Difference between revisions of "Category:Uncertainty Working Group"
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[[Category:Working Group]] | [[Category:Working Group]] | ||
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== Overview == | == Overview == | ||
| − | In the LinkedEarth context, a [[:Category:Working_Group|working group]] (WG) is a self-organized coalition of knowledgeable experts, whose activities are governed [[:Category:Working_Group|herewith]]. This page is dedicated to the discussion of data and metadata standards for the [[:Category: | + | In the LinkedEarth context, a [[:Category:Working_Group|working group]] (WG) is a self-organized coalition of knowledgeable experts, whose activities are governed [[:Category:Working_Group|herewith]]. This page is dedicated to the discussion of data and metadata standards for the [[:Category:Uncertainty_(L) | uncertainty]] associated with ChronData and PaleoData. |
Members of 'Uncertainty Working Group'This working group has 6 members. | __MEMBERS__ | ||
| Line 10: | Line 9: | ||
We recommend that the discussions focus on the following considerations, and explore potential commonalities. | We recommend that the discussions focus on the following considerations, and explore potential commonalities. | ||
| + | |||
| + | [[File:MetadataDefinitions.png | thumb | right | 400px | Definition of essential, recommended, and desired in regards to paleoclimate data standards]] | ||
For each variable type, we recommend: | For each variable type, we recommend: | ||
* structuring discussions about how uncertainty can affect the scientific questions one would want to ask of the data. | * structuring discussions about how uncertainty can affect the scientific questions one would want to ask of the data. | ||
| − | * Listing essential, recommended, and | + | * Listing essential, recommended, and desired uncertainty information for: |
| − | ** The [[:Category: | + | ** The [[:Category:MeasuredVariable_(L) |measurements]] themselves |
| − | ** The [[:Category: | + | ** The [[:Category:InferredVariable_(L) | inferred climate information]] |
* Providing an '''ideal template''' to report uncertainty in paleoclimate studies. | * Providing an '''ideal template''' to report uncertainty in paleoclimate studies. | ||
* Providing separate recommendations for new and legacy datasets | * Providing separate recommendations for new and legacy datasets | ||
* Thinking about how the rest of the paleoscience community, or other (non)scientists may make use of the uncertainties you describe. | * Thinking about how the rest of the paleoscience community, or other (non)scientists may make use of the uncertainties you describe. | ||
| − | If you are aware of such standards for uncertainty applied in other fields, feel free to copy/paste or link here. | + | If you are aware of such standards for uncertainty applied in other fields, feel free to copy/paste or link here. |
| + | |||
| + | == Rationale == | ||
| + | |||
| + | The need to archive uncertainty associated with paleoclimate datasets was recognized at the workshop on representing and reducing uncertainties in high-resolution proxy climate data <ref name=ClivarWorshop2008> Cobb, K, Kiefer, T., Lough, J., Overpeck, J., Tudhope, S. 2008 Representing and reducing uncertainties in high-resolution proxy climate data. Report of a workshop sponsored by EPRI, NSF, NOAA, ICTP, PAGES/CLIVAR, June 9-11 2008, International Center for Theoretical Physics, Test Italy. http://www.clivar.org/sites/default/files/documents/TriesteReport_nov5.pdf </ref>. | ||
| + | <blockquote>Representing uncertainties in databases: The World Data Center for Paleoclimatology hosted by NOAA has, through archiving paleoclimatic data and reconstructions, facilitate an explosion of paleoclimate-related research. The down side of this significant archive is that data can easily be obtained and analyzed without knowledge of the limitations and uncertainties contained within individual paleoclimate datasets. Such knowledge, at present, usually, resides with the contributing researcher and there is a need to archive within the database standard measures of proxy data uncertainty. Additional common databasing requirements identified were better metadata to accompany each dataset and archiving of original measurements from the different proxy archives. The latter allows for subsequent improvements in techniques for data standardization (e.g., dealing with growth trends in tree rings), chronological control, better instrumental data for calibration purposes, improved knowledge of climate controls. This is particularly critical for proxy records whose age models evolve through time (through high-resolution dating and/or radiometric re-calibrations performed after the initial publication of the record.</blockquote> | ||
| + | |||
| + | The group highlighted that: | ||
| + | |||
| + | <blockquote>Workshop participants agreed to the importance of improving the representation of uncertainties accompanying contributions in high-resolution paleoclimate data is to adapt the archival process to encourage the collection, quantification and documentation of proxy-specific uncertainties and associated metadata and enhance the availability of high-resolution proxy climate data to multi-proxy effort and model-data inter comparison studies.</blockquote> | ||
== Types of Uncertainty == | == Types of Uncertainty == | ||
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| Analytical Uncertainty || Based on repeat measurements of a standard, 1SD || Or the nominal precision of the instrument (for instance error on weight measurements for a microbalance . | | Analytical Uncertainty || Based on repeat measurements of a standard, 1SD || Or the nominal precision of the instrument (for instance error on weight measurements for a microbalance . | ||
|- | |- | ||
| − | | Reproducibility || Based on repeat measurements of a sample || | + | | Reproducibility || Based on repeat measurements of a sample || "Most proxy climate data uncertainties are best quantified through sample replication. This has rarely been rigorously accomplished in the past, outside of dendroclimatology and even in this field, there was a call for greater numbers of samples." <ref name=ClivarWorshop2008 /> |
|} | |} | ||
| + | |||
| + | '''Note''': Do not edit the polls (even for typos) once voting has started as it will reset the vote counts to zero. If a change needs to be made, make an annotation above the old poll (i.e., above the poll tags) and place the new poll below the first one. | ||
| + | |||
| + | [[File:TwitterPoll Uncertainty 24hr.png|thumb|right|Results of Twitter Poll: 3/15/17]] | ||
| + | [[File:TwitterPoll Reproducibility.png |thumb|right|Results of Twitter Poll: 3/16/17-3/22/17]] | ||
<poll> | <poll> | ||
| Line 43: | Line 58: | ||
Desired Metadata | Desired Metadata | ||
</poll> | </poll> | ||
| + | |||
| + | == References == | ||
| + | <references \> | ||
Latest revision as of 20:21, 25 April 2017
Overview
In the LinkedEarth context, a working group (WG) is a self-organized coalition of knowledgeable experts, whose activities are governed herewith. This page is dedicated to the discussion of data and metadata standards for the uncertainty associated with ChronData and PaleoData.
__MEMBERS__
Specific Task
We recommend that the discussions focus on the following considerations, and explore potential commonalities.
For each variable type, we recommend:
- structuring discussions about how uncertainty can affect the scientific questions one would want to ask of the data.
- Listing essential, recommended, and desired uncertainty information for:
- The measurements themselves
- The inferred climate information
- Providing an ideal template to report uncertainty in paleoclimate studies.
- Providing separate recommendations for new and legacy datasets
- Thinking about how the rest of the paleoscience community, or other (non)scientists may make use of the uncertainties you describe.
If you are aware of such standards for uncertainty applied in other fields, feel free to copy/paste or link here.
Rationale
The need to archive uncertainty associated with paleoclimate datasets was recognized at the workshop on representing and reducing uncertainties in high-resolution proxy climate data [1].
Representing uncertainties in databases: The World Data Center for Paleoclimatology hosted by NOAA has, through archiving paleoclimatic data and reconstructions, facilitate an explosion of paleoclimate-related research. The down side of this significant archive is that data can easily be obtained and analyzed without knowledge of the limitations and uncertainties contained within individual paleoclimate datasets. Such knowledge, at present, usually, resides with the contributing researcher and there is a need to archive within the database standard measures of proxy data uncertainty. Additional common databasing requirements identified were better metadata to accompany each dataset and archiving of original measurements from the different proxy archives. The latter allows for subsequent improvements in techniques for data standardization (e.g., dealing with growth trends in tree rings), chronological control, better instrumental data for calibration purposes, improved knowledge of climate controls. This is particularly critical for proxy records whose age models evolve through time (through high-resolution dating and/or radiometric re-calibrations performed after the initial publication of the record.
The group highlighted that:
Workshop participants agreed to the importance of improving the representation of uncertainties accompanying contributions in high-resolution paleoclimate data is to adapt the archival process to encourage the collection, quantification and documentation of proxy-specific uncertainties and associated metadata and enhance the availability of high-resolution proxy climate data to multi-proxy effort and model-data inter comparison studies.
Types of Uncertainty
The discussion was started in the Discussion page for marine sediments
| Name | Definition | Notes |
|---|---|---|
| Analytical Uncertainty | Based on repeat measurements of a standard, 1SD | Or the nominal precision of the instrument (for instance error on weight measurements for a microbalance . |
| Reproducibility | Based on repeat measurements of a sample | "Most proxy climate data uncertainties are best quantified through sample replication. This has rarely been rigorously accomplished in the past, outside of dendroclimatology and even in this field, there was a call for greater numbers of samples." [1] |
Note: Do not edit the polls (even for typos) once voting has started as it will reset the vote counts to zero. If a change needs to be made, make an annotation above the old poll (i.e., above the poll tags) and place the new poll below the first one.
For the uncertainty based on reproducibility, should the number of repeat measurements used to determined the reproducibility be:
You are not entitled to vote.
You are not entitled to view results of this poll.
You are not entitled to view results of this poll.
There were 3 votes since the poll was created on 19:24, 8 March 2017.
poll-id B9E35C548946C0A15E64E231D2FFE830
References
- ↑ 1.0 1.1 Cobb, K, Kiefer, T., Lough, J., Overpeck, J., Tudhope, S. 2008 Representing and reducing uncertainties in high-resolution proxy climate data. Report of a workshop sponsored by EPRI, NSF, NOAA, ICTP, PAGES/CLIVAR, June 9-11 2008, International Center for Theoretical Physics, Test Italy. http://www.clivar.org/sites/default/files/documents/TriesteReport_nov5.pdf
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