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Add note to README about IceFlow not working
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README.md

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@@ -25,6 +25,15 @@ Originally presented during the 2019 AGU Fall Meeting, this tutorial demonstrate
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### [IceFlow](./notebooks/iceflow)
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> [!CAUTION]
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> The IceFlow notebooks and supporting code have some known problems and users
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> should exercise caution. It is likely that users will run into errors while
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> interacting with the notebooks. Requests for ITRF transformations are not
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> currently working as expected. We recommend users look at the `corrections`
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> notebook for information about how to apply ITRF transformations to data
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> themselves. IceFlow is currently under maintenence, and we hope to resolve
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> some of these issues soon.
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**Harmonized data for pre-IceBridge, ICESat and IceBridge data sets.**
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These Jupyter notebooks are interactive documents to teach students and researchers interested in cryospheric sciences how to access and work with airborne altimetry and related data sets from NASA’s [IceBridge](https://www.nasa.gov/mission_pages/icebridge/index.html) mission, and satellite altimetry data from [ICESat](https://icesat.gsfc.nasa.gov/icesat/) and [ICESat-2](https://icesat-2.gsfc.nasa.gov/) missions using the NSIDC **IceFlow API**
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notebooks/iceflow/README.md

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# IceFlow Point Cloud Data Access
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> [!CAUTION]
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> The IceFlow notebooks and supporting code have some known problems and users
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> should exercise caution. It is likely that users will run into errors while
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> interacting with the notebooks. Requests for ITRF transformations are not
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> currently working as expected. We recommend users look at the `corrections`
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> notebook for information about how to apply ITRF transformations to data
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> themselves. IceFlow is currently under maintenence, and we hope to resolve
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> some of these issues soon.
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## Summary
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The IceFlow python library simplifies accessing and combining data from several of NASA's cryospheric altimetry missions, including ICESat/GLAS, Operation IceBridge, and ICESat-2. In particular, IceFlow harmonizes the various file formats and georeferencing parameters across several of the missions' data sets, allowing you to analyze data across the multi-decadal time series.

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