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This could be the dimension issue: The variables are given in the (time, lon, lat) format. Typically, most datasets follow the (time, lat, lon) structure. After taking the transpose, it should work. We have this FAQ: https://disc.gsfc.nasa.gov/information/faqs?keywords=imerg%20orienation&title=H...

To convert this (mm/hr) to accumulated precipitation (like millimeters per month, mm/month), you need to multiply the hourly rate by the number of hours in the desired period. For example, to convert mm/hr to mm/month, you would multiply by the number of days in the month and then by 24 (hours per d...

Hi Rishi, With the exception of data stored in the cloud, we have a limit of 15 concurrent connections from the same IP. Try slowing down your requests or avoid launching too many requests at the same time. There are tools you can use to handle timeouts and failed connections. For example, when usin...

We were able to reproduce your issues and found a solution to get what you need. Please follow these steps: 1) Go to the data product’s OPeNDAP site where you can subset the data file and download it as a NetCDF4 (.nc4) file: https://gpm1.gesdisc.eosdis.nasa.gov/opendap/GPM_L2/GPM_2ADPR.07/contents....

Screenshot 2024-11-26 at 12.47.36 PM.png Hi, here is a new version of the code I wrote that uses Xarray to read in the data. The problem is that this is a big file, so it probably exceeds your capacitylimit, as it did for me. I wrote in "chunking" as well as limited the variables to readi...

This can be done in IDL, MatLab, and Python, if the commercial ArcPRO is not available.

We have a FAQ for this,

https://disc.gsfc.nasa.gov/information/faqs?keywords=geotiff&title=How%20do%20I%20convert%20a%20NetCDF%20or%20HDF%20to%20GeoTIFF%3F

We see no problems with "GES DISC:https://gpm1.gesdisc.eosdis.nasa.gov/data/GPM_L2/GPM_2ADPR.07/2024/324/2A.GPM.DPR.V9-20240130.20241119-S210218-E223531.060914.V07C.HDF5" and variable "//FS/CSF/flagShallowRain" - This variable converts to a raster without issues in Panoply and ID...

Question 1) Is it normal for the downloading process to take a significant amount of time for this volume of data? Answer: Yes, it is. This file is about 600 MB in each granule. Thus, the request for daily data from 2019 to the 2013 is enormous. It is about 1 TB of data for 5-year data! Question 2) ...

Both IMERG Early and Late have the complete range of dates (06/01/2000 to present) now.