hvidy / PIPE-4002-EarthByte-ModelAtlas

SIH repo for work on PIPE-4002
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M@TE submission request from [@username] #29

Open dansand opened 8 months ago

dansand commented 8 months ago

-> creator/contributor ORCID (or name)

0000-0003-3566-1557

-> slug

mather_2022_groundwater

-> field of Research (FoR) Codes

3706

-> license

GPL-3.0

-> model category

model published in study

-> associated publication DOI

10.1038/s41598-022-08384-w

-> title

No response

-> description

No response

-> model authors

No response

-> scientific keywords

Groundwater, inverse model, GAB

-> funder

https://ror.org/05mmh0f86

-> include model code ?

-> model code URI/DOI

No response

-> include model output data?

-> model output URI/DOI

https://zenodo.org/doi/10.5281/zenodo.5831990

-> software framework DOI/URI

https://zenodo.org/records/7455999

-> software framework source repository

https://github.com/underworldcode/underworld2

-> name of primary software framework (e.g. Underworld, ASPECT, Badlands, OpenFOAM)

No response

-> software framework authors

No response

-> software & algorithm keywords

Python, C, finite element,

-> computer URI/DOI

https://ror.org/04yx6dh41

-> add landing page image and caption

fig1

Here is a caption

-> add an animation (if relevant)

figure_2

-> add a graphic abstract figure (if relevant)

fig1

-> add a model setup figure (if relevant)

No response

-> add a description of your model setup

No response

github-actions[bot] commented 8 months ago

Thank you for submitting. Please check the output below, and fix any errors, etc.

Errors and Warnings

Model code URI/DOI Warning: No URI/DOI provided. Software Framework DOI/URI An error occurred during the request.Error: unable to parse software metadata. 'NoneType' object is not subscriptable Name of primary software framework Error: no name found Software framework authors Error: no authors found Animation Error: No caption found for image.

Graphic abstract Error: No caption found for image.

Model setup figure Warning: No image uploaded.

Model setup description Warning: No description given

Parsed data

Section 1: Summary of your model

Creator/Contributor Creator/contributor is Ben Mather (0000-0003-3566-1557)

Model Repository Slug Model repo will be created with name mather_2022_groundwater

Field of Research (FoR) Codes

License GNU General Public License v3.0

Model Category

Associated Publication Found publication: Constraining the response of continental-scale groundwater flow to climate change

Title Constraining the response of continental-scale groundwater flow to climate change

Description Numerical models of groundwater flow play a critical role for water management scenarios under climate extremes. Large-scale models play a key role in determining long range flow pathways from continental interiors to the oceans, yet struggle to simulate the local flow patterns offered by small-scale models. We have developed a highly scalable numerical framework to model continental groundwater flow which capture the intricate flow pathways between deep aquifers and the near-surface. The coupled thermal-hydraulic basin structure is inferred from hydraulic head measurements, recharge estimates from geochemical proxies, and borehole temperature data using a Bayesian framework. We use it to model the deep groundwater flow beneath the Sydney–Gunnedah–Bowen Basin, part of Australia’s largest aquifer system. Coastal aquifers have flow rates of up to 0.3 m/day, and a corresponding groundwater residence time of just 2,000 years. In contrast, our model predicts slow flow rates of 0.005 m/day for inland aquifers, resulting in a groundwater residence time of $$\sim $$</jats:tex-math>

 400,000 years. Perturbing the model to account for a drop in borehole water levels since 2000, we find that lengthened inland flow pathways depart significantly from pre-2000 streamlines as groundwater is drawn further from recharge zones in a drying climate. Our results illustrate that progressively increasing water extraction from inland aquifers may permanently alter long-range flow pathways. Our open-source modelling approach can be extended to any basin and may help inform policies on the sustainable management of groundwater. **Model Authors** - Ben Mather - R. Dietmar Müller - Craig O’Neill - Adam Beall - R. Willem Vervoort - Louis Moresi **Scientific Keywords** - Groundwater - inverse model - GAB **Funder** - Australian Research Council (https://ror.org/05mmh0f86) ## Section 2: your model code, output data **Include model code?** True **Include model output data?** True **Model output URI/DOI** https://zenodo.org/doi/10.5281/zenodo.5831990 ## Section 3: software framework and compute details **Software Repository** https://github.com/underworldcode/underworld2 **Software & algorithm keywords** - Python - C - finite element - **Computer URI/DOI** https://ror.org/04yx6dh41 ## Section 4: web material (for mate.science) **Landing page image** Filename: [fig1.png](https://github.com/hvidy/PIPE-4002-EarthByte-ModelAtlas/assets/10967872/34ce5499-0c00-4af3-a8cd-a8235d2d7097) Caption: Here is a caption **Animation** Filename: [figure_2.png](https://github.com/hvidy/PIPE-4002-EarthByte-ModelAtlas/assets/10967872/4977cd28-7d7f-4dd2-88c1-817e57ca740f) Caption: **Graphic abstract** Filename: [fig1.png](https://github.com/hvidy/PIPE-4002-EarthByte-ModelAtlas/assets/10967872/91c3905a-855d-4714-8d1a-270f43ccd5c3) Caption: ** Dumping dictionary during testing ** {'creator': {'@type': 'Person', '@id': 'https://orcid.org/0000-0003-3566-1557', 'givenName': 'Ben', 'familyName': 'Mather', 'affiliation': [{'@type': 'Organization', 'name': 'University of Sydney'}]}, 'slug': 'mather_2022_groundwater', 'for_codes': [{'@id': '#FoR_370604', '@type': 'DefinedTerm', 'name': 'Geodynamics'}], 'license': {'name': 'GNU General Public License v3.0', 'url': 'https://www.gnu.org/licenses/gpl-3.0-standalone.html'}, 'model_category': ['model published in study'], 'publication': {'@type': 'ScholarlyArticle', '@id': 'http://dx.doi.org/10.1038/s41598-022-08384-w', 'name': 'Constraining the response of continental-scale groundwater flow to climate change', 'isPartOf': ({'@type': 'PublicationIssue', 'issueNumber': '1', 'datePublished': '2022-3-16', 'isPartOf': {'@type': ['PublicationVolume', 'Periodical'], 'name': ['Scientific Reports'], 'issn': ['2045-2322'], 'volumeNumber': '12', 'publisher': 'Springer Science and Business Media LLC'}},), 'author': [{'@type': 'Person', 'givenName': 'Ben', 'familyName': 'Mather'}, {'@type': 'Person', 'givenName': 'R. Dietmar', 'familyName': 'Müller'}, {'@type': 'Person', 'givenName': 'Craig', 'familyName': 'O’Neill'}, {'@type': 'Person', 'givenName': 'Adam', 'familyName': 'Beall'}, {'@type': 'Person', 'givenName': 'R. Willem', 'familyName': 'Vervoort'}, {'@type': 'Person', 'givenName': 'Louis', 'familyName': 'Moresi'}], 'abstract': 'Numerical models of groundwater flow play a critical role for water management scenarios under climate extremes. Large-scale models play a key role in determining long range flow pathways from continental interiors to the oceans, yet struggle to simulate the local flow patterns offered by small-scale models. We have developed a highly scalable numerical framework to model continental groundwater flow which capture the intricate flow pathways between deep aquifers and the near-surface. The coupled thermal-hydraulic basin structure is inferred from hydraulic head measurements, recharge estimates from geochemical proxies, and borehole temperature data using a Bayesian framework. We use it to model the deep groundwater flow beneath the Sydney–Gunnedah–Bowen Basin, part of Australia’s largest aquifer system. Coastal aquifers have flow rates of up to 0.3\xa0m/day, and a corresponding groundwater residence time of just 2,000\xa0years. In contrast, our model predicts slow flow rates of 0.005\xa0m/day for inland aquifers, resulting in a groundwater residence time of $$\\sim $$\n \n \xa0400,000 years. Perturbing the model to account for a drop in borehole water levels since 2000, we find that lengthened inland flow pathways depart significantly from pre-2000 streamlines as groundwater is drawn further from recharge zones in a drying climate. Our results illustrate that progressively increasing water extraction from inland aquifers may permanently alter long-range flow pathways. Our open-source modelling approach can be extended to any basin and may help inform policies on the sustainable management of groundwater.', 'identifier': ['8384']}, 'title': 'Constraining the response of continental-scale groundwater flow to climate change', 'description': 'Numerical models of groundwater flow play a critical role for water management scenarios under climate extremes. Large-scale models play a key role in determining long range flow pathways from continental interiors to the oceans, yet struggle to simulate the local flow patterns offered by small-scale models. We have developed a highly scalable numerical framework to model continental groundwater flow which capture the intricate flow pathways between deep aquifers and the near-surface. The coupled thermal-hydraulic basin structure is inferred from hydraulic head measurements, recharge estimates from geochemical proxies, and borehole temperature data using a Bayesian framework. We use it to model the deep groundwater flow beneath the Sydney–Gunnedah–Bowen Basin, part of Australia’s largest aquifer system. Coastal aquifers have flow rates of up to 0.3\xa0m/day, and a corresponding groundwater residence time of just 2,000\xa0years. In contrast, our model predicts slow flow rates of 0.005\xa0m/day for inland aquifers, resulting in a groundwater residence time of $$\\sim $$\n \n \xa0400,000 years. Perturbing the model to account for a drop in borehole water levels since 2000, we find that lengthened inland flow pathways depart significantly from pre-2000 streamlines as groundwater is drawn further from recharge zones in a drying climate. Our results illustrate that progressively increasing water extraction from inland aquifers may permanently alter long-range flow pathways. Our open-source modelling approach can be extended to any basin and may help inform policies on the sustainable management of groundwater.', 'authors': [{'@type': 'Person', 'givenName': 'Ben', 'familyName': 'Mather'}, {'@type': 'Person', 'givenName': 'R. Dietmar', 'familyName': 'Müller'}, {'@type': 'Person', 'givenName': 'Craig', 'familyName': 'O’Neill'}, {'@type': 'Person', 'givenName': 'Adam', 'familyName': 'Beall'}, {'@type': 'Person', 'givenName': 'R. Willem', 'familyName': 'Vervoort'}, {'@type': 'Person', 'givenName': 'Louis', 'familyName': 'Moresi'}], 'keywords': ['Groundwater', 'inverse model', 'GAB'], 'funder': [{'@type': 'Organization', '@id': 'https://ror.org/05mmh0f86', 'name': 'Australian Research Council'}], 'include_model_code': True, 'include_model_output': True, 'model_output_uri': 'https://zenodo.org/doi/10.5281/zenodo.5831990', 'software': {'codeRepository': 'https://github.com/underworldcode/underworld2', 'keywords': ['Python', 'C', 'finite element', '']}, 'computer_uri': 'https://ror.org/04yx6dh41', 'landing_image': {'filename': 'fig1.png', 'url': 'https://github.com/hvidy/PIPE-4002-EarthByte-ModelAtlas/assets/10967872/34ce5499-0c00-4af3-a8cd-a8235d2d7097', 'caption': '\nHere is a caption'}, 'animation': {'filename': 'figure_2.png', 'url': 'https://github.com/hvidy/PIPE-4002-EarthByte-ModelAtlas/assets/10967872/4977cd28-7d7f-4dd2-88c1-817e57ca740f', 'caption': ''}, 'graphic_abstract': {'filename': 'fig1.png', 'url': 'https://github.com/hvidy/PIPE-4002-EarthByte-ModelAtlas/assets/10967872/91c3905a-855d-4714-8d1a-270f43ccd5c3', 'caption': ''}}
github-actions[bot] commented 8 months ago

Thank you for submitting. Please check the output below, and fix any errors, etc.

Errors and Warnings

Model code URI/DOI Warning: No URI/DOI provided. Software Framework DOI/URI An error occurred during the request.Error: unable to parse software metadata. 'NoneType' object is not subscriptable Name of primary software framework Error: no name found Software framework authors Error: no authors found Animation Error: No caption found for image.

Graphic abstract Error: No caption found for image.

Model setup figure Warning: No image uploaded.

Model setup description Warning: No description given

Parsed data

Section 1: Summary of your model

Creator/Contributor Creator/contributor is Ben Mather (0000-0003-3566-1557)

Model Repository Slug Model repo will be created with name mather_2022_groundwater

Field of Research (FoR) Codes

License GNU General Public License v3.0

Model Category

Associated Publication Found publication: Constraining the response of continental-scale groundwater flow to climate change

Title Constraining the response of continental-scale groundwater flow to climate change

Description Numerical models of groundwater flow play a critical role for water management scenarios under climate extremes. Large-scale models play a key role in determining long range flow pathways from continental interiors to the oceans, yet struggle to simulate the local flow patterns offered by small-scale models. We have developed a highly scalable numerical framework to model continental groundwater flow which capture the intricate flow pathways between deep aquifers and the near-surface. The coupled thermal-hydraulic basin structure is inferred from hydraulic head measurements, recharge estimates from geochemical proxies, and borehole temperature data using a Bayesian framework. We use it to model the deep groundwater flow beneath the Sydney–Gunnedah–Bowen Basin, part of Australia’s largest aquifer system. Coastal aquifers have flow rates of up to 0.3 m/day, and a corresponding groundwater residence time of just 2,000 years. In contrast, our model predicts slow flow rates of 0.005 m/day for inland aquifers, resulting in a groundwater residence time of $$\sim $$</jats:tex-math>

 400,000 years. Perturbing the model to account for a drop in borehole water levels since 2000, we find that lengthened inland flow pathways depart significantly from pre-2000 streamlines as groundwater is drawn further from recharge zones in a drying climate. Our results illustrate that progressively increasing water extraction from inland aquifers may permanently alter long-range flow pathways. Our open-source modelling approach can be extended to any basin and may help inform policies on the sustainable management of groundwater. **Model Authors** - Ben Mather - R. Dietmar Müller - Craig O’Neill - Adam Beall - R. Willem Vervoort - Louis Moresi **Scientific Keywords** - Groundwater - inverse model - GAB **Funder** - Australian Research Council (https://ror.org/05mmh0f86) ## Section 2: your model code, output data **Include model code?** True **Include model output data?** True **Model output URI/DOI** https://zenodo.org/doi/10.5281/zenodo.5831990 ## Section 3: software framework and compute details **Software Repository** https://github.com/underworldcode/underworld2 **Software & algorithm keywords** - Python - C - finite element - **Computer URI/DOI** https://ror.org/04yx6dh41 ## Section 4: web material (for mate.science) **Landing page image** Filename: [fig1.png](https://github.com/hvidy/PIPE-4002-EarthByte-ModelAtlas/assets/10967872/34ce5499-0c00-4af3-a8cd-a8235d2d7097) Caption: Here is a caption **Animation** Filename: [figure_2.png](https://github.com/hvidy/PIPE-4002-EarthByte-ModelAtlas/assets/10967872/4977cd28-7d7f-4dd2-88c1-817e57ca740f) Caption: **Graphic abstract** Filename: [fig1.png](https://github.com/hvidy/PIPE-4002-EarthByte-ModelAtlas/assets/10967872/91c3905a-855d-4714-8d1a-270f43ccd5c3) Caption: ** Dumping dictionary during testing ** {'creator': {'@type': 'Person', '@id': 'https://orcid.org/0000-0003-3566-1557', 'givenName': 'Ben', 'familyName': 'Mather', 'affiliation': [{'@type': 'Organization', 'name': 'University of Sydney'}]}, 'slug': 'mather_2022_groundwater', 'for_codes': [{'@id': '#FoR_370604', '@type': 'DefinedTerm', 'name': 'Geodynamics'}], 'license': {'name': 'GNU General Public License v3.0', 'url': 'https://www.gnu.org/licenses/gpl-3.0-standalone.html'}, 'model_category': ['model published in study'], 'publication': {'@type': 'ScholarlyArticle', '@id': 'http://dx.doi.org/10.1038/s41598-022-08384-w', 'name': 'Constraining the response of continental-scale groundwater flow to climate change', 'isPartOf': ({'@type': 'PublicationIssue', 'issueNumber': '1', 'datePublished': '2022-3-16', 'isPartOf': {'@type': ['PublicationVolume', 'Periodical'], 'name': ['Scientific Reports'], 'issn': ['2045-2322'], 'volumeNumber': '12', 'publisher': 'Springer Science and Business Media LLC'}},), 'author': [{'@type': 'Person', 'givenName': 'Ben', 'familyName': 'Mather'}, {'@type': 'Person', 'givenName': 'R. Dietmar', 'familyName': 'Müller'}, {'@type': 'Person', 'givenName': 'Craig', 'familyName': 'O’Neill'}, {'@type': 'Person', 'givenName': 'Adam', 'familyName': 'Beall'}, {'@type': 'Person', 'givenName': 'R. Willem', 'familyName': 'Vervoort'}, {'@type': 'Person', 'givenName': 'Louis', 'familyName': 'Moresi'}], 'abstract': 'Numerical models of groundwater flow play a critical role for water management scenarios under climate extremes. Large-scale models play a key role in determining long range flow pathways from continental interiors to the oceans, yet struggle to simulate the local flow patterns offered by small-scale models. We have developed a highly scalable numerical framework to model continental groundwater flow which capture the intricate flow pathways between deep aquifers and the near-surface. The coupled thermal-hydraulic basin structure is inferred from hydraulic head measurements, recharge estimates from geochemical proxies, and borehole temperature data using a Bayesian framework. We use it to model the deep groundwater flow beneath the Sydney–Gunnedah–Bowen Basin, part of Australia’s largest aquifer system. Coastal aquifers have flow rates of up to 0.3\xa0m/day, and a corresponding groundwater residence time of just 2,000\xa0years. In contrast, our model predicts slow flow rates of 0.005\xa0m/day for inland aquifers, resulting in a groundwater residence time of $$\\sim $$\n \n \xa0400,000 years. Perturbing the model to account for a drop in borehole water levels since 2000, we find that lengthened inland flow pathways depart significantly from pre-2000 streamlines as groundwater is drawn further from recharge zones in a drying climate. Our results illustrate that progressively increasing water extraction from inland aquifers may permanently alter long-range flow pathways. Our open-source modelling approach can be extended to any basin and may help inform policies on the sustainable management of groundwater.', 'identifier': ['8384']}, 'title': 'Constraining the response of continental-scale groundwater flow to climate change', 'description': 'Numerical models of groundwater flow play a critical role for water management scenarios under climate extremes. Large-scale models play a key role in determining long range flow pathways from continental interiors to the oceans, yet struggle to simulate the local flow patterns offered by small-scale models. We have developed a highly scalable numerical framework to model continental groundwater flow which capture the intricate flow pathways between deep aquifers and the near-surface. The coupled thermal-hydraulic basin structure is inferred from hydraulic head measurements, recharge estimates from geochemical proxies, and borehole temperature data using a Bayesian framework. We use it to model the deep groundwater flow beneath the Sydney–Gunnedah–Bowen Basin, part of Australia’s largest aquifer system. Coastal aquifers have flow rates of up to 0.3\xa0m/day, and a corresponding groundwater residence time of just 2,000\xa0years. In contrast, our model predicts slow flow rates of 0.005\xa0m/day for inland aquifers, resulting in a groundwater residence time of $$\\sim $$\n \n \xa0400,000 years. Perturbing the model to account for a drop in borehole water levels since 2000, we find that lengthened inland flow pathways depart significantly from pre-2000 streamlines as groundwater is drawn further from recharge zones in a drying climate. Our results illustrate that progressively increasing water extraction from inland aquifers may permanently alter long-range flow pathways. Our open-source modelling approach can be extended to any basin and may help inform policies on the sustainable management of groundwater.', 'authors': [{'@type': 'Person', 'givenName': 'Ben', 'familyName': 'Mather'}, {'@type': 'Person', 'givenName': 'R. Dietmar', 'familyName': 'Müller'}, {'@type': 'Person', 'givenName': 'Craig', 'familyName': 'O’Neill'}, {'@type': 'Person', 'givenName': 'Adam', 'familyName': 'Beall'}, {'@type': 'Person', 'givenName': 'R. Willem', 'familyName': 'Vervoort'}, {'@type': 'Person', 'givenName': 'Louis', 'familyName': 'Moresi'}], 'keywords': ['Groundwater', 'inverse model', 'GAB'], 'funder': [{'@type': 'Organization', '@id': 'https://ror.org/05mmh0f86', 'name': 'Australian Research Council'}], 'include_model_code': True, 'include_model_output': True, 'model_output_uri': 'https://zenodo.org/doi/10.5281/zenodo.5831990', 'software': {'codeRepository': 'https://github.com/underworldcode/underworld2', 'keywords': ['Python', 'C', 'finite element', '']}, 'computer_uri': 'https://ror.org/04yx6dh41', 'landing_image': {'filename': 'fig1.png', 'url': 'https://github.com/hvidy/PIPE-4002-EarthByte-ModelAtlas/assets/10967872/34ce5499-0c00-4af3-a8cd-a8235d2d7097', 'caption': '\nHere is a caption'}, 'animation': {'filename': 'figure_2.png', 'url': 'https://github.com/hvidy/PIPE-4002-EarthByte-ModelAtlas/assets/10967872/4977cd28-7d7f-4dd2-88c1-817e57ca740f', 'caption': ''}, 'graphic_abstract': {'filename': 'fig1.png', 'url': 'https://github.com/hvidy/PIPE-4002-EarthByte-ModelAtlas/assets/10967872/91c3905a-855d-4714-8d1a-270f43ccd5c3', 'caption': ''}}
github-actions[bot] commented 8 months ago

Thank you for submitting. Please check the output below, and fix any errors, etc.

Errors and Warnings

Model code URI/DOI Warning: No URI/DOI provided. Software Framework DOI/URI An error occurred during the request.Error: unable to parse software metadata. 'NoneType' object is not subscriptable Name of primary software framework Error: no name found Software framework authors Error: no authors found Animation Error: No caption found for image.

Graphic abstract Error: No caption found for image.

Model setup figure Warning: No image uploaded.

Model setup description Warning: No description given

Parsed data

Section 1: Summary of your model

Creator/Contributor Creator/contributor is Ben Mather (0000-0003-3566-1557)

Model Repository Slug Model repo will be created with name mather_2022_groundwater

Field of Research (FoR) Codes

License GNU General Public License v3.0

Model Category

Associated Publication Found publication: Constraining the response of continental-scale groundwater flow to climate change

Title Constraining the response of continental-scale groundwater flow to climate change

Description Numerical models of groundwater flow play a critical role for water management scenarios under climate extremes. Large-scale models play a key role in determining long range flow pathways from continental interiors to the oceans, yet struggle to simulate the local flow patterns offered by small-scale models. We have developed a highly scalable numerical framework to model continental groundwater flow which capture the intricate flow pathways between deep aquifers and the near-surface. The coupled thermal-hydraulic basin structure is inferred from hydraulic head measurements, recharge estimates from geochemical proxies, and borehole temperature data using a Bayesian framework. We use it to model the deep groundwater flow beneath the Sydney–Gunnedah–Bowen Basin, part of Australia’s largest aquifer system. Coastal aquifers have flow rates of up to 0.3 m/day, and a corresponding groundwater residence time of just 2,000 years. In contrast, our model predicts slow flow rates of 0.005 m/day for inland aquifers, resulting in a groundwater residence time of $$\sim $$</jats:tex-math>

 400,000 years. Perturbing the model to account for a drop in borehole water levels since 2000, we find that lengthened inland flow pathways depart significantly from pre-2000 streamlines as groundwater is drawn further from recharge zones in a drying climate. Our results illustrate that progressively increasing water extraction from inland aquifers may permanently alter long-range flow pathways. Our open-source modelling approach can be extended to any basin and may help inform policies on the sustainable management of groundwater. **Model Authors** - Ben Mather - R. Dietmar Müller - Craig O’Neill - Adam Beall - R. Willem Vervoort - Louis Moresi **Scientific Keywords** - Groundwater - inverse model - GAB **Funder** - Australian Research Council (https://ror.org/05mmh0f86) ## Section 2: your model code, output data **Include model code?** True **Include model output data?** True **Model output URI/DOI** https://zenodo.org/doi/10.5281/zenodo.5831990 ## Section 3: software framework and compute details **Software Repository** https://github.com/underworldcode/underworld2 **Software & algorithm keywords** - Python - C - finite element - **Computer URI/DOI** https://ror.org/04yx6dh41 ## Section 4: web material (for mate.science) **Landing page image** Filename: [fig1.png](https://github.com/hvidy/PIPE-4002-EarthByte-ModelAtlas/assets/10967872/34ce5499-0c00-4af3-a8cd-a8235d2d7097) Caption: Here is a caption **Animation** Filename: [figure_2.png](https://github.com/hvidy/PIPE-4002-EarthByte-ModelAtlas/assets/10967872/4977cd28-7d7f-4dd2-88c1-817e57ca740f) Caption: **Graphic abstract** Filename: [fig1.png](https://github.com/hvidy/PIPE-4002-EarthByte-ModelAtlas/assets/10967872/91c3905a-855d-4714-8d1a-270f43ccd5c3) Caption: ** Dumping dictionary during testing ** {'creator': {'@type': 'Person', '@id': 'https://orcid.org/0000-0003-3566-1557', 'givenName': 'Ben', 'familyName': 'Mather', 'affiliation': [{'@type': 'Organization', 'name': 'University of Sydney'}]}, 'slug': 'mather_2022_groundwater', 'for_codes': [{'@id': '#FoR_370604', '@type': 'DefinedTerm', 'name': 'Geodynamics'}], 'license': {'name': 'GNU General Public License v3.0', 'url': 'https://www.gnu.org/licenses/gpl-3.0-standalone.html'}, 'model_category': ['model published in study'], 'publication': {'@type': 'ScholarlyArticle', '@id': 'http://dx.doi.org/10.1038/s41598-022-08384-w', 'name': 'Constraining the response of continental-scale groundwater flow to climate change', 'isPartOf': ({'@type': 'PublicationIssue', 'issueNumber': '1', 'datePublished': '2022-3-16', 'isPartOf': {'@type': ['PublicationVolume', 'Periodical'], 'name': ['Scientific Reports'], 'issn': ['2045-2322'], 'volumeNumber': '12', 'publisher': 'Springer Science and Business Media LLC'}},), 'author': [{'@type': 'Person', 'givenName': 'Ben', 'familyName': 'Mather'}, {'@type': 'Person', 'givenName': 'R. Dietmar', 'familyName': 'Müller'}, {'@type': 'Person', 'givenName': 'Craig', 'familyName': 'O’Neill'}, {'@type': 'Person', 'givenName': 'Adam', 'familyName': 'Beall'}, {'@type': 'Person', 'givenName': 'R. Willem', 'familyName': 'Vervoort'}, {'@type': 'Person', 'givenName': 'Louis', 'familyName': 'Moresi'}], 'abstract': 'Numerical models of groundwater flow play a critical role for water management scenarios under climate extremes. Large-scale models play a key role in determining long range flow pathways from continental interiors to the oceans, yet struggle to simulate the local flow patterns offered by small-scale models. We have developed a highly scalable numerical framework to model continental groundwater flow which capture the intricate flow pathways between deep aquifers and the near-surface. The coupled thermal-hydraulic basin structure is inferred from hydraulic head measurements, recharge estimates from geochemical proxies, and borehole temperature data using a Bayesian framework. We use it to model the deep groundwater flow beneath the Sydney–Gunnedah–Bowen Basin, part of Australia’s largest aquifer system. Coastal aquifers have flow rates of up to 0.3\xa0m/day, and a corresponding groundwater residence time of just 2,000\xa0years. In contrast, our model predicts slow flow rates of 0.005\xa0m/day for inland aquifers, resulting in a groundwater residence time of $$\\sim $$\n \n \xa0400,000 years. Perturbing the model to account for a drop in borehole water levels since 2000, we find that lengthened inland flow pathways depart significantly from pre-2000 streamlines as groundwater is drawn further from recharge zones in a drying climate. Our results illustrate that progressively increasing water extraction from inland aquifers may permanently alter long-range flow pathways. Our open-source modelling approach can be extended to any basin and may help inform policies on the sustainable management of groundwater.', 'identifier': ['8384']}, 'title': 'Constraining the response of continental-scale groundwater flow to climate change', 'description': 'Numerical models of groundwater flow play a critical role for water management scenarios under climate extremes. Large-scale models play a key role in determining long range flow pathways from continental interiors to the oceans, yet struggle to simulate the local flow patterns offered by small-scale models. We have developed a highly scalable numerical framework to model continental groundwater flow which capture the intricate flow pathways between deep aquifers and the near-surface. The coupled thermal-hydraulic basin structure is inferred from hydraulic head measurements, recharge estimates from geochemical proxies, and borehole temperature data using a Bayesian framework. We use it to model the deep groundwater flow beneath the Sydney–Gunnedah–Bowen Basin, part of Australia’s largest aquifer system. Coastal aquifers have flow rates of up to 0.3\xa0m/day, and a corresponding groundwater residence time of just 2,000\xa0years. In contrast, our model predicts slow flow rates of 0.005\xa0m/day for inland aquifers, resulting in a groundwater residence time of $$\\sim $$\n \n \xa0400,000 years. Perturbing the model to account for a drop in borehole water levels since 2000, we find that lengthened inland flow pathways depart significantly from pre-2000 streamlines as groundwater is drawn further from recharge zones in a drying climate. 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github-actions[bot] commented 8 months ago

Thank you for submitting. Please check the output below, and fix any errors, etc.

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Model code URI/DOI Warning: No URI/DOI provided. Software Framework DOI/URI An error occurred during the request.Error: unable to parse software metadata. 'NoneType' object is not subscriptable Name of primary software framework Error: no name found Software framework authors Error: no authors found Animation Error: No caption found for image.

Graphic abstract Error: No caption found for image.

Model setup figure Warning: No image uploaded.

Model setup description Warning: No description given

Parsed data

Section 1: Summary of your model

Creator/Contributor Creator/contributor is Ben Mather (0000-0003-3566-1557)

Model Repository Slug Model repo will be created with name mather_2022_groundwater

Field of Research (FoR) Codes

License GNU General Public License v3.0

Model Category

Associated Publication Found publication: Constraining the response of continental-scale groundwater flow to climate change

Title Constraining the response of continental-scale groundwater flow to climate change

Description Numerical models of groundwater flow play a critical role for water management scenarios under climate extremes. Large-scale models play a key role in determining long range flow pathways from continental interiors to the oceans, yet struggle to simulate the local flow patterns offered by small-scale models. We have developed a highly scalable numerical framework to model continental groundwater flow which capture the intricate flow pathways between deep aquifers and the near-surface. The coupled thermal-hydraulic basin structure is inferred from hydraulic head measurements, recharge estimates from geochemical proxies, and borehole temperature data using a Bayesian framework. We use it to model the deep groundwater flow beneath the Sydney–Gunnedah–Bowen Basin, part of Australia’s largest aquifer system. Coastal aquifers have flow rates of up to 0.3 m/day, and a corresponding groundwater residence time of just 2,000 years. In contrast, our model predicts slow flow rates of 0.005 m/day for inland aquifers, resulting in a groundwater residence time of $$\sim $$</jats:tex-math>

 400,000 years. Perturbing the model to account for a drop in borehole water levels since 2000, we find that lengthened inland flow pathways depart significantly from pre-2000 streamlines as groundwater is drawn further from recharge zones in a drying climate. Our results illustrate that progressively increasing water extraction from inland aquifers may permanently alter long-range flow pathways. Our open-source modelling approach can be extended to any basin and may help inform policies on the sustainable management of groundwater. **Model Authors** - Ben Mather - R. Dietmar Müller - Craig O’Neill - Adam Beall - R. Willem Vervoort - Louis Moresi **Scientific Keywords** - Groundwater - inverse model - GAB **Funder** - Australian Research Council (https://ror.org/05mmh0f86) ## Section 2: your model code, output data **Include model code?** True **Include model output data?** True **Model output URI/DOI** https://zenodo.org/doi/10.5281/zenodo.5831990 ## Section 3: software framework and compute details **Software Repository** https://github.com/underworldcode/underworld2 **Software & algorithm keywords** - Python - C - finite element - **Computer URI/DOI** https://ror.org/04yx6dh41 ## Section 4: web material (for mate.science) **Landing page image** Filename: [fig1.png](https://github.com/hvidy/PIPE-4002-EarthByte-ModelAtlas/assets/10967872/34ce5499-0c00-4af3-a8cd-a8235d2d7097) Caption: Here is a caption **Animation** Filename: [figure_2.png](https://github.com/hvidy/PIPE-4002-EarthByte-ModelAtlas/assets/10967872/4977cd28-7d7f-4dd2-88c1-817e57ca740f) Caption: **Graphic abstract** Filename: [fig1.png](https://github.com/hvidy/PIPE-4002-EarthByte-ModelAtlas/assets/10967872/91c3905a-855d-4714-8d1a-270f43ccd5c3) Caption: ** Dumping dictionary during testing ** {'creator': {'@type': 'Person', '@id': 'https://orcid.org/0000-0003-3566-1557', 'givenName': 'Ben', 'familyName': 'Mather', 'affiliation': [{'@type': 'Organization', 'name': 'University of Sydney'}]}, 'slug': 'mather_2022_groundwater', 'for_codes': [{'@id': '#FoR_370604', '@type': 'DefinedTerm', 'name': 'Geodynamics'}], 'license': {'name': 'GNU General Public License v3.0', 'url': 'https://www.gnu.org/licenses/gpl-3.0-standalone.html'}, 'model_category': ['model published in study'], 'publication': {'@type': 'ScholarlyArticle', '@id': 'http://dx.doi.org/10.1038/s41598-022-08384-w', 'name': 'Constraining the response of continental-scale groundwater flow to climate change', 'isPartOf': ({'@type': 'PublicationIssue', 'issueNumber': '1', 'datePublished': '2022-3-16', 'isPartOf': {'@type': ['PublicationVolume', 'Periodical'], 'name': ['Scientific Reports'], 'issn': ['2045-2322'], 'volumeNumber': '12', 'publisher': 'Springer Science and Business Media LLC'}},), 'author': [{'@type': 'Person', 'givenName': 'Ben', 'familyName': 'Mather'}, {'@type': 'Person', 'givenName': 'R. Dietmar', 'familyName': 'Müller'}, {'@type': 'Person', 'givenName': 'Craig', 'familyName': 'O’Neill'}, {'@type': 'Person', 'givenName': 'Adam', 'familyName': 'Beall'}, {'@type': 'Person', 'givenName': 'R. Willem', 'familyName': 'Vervoort'}, {'@type': 'Person', 'givenName': 'Louis', 'familyName': 'Moresi'}], 'abstract': 'Numerical models of groundwater flow play a critical role for water management scenarios under climate extremes. Large-scale models play a key role in determining long range flow pathways from continental interiors to the oceans, yet struggle to simulate the local flow patterns offered by small-scale models. We have developed a highly scalable numerical framework to model continental groundwater flow which capture the intricate flow pathways between deep aquifers and the near-surface. The coupled thermal-hydraulic basin structure is inferred from hydraulic head measurements, recharge estimates from geochemical proxies, and borehole temperature data using a Bayesian framework. We use it to model the deep groundwater flow beneath the Sydney–Gunnedah–Bowen Basin, part of Australia’s largest aquifer system. Coastal aquifers have flow rates of up to 0.3\xa0m/day, and a corresponding groundwater residence time of just 2,000\xa0years. In contrast, our model predicts slow flow rates of 0.005\xa0m/day for inland aquifers, resulting in a groundwater residence time of $$\\sim $$\n \n \xa0400,000 years. Perturbing the model to account for a drop in borehole water levels since 2000, we find that lengthened inland flow pathways depart significantly from pre-2000 streamlines as groundwater is drawn further from recharge zones in a drying climate. Our results illustrate that progressively increasing water extraction from inland aquifers may permanently alter long-range flow pathways. Our open-source modelling approach can be extended to any basin and may help inform policies on the sustainable management of groundwater.', 'identifier': ['8384']}, 'title': 'Constraining the response of continental-scale groundwater flow to climate change', 'description': 'Numerical models of groundwater flow play a critical role for water management scenarios under climate extremes. Large-scale models play a key role in determining long range flow pathways from continental interiors to the oceans, yet struggle to simulate the local flow patterns offered by small-scale models. We have developed a highly scalable numerical framework to model continental groundwater flow which capture the intricate flow pathways between deep aquifers and the near-surface. The coupled thermal-hydraulic basin structure is inferred from hydraulic head measurements, recharge estimates from geochemical proxies, and borehole temperature data using a Bayesian framework. We use it to model the deep groundwater flow beneath the Sydney–Gunnedah–Bowen Basin, part of Australia’s largest aquifer system. Coastal aquifers have flow rates of up to 0.3\xa0m/day, and a corresponding groundwater residence time of just 2,000\xa0years. In contrast, our model predicts slow flow rates of 0.005\xa0m/day for inland aquifers, resulting in a groundwater residence time of $$\\sim $$\n \n \xa0400,000 years. Perturbing the model to account for a drop in borehole water levels since 2000, we find that lengthened inland flow pathways depart significantly from pre-2000 streamlines as groundwater is drawn further from recharge zones in a drying climate. 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github-actions[bot] commented 8 months ago

Thank you for submitting. Please check the output below, and fix any errors, etc.

Errors and Warnings

Model code URI/DOI Warning: No URI/DOI provided. Software Framework DOI/URI An error occurred during the request.Error: unable to parse software metadata. 'NoneType' object is not subscriptable Name of primary software framework Error: no name found Software framework authors Error: no authors found Animation Error: No caption found for image.

Graphic abstract Error: No caption found for image.

Model setup figure Warning: No image uploaded.

Model setup description Warning: No description given

Parsed data

Section 1: Summary of your model

Creator/Contributor Creator/contributor is Ben Mather (0000-0003-3566-1557)

Model Repository Slug Model repo will be created with name mather_2022_groundwater

Field of Research (FoR) Codes

License GNU General Public License v3.0

Model Category

Associated Publication Found publication: Constraining the response of continental-scale groundwater flow to climate change

Title Constraining the response of continental-scale groundwater flow to climate change

Description Numerical models of groundwater flow play a critical role for water management scenarios under climate extremes. Large-scale models play a key role in determining long range flow pathways from continental interiors to the oceans, yet struggle to simulate the local flow patterns offered by small-scale models. We have developed a highly scalable numerical framework to model continental groundwater flow which capture the intricate flow pathways between deep aquifers and the near-surface. The coupled thermal-hydraulic basin structure is inferred from hydraulic head measurements, recharge estimates from geochemical proxies, and borehole temperature data using a Bayesian framework. We use it to model the deep groundwater flow beneath the Sydney–Gunnedah–Bowen Basin, part of Australia’s largest aquifer system. Coastal aquifers have flow rates of up to 0.3 m/day, and a corresponding groundwater residence time of just 2,000 years. In contrast, our model predicts slow flow rates of 0.005 m/day for inland aquifers, resulting in a groundwater residence time of $$\sim $$</jats:tex-math>

 400,000 years. Perturbing the model to account for a drop in borehole water levels since 2000, we find that lengthened inland flow pathways depart significantly from pre-2000 streamlines as groundwater is drawn further from recharge zones in a drying climate. Our results illustrate that progressively increasing water extraction from inland aquifers may permanently alter long-range flow pathways. Our open-source modelling approach can be extended to any basin and may help inform policies on the sustainable management of groundwater. **Model Authors** - Ben Mather - R. Dietmar Müller - Craig O’Neill - Adam Beall - R. Willem Vervoort - Louis Moresi **Scientific Keywords** - Groundwater - inverse model - GAB **Funder** - Australian Research Council (https://ror.org/05mmh0f86) ## Section 2: your model code, output data **Include model code?** True **Include model output data?** True **Model output URI/DOI** https://zenodo.org/doi/10.5281/zenodo.5831990 ## Section 3: software framework and compute details **Software Repository** https://github.com/underworldcode/underworld2 **Software & algorithm keywords** - Python - C - finite element - **Computer URI/DOI** https://ror.org/04yx6dh41 ## Section 4: web material (for mate.science) **Landing page image** Filename: [fig1.png](https://github.com/hvidy/PIPE-4002-EarthByte-ModelAtlas/assets/10967872/34ce5499-0c00-4af3-a8cd-a8235d2d7097) Caption: Here is a caption **Animation** Filename: [figure_2.png](https://github.com/hvidy/PIPE-4002-EarthByte-ModelAtlas/assets/10967872/4977cd28-7d7f-4dd2-88c1-817e57ca740f) Caption: **Graphic abstract** Filename: [fig1.png](https://github.com/hvidy/PIPE-4002-EarthByte-ModelAtlas/assets/10967872/91c3905a-855d-4714-8d1a-270f43ccd5c3) Caption: ** Dumping dictionary during testing ** {'creator': {'@type': 'Person', '@id': 'https://orcid.org/0000-0003-3566-1557', 'givenName': 'Ben', 'familyName': 'Mather', 'affiliation': [{'@type': 'Organization', 'name': 'University of Sydney'}]}, 'slug': 'mather_2022_groundwater', 'for_codes': [{'@id': '#FoR_3706', '@type': 'DefinedTerm', 'name': 'Geophysics'}], 'license': {'name': 'GNU General Public License v3.0', 'url': 'https://www.gnu.org/licenses/gpl-3.0-standalone.html'}, 'model_category': ['model published in study'], 'publication': {'@type': 'ScholarlyArticle', '@id': 'http://dx.doi.org/10.1038/s41598-022-08384-w', 'name': 'Constraining the response of continental-scale groundwater flow to climate change', 'isPartOf': ({'@type': 'PublicationIssue', 'issueNumber': '1', 'datePublished': '2022-3-16', 'isPartOf': {'@type': ['PublicationVolume', 'Periodical'], 'name': ['Scientific Reports'], 'issn': ['2045-2322'], 'volumeNumber': '12', 'publisher': 'Springer Science and Business Media LLC'}},), 'author': [{'@type': 'Person', 'givenName': 'Ben', 'familyName': 'Mather'}, {'@type': 'Person', 'givenName': 'R. Dietmar', 'familyName': 'Müller'}, {'@type': 'Person', 'givenName': 'Craig', 'familyName': 'O’Neill'}, {'@type': 'Person', 'givenName': 'Adam', 'familyName': 'Beall'}, {'@type': 'Person', 'givenName': 'R. Willem', 'familyName': 'Vervoort'}, {'@type': 'Person', 'givenName': 'Louis', 'familyName': 'Moresi'}], 'abstract': 'Numerical models of groundwater flow play a critical role for water management scenarios under climate extremes. Large-scale models play a key role in determining long range flow pathways from continental interiors to the oceans, yet struggle to simulate the local flow patterns offered by small-scale models. We have developed a highly scalable numerical framework to model continental groundwater flow which capture the intricate flow pathways between deep aquifers and the near-surface. The coupled thermal-hydraulic basin structure is inferred from hydraulic head measurements, recharge estimates from geochemical proxies, and borehole temperature data using a Bayesian framework. We use it to model the deep groundwater flow beneath the Sydney–Gunnedah–Bowen Basin, part of Australia’s largest aquifer system. Coastal aquifers have flow rates of up to 0.3\xa0m/day, and a corresponding groundwater residence time of just 2,000\xa0years. In contrast, our model predicts slow flow rates of 0.005\xa0m/day for inland aquifers, resulting in a groundwater residence time of $$\\sim $$\n \n \xa0400,000 years. Perturbing the model to account for a drop in borehole water levels since 2000, we find that lengthened inland flow pathways depart significantly from pre-2000 streamlines as groundwater is drawn further from recharge zones in a drying climate. Our results illustrate that progressively increasing water extraction from inland aquifers may permanently alter long-range flow pathways. Our open-source modelling approach can be extended to any basin and may help inform policies on the sustainable management of groundwater.', 'identifier': ['8384']}, 'title': 'Constraining the response of continental-scale groundwater flow to climate change', 'description': 'Numerical models of groundwater flow play a critical role for water management scenarios under climate extremes. Large-scale models play a key role in determining long range flow pathways from continental interiors to the oceans, yet struggle to simulate the local flow patterns offered by small-scale models. We have developed a highly scalable numerical framework to model continental groundwater flow which capture the intricate flow pathways between deep aquifers and the near-surface. The coupled thermal-hydraulic basin structure is inferred from hydraulic head measurements, recharge estimates from geochemical proxies, and borehole temperature data using a Bayesian framework. We use it to model the deep groundwater flow beneath the Sydney–Gunnedah–Bowen Basin, part of Australia’s largest aquifer system. Coastal aquifers have flow rates of up to 0.3\xa0m/day, and a corresponding groundwater residence time of just 2,000\xa0years. In contrast, our model predicts slow flow rates of 0.005\xa0m/day for inland aquifers, resulting in a groundwater residence time of $$\\sim $$\n \n \xa0400,000 years. Perturbing the model to account for a drop in borehole water levels since 2000, we find that lengthened inland flow pathways depart significantly from pre-2000 streamlines as groundwater is drawn further from recharge zones in a drying climate. Our results illustrate that progressively increasing water extraction from inland aquifers may permanently alter long-range flow pathways. Our open-source modelling approach can be extended to any basin and may help inform policies on the sustainable management of groundwater.', 'authors': [{'@type': 'Person', 'givenName': 'Ben', 'familyName': 'Mather'}, {'@type': 'Person', 'givenName': 'R. Dietmar', 'familyName': 'Müller'}, {'@type': 'Person', 'givenName': 'Craig', 'familyName': 'O’Neill'}, {'@type': 'Person', 'givenName': 'Adam', 'familyName': 'Beall'}, {'@type': 'Person', 'givenName': 'R. 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hvidy commented 8 months ago

M@TE crate

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Large-scale models play a key role in determining long range flow pathways from continental interiors to the oceans, yet struggle to simulate the local flow patterns offered by small-scale models. We have developed a highly scalable numerical framework to model continental groundwater flow which capture the intricate flow pathways between deep aquifers and the near-surface. The coupled thermal-hydraulic basin structure is inferred from hydraulic head measurements, recharge estimates from geochemical proxies, and borehole temperature data using a Bayesian framework. We use it to model the deep groundwater flow beneath the Sydney\u2013Gunnedah\u2013Bowen Basin, part of Australia\u2019s largest aquifer system. Coastal aquifers have flow rates of up to 0.3\u00a0m/day, and a corresponding groundwater residence time of just 2,000\u00a0years. In contrast, our model predicts slow flow rates of 0.005\u00a0m/day for inland aquifers, resulting in a groundwater residence time of $$\sim $$</jats:tex-math><mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\n \u223c</mml:mo>\n </mml:math></jats:alternatives></jats:inline-formula>\u00a0400,000 years. Perturbing the model to account for a drop in borehole water levels since 2000, we find that lengthened inland flow pathways depart significantly from pre-2000 streamlines as groundwater is drawn further from recharge zones in a drying climate. Our results illustrate that progressively increasing water extraction from inland aquifers may permanently alter long-range flow pathways. 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hvidy commented 7 months ago

M@TE crate

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