angehung5
commented
9 months ago Yes, I have tested the updated script and it worked fine. And no, we don't need to update the python README. I just changed the filenames (from YYMM01 to YYMMDD) and added pavd.
From: Patrick Campbell @.> Sent: Monday, October 16, 2023 8:36 PM To: noaa-oar-arl/canopy-app @.> Cc: Wei-Ting Hung @.>; Mention @.> Subject: Re: [noaa-oar-arl/canopy-app] Add pavd and daily LAI (PR #95)
@drnimbusrain approved this pull request.
I assumed you tested these updates to the global data process script and it gives expected daily LAI and new PAVD products. Also seems like no updates are necessary for the python README for the updated script?
In README.mdhttps://github.com/noaa-oar-arl/canopy-app/pull/95#discussion_r1361380625:
@@ -150,10 +150,11 @@ The Canopy-App input data in [Table 2](#table-2-canopy-app-required-input-variab |
hpbl| Height of the planetary boundary layer (m) | UFS NOAA/GFSv16 | |prate_ave| Average mass precipitation rate (kg m-2 s-1) | UFS NOAA/GFSv16 | | External Canopy Variables | Variable Description and Units | Data Source/Reference (if necessary) | -|fh| Forest canopy height (m) | Fused GEDI/Landsat data. Data Period=2020. (Potapov et al., 2020) | -|clu| Forest clumping index (dimensionless) | GriddingMachine/MODIS. Data Period=2001-2017 Climatology. (Wei et al., 2019). Extended globally for high latitudes using methods described here. | -|lai| Leaf area index (m2/m2) | VIIRS-NPP. Data Period=2018-2020 Climatology. (Myneni 2018). Extended globally for high latitudes using methods described here. | -|ffrac| Forest fraction (dimensionless) | Based on VIIRS GVF-NPP and GriddingMachine/MODIS FFRAC/FVC from Terra. Data Period=2020. (DiMiceli et al., 2022). Extended globally for high latitudes using methods described here. | +|fh| Forest canopy height (m) | Fused GEDI/Landsat data. Data Period=2020. Data frequency=Annual. (Potapov et al., 2020) | +|clu| Forest clumping index (dimensionless) | GriddingMachine/MODIS. Data Period=2001-2017 Climatology. Data frequency=Monthly. (Wei et al., 2019). Extended globally for high latitudes using methods described here. | +|lai| Leaf area index (m2/m2) | VIIRS-NPP. Data Period=2020. Data frquency=Daily, interpolated from original 8-day product. (Myneni 2018). Extended globally for high latitudes using methods described here. |
⬇️ Suggested change
-| lai | Leaf area index (m2/m2) | VIIRS-NPP. Data Period=2020. Data frquency=Daily, interpolated from original 8-day product. (Myneni 2018). Extended globally for high latitudes using methods described here. |
+| lai | Leaf area index (m2/m2) | VIIRS-NPP. Data Period=2020. Data frequency=Daily, interpolated from original 8-day product. (Myneni 2018). Extended globally for high latitudes using methods described here. |
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Update global canopy python script to get new daily files on AWS. Update Table 2 in README by adding pavd and data time frequency.