Section 1 of 4
SWOT Oceans Code & Data Product Poll
Background and survey goals: The size and complexity of the SWOT oceanography dataset will be a challenge for data processing workflows, possibly requiring new approaches to data, computing, and collaboration. NASA plans to release SWOT data via the AWS cloud, while CNES will share data through a distribution center. Many journal and scientific society guidelines now encourage or require open release of data and software, and NASA strongly supports such “open science” practices for its sponsored projects. However, in practice, sharing data and code openly can be challenging on both a technical and social level.
The goals of this survey are to gather information about how SWOT science team members are currently participating in open science, to better understand future needs in this area as related to SWOT data, and to identify priorities by which the project can help SWOT investigators achieve their objectives. Based on the responses, we can determine how best to help the science team prepare for analyzing the upcoming SWOT data hosted in the cloud to ensure the mission data has maximum science value.
The goals of this survey are to gather information about how SWOT science team members are currently participating in open science, to better understand future needs in this area as related to SWOT data, and to identify priorities by which the project can help SWOT investigators achieve their objectives. Based on the responses, we can determine how best to help the science team prepare for analyzing the upcoming SWOT data hosted in the cloud to ensure the mission data has maximum science value.
Section 2 of 4
SWOT Ocean data: Pre-launch resources and post-launch data products
Information on planned SWOT data products is available from PO.DAAC (https://podaac.jpl.nasa.gov/SWOT?tab=datasets) including some sample data files.
Level 2 products are described here: https://podaac-tools.jpl.nasa.gov/drive/files/misc/web/misc/swot_mission_docs/pdd/D-56407_SWOT_Product_Description_L2_LR_SSH_20200806.pdf
Level 1 products are described here: https://podaac-tools.jpl.nasa.gov/drive/files/misc/web/misc/swot_mission_docs/pdd/D-56405_SWOT_Product_Description_L1B_LR_INTF_20200810.pdf
Level 2 products are described here: https://podaac-tools.jpl.nasa.gov/drive/files/misc/web/misc/swot_mission_docs/pdd/D-56407_SWOT_Product_Description_L2_LR_SSH_20200806.pdf
Level 1 products are described here: https://podaac-tools.jpl.nasa.gov/drive/files/misc/web/misc/swot_mission_docs/pdd/D-56405_SWOT_Product_Description_L1B_LR_INTF_20200810.pdf
To what extent are you familiar with the two documents?
To what extent are you familiar with the two documents?
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Did not know of their existence before seeing this survey
Have read them and know well the described data products
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Have you downloaded and examined the Low-Resolution (LR) SSH sample files?
Have you downloaded and examined the Low-Resolution (LR) SSH sample files?
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What SWOT data products do you anticipate using first? (We assume that most users will want to start with the Level 2 "Basic" sea surface height, but recognizes that projects anticipate a range of requirements.)
What SWOT data products do you anticipate using first? (We assume that most users will want to start with the Level 2 "Basic" sea surface height, but recognizes that projects anticipate a range of requirements.)
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Level 2, Basic SSH gridded at 2 km, with standard environmental corrections (solid Earth tide, ocean tide, pole tide, dynamic atmosphere corrections) applied
Level 2, Wind and wave product at 2 km
Level 2, Expert product with SSH, wind and waves, and individual environmental corrections (and alternative corrections)
Level 2, Unsmoothed SSH on 250 m "native" grid
Level 1, Interferograms for each of the 9 beams, 250 m postings, 500 m x 500 m resolution
Level 3-type, intermediate level 2 km swath data with corrections applied, filtered to reduce noise, multi-satellite intercalibration (similar to DUACS along-track SLA but on 2D swath grid)
Level 4, Multi-altimeter or assimilated gridded product (analogous to the Level 4 AVISO/DUACS SSH on a regular space-time grid)
Nadir altimetry
Other:
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Do you plan to run SWOT simulator calculations within your research group?
Do you plan to run SWOT simulator calculations within your research group?
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Would it help you prepare for SWOT research if a common simulated data set (made from the SWOT simulator and a realistic global model simulation) were provided?
Would it help you prepare for SWOT research if a common simulated data set (made from the SWOT simulator and a realistic global model simulation) were provided?
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If yes, what products (e.g., L2 swaths, with or without errors etc.) would you prioritize, and what applications would you anticipate?
If yes, what products (e.g., L2 swaths, with or without errors etc.) would you prioritize, and what applications would you anticipate?
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PO.DAAC/AVISO can host sample files in the cloud to mimic the post launch scenarios. How important is it for your work and preparation?
PO.DAAC/AVISO can host sample files in the cloud to mimic the post launch scenarios. How important is it for your work and preparation?
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As part of your SWOT research, will you be producing a data product (or products)?
As part of your SWOT research, will you be producing a data product (or products)?
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If yes, what format (e.g. netcdf, binary, etc.) and size do you anticipate?
If yes, what format (e.g. netcdf, binary, etc.) and size do you anticipate?
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Does the SWOT Science Team need a common solution for sharing data products (e.g. intermediate results, Level 3 or Level 4 products, model output, in situ data) within the team?
Does the SWOT Science Team need a common solution for sharing data products (e.g. intermediate results, Level 3 or Level 4 products, model output, in situ data) within the team?
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Other comments regarding data access and sharing
Other comments regarding data access and sharing
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Section 3 of 4
Analysis Software Questions
This section will help us better understand how SWOT Science Team members plan to analyze SWOT data.
How would you rate your experience level in ocean remote-sensing data analysis?
How would you rate your experience level in ocean remote-sensing data analysis?
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Which of the following analysis capability do you expect to use with SWOT data?
Which of the following analysis capability do you expect to use with SWOT data?
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Extraction of spatiotemporal regions
Collocation of multiple variables from different sensors / platforms / models
Spatiotemporal spectral analysis
Statistical analysis
Calculation of derived quantities (e.g. velocity, vorticity, etc.)
Noise reduction
Spatial averaging / coarse graining
Training / applying machine learning models
Lagrangian analysis (i.e. computing particle trajectories)
Data assimilation
Simulation of SWOT measurements from numerical simulations
Transformation of data from native format to an other format to facilitate further analysis
Making maps
Interactive visualization
Distributed computing for processing large data volumes
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What is the MAIN type of computational environment you plan to use to analyze SWOT data
What is the MAIN type of computational environment you plan to use to analyze SWOT data
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Personal laptop
Shared single station server
High-performance computing cluster hosted at your institution
NASA-sponsored high-performance computing cluster (e.g. Pleiades)
Cloud computing environment
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What is the MAIN programming language you plan to use to analyze / process / visualize SWOT data?
What is the MAIN programming language you plan to use to analyze / process / visualize SWOT data?
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MATLAB
Python
IDL
R
Julia
C / C++
Fortran
Java
JavaScript
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For your main programming language, which toolboxes / packages / libraries / etc. do you plan to use to analyze / process / visualize SWOT data? Separate multiple values by commas. For example, MATLAB users could say "Signal Processing Toolbox". Python users might say “Xarray, Dask, Cartopy”. R users might say “RStoolbox, raster”. List as many packages as you want.
For your main programming language, which toolboxes / packages / libraries / etc. do you plan to use to analyze / process / visualize SWOT data? Separate multiple values by commas. For example, MATLAB users could say "Signal Processing Toolbox". Python users might say “Xarray, Dask, Cartopy”. R users might say “RStoolbox, raster”. List as many packages as you want.
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Do you actively contribute to the development of any openly available toolboxes / packages / libraries? Please list
Do you actively contribute to the development of any openly available toolboxes / packages / libraries? Please list
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For your main programming language and associated toolboxes / packages / libraries, what do you see as priority needs? As examples, this could include user training, collaboration opportunities, a need for new applications, or computational constraints.
For your main programming language and associated toolboxes / packages / libraries, what do you see as priority needs? As examples, this could include user training, collaboration opportunities, a need for new applications, or computational constraints.
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How confident are you that your computing environment, programming language, and associated toolboxes will adequately meet your needs for SWOT data analysis?
How confident are you that your computing environment, programming language, and associated toolboxes will adequately meet your needs for SWOT data analysis?
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Zero confidence
High confidence
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Would you be interested in receiving training in new programming languages and analysis tools to help empower your SWOT data analysis.
Would you be interested in receiving training in new programming languages and analysis tools to help empower your SWOT data analysis.
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If yes, what training would you like to receive?
If yes, what training would you like to receive?
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Multi-day hackathon / bootcamp style training
Shorter recurring sessions (e.g. weekly / monthly)
Online resources for self-directed learning (e.g. videos, tutorials, etc.)
Curated online gallery of real-world examples
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Would you be interested in collaborating with other SWOT Science Team members on developing shared analysis toolboxes / packages / libraries?
Would you be interested in collaborating with other SWOT Science Team members on developing shared analysis toolboxes / packages / libraries?
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If so, what sorts of analysis toolboxes / packages / libraries would you like to collaborate on? To list a few as an example: denoising, error correction, regridding, tidal reconstruction, inversion within quasi-geostrophic framework, regional/global calibration/validation, Pangeo, cloud-native analysis etc. Please list as many as you want including specific existing packages.
If so, what sorts of analysis toolboxes / packages / libraries would you like to collaborate on? To list a few as an example: denoising, error correction, regridding, tidal reconstruction, inversion within quasi-geostrophic framework, regional/global calibration/validation, Pangeo, cloud-native analysis etc. Please list as many as you want including specific existing packages.
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Other comments on analysis software?
Other comments on analysis software?
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Section 4 of 4
SWOT Research Code Questions
One goal of NASA’s open science initiative is to accelerate scientific discoveries by making it easier to collaborate, share, reproduce results, and build upon others’ work. For data analysis and computational science, this means sharing of “research code”, i.e. the code / scripts used to perform the analysis for a specific paper or scientific investigation. Effective sharing of project research code requires not only the code itself but also specifying the software environment and providing access to the data used for the analysis.
How important do you think it is for scientists to share research code publicly?
How important do you think it is for scientists to share research code publicly?
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How important do you think it is for SWOT Science Team members to share research code across the science team?
How important do you think it is for SWOT Science Team members to share research code across the science team?
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How much experience do you have in sharing research code publicly?
How much experience do you have in sharing research code publicly?
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How much experience do you have with Jupyter notebooks
How much experience do you have with Jupyter notebooks
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Which, if any, of the code sharing strategies have you personally used
Which, if any, of the code sharing strategies have you personally used
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Emailing code
Putting code on a website
Dropbox / Google Drive
GitHub
BitBucket
Zenodo
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How much experience do you have with containerization tools (e.g. Docker)
How much experience do you have with containerization tools (e.g. Docker)
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Which, if any, of the following tools for creating isolated virtual environments do you use?
Which, if any, of the following tools for creating isolated virtual environments do you use?
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virtualenv
pipenv
conda / mamba
nix
Julia projects
Docker
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Which, if any, of the following interactive code-sharing tools have you used?
Which, if any, of the following interactive code-sharing tools have you used?
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Binder
CodeOcean
Gigantum
None
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Would you be interested in receiving training on best practices for sharing research code?
Would you be interested in receiving training on best practices for sharing research code?
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Other comments on research code sharing
Other comments on research code sharing
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