UNFCCC GHG Inventory Data Management and System



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UNFCCC GHG Inventory Data Management and System CPF Task Force on Streamlining Forest-related related Reporting 19-20 November 2002 James Grabert Programme Officer MIS Programme UNFCCC Secretariat

Overview GHG Inventories GHG Inventory Information System Dataflow: processing and consistency checking Dataflow: Outputs and tools Future Developments

GHG Inventories! Importance of GHG inventories #Fundamental to achieve the Convention's objective #Essential for assessing the implementation of the Convention & Kyoto Protocol! Secretariat's role - to ensure that credible GHG data are available to the COP by: #Reporting periodically on GHG emissions and trends, and providing related methodological and data analysis #Organizing and supporting the technical review process of GHG inventories " eveloping and maintaining a database of GHG inventory & related software (GHG inventory information system)

GHG Inventories: CRF Data Common Reporting Format (42 tables) ummary tables (IPCC) O 2 equivalent emissions table ethods and emission factors ectoral tables (IPCC) ectoral background data tables eference approach (IPCC) edstock and bunkers tables verview table (IPCC) ecalculations table ompleteness table missions trends heck-list CC/CP/1999/7) Energy Industrial Processes Solvents Agriculture LUCF Waste

GHG Inventory Information System (1999-2002) Since adoption of decision 3/CP.5 and 6/CP.5, we have developed:! CRF reporting software to be used by Annex I Parties! CRF database (archive and process GHG submissions)! Data import program / QC procedures! Software tools for supporting the review process & provision of information to the SBs/COP

GHG Inventory Information System Basics Database development started after the adoption of Common Reporting Format as a storage for the upcoming inventory submissions The design of the database was made on the basis of the structure of CRF software The database (CRF DB) is designed to import data from Excel tables a store all submitted national inventories A few software tools were developed around the CRF database to impo and quality control of the inventory information and produce outputs o of the database

GHG Inventory Information System architecture Excel CRF Submissions GHG online website Import Software Online DB Other tools CRF DB Consistency Checks Crawler Locator

Dataflow: processing and consistency checking Consistency check reports sent to Parties files Import program Consistency check Locator Crawler Web CRF Database

CRF submissions processing overview Status report GHG web-site Annex I Party Data consistency report Online GHG DB Email archive Consistency Checks (3) Annex-I G submissions Receipt Archiving Preparation (1) Importation (2) CRF DB Tracking DB Inventory reviews Documents preparation

CRF submissions processing (1) ceipt confirmation, archiving and preparation Sending submission receipt confirmation Recording of submission in tracking database Filing of correspondence Renaming of the file with the standard nomenclature Mapping to standard CRF format and/or making technical adjustments if necessary Placing files and hardcopies in a designated storage

ta importation CRF submissions processing (2) A complex import software has been developed to upload da into the CRF database The software checks provided CRF tables against predefined standards and prompts the user of any deviation (due to the flexibility of MS Excel) encountered for manual adjustments The tool has features that facilitate data processing by: #Using country-specific table templates #Defining synonyms for units of measurement #Recognition of known country-specific categories

CRF submissions processing (3) ta consistency checks (quality control) The Consistency Check Tool performs the following checks: #expected equivalencies #performs summation checks within and across certain tables #verifies the calculation of implied emission factors #performs a contribution analysis by gas and sector (i.e. ensurin values aggregate to 100%) #and allows for the plausibility verification of data point consistency in specific tables, inventory years and submissions Inconsistencies related to reporting are communicated to the Parties with the request to make appropriate changes and to resubmit relevant files

General Statistics Current database size 135 MB Total number of values 2,140,000 (34 Parties) # by submissions: 2000 300,000 (23 Parties) 2001 630,000 (31 Parties) 2002 1,200,000 (32 Parties) # by inventories 1990 206120 (30 Parties) 1991 170276 (25 Parties) 300000 1992 170743 (25 Parties) 250000 1993 171515 (25 Parties) 1994 172724 (26 Parties) 200000 1995 175436 (26 Parties) 1996 178222 (24 Parties) 150000 1997 181719 (23 Parties) 100000 1998 266503 (30 Parties) 50000 1999 240472 (33 Parties) 2000 207025 (31 Parties) 0 1400000 1200000 1000000 800000 600000 400000 200000 0 2000 2001 2002 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000

Dataflow: Outputs and tools Data browser - Queries by reviewers, internal queries Data mining - Outputs for review, UNFCCC process On-line data search - Public data access, general data requests files Import program Consistency check Locator Crawler Web CRF Database

The Locator very practical search engine on top of the CRF Database, intensively used by experts at l stages of the review process.

The Crawler(I) Data mining tool which allows for the design and production of complex c tables with user-defined queries and formulae

The Crawler(II): Output table ustrial Processes CO2 +CH4 + N2O (Gg CO2 equ) 1990 1991 1996 1998 2000 lgaria 10,841 6,548 7,645 4,790 0 ech Republic 4,708 5,459 3,614 3,942 3,447 w Zealand 2,389 2,513 2,744 2,758 2,824 Formulae Queries 1990 CO2 1990 CH4 1990 N20 1991 CO2 1991 CH4 1991 N2O 1996 CO2 1996 CH4 1996 N2O 1998 CO2 1998 CH4 1998 N2O 2000 CO2 2000 CH4 2000 N20 lgaria 8,361 2.8 7.8 4,873 2.4 5.2 5,610 3.5 6.3 3,762 2.8 3.1 ech Republic 3,380 5.6 3.9 4,335 12 2.8 2,479 4.9 3.3 2,661 4.0 3.9 2,251 3.4 3 w Zealand 2,386 0.12 NO 2,511 0.12 NO 2,742 0.10 2,755 0.11 2,822 0.11 Color Codes: Backgro und data (2002) Former Submis sion Gg <-> Gg CO2 Equ Trend data Alternati ve Datasou rce SUM(CO 2+CH4+ N2O) Base Year a source profile 1990 1991 1996 1998 1999 2000 h Republic 2002 Pre - CRF T:2002 T:2002 A:2000 T:2002 A:2001 2002 comments 2002 Submission year 1990 Non CRF submission 1999 Submission 2002 Year 2000 Trends Tables Submission 2002 Year 2000 Trends Tables + Submission 2000 Year 1998 Submission 2002 Year 2000 Trends Tables + Submission 2000 Year 1999 2002 Submission year 2000

Outputs from Crawler (I): Key Source Analysis y Source analysis aims to identify and prioritize the most important emission sources in a given Party CC Good Practice). ery Key Source is evaluated on the basis of its Level Assessment : Level of Assessment = Source Category Emission / Total Emission(without LUCF) Keysources - Czech Republic - Year 2000 Level Assessment Cumulative Total Trend Assessment (since 1990) CO2 Stationary combustion-coal 57.3% 57% 35.5% CO2 Stationary combustion-gas 11.9% 69% 25.4% CO2 Stationary combustion-oil 7.6% 77% 3.4% CO2 Mobile combustion-road vehicles 7.0% 84% 18.3% CH4 Fugitive emissions: coal mining&handling 3.4% 87% 2.6% Direct N2O emissions from Agricultural soils 1.7% 89% CO2 from Cement production 1.4% 90% 1.4% Indirect N2O from Nitrogen used in Agriculture 1.3% 92% 1.5% CH4 from Enteric Fermentation in Domestic Livestock 1.2% 93% 2.6% CH4 from Solid Waste Disposal Sites 1.1% 94% N2O from Nitric Acid production 0.7% 94% Non-CO2 Stationary combustion-coal 0.6% 95% N2O Mobile combustion-road vehicles 97% 1.5% Non-CO2 Stationary combustion-coal 98% 1.8% e trends assessment is a measure of how the variation of a source category over years impacts on tot issions.

Outputs from Crawler (II): Synthesis & Assessment &A Part I consists of 100 tables aimed to facilitate the consideration of inventory data and ther information across Parties and the identification of issues for further consideration uring the review of individual inventories. pecific checks: IEF and other inventory data across Parties; emission and removal timates; AD, IEF, and comparison of AD with international statistics. tistics. mperate ecosystems Original natural ecosystem: Temperate - coniferous Original natural ecosystem: Temperate - broadleaf On- & off-site burning Decay On- & off-site burning Decay Difference Differe Area Average Annual net Average Average Annual net Area Average Annual net Average Average Annual net in annual in ann converted annual net loss of area annual net loss of converted annual net loss of area annual net loss of net loss of net los annually loss of biomass converted loss of biomass annually loss of biomass converted loss of biomass biomass biomass biomass biomass biomass biom kha/yr t dm/ha/yr kt dm/yr kha/yr t dm/ha/yr kt dm/yr t dm/ha/yr kha/yr t dm/ha/yr kt dm/yr kha/yr t dm/ha/yr kt dm/yr t dm/h 1 (220-295) (220-295) (175-250) (175-250) 6,488.10 0.25 1,611.90 3.20 33.9 108.34 0.00 na 1.20 19.7 23.66 135.70 1.0 135.70 114.20 114.20 13041.64-113.2 673.60 1.0 673.60 4.83 9.4 45.51 3.28 9.4 30.71 11.00 NA 853.29 NA NA 1,179.60 3.20 1.00 45.51 0.00 114.20 13,041.64-113.20 1.20 1.00 23.66 6,488.10 0.25 1,611.90 135.70 33.86 853.29 114.20 114.20 13,041.64-113.20 673.60 19.72 1,179.60 6,488.10 11.00 1,611.90 47.91 14.76 285.71 57.10 114.20 13,041.64-113.20 226.03 10.03 476.89 6,488.10 5.62 1,611.90

Online GHG Database eb database for public access and general external requests: http://ghg.unfccc.int Selection by Party (Annex I and non-annex I), Gas, Emission Source (IPCC),Years Tabular output in HTML (exportable to Excel) Web site is also used to disseminate material to the review experts and to ish of results of the review process. ssword protected download area is available for review experts.

Future developments Improved reporting software for Parties #Take into account new guidelines #Ensure flexibility for future changes (i.e. LULUCF) #Allow consistency check at the client-side #Streamline data processing routines Further enhancement of system #Move to an analysis-oriented structure #Develop additional/improve review software #Integrate existing tools, software, datasets