CSDMS - User contributions [en]

2023 CSDMS meeting-039

2023-04-17T23:13:45Z

Jhariharan:

{{CSDMS meeting personal information template-2023
|CSDMS meeting first name=Jayaram
|CSDMS meeting last name=Hariharan
|CSDMS meeting institute=USGS
|CSDMS meeting city=Baltimore
|CSDMS meeting country=United States
|CSDMS meeting state=MD
|CSDMS meeting email address=jhariharan@usgs.gov
}}
{{CSDMS meeting select clinics1 2023
|CSDMS_meeting_select_clinics1_2023=2) Best practices open source Python-based infrastructure
}}
{{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=Programmatic Retrieval of USGS Water Data: The Data Retrievals
|Working_group_member_WG_FRG=Education and Knowledge Transfer (EKT) Working Group, Hydrology Focus Research Group
}}
{{CSDMS meeting abstract template 2023
|CSDMS meeting abstract=The U.S. Geological Survey (USGS) is one of the largest providers of U.S. hydrologic data, which are used in informing policy, managing water resources, and countless scientific studies. Modern science is increasingly conducted by performing analysis on data that are first loaded from an online database into a local computational environment. To facilitate open and reproducible hydrologic science, the USGS has developed dataRetrieval (R), dataretrieval (Python), and DataRetrieval.jl (Julia): three packages providing multi-language access to hydrologic data from the U.S. Geological Survey, as well as the multi-agency Water Quality Portal. The Julia, Python, and R programming languages are open source, high-level (easy to program), have large communities of scientific users and developers. Notably, these three languages are the core languages supported by Project Jupyter, and run in the Jupyter Notebook, a popular web-based interactive computing platform.
These packages, collectively the “data retrievals,” allow scientists to programmatically access USGS hydrologic data in Julia, Python, and R. The “data retrievals” enable more than simply the retrieval of environmental data, they also provide tooling for data discovery, enabling users to find monitoring sites and identify what types of data are available at which locations. These functions represent foundational building blocks allowing for the creation of fully reproducible hydrologic workflows from data acquisition to output plots, tables, and reports.
}}
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2023 CSDMS meeting-039

2023-02-24T13:39:51Z

Jhariharan: Created page with "{{CSDMS meeting personal information template-2023 |CSDMS meeting first name=Jayaram |CSDMS meeting last name=Hariharan |CSDMS meeting institute=USGS |CSDMS meeting city=Baltimore |CSDMS meeting country=United States |CSDMS meeting state=MD |CSDMS meeting email address=jhariharan@usgs.gov }} {{CSDMS meeting select clinics1 2023 |CSDMS_meeting_select_clinics1_2023=2) Best practices open source Python-based infrastructure }} {{CSDMS meeting select clinics2 2023 |CSDMS_meet..."

User:Jhariharan

2023-02-15T19:09:29Z

Jhariharan:

{{Signup information member
|First name member=Jayaram
|Last name member=Hariharan
|Institute member=USGS
|City member=Baltimore
|Country member=United States
|State member=Maryland
|Confirm email member=jhariharan@usgs.gov
|Working group member=Coastal Working Group, Education and Knowledge Transfer (EKT) Working Group, Hydrology Focus Research Group, Coastal Vulnerability Initiative, Modeling Platform Interoperability Initiative, River Network Modeling Initiative
|Emaillist group member=yes
|Description of your CSDMS-related interests member=Connecting the CSDMS community to USGS water data
|Memberagreement=I have read and agree to the Privacy Policy
}}

2022 CSDMS meeting-006

2022-01-25T19:02:59Z

Jhariharan: Created page with "{{CSDMS meeting personal information template-2022 |CSDMS meeting first name=Jayaram |CSDMS meeting last name=Hariharan |CSDMS meeting institute=The University of Texas at Aus..."

{{CSDMS meeting personal information template-2022
|CSDMS meeting first name=Jayaram
|CSDMS meeting last name=Hariharan
|CSDMS meeting institute=The University of Texas at Austin
|CSDMS meeting city=Austin
|CSDMS meeting country=United States
|CSDMS meeting state=Texas
|CSDMS meeting email address=jayaram.hariharan@gmail.com
|CSDMS meeting phone=2032494265
}}
{{CSDMS meeting select clinics1 2022
|CSDMS_meeting_select_clinics1_2022=2) Variable resolution mesh based flow direction and hydrologic modeling: An introduction to HexWatershed
}}
{{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=2) Rapid hypothesis testing and analysis with the open-source delta model pyDeltaRCM
}}
{{CSDMS meeting abstract yes no 2022
|CSDMS meeting abstract submit=No
}}
{{CSDMS meeting abstract title temp2022}}
{{CSDMS meeting abstract template 2022}}
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2021 CSDMS meeting-029

2021-01-27T15:53:10Z

Jhariharan: Created page with "{{CSDMS meeting personal information template-2021 |CSDMS meeting first name=Jayaram |CSDMS meeting last name=Hariharan |CSDMS meeting institute=UT Austin |CSDMS meeting city=..."

{{CSDMS meeting personal information template-2021
|CSDMS meeting first name=Jayaram
|CSDMS meeting last name=Hariharan
|CSDMS meeting institute=UT Austin
|CSDMS meeting city=Austin
|CSDMS meeting country=United States
|CSDMS meeting state=Texas
|CSDMS meeting email address=jayaram.hariharan@utexas.edu
}}
{{CSDMS meeting select clinics1 2021
|CSDMS_meeting_select_clinics1_2021=3) An Introduction to using Google Earth Engine
}}
{{CSDMS meeting select clinics2 2021
|CSDMS_meeting_select_clinics2_2021=5) Building Interactive Dashboards for ESP Modeling with Python & Jupyter
}}
{{CSDMS meeting select clinics3 2021
|CSDMS_meeting_select_clinics3_2021=2) Exploring river and delta channel networks with RivGraph
}}
{{CSDMS meeting abstract yes no 2021
|CSDMS meeting abstract submit=No
}}
{{CSDMS meeting abstract title temp2021}}
{{CSDMS meeting abstract template 2021}}
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Lab-0020

2020-12-07T23:02:55Z

Jhariharan:

{{Labbasics
|Labtitle=Alternative mesh generation for Landlab
|LabCOModule=1 of 1
|LabDateContributedOrUpdated=2020-12-01
|LabDescriptionShort=This lab uses the mesh generator ''dmsh'' and the mesh generator from the Anuga model to create unstructured grids that can be passed into Landlab.
|LabCODuration=1.0 hrs
|LabModelDocumentation=Landlab
|LabAssociatedLesson=Jupyter Notebook
|LabURLDownloadNotebook=https://github.com/elbeejay/meshing-with-landlab/tree/master/examples
}}
{{LabContributorData
|LabContributorName=Jay Hariharan
|LabContributorInstitute=University of Texas at Austin
|LabContributorURLPersonal=https://jayaramhariharan.com
}}
{{LabIntro
|LabDescription=This lab consists of three notebooks that use the mesh generator ''dmsh'' and the mesh generator from Anuga to create unstructured grids that are passed into Landlab. The examples contain code for creating Landlab models using these other mesh generators as a starting point. Only the flow accumulation and drainage area components are demo'd, but there are many other questions one might want to ask about the influence of cell resolution (and local cell resolution) on different landscape evolution processes.
|LabPicture=Output 29 0.png
}}
{{LabClassroomOrganization
|LabCOIntro=This lab is designed for undergraduate and graduate students studying earth sciences. The notebooks give participants the opportunity to interactively explore the topics covered.
}}
{{LabLearningObjectivesSkills
|LabSkill=Mesh generation in dmsh, Anuga, and Landlab
}}
{{Headerplaceholder}}
{{LabTopicalLearningObjectives
|LabTopicalLearningObjective=Mesh generation
}}
{{LabTopicalLearningObjectives
|LabTopicalLearningObjective=Mesh visualization
}}
{{LabNotes
|LabNotesInstructions=More information on the examples used in this lab can be found in the documentation: https://elbeejay.github.io/meshing-with-landlab/.

The source code for the examples can be found at https://github.com/elbeejay/meshing-with-landlab.
|LabNotesFigure=Output 26 01.png
|LabNotesFigureCaption=A result from using an Anuga-generated grid with the Landlab flow accumulator. The source elevation data is displyed on the left, the generated Landlab grid with elevations in the center, and the resulting flow accumulation map on the right.
|LabNotesRequirements=If run locally, this lab requires the installtion of the Python packages ''numpy'', ''matplotlib'', ''landlab'', ''dmsh'', ''anuga'', ''itkwidgets'', and ''pyvista''. See https://jayaramhariharan.com/meshing-with-landlab/dependencies for more detailed installation instructions.
}}
{{LabReferences
|LabReferences=Barnhart, Katherine R., et al. "Landlab v2. 0: a software package for Earth surface dynamics." Earth Surface Dynamics 8.2 (2020): 379-379.
}}
{{LabReferences
|LabReferences=Schlömer, Nico. "dmsh." GitHub Repository. v0.2.9 (2020): https://github.com/nschloe/dmsh
}}
{{LabReferences
|LabReferences=Roberts, S., et al. "ANUGA user manual. Release 2.0." Geoscience Australia, Symonston (2015).
}}

User:Jhariharan

2018-09-06T14:12:23Z

Jhariharan: Created page with "{{Signup information member |First name member=Jayaram |Last name member=Hariharan |Institute member=University of Texas at Austin |City member=Austin |Country member=United S..."

{{Signup information member
|First name member=Jayaram
|Last name member=Hariharan
|Institute member=University of Texas at Austin
|City member=Austin
|Country member=United States
|State member=Texas
|Confirm email member=jayaram.hariharan@gmail.com
|Working group member=Coastal Working Group, Hydrology Focus Research Group, Geodynamics Focus Research Group
|Emaillist group member=yes
|Description of your CSDMS-related interests member=Interested in using CSDMS models for numerical delta simulations.
|Memberagreement=I have read and agree to the Privacy Policy
}}