ERA5- optimal variable

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Suat COŞKUN

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Feb 28, 2024, 2:31:15 PMFeb 28

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In nowadays, I am trying to apply trophospeheric correction to my HyP3 datasets using Jupyter notebooks. Many times I have used GACOS, and it works well. Actually, I wonder which parameters we should choose for optimal results? (Especially variable and pressure levels)

This is my request:

ERA5 hourly data on pressure levels from 1940 to present

Product type:

Reanalysis

Variable:

Geopotential, Relative humidity, Temperature

Pressure level:

450 hPa

Year:

2022, 2023, 2024

Month:

January, February, March, April, May, June, July, August, September, October, November, December

Day:

01, 02, 03, 04, 05, 06, 07, 08, 09, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31

Time:

03:00, 04:00, 05:00

Sub-region extraction:

North 40.18°, West 28.06°, South 39.3°, East 31.05°

Format:

GRIB

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