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nasa / LHASA

Landslide Hazard Analysis for Situational Awareness
https://software.nasa.gov/software/GSC-17452-1
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No ref_data/token.txt file? #20

Open agmunozs opened 10 months ago

agmunozs commented 10 months ago

Hi,

I'm trying to run the pfdf model but it complains of not having a token.txt file.

Any advice?

Output: python pfdf/scripts/model_run.py --path pfdf Opening basin data Opened basin data Downloading FIRMS Traceback (most recent call last): File "/Volumes/Models/LNDSLIDES/Sibila_lndslides_v1/pfdf/scripts/model_run.py", line 358, in workflow(bbox) File "/Volumes/Models/LNDSLIDES/Sibila_lndslides_v1/pfdf/scripts/model_run.py", line 88, in workflow firms_request.download_firms( File "/Volumes/Models/LNDSLIDES/Sibila_lndslides_v1/pfdf/scripts/firms_request.py", line 24, in download_firms with open(token_path) as f: ^^^^^^^^^^^^^^^^ FileNotFoundError: [Errno 2] No such file or directory: 'pfdf/ref_data/token.txt'

thomasastanley commented 10 months ago

the incomplete answer is that you need to create this to store your credentials. @eorland can you document this in pfdf/README.md?

eorland commented 10 months ago

@thomasastanley Yes I can. @agmunozs we once had the tutorial for the token set up in the old README which still needs to be updated (my fault). Downloading any data from FIRMS programmatically requires a token associated with your EarthData account. This is thankfully a very easy step. All instructions for creating a token are at this link: https://nrt4.modaps.eosdis.nasa.gov/help/downloads. Skip down to the section titled "Download Tokens". Once generated, create a generic file called token.txt, in the ref_data directory.

Edit: Please note that you will also need to supply authentication credentials to access HLS imagery for burn severity mapping. The instructions for which are located in make_netrc.py.

eorland commented 10 months ago

Let us know if you still have issues.

agmunozs commented 10 months ago

Hi, both,

Thanks a lot. I wasn’t able to come back to this issue until today.

Now it advances, but got another error:

python pfdf/scripts/model_run.py --path pfdf Opening basin data Opened basin data Downloading FIRMS FIRMS downloaded

No run data file found! The data from this run will be saved to a new file.

...more stuff… and then what it might be interesting to solve the problem:

snpp_df = pd.concat([read_function(file,bbox) for file in snpp_paths[-date_range:]],ignore_index=True)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/opt/homebrew/anaconda3/envs/lhasa/lib/python3.11/site-packages/pandas/core/reshape/concat.py", line 380, in concat op = _Concatenator( ^^^^^^^^^^^^^^ File "/opt/homebrew/anaconda3/envs/lhasa/lib/python3.11/site-packages/pandas/core/reshape/concat.py", line 443, in init objs, keys = self._clean_keys_and_objs(objs, keys) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/anaconda3/envs/lhasa/lib/python3.11/site-packages/pandas/core/reshape/concat.py", line 505, in _clean_keys_and_objs raise ValueError("No objects to concatenate”)

Any suggestions?

Thanks,

Ángel G. Muñoz, PhD (he/him)

Senior Researcher | Ramón y Cajal Fellow Co-Leader - Horizon Europe Climateurope2 Project https://climateurope2.eu/Leader - Climate Services Team (CST) Earth System Services https://ess.bsc.es/ Group | Earth Sciences Department Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) Address: C/ Jordi Girona, 31, 08034 Barcelona, Spain | Torre Girona, 2nd Floor Personal Website: Ángel G. Muñoz site https://www.bsc.es/munoz-solorzano-angel-garikoitzEmail: @.*** Twitter: @agmunozs https://twitter.com/agmunozs?lang=es

On 18 Jan 2024, at 17:03, eorland @.***> wrote:

Let us know if you still have issues.

— Reply to this email directly, view it on GitHub https://github.com/nasa/LHASA/issues/20#issuecomment-1898769224, or unsubscribe https://github.com/notifications/unsubscribe-auth/AGRZTBSDZ2V2QVKUPDRH3YLYPFBV5AVCNFSM6AAAAABCAN44MOVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTQOJYG43DSMRSGQ. You are receiving this because you were mentioned.

thomasastanley commented 10 months ago

No run data file found! The data from this run will be saved to a new file.

This part just means it got to that point in the script for the first time. It's actually good news.

agmunozs commented 10 months ago

Thanks, Thomas.

Right, yes. I saw the code and thought the same, but then I have no idea about the next part…

Also, this might not be the best place to talk about it, but I wanted to know if there’s already a way for the landslide model (not the pfdf one) to point to reading local files rather than downloading/opendaping recent forecasts. This can be useful for predictability analysis for more than 2 days during the hindcast period and, in my particular interest, to explore forcing the model with subseasonal predictions (if you’re interested in a collaboration, let me know). —yes, I know I’d need the p99 values coming from the subseasonal models for the calibration/normalisation in lhasav2, but I’m not worried about that.

Cheers,

Ángel G. Muñoz, PhD (he/him)

Senior Researcher | Ramón y Cajal Fellow Co-Leader - Horizon Europe Climateurope2 Project https://climateurope2.eu/Leader - Climate Services Team (CST) Earth System Services https://ess.bsc.es/ Group | Earth Sciences Department Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) Address: C/ Jordi Girona, 31, 08034 Barcelona, Spain | Torre Girona, 2nd Floor Personal Website: Ángel G. Muñoz site https://www.bsc.es/munoz-solorzano-angel-garikoitzEmail: @.*** Twitter: @agmunozs https://twitter.com/agmunozs?lang=es

On 22 Jan 2024, at 16:28, Thomas Stanley @.***> wrote:

No run data file found! The data from this run will be saved to a new file.

This part just means it got to that point in the script for the first time. It's actually good news.

— Reply to this email directly, view it on GitHub https://github.com/nasa/LHASA/issues/20#issuecomment-1904244679, or unsubscribe https://github.com/notifications/unsubscribe-auth/AGRZTBRN4RNS3ZFYA7D7SCTYP2ARFAVCNFSM6AAAAABCAN44MOVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTSMBUGI2DINRXHE. You are receiving this because you were mentioned.

thomasastanley commented 10 months ago

Also, this might not be the best place to talk about it, but I wanted to know if there’s already a way for the landslide model (not the pfdf one) to point to reading local files rather than downloading/opendaping recent forecasts. This can be useful for predictability analysis for more than 2 days during the hindcast period and, in my particular interest, to explore forcing the model with subseasonal predictions (if you’re interested in a collaboration, let me know). —yes, I know I’d need the p99 values coming from the subseasonal models for the calibration/normalisation in lhasav2, but I’m not worried about that.

  1. Sure, please make a feature request in a new issue to document what you're looking for. Unfortunately, it may be a while before I can do it myself, but maybe the community will jump on it.
  2. You can always modify the code yourself to do your own project with your own data. Of course, validation would be up to you at that point.
  3. I would be interested in collaborating on that, especially if your background is on the subseasonal forecasting side. Send me an email and we can discuss.