CSDMS - User contributions [en]

2023 CSDMS meeting-061

2023-05-12T18:07:32Z

Rdmadoff:

{{CSDMS meeting personal information template-2023
|CSDMS meeting first name=Risa
|CSDMS meeting last name=Madoff
|CSDMS Pronouns=She/her/hers
|CSDMS meeting institute=EPSP
|CSDMS meeting city=Grand Forks
|CSDMS meeting country=United States
|CSDMS meeting state=North Dakota
|CSDMS meeting email address=risamadoff@yahoo.com
|CSDMS meeting phone=575-649-5311
}}
{{CSDMS meeting select clinics1 2023
|CSDMS_meeting_select_clinics1_2023=4) LSDtopotools
}}
{{CSDMS meeting select clinics2 2023
|CSDMS_meeting_select_clinics2_2023=3) Finite Volume Methods for Surface Dynamics Modeling
}}
{{CSDMS meeting select clinics3 2023
|CSDMS_meeting_select_clinics3_2023=3) Building solvers for sustainable performance
}}
{{CSDMS meeting abstract yes no 2023
|CSDMS meeting abstract submit 2023=Yes
}}
{{CSDMS meeting abstract poster Epub 2023
|CSDMS meeting poster Epub submit 2023=Poster
}}
{{CSDMS meeting abstract title temp2023
|CSDMS meeting abstract title=Computational and data management considerations integrate theory and social value of Earth’s critical surface in new science frontiers
|Working_group_member_WG_FRG=Marine Working Group, Terrestrial Working Group, Coastal Working Group, Education and Knowledge Transfer (EKT) Working Group, Cyberinformatics and Numerics Working Group, Hydrology Focus Research Group, Carbonates and Biogenics Focus Research Group, Chesapeake Focus Research Group, Critical Zone Focus Research Group, Human Dimensions Focus Research Group, Geodynamics Focus Research Group, Ecosystem Dynamics Focus Research Group
}}
{{CSDMS meeting abstract template 2023
|CSDMS meeting abstract=Relating scientific results generated from modeling, remote sensing, or instrumental measurements of Earth’s surface to topics of social relevance often poses challenges for theoretical scientists. Theoretical science is treated as divorced from social matters, as a matter of definition, unless specific problems are solved, then it shifts into an applied realm and is viewed as spatially constrained. A paradox results: if scientific results are “merely” theoretical, yet intended to be universal, then it is undetermined whether results would follow everywhere, but if they are collected from actual measures and observations it is undetermined whether the same conditions are everywhere and apply to all spatial and temporal scales. The problem is particularly acute for Earth’s surface which is both physical and has high value for all human beings and infrastructures and all life. It is also the object of theoretical models. So, it is critical for human life and its connections to all life that models aim to model the spatial and temporal reality of Earth’s surface including regional variabilities with their constraints. Social relevance is a value that can be viewed together with physical characterizations as part of understanding landscapes.

Outlined are considerations to help integrate values that express social relevance into the scope of how theoretical science is conducted and approached to address the scale of connectedness of Earth’s surface while expanding the human reach of Earth surface modeling. Inspiration has been taken from recent NSF sponsored initiatives, such as efforts to expand and unify through diversity and inclusion the critical zone (CZRN) and convergence research in Navigating the New Arctic, as well as the open science philosophy of CSDMS, and a recent Greenland Data workshop seeking to unify data management of Greenland. I contribute my synthesis to engage with others about how the application of computational approaches and landscape data management can be used to provide basic platforms for treating and comparing earth surface data at multiple temporal and spatial scales while having “convergence” of social spheres as an underlying consideration. Therefore, the infinite potential at any point on Earth’s surface is representable, relatable, and connectable numerically, and it recognizes and includes the realm of human beings as investigators and inhabitants of any landscape.

Computational thinking may be a source for thinking about expanding who are considered the inhabitants of landscapes and who studies the landscapes, i.e. including diverse identities in research while also unifying them through shared and recognized goals. Expanding the realm of theory in Earth surface processes to include model data about people, life, geographies, climates, processes and their change through time is a new science frontier. The idea that information has many dynamic layers and dimensions and that there are many ways to connect and relate them through time with computational approaches as a starting point may serve as a guide for integrating social value into theoretical research.
}}
{{CSDMS meeting abstract figures
|CSDMS meeting abstract figure=Madoff Poster.pdf
}}
{{blank line template}}

File:Madoff Poster.pdf

2023-05-12T18:07:18Z

Rdmadoff:

2023 CSDMS meeting-061

2023-03-31T20:21:04Z

Rdmadoff:

2023 CSDMS meeting-061

2023-03-31T20:19:12Z

Rdmadoff:

{{CSDMS meeting personal information template-2023
|CSDMS meeting first name=Risa
|CSDMS meeting last name=Madoff
|CSDMS Pronouns=She/her/hers
|CSDMS meeting institute=EPSP
|CSDMS meeting city=Grand Forks
|CSDMS meeting country=United States
|CSDMS meeting state=North Dakota
|CSDMS meeting email address=risamadoff@yahoo.com
|CSDMS meeting phone=575-649-5311
}}
{{CSDMS meeting select clinics1 2023
|CSDMS_meeting_select_clinics1_2023=4) LSDtopotools
}}
{{CSDMS meeting select clinics2 2023
|CSDMS_meeting_select_clinics2_2023=3) Finite Volume Methods for Surface Dynamics Modeling
}}
{{CSDMS meeting select clinics3 2023
|CSDMS_meeting_select_clinics3_2023=3) Building solvers for sustainable performance
}}
{{CSDMS meeting abstract yes no 2023
|CSDMS meeting abstract submit 2023=Yes
}}
{{CSDMS meeting abstract poster Epub 2023
|CSDMS meeting poster Epub submit 2023=Poster
}}
{{CSDMS meeting abstract title temp2023
|CSDMS meeting abstract title=Computational and data management considerations integrate theory and social value of Earth’s critical surface in new science frontiers
|Working_group_member_WG_FRG=Marine Working Group, Terrestrial Working Group, Coastal Working Group, Education and Knowledge Transfer (EKT) Working Group, Cyberinformatics and Numerics Working Group, Hydrology Focus Research Group, Carbonates and Biogenics Focus Research Group, Chesapeake Focus Research Group, Critical Zone Focus Research Group, Human Dimensions Focus Research Group, Geodynamics Focus Research Group, Ecosystem Dynamics Focus Research Group
}}
{{CSDMS meeting abstract template 2023
|CSDMS meeting abstract=Relating scientific results generated from modeling, remote sensing, or instrumental measurements of Earth’s surface to topics of social relevance often poses challenges for theoretical scientists. Theoretical science is treated as divorced from social matters, as a matter of definition, unless specific problems are solved, then it shifts into an applied realm and is viewed as spatially constrained. A paradox results: if scientific results are “merely” theoretical, yet intended to be universal, then it is undetermined whether results would follow everywhere, but if they are collected from actual measures and observations it is undetermined whether the same conditions are everywhere and apply to all spatial and temporal scales. The problem is particularly acute for Earth’s surface which is both physical and has high value for all human beings and infrastructures and all life. It is also the object of theoretical models. So, it is critical for human life and its connections to all life that models aim to model the spatial and temporal reality of Earth’s surface including regional variabilities with their constraints. Social relevance is a value that can be viewed together with physical characterizations as part of understanding landscapes.

Outlined are considerations to help integrate values that express social relevance into the scope of how theoretical science is conducted and approached to address the scale of connectedness of Earth’s surface while expanding the human reach of Earth surface modeling. Inspiration has been taken from recent NSF sponsored initiatives, such as efforts to expand and unify through diversity and inclusion the critical zone (CZRN) and convergence research in Navigating the New Arctic, as well as the open science philosophy of CSDMS, and a recent Greenland Data workshop seeking to unify data management of Greenland. I contribute my synthesis to engage with others about how the application of computational approaches and landscape data management can be used to provide basic platforms for treating and comparing earth surface data at multiple temporal and spatial scales while having “convergence” of social spheres as an underlying consideration. Therefore, the infinite potential at any point on Earth’s surface is representable, relatable, and connectable numerically, and it recognizes and includes the realm of human beings as investigators and inhabitants of any landscape.

Computational thinking may be a source for thinking about expanding the inhabitants of landscapes and who studies the landscapes, i.e. including diverse identities in research while also unifying them through shared and recognized goals. Expanding the realm of theory in Earth surface processes to include model data about people, life, geographies, climates, processes and their change through time is a new science frontier. The idea that information has many dynamic layers and dimensions and that there are many ways to connect and relate them through time with computational approaches as a starting point may serve as a guide for integrating social value into theoretical research.
}}
{{blank line template}}

2023 CSDMS meeting-061

2023-03-31T20:08:13Z

Rdmadoff:

{{CSDMS meeting personal information template-2023
|CSDMS meeting first name=Risa
|CSDMS meeting last name=Madoff
|CSDMS Pronouns=She/her/hers
|CSDMS meeting institute=EPSP
|CSDMS meeting city=Grand Forks
|CSDMS meeting country=United States
|CSDMS meeting state=North Dakota
|CSDMS meeting email address=risamadoff@yahoo.com
|CSDMS meeting phone=575-649-5311
}}
{{CSDMS meeting select clinics1 2023
|CSDMS_meeting_select_clinics1_2023=4) LSDtopotools
}}
{{CSDMS meeting select clinics2 2023
|CSDMS_meeting_select_clinics2_2023=3) Finite Volume Methods for Surface Dynamics Modeling
}}
{{CSDMS meeting select clinics3 2023
|CSDMS_meeting_select_clinics3_2023=3) Building solvers for sustainable performance
}}
{{CSDMS meeting abstract yes no 2023
|CSDMS meeting abstract submit 2023=Yes
}}
{{CSDMS meeting abstract poster Epub 2023
|CSDMS meeting poster Epub submit 2023=Poster
}}
{{CSDMS meeting abstract title temp2023
|CSDMS meeting abstract title=Computational and data management considerations integrate theory and social value of Earth’s critical surface in new science frontiers
|Working_group_member_WG_FRG=Marine Working Group, Terrestrial Working Group, Coastal Working Group, Education and Knowledge Transfer (EKT) Working Group, Cyberinformatics and Numerics Working Group, Hydrology Focus Research Group, Carbonates and Biogenics Focus Research Group, Chesapeake Focus Research Group, Critical Zone Focus Research Group, Human Dimensions Focus Research Group, Geodynamics Focus Research Group, Ecosystem Dynamics Focus Research Group
}}
{{CSDMS meeting abstract template 2023
|CSDMS meeting abstract=Relating scientific results generated from modeling, remote sensing, or instrumental measurements of Earth’s surface to topics of social relevance often poses challenges for theoretical scientists. Theoretical science is treated as divorced from social matters, as a matter of definition, unless specific problems are solved, then it shifts into an applied realm and is viewed as spatially constrained. A paradox results: if scientific results are “merely” theoretical, yet intended to be universal, then it is undetermined whether results would follow everywhere, but if they are collected from actual measures and observations it is undetermined whether the same conditions are everywhere and apply to all spatial and temporal scales. The problem is particularly acute for Earth’s surface which is both physical and has high value for all human beings and infrastructures and all life. It is also the object of theoretical models. So, it is critical for human life and its connections to all life that models aim to model the spatial and temporal reality of Earth’s surface including regional variabilities with their constraints. Social relevance is a value that can be viewed together with physical characterizations as part of understanding landscapes.

Outlined are considerations to help integrate values that express social relevance into the scope of how theoretical science is conducted and approached to address the scale of connectedness of Earth’s surface while expanding the human reach of Earth surface modeling. Inspiration has been taken from recent NSF sponsored initiatives, such as efforts to expand and unify through diversity and inclusion the critical zone (CZRN) and convergence research in Navigating the New Arctic, as well as the open science philosophy of CSDMS, and a recent Greenland Data workshop seeking to unify data management of Greenland. I contribute my synthesis to engage with others about how the application of computational approaches and landscape data management can be used to provide basic platforms for treating and comparing earth surface data at multiple temporal and spatial scales while having “convergence” of social spheres as an underlying consideration. Therefore, the infinite potential at any point on Earth’s surface is representable, relatable, and connectable numerically, and it recognizes and includes the realm of human beings as investigators and inhabitants of any landscape.

Computational thinking may be a source for thinking about expanding the inhabitants of landscapes and who studies them, i.e. including diverse identities in research while also unifying them through shared and recognized goals. Expanding the realm of theory in Earth surface processes to include model data about people, life, geographies, climates, processes and their change through time is a new science frontier. The idea that information has many dynamic layers and dimensions and that there are many ways to connect and relate them through time with computational approaches as a starting point may serve as a guide for integrating social value into theoretical research.
}}
{{blank line template}}

2023 CSDMS meeting-061

2023-03-30T21:33:07Z

Rdmadoff:

{{CSDMS meeting personal information template-2023
|CSDMS meeting first name=Risa
|CSDMS meeting last name=Madoff
|CSDMS Pronouns=She/her/hers
|CSDMS meeting institute=EPSP
|CSDMS meeting city=Grand Forks
|CSDMS meeting country=United States
|CSDMS meeting state=North Dakota
|CSDMS meeting email address=risamadoff@yahoo.com
|CSDMS meeting phone=575-649-5311
}}
{{CSDMS meeting select clinics1 2023
|CSDMS_meeting_select_clinics1_2023=4) LSDtopotools
}}
{{CSDMS meeting select clinics2 2023
|CSDMS_meeting_select_clinics2_2023=3) Finite Volume Methods for Surface Dynamics Modeling
}}
{{CSDMS meeting select clinics3 2023
|CSDMS_meeting_select_clinics3_2023=3) Building solvers for sustainable performance
}}
{{CSDMS meeting abstract yes no 2023
|CSDMS meeting abstract submit 2023=Yes
}}
{{CSDMS meeting abstract poster Epub 2023
|CSDMS meeting poster Epub submit 2023=Poster
}}
{{CSDMS meeting abstract title temp2023
|CSDMS meeting abstract title=Computational and data management considerations integrate theory and social value of Earth’s critical surface in new science frontiers
|Working_group_member_WG_FRG=Marine Working Group, Terrestrial Working Group, Coastal Working Group, Education and Knowledge Transfer (EKT) Working Group, Cyberinformatics and Numerics Working Group, Hydrology Focus Research Group, Carbonates and Biogenics Focus Research Group, Chesapeake Focus Research Group, Critical Zone Focus Research Group, Human Dimensions Focus Research Group, Geodynamics Focus Research Group, Ecosystem Dynamics Focus Research Group
}}
{{CSDMS meeting abstract template 2023
|CSDMS meeting abstract=Relating scientific results generated from modeling, remote sensing, or instrumental measurements of Earth’s surface to topics of social relevance often poses challenges for theoretical scientists. Theoretical science is treated as divorced from social matters, as a matter of definition, unless specific problems are solved, then it shifts into an applied realm and is viewed as spatially constrained. A paradox results: if scientific results are “merely” theoretical, yet intended to be universal, then it is undetermined whether results would follow everywhere, but if they are collected from actual measures and observations it is undetermined whether the same conditions are everywhere and apply to all spatial and temporal scales. The problem is particularly acute for Earth’s surface which is both physical and has high value for all human beings and infrastructures and all life. It is also the object of theoretical models. So, it is critical for human life and its connections to all life that models aim to model the spatial and temporal reality of Earth’s surface including regional variabilities with their constraints. Social relevance is a value that can be viewed together with physical characterizations as part of understanding landscapes.

Outlined are considerations to help integrate values that express social relevance into the scope of how science is conducted and approached to address the scale of connectedness of Earth’s surface while expanding the human reach of Earth surface modeling. Inspiration has been taken from recent NSF sponsored initiatives, such as efforts to expand and unify through diversity and inclusion the critical zone (CZRN) and convergence research in Navigating the New Arctic, as well as the open science philosophy of CSDMS, and a recent Greenland Data workshop seeking to unify data management of Greenland. I contribute my synthesis to engage with others about how the application of computational approaches and landscape data management can be used to provide basic platforms for treating and comparing earth surface data at multiple temporal and spatial scales while having “convergence” of social spheres as an underlying consideration. Therefore, the infinite potential at any point on Earth’s surface is representable, relatable, and connectable numerically, and it recognizes and includes the realm of human beings as investigators and inhabitants of any landscape.

Computational thinking may be a source for thinking about expanding the inhabitants of landscapes and who studies them, i.e. including diverse identities in research while also unifying them through shared and recognized goals. Expanding the realm of theory in Earth surface processes to include model data about people, life, geographies, climates, processes and their change through time is a new science frontier. The idea that information has many dynamic layers and dimensions and that there are many ways to connect and relate them through time with computational approaches as a starting point may serve as a guide for integrating social value into theoretical research.
}}
{{blank line template}}

2023 CSDMS meeting-061

2023-03-30T21:32:21Z

Rdmadoff:

{{CSDMS meeting personal information template-2023
|CSDMS meeting first name=Risa
|CSDMS meeting last name=Madoff
|CSDMS Pronouns=She/her/hers
|CSDMS meeting institute=EPSP
|CSDMS meeting city=Grand Forks
|CSDMS meeting country=United States
|CSDMS meeting state=North Dakota
|CSDMS meeting email address=risamadoff@yahoo.com
|CSDMS meeting phone=575-649-5311
}}
{{CSDMS meeting select clinics1 2023
|CSDMS_meeting_select_clinics1_2023=4) LSDtopotools
}}
{{CSDMS meeting select clinics2 2023
|CSDMS_meeting_select_clinics2_2023=3) Finite Volume Methods for Surface Dynamics Modeling
}}
{{CSDMS meeting select clinics3 2023
|CSDMS_meeting_select_clinics3_2023=3) Building solvers for sustainable performance
}}
{{CSDMS meeting abstract yes no 2023
|CSDMS meeting abstract submit 2023=Yes
}}
{{CSDMS meeting abstract poster Epub 2023
|CSDMS meeting poster Epub submit 2023=Poster
}}
{{CSDMS meeting abstract title temp2023
|CSDMS meeting abstract title=Computational and data management considerations integrate theory and social value of Earth’s critical surface in new science frontiers
|Working_group_member_WG_FRG=Marine Working Group, Terrestrial Working Group, Coastal Working Group, Education and Knowledge Transfer (EKT) Working Group, Cyberinformatics and Numerics Working Group, Hydrology Focus Research Group, Carbonates and Biogenics Focus Research Group, Chesapeake Focus Research Group, Critical Zone Focus Research Group, Human Dimensions Focus Research Group, Geodynamics Focus Research Group, Ecosystem Dynamics Focus Research Group
}}
{{CSDMS meeting abstract template 2023
|CSDMS meeting abstract=Relating scientific results generated from modeling, remote sensing, or instrumental measurements of Earth’s surface to topics of social relevance often poses challenges for theoretical scientists. Theoretical science is treated as divorced from social matters, as a matter of definition, unless specific problems are solved, then it shifts into an applied realm and is viewed as spatially constrained. A paradox results: if scientific results are “merely” theoretical, yet intended to be universal, then it is undetermined whether results would follow everywhere, but if they are collected from actual measures and observations it is undetermined whether the same conditions are everywhere and apply to all spatial and temporal scales. The problem is particularly acute for Earth’s surface which is both physical and has high value for all human beings and infrastructures and all life. It is also the object of theoretical models. So, it is critical for human life and its connections to all life that models aim to model the spatial and temporal reality of Earth’s surface including regional variabilities with their constraints. Social relevance is a value that can be viewed together with physical characterizations as part of understanding landscapes.

Outlined are considerations to help integrate values that express social relevance into the scope of how science is conducted and approached to address the scale of connectedness of Earth’s surface while expanding the human reach of Earth surface modeling. Inspiration has been taken from recent NSF sponsored initiatives, such as efforts to expand and unify through diversity and inclusion the critical zone (CZRN) and convergence research in Navigating the New Arctic, as well as the open science philosophy of CSDMS, and a recent Greenland Data workshop seeking to unify data management of Greenland. I contribute my synthesis to engage with others about how the application of computational approaches and landscape data management can be used to provide basic platforms for treating and comparing earth surface data at multiple temporal and spatial scales while having “convergence” of social spheres as an underlying consideration. Therefore, the infinite potential at any point on Earth’s surface is representable, relatable, and connectable numerically, and it recognizes and includes the realm of human beings as investigators and inhabitants of any landscape.

Computational thinking may be a source for thinking about expanding the inhabitants of landscapes and who studies them, i.e. including diverse identities in research while also unifying them through shared and recognized goals. Expanding the realm of theory in Earth surface processes to include model data about people, life, geographies, climates, processes and their change through time is a new science frontier. The idea that information has many dynamic layers and dimensions and that there are many ways to connect and relate them through time with computational approaches as a starting point may serve as a guide for integrating social value into theoretical research.
}}
{{blank line template}}

2023 CSDMS meeting-061

2023-03-22T20:22:24Z

Rdmadoff:

2023 CSDMS meeting-061

2023-03-14T18:53:55Z

Rdmadoff:

2023 CSDMS meeting-061

2023-03-13T20:57:29Z

Rdmadoff:

2023 CSDMS meeting-061

2023-03-13T20:56:54Z

Rdmadoff: Created page with "{{CSDMS meeting personal information template-2023 |CSDMS meeting first name=Risa |CSDMS meeting last name=Madoff |CSDMS Pronouns=She/her/hers |CSDMS meeting institute=EPSP |CSDMS meeting city=Grand Forks |CSDMS meeting country=United States |CSDMS meeting state=ND |CSDMS meeting email address=risamadoff@yahoo.com |CSDMS meeting phone=575-649-5311 }} {{CSDMS meeting select clinics1 2023 |CSDMS_meeting_select_clinics1_2023=4) LSDtopotools }} {{CSDMS meeting select clinics..."

2022 CSDMS meeting-054

2022-05-11T14:43:14Z

Rdmadoff:

{{CSDMS meeting personal information template-2022
|CSDMS meeting first name=Risa
|CSDMS meeting last name=Madoff
|CSDMS Pronouns=she/her/hers
|CSDMS meeting institute=University of North Dakota
|CSDMS meeting city=Grand Forks
|CSDMS meeting country=United States
|CSDMS meeting state=North Dakota
|CSDMS meeting email address=risa.madoff@und.edu
}}
{{CSDMS meeting select clinics1 2022
|CSDMS_meeting_select_clinics1_2022=4) Teaching with Jupyter NoteBooks
}}
{{CSDMS meeting select clinics2 2022
|CSDMS_meeting_select_clinics2_2022=4) Xarray for Scalable Scientific Data Analysis
}}
{{CSDMS meeting select clinics3 2022
|CSDMS_meeting_select_clinics3_2022=4) Publishing Reproducible Computational Research with the Whole Tale
}}
{{CSDMS meeting abstract yes no 2022
|CSDMS meeting abstract submit=Yes
}}
{{CSDMS meeting abstract title temp2022
|CSDMS meeting abstract title=Regional Erosion Rates Show Strong Climate-Driven Variability in the Arctic Since the LGM
|Working_group_member_WG_FRG=Terrestrial Working Group
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Jaakko
|CSDMS meeting coauthor last name abstract=Putkonen
|CSDMS meeting coauthor institute / Organization=University of North Dakota
|CSDMS meeting coauthor town-city=Grand Forks
|CSDMS meeting coauthor country=United States
|State=North Dakota
|CSDMS meeting coauthor email address=jaakko.putkonen@und.edu
}}
{{CSDMS meeting abstract template 2022
|CSDMS meeting abstract=The last 22 ka, since the Last Glacial Maximum (LGM), is known for significant millennial scale changes in global climate (Barker and Knorr, 2021). Sedimentary deposits in lacustrine and marine basins bear archives of corresponding changes in sediment accumulation. Yet given the scale that the global climate exerts on geomorphological processes on Earth’s surface, generalizations of the relationship between the climate and the erosion remain inconclusive. Whether the possible generalizations could even be applied to all regions has also remained unclear.

Erosion rates are a first-order response to climate of a region. The variability of erosion rates through time are needed for dating of buried surfaces, quantifying soil carbon budgets, and assessing landscape stability. Until now, a truly global analysis of comparing interregional erosion rates has not been available. Recent work in Madoff and Putkonen (2022) addresses this by generating global maps of regional erosion rates since the LGM. These results are supported by corresponding published sediment accumulation rates in sink areas corresponding to given watershed. Results show the spatial extent of higher erosion rates and larger ranges of variability through time in the Arctic and subarctic in contrast to the tropics and mid-latitudes. These results also indicate that the regional variability decreases the further from the past ice sheets a given location is. Finally, a clear take home message from these results is that the regional erosion rates vary both through time and space for the past 22 ka.

Barker, S., Knorr, G., 2021. Millennial scale feedbacks determine the shape and rapidity of glacial termination. Nature Communications. 12.

Madoff, R.D., Putkonen, J., 2022. Global variations in regional degradation rates since the Last Glacial Maximum mapped through time and space. Quaternary Research. 1–13. https://doi.org/10.1017/qua.2022.4
}}
{{CSDMS meeting abstract figures
|CSDMS meeting abstract figure=Risa Poster 4.pdf
}}
{{blank line template}}

File:Risa Poster 4.pdf

2022-05-11T14:43:09Z

Rdmadoff: Risa Madoff CSDMS 2022 Meeting poster

Risa Madoff CSDMS 2022 Meeting poster

2022 CSDMS meeting-054

2022-05-11T14:37:20Z

Rdmadoff:

File:Risa Poster 4 - Copy.pdf

2022-05-11T14:37:09Z

Rdmadoff: Risa Madoff CSDMS 2022 Meeting online poster

Risa Madoff CSDMS 2022 Meeting online poster

2022 CSDMS meeting-054

2022-04-14T20:06:59Z

Rdmadoff:

2022 CSDMS meeting-054

2022-04-13T18:10:24Z

Rdmadoff:

{{CSDMS meeting personal information template-2022
|CSDMS meeting first name=Risa
|CSDMS meeting last name=Madoff
|CSDMS Pronouns=she/her/hers
|CSDMS meeting institute=University of North Dakota
|CSDMS meeting city=Grand Forks
|CSDMS meeting country=United States
|CSDMS meeting state=North Dakota
|CSDMS meeting email address=risa.madoff@und.edu
}}
{{CSDMS meeting select clinics1 2022
|CSDMS_meeting_select_clinics1_2022=4) Teaching with Jupyter NoteBooks
}}
{{CSDMS meeting select clinics2 2022
|CSDMS_meeting_select_clinics2_2022=4) Xarray for Scalable Scientific Data Analysis
}}
{{CSDMS meeting select clinics3 2022
|CSDMS_meeting_select_clinics3_2022=4) Publishing Reproducible Computational Research with the Whole Tale
}}
{{CSDMS meeting abstract yes no 2022
|CSDMS meeting abstract submit=Yes
}}
{{CSDMS meeting abstract title temp2022
|CSDMS meeting abstract title=Regional Erosion Rates Show Strong Climate-Driven Variability in the Arctic Since the LGM
|Working_group_member_WG_FRG=Terrestrial Working Group
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Jaakko
|CSDMS meeting coauthor last name abstract=Putkonen
|CSDMS meeting coauthor institute / Organization=University of North Dakota
|CSDMS meeting coauthor town-city=Grand Forks
|CSDMS meeting coauthor country=United States
|State=North Dakota
|CSDMS meeting coauthor email address=jaakko.putkonen@und.edu
}}
{{CSDMS meeting abstract template 2022
|CSDMS meeting abstract=The last 22 ka, since the Last Glacial Maximum (LGM), is known for significant millennial scale changes in global climate (Barker and Knorr, 2021). Sedimentary deposits in lacustrine and marine basins bear archives of corresponding changes in sediment accumulation. Yet given the scale that the global climate exerts on geomorphological processes on Earth’s surface, generalizations of the relationship between the climate and the erosion remain inconclusive. Whether the possible generalizations could even be applied to all regions has also remained unclear.

Erosion rates are a first-order response to climate of a region. The variability of erosion rates through time are needed for dating of buried surfaces, quantifying soil carbon budgets, and assessing landscape stability. Until now, a truly global analysis of comparing interregional erosion rates has not been available. Recent work in Madoff and Putkonen (2022) addresses this by generating global maps of regional erosion rates since the LGM. These results are supported by corresponding published sediment accumulation rates in sink areas corresponding to given watershed. Results show the spatial extent of higher erosion rates and larger ranges of variability through time in the Arctic and subarctic in contrast to the tropics and mid-latitudes. These results also indicate that the regional variability decreases the further from the past ice sheets a given location is. Finally, a clear take home message from these results is that the regional erosion rates vary both through time and space for the past 22 ka.

Barker, S., Knorr, G., 2021. Millennial scale feedbacks determine the shape and rapidity of glacial termination. Nature. Communications. 12.

Madoff, R.D., Putkonen, J., 2022. Global variations in regional degradation rates since the Last Glacial Maximum mapped through time and space. Quaternary Research. 1–13. https://doi.org/10.1017/qua.2022.4
}}
{{blank line template}}

2022 CSDMS meeting-054

2022-04-08T15:41:18Z

Rdmadoff:

{{CSDMS meeting personal information template-2022
|CSDMS meeting first name=Risa
|CSDMS meeting last name=Madoff
|CSDMS Pronouns=she/her/hers
|CSDMS meeting institute=University of North Dakota
|CSDMS meeting city=Grand Forks
|CSDMS meeting country=United States
|CSDMS meeting state=North Dakota
|CSDMS meeting email address=risa.madoff@und.edu
}}
{{CSDMS meeting select clinics1 2022
|CSDMS_meeting_select_clinics1_2022=4) Teaching with Jupyter NoteBooks
}}
{{CSDMS meeting select clinics2 2022
|CSDMS_meeting_select_clinics2_2022=4) Xarray for Scalable Scientific Data Analysis
}}
{{CSDMS meeting select clinics3 2022
|CSDMS_meeting_select_clinics3_2022=4) Publishing Reproducible Computational Research with the Whole Tale
}}
{{CSDMS meeting abstract yes no 2022
|CSDMS meeting abstract submit=Yes
}}
{{CSDMS meeting abstract title temp2022
|CSDMS meeting abstract title=Regional Erosion Rates Show Strong Climate-Driven Variability in the Arctic Since the LGM
|Working_group_member_WG_FRG=Terrestrial Working Group
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Jaakko
|CSDMS meeting coauthor last name abstract=Putkonen
|CSDMS meeting coauthor institute / Organization=University of North Dakota
|CSDMS meeting coauthor town-city=Grand Forks
|CSDMS meeting coauthor country=United States
|State=North Dakota
|CSDMS meeting coauthor email address=jaakko.putkonen@und.edu
}}
{{CSDMS meeting abstract template 2022
|CSDMS meeting abstract=The last 22 ka, since the Last Glacial Maximum (LGM), is known for significant millennial scale changes in global climate (Barker and Knorr, 2021). Sedimentary deposits in lacustrine and marine basins bear archives of corresponding changes in sediment accumulation. Yet given the scale that the global climate exerts on geomorphological processes on Earth’s surface, generalizations of the relationship between the climate and the erosion remains inconclusive. Whether the possible generalizations could even be applied to all regions has also remained unclear.

Erosion rates are a first-order response to climate of a region. The variability of erosion rates through time are needed for dating of buried surfaces, quantifying soil carbon budgets, and assessing landscape stability. Until now, a truly global analysis of comparing interregional erosion rates has not been available. Recent work in Madoff and Putkonen (2022) addresses this by generating global maps of regional erosion rates since the LGM. These results are supported by corresponding published sediment accumulation rates in sink areas corresponding to given watershed. Results show the spatial extent of higher erosion rates and larger ranges of variability through time in the Arctic and subarctic in contrast to the tropics and mid-latitudes. These results also indicate that the regional variability decreases the further from the past ice sheets a given location is. Finally, a clear take home message from these results is that the regional erosion rates vary both through time and space for the past 22 ka.

Barker, S., Knorr, G., 2021. Millennial scale feedbacks determine the shape and rapidity of glacial termination. Nature. Communications. 12.

Madoff, R.D., Putkonen, J., 2022. Global variations in regional degradation rates since the Last Glacial Maximum mapped through time and space. Quaternary Research. 1–13. https://doi.org/10.1017/qua.2022.4
}}
{{blank line template}}

2022 CSDMS meeting-054

2022-04-08T15:40:37Z

Rdmadoff:

{{CSDMS meeting personal information template-2022
|CSDMS meeting first name=Risa
|CSDMS meeting last name=Madoff
|CSDMS Pronouns=she/her/hers
|CSDMS meeting institute=University of North Dakota
|CSDMS meeting city=Grand Forks
|CSDMS meeting country=United States
|CSDMS meeting state=North Dakota
|CSDMS meeting email address=risa.madoff@und.edu
}}
{{CSDMS meeting select clinics1 2022
|CSDMS_meeting_select_clinics1_2022=4) Teaching with Jupyter NoteBooks
}}
{{CSDMS meeting select clinics2 2022
|CSDMS_meeting_select_clinics2_2022=4) Xarray for Scalable Scientific Data Analysis
}}
{{CSDMS meeting select clinics3 2022
|CSDMS_meeting_select_clinics3_2022=4) Publishing Reproducible Computational Research with the Whole Tale
}}
{{CSDMS meeting abstract yes no 2022
|CSDMS meeting abstract submit=Yes
}}
{{CSDMS meeting abstract title temp2022
|CSDMS meeting abstract title=Regional Erosion Rates Show Strong Climate-Driven Variability in the Arctic Since the LGM
|Working_group_member_WG_FRG=Terrestrial Working Group
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Jaakko
|CSDMS meeting coauthor last name abstract=Putkonen
|CSDMS meeting coauthor institute / Organization=University of North Dakota
|CSDMS meeting coauthor town-city=Grand Forks
|CSDMS meeting coauthor country=United States
|State=North Dakota
|CSDMS meeting coauthor email address=jaakko.putkonen@und.edu
}}
{{CSDMS meeting abstract template 2022
|CSDMS meeting abstract=The last 22 ka, since the Last Glacial Maximum (LGM), is known for significant millennial scale changes in global climate (Barker and Knorr, 2021). Sedimentary deposits in lacustrine and marine basins bear archives of corresponding changes in sediment accumulation. Yet given the scale that the global climate exerts on geomorphological processes on Earth’s surface, generalizations of the relationship between the climate and the erosion remains inconclusive. Whether the possible generalizations could even be applied to all regions has also remained unclear.
Erosion rates are a first-order response to climate of a region. The variability of erosion rates through time are needed for dating of buried surfaces, quantifying soil carbon budgets, and assessing landscape stability. Until now, a truly global analysis of comparing interregional erosion rates has not been available. Recent work in Madoff and Putkonen (2022) addresses this by generating global maps of regional erosion rates since the LGM. These results are supported by corresponding published sediment accumulation rates in sink areas corresponding to given watershed. Results show the spatial extent of higher erosion rates and larger ranges of variability through time in the Arctic and subarctic in contrast to the tropics and mid-latitudes. These results also indicate that the regional variability decreases the further from the past ice sheets a given location is. Finally, a clear take home message from these results is that the regional erosion rates vary both through time and space for the past 22 ka.

Barker, S., Knorr, G., 2021. Millennial scale feedbacks determine the shape and rapidity of glacial termination. Nature. Communications. 12.

Madoff, R.D., Putkonen, J., 2022. Global variations in regional degradation rates since the Last Glacial Maximum mapped through time and space. Quaternary Research. 1–13. https://doi.org/10.1017/qua.2022.4
}}
{{blank line template}}

2022 CSDMS meeting-054

2022-04-07T14:30:49Z

Rdmadoff:

2022 CSDMS meeting-054

2022-04-07T14:30:17Z

Rdmadoff:

2022 CSDMS meeting-054

2022-02-22T16:06:15Z

Rdmadoff:

2022 CSDMS meeting-054

2022-02-22T16:05:46Z

Rdmadoff:

2022 CSDMS meeting-054

2022-02-22T16:05:14Z

Rdmadoff: Created page with "{{CSDMS meeting personal information template-2022 |CSDMS meeting first name=Risa |CSDMS meeting last name=Madoff |CSDMS Pronouns=she/her/hers |CSDMS meeting institute=Univers..."

User:Rdmadoff

2022-01-27T14:27:04Z

Rdmadoff:

{{Signup information member
|First name member=Risa
|Last name member=Madoff
|Pronouns=she/her/hers
|Institute member=University of North Dakota
|Department member=Geology and Geological Engineering
|Postal address 1 member=81 Cornell ST - STOP 8358
|City member=Grand Forks
|Postal code member=58202-8358
|Country member=United States
|State member=North Dakota
|Confirm email member=risamadoff@yahoo.com
|Working group member=Terrestrial Working Group, Education and Knowledge Transfer (EKT) Working Group, Critical Zone Focus Research Group, Geodynamics Focus Research Group, Artificial Intelligence & Machine Learning Initiative, Modeling Platform Interoperability Initiative
|Emaillist group member=yes
|Description of your CSDMS-related interests member=Numerical modeling of landscape evolution, hillslope degradation, and surface processes
|Memberagreement=I have read and agree to the Privacy Policy
}}

2021 CSDMS meeting-044

2021-05-17T15:37:09Z

Rdmadoff:

{{CSDMS meeting personal information template-2021
|CSDMS meeting first name=Risa
|CSDMS meeting last name=Madoff
|CSDMS meeting institute=University of North Dakota
|CSDMS meeting city=Grand Forks
|CSDMS meeting country=United States
|CSDMS meeting state=North Dakota
|CSDMS meeting email address=risa.madoff@und.edu
}}
{{CSDMS meeting select clinics1 2021
|CSDMS_meeting_select_clinics1_2021=1) Git good with FAIR enough practices
}}
{{CSDMS meeting select clinics2 2021
|CSDMS_meeting_select_clinics2_2021=4) CSDMS at Hydroshare
}}
{{CSDMS meeting select clinics3 2021
|CSDMS_meeting_select_clinics3_2021=1) Landscape Evolution Modeling with TerrainBento and Landlab
}}
{{CSDMS meeting abstract yes no 2021
|CSDMS meeting abstract submit=Yes
}}
{{CSDMS meeting abstract title temp2021
|CSDMS meeting abstract title=Variations of Regional Erosion Rates Since LGM Mapped Through Time and Space
|Working_group_member_WG_FRG=Terrestrial Working Group
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Jaakko
|CSDMS meeting coauthor last name abstract=Putkonen
|CSDMS meeting coauthor institute / Organization=University of North Dakota
|CSDMS meeting coauthor town-city=Grand Forks
|CSDMS meeting coauthor country=United States
|State=North Dakota
|CSDMS meeting coauthor email address=jaakko.putkonen@und.edu
}}
{{CSDMS meeting abstract template 2021
|CSDMS meeting abstract=Our understanding of temporal changes in long term regional erosion rates in hundreds of years resolution is currently limited. The existing published research is either restricted in spatial coverage, the time frame is in millions of years, or the erosion rate through time is considered constant. We strive to fill this gap by mapping the regional erosion at a resolution of 3.70° latitude by 3.75° longitude (approximately 412 km x 416 km at the equator) at 500-year resolution for the past 21 ka for all land areas. We employ a transfer function that relates mean annual air temperature (MAAT) with erosion that is derived from published field observations recorded during recent times and transferred through the past 21 ka by using space-for-time substitution with paleo-temperature data from TraCE-21ka, a global climate model. Averaging erosion rates and MAAT by latitudes of the Kӧppen climate zones, a non-linear relationship was established. Among the many findings, the largest variation in erosion rates through time is found in cold regions, such as higher elevations and the Arctic. Furthermore, tropical or sub-tropical regions show minimal variation in erosion through time.
}}
{{CSDMS meeting abstract figures
|CSDMS meeting abstract figure=Madoff Poster Preview.pdf
}}
{{blank line template}}

File:Madoff Poster Preview.pdf

2021-05-17T15:36:50Z

Rdmadoff:

2021 CSDMS meeting-044

2021-04-23T23:20:06Z

Rdmadoff:

2021 CSDMS meeting-044

2021-04-23T23:17:46Z

Rdmadoff:

{{CSDMS meeting personal information template-2021
|CSDMS meeting first name=Risa
|CSDMS meeting last name=Madoff
|CSDMS meeting institute=University of North Dakota
|CSDMS meeting city=Grand Forks
|CSDMS meeting country=United States
|CSDMS meeting state=North Dakota
|CSDMS meeting email address=risa.madoff@und.edu
}}
{{CSDMS meeting select clinics1 2021
|CSDMS_meeting_select_clinics1_2021=1) Git good with FAIR enough practices
}}
{{CSDMS meeting select clinics2 2021
|CSDMS_meeting_select_clinics2_2021=4) CSDMS at Hydroshare
}}
{{CSDMS meeting select clinics3 2021
|CSDMS_meeting_select_clinics3_2021=1) Landscape Evolution Modeling with TerrainBento and Landlab
}}
{{CSDMS meeting abstract yes no 2021
|CSDMS meeting abstract submit=Yes
}}
{{CSDMS meeting abstract title temp2021
|CSDMS meeting abstract title=Variations of Regional Erosion Rates Since LGM Mapped Through Time and Space
|Working_group_member_WG_FRG=Terrestrial Working Group
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Jaakko
|CSDMS meeting coauthor last name abstract=Putkonen
|CSDMS meeting coauthor institute / Organization=University of North Dakota
|CSDMS meeting coauthor town-city=Grand Forks
|CSDMS meeting coauthor country=United States
|State=North Dakota
|CSDMS meeting coauthor email address=jaakko.putkonen@und.edu
}}
{{CSDMS meeting abstract template 2021
|CSDMS meeting abstract=Our understanding of temporal changes in long term regional erosion rates in hundreds of years resolution is currently limited. The existing published research is either restricted in spatial coverage, the time frame is in millions of years, or the erosion rate through time is considered constant. We strive to fill this gap by mapping the regional erosion at a resolution of 3.70° latitude by 3.75° longitude (approximately 412 km x 416 km at the equator) at 500-year resolution for the past 21 ka for all land areas. We employ a transfer function that relates mean annual air temperature (MAAT) with erosion that is derived from published field observations recorded during recent times and transferred through past 21 ka by using space-for-time substitution with paleo-temperature data from TraCE-21ka, a global climate model. Averaging erosion rates and MAAT by latitudes of the Kӧppen climate zones, a non-linear relationship was established. Among the many findings, the largest variation in erosion rates through time is found in cold regions, such as higher elevations and the Arctic. Furthermore, tropical or sub-tropical regions show minimal variation in erosion through time.
}}
{{blank line template}}

2021 CSDMS meeting-044

2021-04-23T23:16:34Z

Rdmadoff:

{{CSDMS meeting personal information template-2021
|CSDMS meeting first name=Risa
|CSDMS meeting last name=Madoff
|CSDMS meeting institute=University of North Dakota
|CSDMS meeting city=Grand Forks
|CSDMS meeting country=United States
|CSDMS meeting state=North Dakota
|CSDMS meeting email address=risa.madoff@und.edu
}}
{{CSDMS meeting select clinics1 2021
|CSDMS_meeting_select_clinics1_2021=1) Git good with FAIR enough practices
}}
{{CSDMS meeting select clinics2 2021
|CSDMS_meeting_select_clinics2_2021=4) CSDMS at Hydroshare
}}
{{CSDMS meeting select clinics3 2021
|CSDMS_meeting_select_clinics3_2021=1) Landscape Evolution Modeling with TerrainBento and Landlab
}}
{{CSDMS meeting abstract yes no 2021
|CSDMS meeting abstract submit=Yes
}}
{{CSDMS meeting abstract title temp2021
|CSDMS meeting abstract title=Variations of Regional Erosion Rates Since LGM Mapped Through Time and Space
|Working_group_member_WG_FRG=Terrestrial Working Group
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Jaakko
|CSDMS meeting coauthor last name abstract=Putkonen
|CSDMS meeting coauthor institute / Organization=University of North Dakota
|CSDMS meeting coauthor town-city=Grand Forks
|CSDMS meeting coauthor country=United States
|State=North Dakota
|CSDMS meeting coauthor email address=jaakko.putkonen@und.edu
}}
{{CSDMS meeting abstract template 2021
|CSDMS meeting abstract=Our understanding of temporal changes in long term regional erosion rates in hundreds of years resolution is currently limited. The existing published research is either restricted in spatial coverage, the time frame is in millions of years, or the erosion rate through time is considered constant. We strive to fill this gap by mapping the regional erosion at a resolution of 3.7° latitude by 3.75° longitude (approximately 412 km x 416 km at the equator) at 500-year resolution for the past 21 ka for all land areas. We employ a transfer function that relates mean annual air temperature (MAAT) with erosion that is derived from published field observations recorded during recent times and transferred through past 21 ka by using space-for-time substitution with paleo-temperature data from TraCE-21ka, a global climate model. Averaging erosion rates and MAAT by latitudes of the Kӧppen climate zones, a non-linear relationship was established. Among the many findings, the largest variation in erosion rates through time is found in cold regions, such as higher elevations and the Arctic. Furthermore, tropical or sub-tropical regions show minimal variation in erosion through time.
}}
{{blank line template}}

2021 CSDMS meeting-044

2021-04-23T23:15:00Z

Rdmadoff:

{{CSDMS meeting personal information template-2021
|CSDMS meeting first name=Risa
|CSDMS meeting last name=Madoff
|CSDMS meeting institute=University of North Dakota
|CSDMS meeting city=Grand Forks
|CSDMS meeting country=United States
|CSDMS meeting state=North Dakota
|CSDMS meeting email address=risa.madoff@und.edu
}}
{{CSDMS meeting select clinics1 2021
|CSDMS_meeting_select_clinics1_2021=1) Git good with FAIR enough practices
}}
{{CSDMS meeting select clinics2 2021
|CSDMS_meeting_select_clinics2_2021=4) CSDMS at Hydroshare
}}
{{CSDMS meeting select clinics3 2021
|CSDMS_meeting_select_clinics3_2021=1) Landscape Evolution Modeling with TerrainBento and Landlab
}}
{{CSDMS meeting abstract yes no 2021
|CSDMS meeting abstract submit=Yes
}}
{{CSDMS meeting abstract title temp2021
|CSDMS meeting abstract title=Variations of Regional Erosion Rates Since LGM Mapped Through Time and Space
|Working_group_member_WG_FRG=Terrestrial Working Group
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Jaakko
|CSDMS meeting coauthor last name abstract=Putkonen
|CSDMS meeting coauthor institute / Organization=University of North Dakota
|CSDMS meeting coauthor town-city=Grand Forks
|CSDMS meeting coauthor country=United States
|State=North Dakota
|CSDMS meeting coauthor email address=jaakko.putkonen@und.edu
}}
{{CSDMS meeting abstract template 2021
|CSDMS meeting abstract=Our understanding of temporal changes in long term regional erosion rates in hundreds of years resolution is currently limited. The existing published research is either restricted in spatial coverage, the time frame is in millions of years, or the erosion rate through time is considered constant. We strive to fill this gap by mapping the regional erosion at a resolution of 3.7° latitude by 3.75° long (approximately 412 km x 416 km at the equator) at 500-year resolution for the past 21 ka for all land areas.

We employ a transfer function that relates mean annual air temperature (MAAT) with erosion that is derived from published field observations recorded during recent times and transferred through past 21 ka by using space-for-time substitution with paleo-temperature data from TraCE-21ka, a global climate model. Averaging erosion rates and MAAT by latitudes of the Kӧppen climate zones, a non-linear relationship was established. Among the many findings, the largest variation in erosion rates through time is found in cold regions, such as higher elevations and the Arctic. Furthermore, tropical or sub-tropical regions show minimal variation in erosion through time.
}}
{{blank line template}}

2021 CSDMS meeting-044

2021-04-23T23:14:12Z

Rdmadoff:

{{CSDMS meeting personal information template-2021
|CSDMS meeting first name=Risa
|CSDMS meeting last name=Madoff
|CSDMS meeting institute=University of North Dakota
|CSDMS meeting city=Grand Forks
|CSDMS meeting country=United States
|CSDMS meeting state=North Dakota
|CSDMS meeting email address=risa.madoff@und.edu
}}
{{CSDMS meeting select clinics1 2021
|CSDMS_meeting_select_clinics1_2021=1) Git good with FAIR enough practices
}}
{{CSDMS meeting select clinics2 2021
|CSDMS_meeting_select_clinics2_2021=4) CSDMS at Hydroshare
}}
{{CSDMS meeting select clinics3 2021
|CSDMS_meeting_select_clinics3_2021=1) Landscape Evolution Modeling with TerrainBento and Landlab
}}
{{CSDMS meeting abstract yes no 2021
|CSDMS meeting abstract submit=Yes
}}
{{CSDMS meeting abstract title temp2021
|CSDMS meeting abstract title=Variations of Regional Erosion Rates Since LGM Mapped Through Time and Space
|Working_group_member_WG_FRG=Terrestrial Working Group
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Risa
|CSDMS meeting coauthor last name abstract=Madoff
|CSDMS meeting coauthor institute / Organization=University of North Dakota
|CSDMS meeting coauthor town-city=Grand Forks
|CSDMS meeting coauthor country=United States
|State=North Dakota
|CSDMS meeting coauthor email address=risa.madoff@und.edu
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Jaakko
|CSDMS meeting coauthor last name abstract=Putkonen
|CSDMS meeting coauthor institute / Organization=University of North Dakota
|CSDMS meeting coauthor town-city=Grand Forks
|CSDMS meeting coauthor country=United States
|State=North Dakota
|CSDMS meeting coauthor email address=jaakko.putkonen@und.edu
}}
{{CSDMS meeting abstract template 2021
|CSDMS meeting abstract=Our understanding of temporal changes in long term regional erosion rates in hundreds of years resolution is currently limited. The existing published research is either restricted in spatial coverage, the time frame is in millions of years, or the erosion rate through time is considered constant. We strive to fill this gap by mapping the regional erosion at a resolution of 3.7° latitude by 3.75° long (approximately 412 km x 416 km at the equator) at 500-year resolution for the past 21 ka for all land areas.

We employ a transfer function that relates mean annual air temperature (MAAT) with erosion that is derived from published field observations recorded during recent times and transferred through past 21 ka by using space-for-time substitution with paleo-temperature data from TraCE-21ka, a global climate model. Averaging erosion rates and MAAT by latitudes of the Kӧppen climate zones, a non-linear relationship was established. Among the many findings, the largest variation in erosion rates through time is found in cold regions, such as higher elevations and the Arctic. Furthermore, tropical or sub-tropical regions show minimal variation in erosion through time.
}}
{{blank line template}}

2021 CSDMS meeting-044

2021-02-02T21:27:54Z

Rdmadoff: Created page with "{{CSDMS meeting personal information template-2021 |CSDMS meeting first name=Risa |CSDMS meeting last name=Madoff |CSDMS meeting institute=University of North Dakota |CSDMS me..."

User:Rdmadoff

2019-10-14T01:43:38Z

Rdmadoff:

{{Signup information member
|First name member=Risa
|Last name member=Madoff
|Institute member=University of North Dakota
|Department member=Geology and Geological Engineering
|Postal address 1 member=81 Cornell ST - STOP 8358
|City member=Grand Forks
|Postal code member=58202-8358
|Country member=United States
|State member=North Dakota
|Confirm email member=risamadoff@yahoo.com
|Working group member=Terrestrial Working Group, Education and Knowledge Transfer (EKT) Working Group, Critical Zone Focus Research Group, Geodynamics Focus Research Group, Artificial Intelligence & Machine Learning Initiative, Modeling Platform Interoperability Initiative
|Emaillist group member=yes
|Description of your CSDMS-related interests member=Numerical modeling of landscape evolution, hillslope degradation, and surface processes
|Memberagreement=I have read and agree to the Privacy Policy
}}

2018 CSDMS meeting-063

2018-04-06T02:49:35Z

Rdmadoff: Created page with "{{CSDMS meeting personal information template-2018 |CSDMS meeting first name=Risa |CSDMS meeting last name=Madoff |CSDMS meeting institute=University of North Dakota |CSDMS me..."

{{CSDMS meeting personal information template-2018
|CSDMS meeting first name=Risa
|CSDMS meeting last name=Madoff
|CSDMS meeting institute=University of North Dakota
|CSDMS meeting city=Grand Forks
|CSDMS meeting country=United States
|CSDMS meeting state=North Dakota
|CSDMS meeting email address=risa.madoff@und.edu
|CSDMS meeting phone=575-649-5311
}}
{{CSDMS meeting scholar and pre-meeting
|CSDMS meeting pre-conference=None
|CSDMS meeting post-conference=No
}}
{{CSDMS meeting select clinics1 2018
|CSDMS_meeting_select_clinics1_2018=5) Will not attend a clinic
}}
{{CSDMS meeting select clinics2 2018
|CSDMS_meeting_select_clinics2_2018=4) Permafrost Toolbox
}}
{{CSDMS meeting select clinics3 2018
|CSDMS_meeting_select_clinics3_2018=2) Dakota
}}
{{CSDMS scholarships yes no
|CSDMS meeting scholarships=Yes
}}
{{CSDMS meeting abstract yes no 2018
|CSDMS meeting abstract submit=No
}}
{{CSDMS meeting abstract title temp2018}}
{{CSDMS meeting abstract template 2018}}
{{blank line template}}

Meeting confirmation CTSP 2018-079

2018-02-15T22:44:54Z

Rdmadoff: Created page with "{{Meeting confirmation personal information |CSDMSmeetingPerson=Rdmadoff |MeetingAcceptDecline=Decline }} {{Meeting logistics}} {{Meeting abstract yes no}} {{CSDMS meeting abs..."

{{Meeting confirmation personal information
|CSDMSmeetingPerson=Rdmadoff
|MeetingAcceptDecline=Decline
}}
{{Meeting logistics}}
{{Meeting abstract yes no}}
{{CSDMS meeting abstract title temp CTSP}}

Meeting application CTSP 2018-024

2017-12-07T21:15:58Z

Rdmadoff: Created page with "{{Meeting personal information |CSDMS meeting first name=Risa |CSDMS meeting last name=Madoff |CSDMS meeting affiliation=University of North Dakota |CSDMS meeting city=Grand F..."

{{Meeting personal information
|CSDMS meeting first name=Risa
|CSDMS meeting last name=Madoff
|CSDMS meeting affiliation=University of North Dakota
|CSDMS meeting city=Grand Forks
|CSDMS meeting country=United States
|CSDMS meeting state=North Dakota
|CSDMS meeting email address=risa.madoff@und.edu
}}
{{Meeting statement interest
|Meetingstatement_of_interest_submit=I am interested in climate-erosion-tectonic interactions and feedbacks and, therefore, in what the CSDMS community uses to asses forces and drivers at the various temporal and spatial scales. Tectonics can be measured at different temporal and spatial scales as well, so it is important to specify which aspects of tectonics are being referred to in an explanation of rates of surficial change, such as erosion. I think that we need to determine scaling parameters in order to be able to say how LTT plays out temporally in affecting rates of surface processes. This may take more than modeling, but modeling can be used to generate hypotheses about where and how to test for these through physical measurements in the field. I have being doing my own modeling by writing my own MATLAB code and interested in the community developments and how I might incorporate them. I am also early career and trying to become more engaged with the modeling community for the topic.
}}
{{Meeting abstract yes no
|CSDMS meeting abstract submit=Yes
}}

User:Rdmadoff

2015-05-22T22:00:36Z

Rdmadoff:

{{Signup information member
|First name member=Risa
|Last name member=Madoff
|Institute member=University of North Dakota
|Department member=Geology and Geological Engineering
|Postal address 1 member=81 Cornell ST - STOP 8358
|City member=Grand Forks
|Postal code member=58202-8358
|Country member=United States
|State member=North Dakota
|Confirm email member=risamadoff@yahoo.com
|Working group member=Terrestrial Working Group, Education and Knowledge Transfer (EKT) Working Group, Critical Zone Focus Research Group, Geodynamics Focus Research Group
|Emaillist group member=yes
|Description of your CSDMS-related interests member=Numerical modeling of landscape evolution, hillslope degradation, and surface processes
}}

User:Rdmadoff

2013-05-05T21:33:47Z

Rdmadoff:

{{Signup information member
|First name member=Risa
|Last name member=Madoff
|Institute member=University of North Dakota
|Department member=Geology and Geological Engineering
|Postal address 1 member=81 Cornell ST - STOP 8358
|City member=Grand Forks
|Postal code member=58202-8358
|Country member=United States
|State member=North Dakota
|Confirm email member=risamadoff@yahoo.com
|Working group member=Terrestrial Working Group, Education and Knowledge Transfer (EKT) Working Group, Critical Zone Focus Research Group, Geodynamics Focus Research Group
|Description of your CSDMS-related interests member=Numerical modeling of landscape evolution, hillslope degradation, and surface processes
}}

User:Rdmadoff

2013-01-30T01:18:32Z

Rdmadoff:

{{Signup information member
|First name member=Risa
|Last name member=Madoff
|Institute member=University of North Dakota
|Department member=Geology and Geological Engineering
|Postal address 1 member=81 Cornell ST - STOP 8358
|City member=Grand Forks
|Postal code member=58202-8358
|Country member=United States
|State member=North Dakota
|Confirm email member=risamadoff@yahoo.com
|Working group member=Terrestrial Working Group, Education and Knowledge Transfer (EKT) Working Group, CZO Focus Research Group
|Description of your CSDMS-related interests member=Numerical modeling of landscape evolution, hillslope degradation, and surface processes
}}