How official national inventory data is used as input data for EMEP models Katarina Mareckova, Robert Wankmueller CEIP - Centre on Emission Inventories and Projections GMES workshop Oct 2011

CEIP – Centre on Emission Inventories and Projections CEIP is hosted by the Umweltbundesamt GmbH in Vienna since January 2008 ( The main tasks are:  Collection of emissions and projections of acidifying air pollutants, heavy metals, particulate matter and photochemical oxidants from Parties to the LRTAP Convention.  Review of submitted data  Assistance of Parties in improving the quality of national inventories  Publication of emission inventories  Support to the UNECE/CLRTAP secretariat  Expert adjustments and preparation of submitted emission data for long-range transport models (  gap filling and gridding)

Review of submitted data Automated checks of format, completeness and consistency of trends before data is imported to the CEIP DB (RepDab check) Immediate / Direct feedback to Parties

Review of inventories under CLRTAP Methods and procedures for the technical review of air pollutant emission inventories reported under the Convention and its protocols (EB.AIR/GE.1/2007/16)  Stage 1 – automated tests, country reports are published annually (during March) on the CEIP website  Stage 2 – Synthesis and assessment tests, country data is published annually (31 May) on the CEIP website  Stage 3 – Centralised in-depth review, 10 Parties are reviewed each year A summary of the S1 and S2 findings is published in the annual Inventory Review Reports 

1. Extraction of latest year data and data from previous years from the CEIP database (NFR) 2. Conversion of 117 NFR categories to 11 SNAP sectors 3. Import of converted values to Excel spreadsheets – together with „Expert Data“ from previous years – for the gap-filling procedure Procedure for expert adjustments

11 SNAP sectors S1 - Combustion in energy and transformation industries S2 - Non-industrial combustion plants S3 - Combustion in manufacturing industry S4 - Production processes S5 - Extraction and distribution of fossil fuels and geothermal energy S6 - Solvent use and other product use S7 - Road transport S8 - Other mobile sources and machinery S9 - Waste treatment and disposal S10 – Agriculture S11 - Other sources and sinks  NFR to SNAP mapping table:

Use of other officialy available data (NECD, UNFCCC, IIASA, MSC-W, MSC-E, ENTEC, …) Linear extrapolation of officially submitted data or expert data Copy of expert data from the previous year Shipping emissions  IIASA/ENTEC estimates  Import of gap-filled data to the CEIP database Methods used for gap-filling

Gridding process Grid Scaler Gridded data from official submissions and other data sources Gap-filled SNAP values (expert data) Sector Scaler Base grid for each component Grid files for each component CEIP Database

Data sourcesGrid Scaler Grid- Scaler (Generate base grids for each component) Population distribution data Gridded national totals reported by Parties Gridded sectoral data from TNO (emission data derived from satellite images) Large point source data reported by Parties and the „Genemis Project“ Gridded sectoral data reported by Parties

Grid Scaler – Scaling order Official gridded sector data Combination of population data and reported LPS data (The partitioning is defined by POP_LPS_TNO_RATIO) Combination of Population and LPS data from the „Genemis Project“ (The partitioning is defined by POP_LPS_TNO_RATIO) Gridded sectoral data from TNO Only Population data

Grid Scaler – POP_LPS_TNO_RATIO Sector 1  only LPS data Sector 2  only Population data Sector 3  50% Population data / 50% LPS data Sector 4  only LPS data Sector 5  only gridded sectoral data from TNO Sector 6  only Population data Sector 7  NOx distribution from official gridded sectoral data OR gridded sectoral data from TNO Sector 8  like Sector 7 Sector 9  is defined by the „S9_GRID_COUNTRY_RATIO“ (see next slide) Sector 10  NH3 distribution from official gridded national total data OR gridded sectoral data from TNO

Grid Scaler – S9_GRID_COUNTRY_RATIO Different weightings of population-, LPS- and TNO- data for each country, whereas  The TNO value defines the percentage of agriculture related waste  The population value defines the percentage of urban population related waste  The LPS value defines the percentage of flaring/oil related waste

Grid Scaler – S9_GRID_COUNTRY_RATIO Definition for each country:  Column 1: Country  Column 2: TNO data weighting  Column 3: Population data weighting  Column 4: LPS data weighting

Grid Scaler – Result (Base grid) The result is a base grid for each component (standardised to 10 9 per sector and country)

Sector Scaler Allocate the emission values from the gap-filling process regarding the base grids The result are grid files for each component

Procedure for updating the EMEP database 1. Checking of gridded data by MSC-W 2. Performing necessary updates 3. Upload of gridded data to the CEIP database 4. Activation for experts and public access via the CEIP homepage 

Update of historical gridded emissions Differences between previous year‘s gridded and this year‘s re-gridded emissions for the year 2000

Reporting of emission data to EMEP Reporting of gridded sectoral data

Upcoming changes to the EMEP grid Katarina Mareckova, Robert Wankmueller CEIP - Centre on Emission Inventories and Projections GMES workshop Oct 2011

Present gridding system Polar stereographic projection Grid resolution: 50 x 50 km² 10 SNAP sectors + National Total Pollutants MAIN: NOx, NMVOC, SOx, NH3, CO) (since 2008 by CEIP, before MSC-W) PM (PM2.5, PMcoarse) (since 2008 by CEIP, before MSC-W) HM (Pb, Cd, Hg) (since 2009 by CEIP, before MSC-E) POPs (PCDD/PCDF, HCB, BaP) (since 2010 by CEIP, before MSC-E)

Discussed further modifications to the EMEP grid Change of the grid projection from the current polar-stereographic (PS) grid to geographical coordinates (latitude-longitude grid) Increase of the grid resolution (0.1° x 0.1° or even less) Optional: Reduce only grid size and keep PS projection (10 x 10 km² or 5 x 5 km²) Gridding in GNFR sectors (introduced in 2009 with the new NFR reporting templates) instead of 10 SNAP sectors

Next steps in the development of a new EMEP grid Revision of the Reporting Guidelines Decision of the EB on future reporting of gridded data Definition of the requirements to a new gridding system (What is essential and what is nice to have) Timeframe for the development Grid definition for sea areas and the extended domain (Where should be the new grid domain borders?) Agreement on GNFR sectors used for gridding

Definition of new „proxy base grids“ (Derived from digitised maps, e.g. road network, shipping routes, airports, etc.) Definition of new „base grids“ for the emission distribution of each pollutant and sector  Derived from „proxy base grids“ and other spatial data (e.g. LPS data) Transition phase between „old“ and „new“ EMEP grid (data comparability, data migration, re-gridding, etc.) Gridding procedure until the new system is available (Convert reported GNFR grids to SNAP sectors) Specification and implementation of a new gridding software Next steps in the development of a new EMEP grid

Current domain borders In polar stereographic projection 50 x 50 km² grid used until 2008 Extended area of the 50 x 50 km² grid used since 2009

Current domain borders In geographic coodinate system (WGS84) 50 x 50 km² grid used until 2008 in WGS84 Extended area of the 50 x 50 km² grid used since 2009 in WGS84 New domain borders ?

30°N-82°N, 30°W-90°E Figure provided by MSC-E Current and suggested new domain borders

SNAP Sectors and new GNFR Sectors SNAP Sectors  Used for gridding S1 - Combustion in energy and transformation industries S2 - Non-industrial combustion plants S3 - Combustion in manufacturing industry S4 - Production processes S5 - Extraction and distribution of fossil fuels and geothermal energy S6 - Solvent use and other product use S7 - Road transport S8 - Other mobile sources and machinery S9 - Waste treatment and disposal S10 - Agriculture S11 - Other sources and sinks GNFR Sectors  NEW A_PublicPower B_IndustrialComb C_SmallComb D_IndProcess E_Fugitive F_Solvents G_RoadRail H_Shipping I_OffRoadMob J_AviLTO K_CivilAviCruise L_OtherWasteDisp M_WasteWater N_WasteIncin O_AgriLivestock P_AgriOther Q_AgriWastes R_Other S_Natural T_IntAviCruise z_Memo NFR02 (Level 1)  Reported Grid- and LPS data 01 - Combustion in Power Plants and Industry 02a - Transport above 1000m 02b - Transport below 1000m 03 - Commercial, Residential and Other Stationary Combustion 04 - Fugitive Emissions From Fuels 05 - Industrial Processes 06 - Solvent and Other Product Use 07 - Agriculture 08 - Waste S9 - Other (included in National Total) Conversion

New gridded sectors Proposal for aggregation of the current GNFR sectors to be used in models (for reporting?)

Thank you very much for your attention