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Adding new Feature/pavd #91
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@angehung5 Thanks for the updated daily LAI in SE files. Can you remove the 'time' column from all updated txt files? canopy-app doesn't use the timestamp in txt files currently, and you can see the CI fails when trying to run .txt files. Also, can you update these .NC files here at the feature/pavd branch for new PAVD product too? |
Updating README for daily example files from AWS under Table 2.
Add pavd and daily LAI
…-app into feature/pavd
@angehung5 I changed the methods of how I am using the PAVD. Given its uncertainty, and relatively coarse vertical resolution from NAU (5 m), I think one way we can use it more consistently for now is to identify the observed PAVD height of maximum vegetation, and still apply the distributions from Massman (i.e., the standard deviations above/below the maximum) based on input vegetation type. Below is my single point test for the updated Lang FCH dataset and PAVD point profile example you provided: Foliage Distribution Based Height Maximum PAVD Based Vegetation Height Maximum You can see that even though we are limiting the PAVD application for now, it works much better, and the novel aspect is we are using the observed GEDI PAVD height of maximum foliage density to constrain the shape functions that are still applied. I would need to briefly test the gridded impacts with new Lang FCH as well, but what do you think? |
@angehung5 If you could provide a review of this as well, when you have the time. If OK, do you think we should add a sensitivity test to your paper for using the observed PAVD max from GEDI as well? You can see that it has an affect on the wind speed profile compared to default profile from Massman. Thanks! |
@angehung5 Can you please give this a review ASAP? |
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I changed the description of pavd_opt
in README since single point text files are available now.
@drnimbusrain A quick comparison of Massman shape function and GEDI PAVD. Seems the wind reduction based on PAVD is generally lower compared with Massman. The foliage vertical distribution is different as well, especially at Lower Teakettle, probably because PAVD values are actually averages over certain area (0.01 degree resol) and maybe affected by surrounding vegetations. It should also be noted that the vertical resolution of PAVD profile is much coarser. ![]() |
Thank you @angehung5 for doing the review and test! First, to clarify, I am only using the height of PAVD maximum from GEDI, and not the actual entire PAVD profile. So, the GEDI PAVD is used to only set the height of maximum foliage density and uses the vegtype set standard deviations above and below the maximum based on Massman, so it really is a hybrid approach right now. With the major issues of the gridded PAVD observations (coarse vertical res, inconsistencies with FCH we have right now from NAU, with no response back from them whatsoever, this is the best we have right now. Either way, using Massman, or hybrid PAVD/Massman approach has uncertainty in where the peak foliage density is set, but seems Massman approach is better right now. Thus, can you also plot the foliage profiles for the different methods for each site to see how they vary? I wonder how you are setting the PAVD for these plots. |
Some cleaning and testing needed, but eventually this draft PR will close #66 and add the ability of canopy-app to read 3D inputs of observed GEDI Plant Area Volume Density (PAVD) profiles for a user-set range of latitude and longitude bounds. Previously canopy-app could only be driven by prescribed plant shape distribution functions.
Note: The PAVD input data example file is based on preliminary GEDI gridded/raster data provided from Scott Goetz and Pat Burns of NAU. The following is needed to move this PR forward: