Meet face-to-face to plan 2017 project goals
Timeline
SubTasks
From Organic Data Science Framework
Legend: M Mandatory | States: ■ Not defined, ■ Valid, ■ Inconsistent with parent
Logistics
Dates: February 2-3, 2017
Location: ISI East offices in Arlington VA.
Schedule: Breakfast served at 8:30am. Start time: 9am. Dinner planned for 7pm at SER (walking distance from meeting and hotels).
Agenda
- @Paul_Hanson, @Chris_Duffy @Hilary_Dugan @Daniel_Garijo: Please add to the agenda below, feel free to edit directly or add comments -- -- Yolanda
IMPORTANT NOTE: The agenda is in the ODSF site, but the pointers below are to a separate site for Age of Water.
- Discussion of within-group and cross-group project goals (All)
- Intelligent systems research goals (ISI)
- Capture research meta-workflows as tasks in Organic Data Science Framework (ODSF)
- Integrate in ODSF descriptions of individual research products: models, datasets, ancillary software, workflows
- Analyze how ODSF facilitates the dissemination of meta-workflows and research products to new science collaborators
- Geosciences research goals (PSU)
- Environmental research goals (UW)
- Age of water integrative research goals (PSU and UW)
- Support multi-disciplinary work (e.g. with CNH)
- Basic science: Already done conceptually, but need to start to work with actual data and running workflows
- Goal is to bring the field up to speed with lake-catchment modeling.
- Experience with working with other groups it is clear that running a lake model is not easy to learn, so need ODSF to help capture the calibration and modeling process. Documentation is very poor (sparse and/or obsolete), and it is hard to set up the model. Current approach is not working, little adoption.
- Hurdle in initial investment, so it is important for them to understand the kinds of questions that one can answer. And even more of a hurdle to do lake-catchment simulation
- Making the simulation products available would be very useful for the community, it would allow researchers to understand the value of the coupled models
- Our goal could be to set up a repository of model products for all lake-catchment systems in the US. Then researchers could experiment with the models if they want to, but they would not have to set them up from scratch
- Coupling of hydrology and lake models (PIHM and GLM)
- Joint research goals (PSU, UW, ISI)
- Facilitate multi-disciplinary research through the dissemination of meta-workflows and research products to new science collaborators
- Intelligent systems research goals (ISI)
- Proposed approach to capture research meta-workflows and research products (ISI -- based on prior discussions with PSU and UW)
- Capturing modeling tasks (Yolanda)
- Create lake model workflow
- Create hydrology model workflow
- Coupled model
- Documenting modeling workflows
- Describing research products (Daniel)
- Describing data
- User-provided data: examples
- User-described data
- Describing software in ODSF with OntoSoft
- Describing workflows in ODSF with WINGS
- GLM workflow: Sketch, [DANIEL PLEASE ADD LINK implementation] (need to login to Daniel's account):
- PIHM workflow: Sketch, implementation of a small water runoff workflow with PIHM (need to login to Paul's account)
- GLM workflow: Sketch, [DANIEL PLEASE ADD LINK implementation] (need to login to Daniel's account):
- Describing data
- Capturing modeling tasks (Yolanda)
- Proposed approach to model coupling and age of water research (PSU)
- Strategy for coupling PIHM and GLM (Yu)
- Age modeling of lake catchments (Chris)
- Discussion (Hilary)
- Plan for the Coupling of models
- Plan for the Harmonization of data from PIHM to GLM
Properties
Incoming Properties
Credits
