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Add notebook for the global reanalysis discovery #87

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@jsignell
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This notebook looks interesting, but I am wondering where it came from? Is there some other repository of notebooks that are referenced in VEDA discoveries?

@slesaad slesaad requested a review from jsignell July 25, 2023 16:25
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slesaad commented Jul 25, 2023

@jsignell one of the discoveries referenced this notebook, but the link was broken; so we thought this would be a good place to host it. I don't think there's any other repository for notebooks referenced in Discoveries.

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I guess my question is where did the content of this notebook come from?

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slesaad commented Jul 25, 2023

@jsignell @KathyNie probably created the content, she is one of the EIS scientists who worked on the discovery

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Ok! Just trying to get a sense of what all exists :) If it's ok with you @KathyNie I'll just update this to add a header for the veda-docs publishing tool

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@jsignell yes, feel free to update as you see fit. Thanks!

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Just a quick follow up question. This notebook references local data. Is that available somewhere on s3 or better yet is it indexed in a STAC catalog?

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I think the two datasets that are used to produce the two global maps are indexed in a STAC catalog:

  • id: lis-global-da-tws-trend
    stacCol: lis-global-da-tws-trend
    name: 'LIS DA TWS Trend'
    type: raster
    description: 'Trends in TWS from LIS data assimilation output'

  • id: lis-global-da-gpp-trend
    stacCol: lis-global-da-gpp-trend
    name: 'LIS DA GPP Trend'
    type: raster
    description: 'Trends in GPP from LIS data assimilation output'

The three time series datasets are not in a STAC catalog but are available in the veda-config GitHub under veda-config/discoveries:

  • SouthAsia_TWS_annual_data.csv
  • SouthAsia_GPP_annual_data.csv
  • SouthAsia_ET_annual_data.csv

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3 participants