Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Unclear incidence of NA values in SPEI calculation #60

Open
Strossi opened this issue May 2, 2023 · 0 comments
Open

Unclear incidence of NA values in SPEI calculation #60

Strossi opened this issue May 2, 2023 · 0 comments

Comments

@Strossi
Copy link

Strossi commented May 2, 2023

Hi,
I am using this nice function to calculate future drought occurence globally.
I computed the waterbalance using thorntwaite PET from tas deducted from precipitation data.

However, some locations on the planet, in the future stages (e.g. 2100, nlyr = 1572), are NA

I have done some analysis of some of these locations passing the waterbalance timeseries into the spei computation:
e.g. for waterbalance layer 1501:1572 (2095 Jan-2100 Dec) we have values (in mm/month):
27.952274 21.689123 14.123683 17.460701 15.812398 37.006592 -66.429031 -259.123688 -220.037247 -97.774490 16.421326 19.157841 8.140391 9.198980 10.007673 6.265563 16.597578 29.495974 -100.427887 -332.850922 -331.282867 -96.347923 22.364281 9.272121 11.917697 23.926107 16.230862 27.928892 9.588178 19.053209 5.622412 -274.853882 -356.673981 -155.222855 -15.708746 17.407471 23.696455 25.058372 8.793851 14.453787 22.954494 18.429659 -32.144138 -337.259491 -323.165253 -114.420425 -12.792349 22.798891 12.963151 21.595062 14.063710 37.609177 16.736898 20.830385 -152.715103 -376.798645 -339.518524 -124.014435 -15.229343 11.399895 11.069696 11.272403 2.432789 15.543382 5.513311 3.631964 20.173397 -59.663048 -119.842651 -238.099121 -6.724354 17.916309 23.279354

Passing it into SPEI spei(data = wb_ts[1501:1572], scale = 3, na.rm = F, verbose = F)

  • No NAs or Inf values.

Passing wb_ts[1524:1572] or +1524 starts returning non-finite values.

However, what is critical is that when the entire gcm + historical reference is passed to SPEI, some of the values are again NA, even if they are not NA in subsets (1501:1572 e.g.).

Would love to understand why this occurs.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant