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ERA5-HRES Model Humidity Data Displaying as Zero — Seeking Insights and Clarification on Model Naming #47

Closed chengshenlian closed 6 months ago

chengshenlian commented 6 months ago

Issue Summary: While analyzing meteorological data with the GraphCast_operational - ERA5-HRES 1979-2021 model, I encountered an issue with the humidity data displaying as zero. The model has a resolution of 0.25, covers 13 pressure levels, and utilizes a 2to6 mesh grid system, focusing its output on major surface variables such as temperature, humidity, wind speed, wind direction, and mean sea level pressure.

Detailed Description: Global historical meteorological data was obtained through the cds api, and after inference using the model, it generated a 6.5GB grib file. When examining these data with NASA's Panoply software, all variables except for humidity displayed normally. Puzzlingly, the humidity values were uniformly shown as zero, which is significantly different from what was expected.

As a non-professional individual deeply interested in the analysis of meteorological data, I am concerned that there might be a misunderstanding in my interpretation of the data or an unknown issue encountered during the data processing.

Therefore, I urgently require assistance from professionals to explain why the humidity data is abnormally displaying as zero, and whether this suggests an error in the model's output or the data conversion process.

Additionally, I am curious about the model naming "mesh2 to 6" and "precipitation output only.npz". Does this imply that the model is primarily used for predicting precipitation? I wish to learn more about the background of the model's naming and design focus.

Attachments:

Screenshot of humidity data observed in Panoply software Download link for Panoply Software: https://www.giss.nasa.gov/tools/panoply/download/ Download link for the grib(6.5GB) data file : https://drive.google.com/file/d/1yVgTWT1DJNewRepib4qkOLbBz0HGIARY/view?usp=drive_link I would greatly appreciate it if professionals or those knowledgeable in this area could provide answers and assistance. Thank you!

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chengshenlian commented 6 months ago

It's an issue of data precision.