upgradabilitywidely accepted technical standards, both globally and within Europeefficiency for HALO/GMES data flowscore product exchangesatellite data acquisitionin-situ data acquisition3/28/2017equal weight