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Basic doubts #94
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Here's my answers to your questions: No, all input variables must be in the same file. There are example codes to preprocess Tb and precipitation data for IMERG. Specifically, this script combines the regridded Tb (matching the IMERG grid) with the IMERG data into single files. 2. In the demo data, you provided half-hourly data, but you used date-time-resolution: 1.0 # [hour]. Does this mean you considered the data as hourly? The half hourly data is for Tb. The 30min IMERG data has been averaged to hourly in the script above. If you don’t want to do that, you can modify the script and not average the IMERG precipitation and retain the half hourly data. In developing our global MCS dataset (Section 2.1), we used one of the 30 min Tb snapshots for identifying cloud systems (set in the example config_imerg_mcs_tbpf_example.yml) but use the hourly mean IMERG precipitation data to mitigate issues with IMERG temporal discontinuities (Rajagopal et al. 2023). 3. The land and sea mask data (e.g., IMERG_landmask_saag.nc) typically uses a standard masking convention, where values are zero for the ocean and one for land. However, when I plotted your file, it showed a value of 100 over the ocean and different values over the land. Could you clarify this discrepancy? The land mask file is from the IMERG dataset, where they use 100% as water and 0% as land, and a fraction in between for partial water/land. |
Dear Sir,
Thank you, |
Hi Sree, If you want to adjust the MCS duration thresholds, you can change these two parameters in the config file (e.g., config_imerg_mcs_tbpf_example.yml):
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Dear Sir,
I successfully installed PyFLEXTRKR on my system, and the demo run was successful with the data you provided. However, I am now trying to run it for another region for April 2023. I have downloaded the precipitation and brightness temperature (Tb) data for April 2023. I merged the entire month's precipitation files, which are half-hourly, into a single file, and did the same for Tb in another file. My question is:
Thank you.
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