Introduction – workshop on EBAS and Data Quality

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Introduction – workshop on EBAS and Data Quality Kjetil Tørseth, EMEP-CCC TFMM-workshop, NILU, 26 Oct 2016

«Data quality and database issues are closely linked» OECD LRTAP; a new network of sites was established and data collected at NILU, data mainly reported on paper -> LRTAP proven and formed basis for EMEP EMEP; data reported on paper and later as flat files EBAS; a relational database, developed around 1995 (EMEP/AMAP) EUSAAR; funded the web interphase, later developments funded by ACTRIS EBAS-Online; funded an updated relational database model EBAS- Online CREATE/EUSAAR/ACTRIS EBAS Acid rain GAW-WDC OECD EMEP (HELCOM, OSPAR, AMAP) 1970 1980 1990 2000 2010

Timeline – frameworks Complexity History of EBAS Timeline – frameworks Complexity Major inorganics in air and precipitation Surface ozone, NOx, VOCs Heavy metals in air and preipitation POPs in air and precipiation Aerosol physical and optical properties Tracers, and long-lived species Now Global scope, varying DQO… The most comprehensive atmospheric composition data repository: 78000 datasets, 911 stations, 69 countries, 631 components, 48 frameworks, 101 Instrument types, time series since 1971 OECD; 72-77 EMEP; 79-> HELCOM; 1989-> OSPAR; 1991-> AMAP; 1995 -> CREATE/EUSAAR/ACTRIS; 2000 GAW-WDCA; 2010 -> GAW-WDCRG; 2016 ->

Goal: «Establish a network of comparable sites performing comparable measurements»

Early days, …1970ies

1995: first introduction of «DQOs» (largely influenced by CapMon through discussions in GAW PC-SAG)

EMEP-CCC QAQC efforts (have) include(d) More stringent data documentation Data reviews Laboratory intercomparisons Field intercomparisons Capacity building Expert meetings Training courses Involvement in external efforts (CEN, GAW, etc) Improved documentation of data and metadata

QAQC info: results from intercomp etc. IPR, Branding, Versioning, Tracking use, tracking Impact, DOIs…. Data review: CCC/NILU External user Formats Standards Units Flags Tools etc. Validated data NRT prelim. data Institution/PI Authorised body Manual or automated (on/off line) EBAS Stakeholders Aggregates, plots, reports, maps, assessments Secondary portals (WIGOS, GEOSS, IASOA, ACTRIS ++++ Hardware Software Licences Security User support Site offering ~10-500 variables Meta data exchange Complicating factors: many stakeholders, distributed (and limited) funding , one size fit all…

EMEP Laboratory intercomparison – Execution Prepare synthetic samples Pack and dispatch samples to participation laboratories Analysis of samples in the laboratory Evaluation of results Certificates sent to the labs Submission of results on the EMEP web page

Circle radius: 20% Circle radius: 15%

Inorganic in precip

So, why is data quality barely improving? QAQC regimes have improved significantly Analytical technology has improved significantly Scientific understanding has improved significantly So, why is data quality barely improving? more diversity in efforts? Work done by «less interested» organizations? Cost savings and use of commercial labs with mass production? No internal improvement in participating labs? Focus changed from CHEMISTRY -> POLICY?

Goal of workshop Raise attention nationally and within the CLRTAP bodies on uncertainties associated with observations Strengthen the involvement of the measurement community in the policy work Define future ambitions wrt data quality (mainly level I) EMEP data to also in the future represent state-of-the-art monitoring Quality sufficient to resolve policy questions Peer review quality Get input on CCC efforts required (also beyond the EMEP workplan) Aim to produce a short EMEP-CCC report (useful if comments and views can be expressed also as short text statements)