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WP-K.2(Task 1: Traceability matrix consolidation) - D-K.2.2
  • DONE
  • WP-K.2(Task 1: Traceability matrix consolidation) - D-K.2.2

    lead: @Rachael Akinyede RA

    contributors: Christoph Gerbig, Andrea Kaiser-Weiss, Christian Plaß-Dülmer, Beatrice Ellerhoff, Hannes Imhof, Max Reuter

    related deliverable: D-K.2.2: Second Progress report including first consolidated Traceability Matrix [month: 24/o-15] (MPI-BGC)

    See Jira Metadata here: https://itmsgermany.atlassian.net/jira/software/c/projects/IK/boards/5?selectedIssue=IK-37

    Summary:

    This deliverable follows up on the first progress report and the conceptual design of a traceability matrix to track the progress of the ITMS project. It is aimed to consolidate (unify or reinforce) our plans for the traceability matrix based on discussions made at the ITMS Benchmarking Meeting on the 21st of Feb 2024 and follow-up discussions between the modules. These consolidated plans will be applied in the upcoming “Applied Traceability Matrix and updates at GMs deliverable” D-K3.2 part 2. In addition to this, it informs on the status of the yearly interim report to the funding agency, BMBF.

    1. Second progress report:
      All individual partners submitted the second interim progress report (for the year 2023) to the funding agency, BMBF on schedule.

    2. First consolidated Traceability Matrix:
      As reported in https://itmsgermany.atlassian.net/wiki/spaces/ITMS/pages/48562177, the two levels of traceability identified will be adopted: This includes one that tracks progress according to the schedule given by deliverables and milestones, otherwise known as the structural traceability matrix and one that evaluates progress according to the ITMS project aims measured by specific metrics, the so-called “performance-oriented” traceability matrix. A preliminary application of both matrices has been reported in https://itmsgermany.atlassian.net/wiki/spaces/ITMS/pages/53706757.

      1. Report on consolidated Structural Traceability Matrix:
        Consolidating the structural traceability matrix involves bringing together up-to-date information on the project schedule as provided by the project management infrastructure: Confluence and Jira as facilitated by the ITMS K-working group coordinators and are continuously being applied. Since the conceptual design of the structural traceability matrix, the pre-defined requirements for providing such reports are still in effect and have involved answering the following questions:

        • Was a deliverable/milestone submitted or reached?

        • Was it submitted/reached on time?

        • Was it reached as planned or with limitations/concessions?

        • What are current pending tasks and risky issues within the project?

        In addition to the above-mentioned, we planned to improve information accessibility in a single Confluence place for everyone within the project. The following was thus established:

        • Extended visualization of the status of deliverables and tasks to all principal investigators of all project partners via Jira Kanban boards ("todo", "ongoing", "done") including “red flagging” of tasks as a traffic light system in case of issues.

        • In events of severe issues, reporting on such “red flagging” to all project members via each Confluence Module space.

        • Submission of deliverables via Confluence pages.

        • Implementation of a 4-eye check as a review process for all deliverables submitted. The K-Working-group coordinators will be responsible for this, ensuring that all submitted deliverables and accompanying metadata are complete, accessible, fit for purpose, and understandable, amongst other criteria as decided by the reviewer or person performing the 4-eye check.

        Since all Jira information is still not yet easily accessible in a single place to all members of the project, we further aim to establish:

        • Extended visualization of the status of deliverables and tasks to all project members via Jira Kanban boards as described above.

      2. Report on consolidated Performance-oriented Traceability Matrix
        In developing a traceability matrix that evaluates the status of a greenhouse gas monitoring capability developed within ITMS, the use of key performance indicators (KPIs) was suggested. As a rule, each KPIs should be selected based on the following pre-defined requirements as previously reported:

        • Precision: Is the metric clearly defined, and is the success tested in a way that identifies and facilitates progress in the project?

        • Applicability: Can the metric be straightforwardly implemented?

        • Objectivity: Could someone else apply the measure and obtain the same result?

        • Communication: Can others understand it?()

        Here, we have consolidated all quantifiable KPIs applicable to the individual modules, including possible scoring metrics. These KPIs have been selected to benefit not just the planning of phase 2 but the entire envisioned phases of the project:

    Performance Indicators (KPIs) consolidated across all modules

    Performance Indicators (KPIs) consolidated across all modules

    Module B: KPIs (Abbreviation) →

    Documentation

    Timeliness

    Integration in ITMS

    Primary
    Data Quality Parameter

    Secondary
    Data Quality Parameter

     

     

     

     

     

    Metrics/Scores

     

     

     

     

     

    Excellent

    10

    Defined by data provider by adapting a template. Reviewed, e.g., by data user.

    ..

    ..

    ..

    ..

     

     

     

     

     

    9

    ..

     

     

     

     

     

     

     

     

     

    Very good

    8

    ..

     

     

     

     

     

     

     

     

     

    7

    ..

     

     

     

     

     

     

     

     

     

    Good

    6

    ..

     

     

     

     

     

     

     

     

     

    5

    ..

     

     

     

     

     

     

     

     

     

    Fair

    4

    ..

     

     

     

     

     

     

     

     

     

    3

    ..

     

     

     

     

     

     

     

     

     

    Basic

    2

    ..

     

     

     

     

     

     

     

     

     

    1

    ..

     

     

     

     

     

     

     

     

     

    Module K: KPIs (Abbreviation) →

    User-friendliness

    Interoperability

    Management Success

     

     

     

     

     

     

     

    Metrics/Scores

     

     

     

     

     

     

     

    Excellent

    10

    metric based on soft factors under development

    metric based on soft factors under development

    metric based on soft factors under development

     

     

     

     

     

     

     

    9

     

     

     

     

     

     

     

    Very good

    8

    metric based on soft factors under development

    metric based on soft factors under development

    metric based on soft factors under development

     

     

     

     

     

     

     

    7

     

     

     

     

     

     

     

    Good

    6

    metric based on soft factors under development

    metric based on soft factors under development

    metric based on soft factors under development

     

     

     

     

     

     

     

    5

     

     

     

     

     

     

     

    Fair

    4

    metric based on soft factors under development

    metric based on soft factors under development

    metric based on soft factors under development

     

     

     

     

     

     

     

    3

     

     

     

     

     

     

     

    Basic

    2

    metric based on soft factors under development

    metric based on soft factors under development

    metric based on soft factors under development

     

     

     

     

     

     

     

    1

     

     

     

     

     

     

     

    Module M: KPIs (Abbreviation) →

    Use of multiple Datastreams for Inversion

    Use of multiple Datastreams for Diagnostics

    Timeliness for provision of inversion products

    Uncertainty reporting

    Number of species treated: MPI

    Number of species treated: DWD

    Number of sectors treated: MPI

    Evaluation against external inversion systems

    Analysis of different settings (different locations, networks/data streams, tracers)

    User interaction/ Links to other projects and stakeholders (based on strength of interactions with links: A,B,C plus extra engagement)

    Metrics/Scores

    Excellent

    10

    all available ground based obs. + remote sensing + TCCON + COCCON

    + subset of each data stream set aside for validation (i.e. not used in inversion)

    Real real-time
    (within 3h)

     

    + spread of inversion ensemble (station subsets, prior fluxes, + satellite vs. ground based)

    5 (gross fluxes biosph. CO2 + anthr. CO2 + CH4+ N2O)

    gross fluxes biosph. CO2 + anthr. CO2 + CH4 + N2O + F-gases

    + all sectors contributing at least 10% of total emissions, 12 regions in Germany

    all of the below + for all different species

    3 cities, 6 monitoring configuration, 4 seasons, total CO2 and fossil fuel and biogenic CO2,yes

    Strong interaction with A,B,C plus citizen engagement

    9

    Near real-time
    (days)

    3 cities, 6 monitoring configurations, 4 seasons, total CO2 plus fossil fuel and biogenic CO2, no

    Strong interaction with A,B,C

    Very good

    8

    + night-time data

    + subset of each data stream set aside for validation (i.e. not used in inversion)

    Year -1 month

     

    + spread of inversion ensemble (station subsets, prior fluxes)

    4 (gross fluxes biosph. CO2 + anthr. CO2 + CH4)

    4 (biosph. CO2 + anthr. CO2 + CH4 + F-gases)

    all species: 4 sectors in Germany + lateral boundary correction

    detailed inter comparison protocol

    3 cities, 6 monitoring configurations, 2 seasons, total CO2 plus fossil fuel and biogenic CO2, no

    Strong interaction with A,B, weak interaction with C

    7

    Year -4 months

    2 cities, 6 monitoring configurations, one season, total CO2 plus fossil fuel and biogenic, yes

    Weak interaction with A,B,C plus citizen engagement

    Good

    6

    + additional vertical levels at tail towers

    + aircraft (IAGOS + campaigns)

    Year -1 year

     

    + monthly spatial maps

    3 (gross fluxes biosph. CO2 + CH4)

    CH4 + biosph. CO2 + anthr. CO2

    CH4: + lateral boundary correction

    CO2: simplified biospheric and anthropogenic

    + reporting of detailed inversion settings (prior error, model-data mismatch error, station set, posterior error)

    2 cities, 4 monitoring configurations, 3 seasons, total CO2 plus fossil fuel and biogenic, no

    Strong interaction with A,B, no interaction with C

    5

    Year -1.5 years

    1 city, 6 monitoring configurations, on season, total CO2 and fossil fuel and biogenic CO2, no

    Strong interaction with A, Weak interaction with B, No interaction with C

    Fair

    4

    all available ground based obs.

    subset of sites

    Year -2 years

    statistical posterior uncertainty at monthly/country scale

    2 (biosph. CO2 + CH4)

    CH4 + simplified biospheric CO2

    CH4: 4 sectors in Germany

    CO2: simplified biospheric (no vertical profile)

    posterior flux comparison

    1 city, 2 monitoring configurations, total CO2 and fossil fuel and biogenic CO2, yes

    Weak interaction with A and B, no interaction with C

    3

    Year -2.5 years

    1 city, 4 monitoring configurations, one season, total CO2, no

    Strong interaction with A, no interaction with B and C

    Basic

    2

    <20 ground based sites

    none

    Year -3 years

     

    none

    1 (biosph. CO2)

    Level 2: CH4 including time profiles

    Level 1: passive tracer with time-constant emissions

    no sectors, 4 regions in Germany

    none

    1 city, 2 monitoring configurations,one season, total CO2, no

    Weak interaction with A

    1

    On request

    1 city, no monitoring configuration

    Only outreach

    Module Q&S: KPIs (Abbreviation) →

    Resolution: Spatial

    Resolution: Temporal

    Uncertainties

    Timeliness

    Integration into Q&S Database (currently GRETA)

    Calculation Approach

    Data quality (detail level of input data, consistency)

    Data availability to ITMS

     

     

    Metrics/Scores

     

     

    Excellent

    10

    10 m

    hourly

    data from ensembles  and gridded

    real-time (within 3h)

    automatic integration into Q&S database

    model ensembles/ multiple models

    perfect (high resolution/ high consitentcy)

    good / low expenses

     

     

    9

    100 m

     

     

    near real-time (days/1 week)

     

     

     

     

     

     

    Very good

    8

    1 km

    daily

    data from ensembles

    year -1 month

     

    Tier 3

     

     

     

     

    7

    2 km

     

     

    year -4 month

    running own dataportal

     

    high resolution / middle consitency

     

     

     

    Good

    6

    4 km

    weekly

    gridded uncertainty (value ± error)

    year -1 year

     

     

    middle resolution / high consitency

     

     

     

    5

     

     

     

    year - 1.5 years

     

    Tier 2

    middle resolution / middle consitency

     

     

     

    Fair

    4

    6 km

    monthly

     

    year -2 years

    manual transfer to Q&S database

     

    high resolution / low consitency

     

     

     

    3

    10 km

     

    uncertainty per sector (value ± error)

    year -2.5 years

     

    Tier 1

    middle resolution / low consitency

     

     

     

    Basic

    2

     

    quarterly

     

    year - 3 years

     

     

     

     

     

     

    1

    25 km

    yearly

    no

    on request

    manual transfer to user

    guess

    low resolution / low consitency

    bad / high expenses

     

     

    Comments

     

     

     

     

     

     

     

     

     

     

    All the KPIs presented here will be further evaluated per module. They will also be evaluated as overall metrics in K by visualization using a spider graph. This is a tool useful in combining multiple metrics and comparing one system to the other in a single graph.

    Planned updates related to this deliverable:

    The traceability matrix and metrics for measurement will continuously be discussed at ITMS-K meetings and, in particular, before the due date of the following deliverables:

    • D-K.2.3: Third interim report including deliverable status updated traceability matrix [month: 36/o-39] (DWD).

    • D-K.2.4: Final report including deliverable status and updated traceability matrix [month: 48/o-51] (MPI-BGC)

     

     

    Go back to ITMS Module K or ITMS Evaluation Report_Home

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