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Update news/2025-09-09-tempo-workshop/index.qmd
Co-authored-by: Julia Stewart Lowndes <julia@openscapes.org>
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news/2025-09-09-tempo-workshop/index.qmd

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The ASDC led a "Cloud Access Mini-Workshop" demonstrating virtual dataset capabilities through hands-on Jupyter notebook tutorials, where participants accessed TEMPO Level-3 data using Openscapes' 2i2c JupyterHub in AWS Cloud while learning techniques aligned with NASA's Open Science principles. The discussion examined satellite data access challenges from traditional HDF and NetCDF formats rather than cloud-optimized files, which a collaborative team—comprising NASA DAACs, Openscapes, OPeNDAP, and open source contributors—is addressing through DMR++ granule-level references and VirtualiZarr approaches using collection-level references. The successful workshop featured engaging collaborative discussion with hands-on Level-2 TEMPO experimentation that explored treating individual granules as virtual datasets via DMR++ reference files and identified opportunities for earthaccess improvements to simplify virtual datacube configuration. Based on participant feedback and observed engagement, future workshops will benefit from pre-workshop use-case surveys, extended duration for technical depth, tiered complexity examples, and structured breakout sessions to maximize learning outcomes and support users' transition to cloud-native data access approaches. Ideas for improving future such workshops:
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The ASDC led a "Cloud Access Mini-Workshop" demonstrating virtual dataset capabilities through hands-on Jupyter notebook tutorials, where participants accessed TEMPO Level-3 data using Openscapes' 2i2c JupyterHub in AWS Cloud while learning techniques aligned with NASA's Open Science principles.
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The discussion examined satellite data access challenges from traditional HDF and NetCDF formats rather than cloud-optimized files, which a collaborative team—comprising NASA DAACs, Openscapes, OPeNDAP, and open source contributors—is addressing through DMR++ granule-level references and VirtualiZarr approaches using collection-level references. The successful workshop featured engaging collaborative discussion with hands-on Level-2 TEMPO experimentation that explored treating individual granules as virtual datasets via DMR++ reference files and identified opportunities for earthaccess improvements to simplify virtual datacube configuration.
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Based on participant feedback and observed engagement, future workshops will benefit from pre-workshop use-case surveys, extended duration for technical depth, tiered complexity examples, and structured breakout sessions to maximize learning outcomes and support users' transition to cloud-native data access approaches. Ideas for improving future such workshops:
2024

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- 1\. Enhanced Pre-Workshop Preparation
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