I retrieved the 30-minute precipitation data for the China region in NetCDF (nc) format from the official website. Subsequently, I utilized Python code to extract the "precipitation" variable from the NetCDF data and convert it into GeoTIFF (tif) format. However, two issues have arisen:
1. While the data orientation appears correct when viewed in ArcMap, distortion occurs when the same data is opened in ENVI.
2. In an attempt to identify precipitation locations using GPM data through Python code, I used the previously generated GPM.tif file as input. Despite this, the resulting visualization exhibits a flipped orientation. Specifically, the precipitation area in the original image is concentrated in the lower-left and upper-right diagonal regions, whereas the generated visualization focuses on the upper-left and lower-right diagonal regions.
Upon further investigation, it was determined that the discrepancy arises due to a mismatch between the geographic reference information and the actual data content.
How can this be solved? I sincerely hope for your assistance. Thank you very much!
1. While the data orientation appears correct when viewed in ArcMap, distortion occurs when the same data is opened in ENVI.
2. In an attempt to identify precipitation locations using GPM data through Python code, I used the previously generated GPM.tif file as input. Despite this, the resulting visualization exhibits a flipped orientation. Specifically, the precipitation area in the original image is concentrated in the lower-left and upper-right diagonal regions, whereas the generated visualization focuses on the upper-left and lower-right diagonal regions.
Upon further investigation, it was determined that the discrepancy arises due to a mismatch between the geographic reference information and the actual data content.
How can this be solved? I sincerely hope for your assistance. Thank you very much!
Statistics: Posted by xvchang — Tue May 20, 2025 11:45 pm America/New_York