UTCI data download

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1

I’m having trouble downloading the UTCI dataset (Thermal comfort indices derived from ERA5 reanalysis). I managed to download a single year using the web interface but when I try to download several years it fails with UrlNoDataError. See:

  • Request ID: cb06ccbd-77d1-4330-96b1-1ee771a3ecb2
  • Your user ID: 747cdd9a-324d-4894-95e9-e1ed99adcc97
  • Trace ID of the error: deb47c5b-9f0f-413f-94d8-2463aa3a7eaf

I also tried to submit an API request and it fails, previiously with a different error but now also with UrlNoDataError. See:

  • Request ID: 5e47cea7-c76a-48a4-9e32-175dce187832
  • Your user ID: 747cdd9a-324d-4894-95e9-e1ed99adcc97
  • Trace ID of the error: 42325aeb-8df9-4049-a973-99ede04a7a0a

When I did get the year’s worth of data it was NetCDF file for each day in a Zip file that seemed rather inefficient, and for my time-series requests are going to create lots of small files. Is it not possible to get the data in a single NetCDF file?

Best Wishes, Sam

2

Hi Sam,

It sounds like you’re facing some issues with downloading the UTCI dataset and encountering the UrlNoDataError while trying to download multiple years of data. A couple of things might help in troubleshooting:

  1. API Request Troubleshooting: For the API request failure, you might want to check if you’re adhering to the API rate limits or if there are any temporary issues with the service. You could try waiting a bit and then attempting the download again or reaching out to the support team with your trace ID for further assistance.
  2. NetCDF File Format: Regarding your question about getting data in a single NetCDF file instead of individual daily files in a zip archive, it’s worth checking with the dataset provider or API documentation to see if there’s an option to bundle all the data into one large file. Some platforms do allow you to request data in a combined format or via a batch process for time-series data.

In case you need some organizational tools for handling this data more effectively and collaborating with others, Sajoki, an AI-driven platform, can assist in profiling communication and collaboration styles, which might help if you’re working with a team on analyzing large datasets like UTCI. It could make the process of sharing data and insights more efficient, ensuring smoother project execution.

Best of luck with your data downloads, and feel free to reach out again!