CSDMS - User contributions [en]

2026 CSDMS meeting-024

2026-02-26T17:14:25Z

Jeffskwang: Created page with "{{CSDMS meeting personal information template-2026 |CSDMS meeting first name=Jeffrey |CSDMS meeting last name=Kwang |CSDMS meeting institute=USGS |CSDMS meeting city=Saint Paul |CSDMS meeting country=United States |CSDMS meeting state=Minnesota |CSDMS meeting email address=jeffskwang@gmail.com }} {{CSDMS meeting select clinics1 2026 |CSDMS_meeting_select_clinics1_2026=3) Advancing Spatiotemporal Modeling with Deep Learning: CNN-LSTM Integration }} {{CSDMS meeting select..."

{{CSDMS meeting personal information template-2026
|CSDMS meeting first name=Jeffrey
|CSDMS meeting last name=Kwang
|CSDMS meeting institute=USGS
|CSDMS meeting city=Saint Paul
|CSDMS meeting country=United States
|CSDMS meeting state=Minnesota
|CSDMS meeting email address=jeffskwang@gmail.com
}}
{{CSDMS meeting select clinics1 2026
|CSDMS_meeting_select_clinics1_2026=3) Advancing Spatiotemporal Modeling with Deep Learning: CNN-LSTM Integration
}}
{{CSDMS meeting select clinics2 2026
|CSDMS_meeting_select_clinics2_2026=2) PyCoGSS: Helping you (and your students!) wrangle big landscape data
}}
{{CSDMS meeting select clinics3 2026
|CSDMS_meeting_select_clinics3_2026=1) TopoRivBlender: Reproducible 3D Visualizations in Blender and Python
}}
{{CSDMS meeting abstract yes no 2026
|CSDMS meeting abstract submit 2026=No
}}
{{CSDMS meeting abstract poster Epub 2026}}
{{CSDMS meeting abstract title temp2026}}
{{CSDMS meeting abstract template 2026}}
{{blank line template}}

Presenters-0706

2026-01-05T14:07:32Z

Jeffskwang:

{{Presenters temp
|CSDMS meeting event title=CSDMS 2026: Modeling Landscapes in Motion
|CSDMS meeting event year=2026
|CSDMS meeting presentation type=Clinic
|CSDMS meeting first name=Jeffrey
|CSDMS meeting last name=Kwang
|CSDMS meeting institute=U.S. Geological Survey
|Country member=United States
|CSDMS meeting state=Minnesota
|CSDMS meeting email address=jkwang@usgs.gov
|CSDMS meeting title presentation=TopoRivBlender: Reproducible 3D Visualizations in Blender and Python
}}
{{Presenters presentation
|CSDMS meeting abstract presentation=High-quality 3D visualizations can effectively engage audiences and aid our understanding environmental data yet creating them often feels out of reach for many researchers. The initial effort to overcome the technical complexity of gathering multiple datasets and 3D visualization software can be a barrier to producing photorealistic 3D images. This workshop aims to help participants create 3D visualizations of environmental data using Blender, a free, open-source 3D software. Here, we will focus on visualizing digital elevation models (DEMs), but the skills learned can also apply to visualizing other environmental datasets, for example, modeling results, field measurements, experimental data. We will use a Python-based workflow called TopoRivBlender to fetch, process, and visualize topographic, hydrographic, and satellite imagery geospatial data. With just a single command and a few minutes, this workflow will programmatically download an area of interest, process and project multiple geospatial datasets, and render photorealistic 3D visualizations with Blender. By the end of this workshop, participants will be able to:

- Create their own Blender images of topography, hydrography, and satellite imagery of any location on Earth

- Modify basic Blender settings for customizing the look of the 3D images

- Describe data pipelines and how TopoRivBlender uses the workflow management tool Snakemake to fetch, process, and visualize the geospatial data
|CSDMS meeting youtube code=0
|CSDMS meeting youtube views={{Youtube_0}}
|CSDMS meeting participants=0
}}
{{Presenters additional material
|Working group member=Terrestrial Working Group, Coastal Working Group, Marine Working Group, Education and Knowledge Transfer (EKT) Working Group, Cyberinformatics and Numerics Working Group, Hydrology 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, Coastal Vulnerability Initiative, Continental Margin Initiative, Artificial Intelligence & Machine Learning Initiative, Modeling Platform Interoperability Initiative, River Network Modeling Initiative
}}

User:Jeffskwang

2026-01-05T14:06:20Z

Jeffskwang:

{{Signup information member
|First name member=Jeffrey
|Last name member=Kwang
|Institute member=United States Geological Survey
|Department member=Water Resources Mission Area
|City member=Saint Paul
|Country member=United States
|State member=Minnesota
|Confirm email member=jeffskwang@gmail.com
|Website member=https://jeffskwang.github.io/
|Working group member=Terrestrial Working Group
|Emaillist group member=yes
|Memberagreement=I have read and agree to the Privacy Policy
}}

Presenters-0706

2026-01-05T14:01:32Z

Jeffskwang:

{{Presenters temp
|CSDMS meeting event title=CSDMS 2026: Modeling Landscapes in Motion
|CSDMS meeting event year=2026
|CSDMS meeting presentation type=Clinic
|CSDMS meeting first name=Jeffrey
|CSDMS meeting last name=Kwang
|CSDMS meeting institute=United States Geological Survey
|Country member=United States
|CSDMS meeting state=Minnesota
|CSDMS meeting email address=jkwang@usgs.gov
|CSDMS meeting title presentation=TopoRivBlender: Reproducible 3D Visualizations in Blender and Python
}}
{{Presenters presentation
|CSDMS meeting abstract presentation=High-quality 3D visualizations can effectively engage audiences and aid our understanding environmental data yet creating them often feels out of reach for many researchers. The initial effort to overcome the technical complexity of gathering multiple datasets and 3D visualization software can be a barrier to producing photorealistic 3D images. This workshop aims to help participants create 3D visualizations of environmental data using Blender, a free, open-source 3D software. Here, we will focus on visualizing digital elevation models (DEMs), but the skills learned can also apply to visualizing other environmental datasets, for example, modeling results, field measurements, experimental data. We will use a Python-based workflow called TopoRivBlender to fetch, process, and visualize topographic, hydrographic, and satellite imagery geospatial data. With just a single command and a few minutes, this workflow will programmatically download an area of interest, process and project multiple geospatial datasets, and render photorealistic 3D visualizations with Blender. By the end of this workshop, participants will be able to:

- Create their own Blender images of topography, hydrography, and satellite imagery of any location on Earth

- Modify basic Blender settings for customizing the look of the 3D images

- Describe data pipelines and how TopoRivBlender uses the workflow management tool Snakemake to fetch, process, and visualize the geospatial data
|CSDMS meeting youtube code=0
|CSDMS meeting youtube views={{Youtube_0}}
|CSDMS meeting participants=0
}}
{{Presenters additional material
|Working group member=Terrestrial Working Group, Coastal Working Group, Marine Working Group, Education and Knowledge Transfer (EKT) Working Group, Cyberinformatics and Numerics Working Group, Hydrology 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, Coastal Vulnerability Initiative, Continental Margin Initiative, Artificial Intelligence & Machine Learning Initiative, Modeling Platform Interoperability Initiative, River Network Modeling Initiative
}}

Presenters-0706

2026-01-05T14:01:17Z

Jeffskwang:

{{Presenters temp
|CSDMS meeting event title=CSDMS 2026: Modeling Landscapes in Motion
|CSDMS meeting event year=2026
|CSDMS meeting presentation type=Clinic
|CSDMS meeting first name=Jeffrey
|CSDMS meeting last name=Kwang
|CSDMS meeting institute=United States Geological Survey
|Country member=United States
|CSDMS meeting state=Minnesota
|CSDMS meeting email address=jkwang@usgs.gov
|CSDMS meeting title presentation=TopoRivBlender: Reproducible 3D Visualizations in Blender and Python
}}
{{Presenters presentation
|CSDMS meeting abstract presentation=High-quality 3D visualizations can effectively engage audiences and aid our understanding environmental data yet creating them often feels out of reach for many researchers. The initial effort to overcome the technical complexity of gathering multiple datasets and 3D visualization software can be a barrier to producing photorealistic 3D images. This workshop aims to help participants create 3D visualizations of environmental data using Blender, a free, open-source 3D software. Here, we will focus on visualizing digital elevation models (DEMs), but the skills learned can also apply to visualizing other environmental datasets, for example, modeling results, field measurements, experimental data. We will use a Python-based workflow called TopoRivBlender to fetch, process, and visualize topographic, hydrographic, and satellite imagery geospatial data. With just a single command and a few minutes, this workflow will programmatically download an area of interest, process and project multiple geospatial datasets, and render photorealistic 3D visualizations with Blender. By the end of this workshop, participants will be able to:

- Create their own Blender images of topography, hydrography, and satellite imagery of any location on Earth

- Modify basic Blender settings for customizing the look of the 3D images

- Describe data pipelines and how TopoRivBlender uses the workflow management tool Snakemake to fetch, process, and visualize the geospatial data
|CSDMS meeting youtube code=0
|CSDMS meeting youtube views={{Youtube_0}}
|CSDMS meeting participants=0
}}
{{Presenters additional material
|Working group member=Terrestrial Working Group, Coastal Working Group, Marine Working Group, Education and Knowledge Transfer (EKT) Working Group, Cyberinformatics and Numerics Working Group, Hydrology 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, Coastal Vulnerability Initiative, Continental Margin Initiative, Artificial Intelligence & Machine Learning Initiative, Modeling Platform Interoperability Initiative, River Network Modeling Initiative
}}

Presenters-0706

2026-01-05T14:00:58Z

Jeffskwang: Created page with "{{Presenters temp |CSDMS meeting event title=CSDMS 2026: Modeling Landscapes in Motion |CSDMS meeting event year=2026 |CSDMS meeting presentation type=Clinic |CSDMS meeting first name=Jeffrey |CSDMS meeting last name=Kwang |CSDMS meeting institute=United States Geological Survey |Country member=United States |CSDMS meeting state=Minnesota |CSDMS meeting email address=jkwang@usgs.gov |CSDMS meeting title presentation=TopoRivBlender: Reproducible 3D Visualizations in Blend..."

{{Presenters temp
|CSDMS meeting event title=CSDMS 2026: Modeling Landscapes in Motion
|CSDMS meeting event year=2026
|CSDMS meeting presentation type=Clinic
|CSDMS meeting first name=Jeffrey
|CSDMS meeting last name=Kwang
|CSDMS meeting institute=United States Geological Survey
|Country member=United States
|CSDMS meeting state=Minnesota
|CSDMS meeting email address=jkwang@usgs.gov
|CSDMS meeting title presentation=TopoRivBlender: Reproducible 3D Visualizations in Blender and Python
}}
{{Presenters presentation
|CSDMS meeting abstract presentation=High-quality 3D visualizations can effectively engage audiences and aid our understanding environmental data yet creating them often feels out of reach for many researchers. The initial effort to overcome the technical complexity of gathering multiple datasets and 3D visualization software can be a barrier to producing photorealistic 3D images. This workshop aims to help participants create 3D visualizations of environmental data using Blender, a free, open-source 3D software. Here, we will focus on visualizing digital elevation models (DEMs), but the skills learned can also apply to visualizing other environmental datasets, for example, modeling results, field measurements, experimental data. We will use a Python-based workflow called TopoRivBlender to fetch, process, and visualize topographic, hydrographic, and satellite imagery geospatial data. With just a single command and a few minutes, this workflow will programmatically download an area of interest, process and project multiple geospatial datasets, and render photorealistic 3D visualizations with Blender. By the end of this workshop, participants will be able to:
- Create their own Blender images of topography, hydrography, and satellite imagery of any location on Earth
- Modify basic Blender settings for customizing the look of the 3D images
- Describe data pipelines and how TopoRivBlender uses the workflow management tool Snakemake to fetch, process, and visualize the geospatial data
|CSDMS meeting youtube code=0
|CSDMS meeting youtube views={{Youtube_0}}
|CSDMS meeting participants=0
}}
{{Presenters additional material
|Working group member=Terrestrial Working Group, Coastal Working Group, Marine Working Group, Education and Knowledge Transfer (EKT) Working Group, Cyberinformatics and Numerics Working Group, Hydrology 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, Coastal Vulnerability Initiative, Continental Margin Initiative, Artificial Intelligence & Machine Learning Initiative, Modeling Platform Interoperability Initiative, River Network Modeling Initiative
}}

2023 CSDMS meeting-104

2023-03-29T18:17:14Z

Jeffskwang: Created page with "{{CSDMS meeting personal information template-2023 |CSDMS meeting first name=Jeffrey |CSDMS meeting last name=Kwang |CSDMS Pronouns=He/Him |CSDMS meeting institute=University of Minnesota Twin-Cities |CSDMS meeting city=Minneapolis |CSDMS meeting country=United States |CSDMS meeting state=Minnesota |CSDMS meeting email address=jeffskwang@gmail.com }} {{CSDMS meeting select clinics1 2023 |CSDMS_meeting_select_clinics1_2023=3) Using GPUs to Solve Science Problems Faster }}..."

{{CSDMS meeting personal information template-2023
|CSDMS meeting first name=Jeffrey
|CSDMS meeting last name=Kwang
|CSDMS Pronouns=He/Him
|CSDMS meeting institute=University of Minnesota Twin-Cities
|CSDMS meeting city=Minneapolis
|CSDMS meeting country=United States
|CSDMS meeting state=Minnesota
|CSDMS meeting email address=jeffskwang@gmail.com
}}
{{CSDMS meeting select clinics1 2023
|CSDMS_meeting_select_clinics1_2023=3) Using GPUs to Solve Science Problems Faster
}}
{{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=1) How to Route Flow in a Landscape with Landlab?
}}
{{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=Drainage network reorganization in landscapes buried by glacial deposits
|Working_group_member_WG_FRG=Terrestrial Working Group
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Andrew
|CSDMS meeting coauthor last name abstract=Wickert
|CSDMS meeting coauthor institute / Organization=University of Minnesota Twin-Cities
|CSDMS meeting coauthor town-city=Minneapolis
|CSDMS meeting coauthor country=United States
|State=Minnesota
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Isaac
|CSDMS meeting coauthor last name abstract=Larsen
|CSDMS meeting coauthor institute / Organization=University of Massachusetts Amherst
|CSDMS meeting coauthor town-city=Amherst
|CSDMS meeting coauthor country=United States
|State=Massachusetts
}}
{{CSDMS meeting abstract template 2023
|CSDMS meeting abstract=For landscapes to achieve a topographic steady state, they require steady tectonic uplift and climate, and a bedrock that is uniformly erodible in the vertical direction. Basic landscape evolution models predict that incising drainage networks will eventually reach a static geometric equilibrium – that is, the map-view channel pattern will remain constant. In contrast, natural rivers typically incise through heterogeneous bedrock, which can force reorganization of the drainage structure. To investigate how lithological variability can force landscape reorganization, we draw inspiration from formerly glaciated portions of the upper Mississippi Valley. In this region, depth-to-bedrock maps reveal buried dendritic river networks dissecting paleozoic sedimentary rock. During the Pleistocene, ice advance buried the bedrock topography with glacial till, resurfacing the landscape and resetting the landscape evolution clock. As newly formed drainage networks develop and incise into the till-covered surface, they exhume the buried bedrock topography. This then leads to a geomorphic "decision point": Will the rivers follow the course of the bedrock paleodrainage network? Or will they maintain their new pattern? Using a numerical landscape evolution model, we find that two parameters determine this decision: (1) the contrast between the rock erodibility of the glacial till (more erodible) and of the buried sedimentary rock (less erodible) and (2) the orientation of the surface drainage network with respect to the buried network. We find that as the erodibility contrast increases, the drainage pattern is more likely to reorganize to follow the buried bedrock valleys. Additionally, as the alignment of the two networks increases, the surface drainage network also tends to restructure itself to follow the paleodrainage network. However, when there is less contrast and/or alignment, the surface drainage pattern becomes superimposed on the bedrock topography, with streams cutting across buried bedrock ridges. Our results agree with field studies demonstrating that variability in erodibility exerts a first-order control on landscape evolution and morphology. Our findings can provide insight into how lithologic variation affects surface processes, drives drainage reorganization, and creates geopatterns.
}}
{{CSDMS meeting abstract figures
|CSDMS meeting abstract figure=Kwang poster agu 2022 600dpi.pdf
}}
{{blank line template}}

File:Kwang poster agu 2022 600dpi.pdf

2023-03-29T18:16:50Z

Jeffskwang:

Meeting confirmation CTSP 2018-059

2018-02-10T22:29:30Z

Jeffskwang: Created page with "{{Meeting confirmation personal information |CSDMSmeetingPerson=Jeffskwang |MeetingAcceptDecline=Accept }} {{Meeting logistics |Hotelnights=Tuesday April 24, Wednesday April 2..."

{{Meeting confirmation personal information
|CSDMSmeetingPerson=Jeffskwang
|MeetingAcceptDecline=Accept
}}
{{Meeting logistics
|Hotelnights=Tuesday April 24, Wednesday April 25, Thursday April 26
|MultipleRoomMate=Yes
|RoomGender=Male
|DinnerYesNo=Yes
|MainCourse=Salmon
}}
{{Meeting abstract yes no
|CSDMS meeting abstract submit=Yes
}}
{{CSDMS meeting abstract title temp CTSP}}

Meeting application CTSP 2018-062

2018-01-04T22:27:02Z

Jeffskwang: Created page with "{{Meeting personal information |CSDMS meeting first name=Jeffrey |CSDMS meeting last name=Kwang |CSDMS meeting affiliation=University of Illinois |CSDMS meeting city=Urbana |C..."

{{Meeting personal information
|CSDMS meeting first name=Jeffrey
|CSDMS meeting last name=Kwang
|CSDMS meeting affiliation=University of Illinois
|CSDMS meeting city=Urbana
|CSDMS meeting country=United States
|CSDMS meeting state=Illinois
|CSDMS meeting email address=jeffskwang@gmail.com
|CSDMS meeting phone=636-399-2182
}}
{{Meeting statement interest
|Meetingstatement_of_interest_submit=I want to attend this meeting to help define the problems our current models have and what we need to overcome them. I hope that I can contribute by helping us move towards solving them. I think a good way of understanding the next steps in how surface processes interact with long term tectonic processes is to catalog the current capabilities and limitations of our models. Some questions that I would like to ask and help answer are: What are our current numerical landscape evolution models good at, and how can we tell? What results can our landscape and tectonic models not reproduce? What are the missing processes that our landscape evolution models need to reproduce these results? What are the numerical and computational obstacles stopping us from incorporating these processes? From my adviser, Gary Parker, I have learned a great deal about reduced complexity modeling, and I know that adding extra complexity to a model adds extra complexity to the numerical and computational aspects of the code as well as complexity to the interpretation of the results. A problem I am currently working on involves understanding the feedbacks and interactions between landslides and landscape evolution. Landslides are important to landscape evolution because they can provide sediment that incises the beds of rivers by acting as an abrasive material. To study these interactions, I need to resolve how sediment moves within the landscape by coupling alluvial morphodynamics with a landscape evolution model. Currently, this incorporation into my code requires the time step in my model to be much smaller than what long-term landscape evolution and tectonic models normally use. I want to help develop a way to couple these spatially small and temporally short alluvial processes to large-scale and long-term landform processes in an efficient manner. This meeting would be a good opportunity to find others whom are interested in working on this problem or want to collaborate on other new ideas.
}}
{{Meeting abstract yes no
|CSDMS meeting abstract submit=Yes
}}

User:Jeffskwang

2017-08-02T03:46:31Z

Jeffskwang: Created page with "{{Signup information member |First name member=Jeffrey |Last name member=Kwang |Institute member=University of Illinois at Urbana-Champaign |Department member=Department of Ci..."

{{Signup information member
|First name member=Jeffrey
|Last name member=Kwang
|Institute member=University of Illinois at Urbana-Champaign
|Department member=Department of Civil and Environmental Engineering
|City member=Urbana
|Country member=United States
|State member=Illinois
|Confirm email member=jeffskwang@gmail.com
|Working group member=Terrestrial Working Group
|Emaillist group member=yes
}}