I have a question, I am running the SWY model and I have been checking the output files, but somehow I do not get any tif-file for L_[Suffix].tif (type: raster; units: mm, but should be interpreted as relative values, not absolute): Map of local recharge $$ values. Just for the other local recharge maps, as avail or sum. As far as I understood, the L_suffix values are the actual recharge for each pixel that was calculated by the software, so I would be most interested in having these results. Am I missing sth or how can I get these tiffiles?
It’s strange that you’re not getting L_[Suffix].tif. Is the model completing successfully, or are there any errors in the log file? If there’s anything suspect in the log file, please post it here - thanks.
Thanks for the log file Anne. There’s a lot of debug stuff in there, but i don’t see anything obviously wrong. Are there any other outputs missing? (like baseflow, the watershed gpkg, etc).
I was going to ask if you’d provide your datastack to run, but it takes 5.5 hours, so you’re probably modeling a large area and/or fine resolution. Would it be possible to test it on a smaller sub-watershed that runs much faster and see if the same thing happens?
I have run the same area and input files with another resolution, this only takes a couple of minutes, but the same output is generated. I think the other outputs are all there, I am not missing something else. Should I provide you with the other files? Attached you can find the log file from the other run.
Interesting. Yes, please do provide me the rest of your data.Here is a post with instructions for creating a datastack in InVEST that gives me everything i need in a .tgz file. You’ll probably need to upload it somewhere and make sure that it’s viewable, then send me the link. Thanks!
Hi @as1252,
The local recharge raster is located at intermediate_outputs/l_aligned_[suffix].tif. I’ll update the user guide to indicate that it’s called l_aligned, not L.
Thank you very much for the clarification! Another question occured to me now: If i give the local recharge as an input layer, I will not get a GF-tiffle as an output, is that correct?
If you provide the local recharge input layer, you will still get intermediate_outputs/l_aligned_[suffix].tif. It will be a copy of your input that has been aligned to match the other input layers.