Hello everyone, I would appreciate you helping me with this question,
I am using remote sensing-based models to calculate ET actual. I want to use ERA-5 dataset as a meteorological dataset
I found that ERA-5 dataset has different pressure levels and provides (Relative humidity, Temperature, and Wind speed in u and v directions) but it doesn't provide shortwave solar radiation.
On the other hand, ERA5-Land provides (2m temperature, Surface solar radiation downwards, 10m u-component of wind, 10m v-component of wind) but doesn't provide relative humidity.
My question is:
- Which one is better to use ERA5 or ERA5-land?
if I used ERA-5 I would find two problems, the first is to identify the pressure level, and the second is to get the short-wave radiations.
and if I used the ERA-5-land I don't know how to get relative humidity.
- Also, can I use ERA5 for the relative humidity and the ERA5-land for all other parameters?
- Finally, what is the shortest way to get hourly data for certain days (20 days) for a specific location (E, N) as a CSV file
1- Which one is better to use ERA5 or ERA5-land?
2- if I used ERA-5 I would find two problems, the first is to identify the pressure level, and the second is to get the short-wave radiation. R: Surface pressure is about 1000 hPa. You can use the short-wave radiation from ERA5 -LAND closest point.
3-and if I used the ERA-5-land I don't know how to get relative humidity. R: You can compute RH according to this paper https://doi.org/10.1029/2022GL099740
4-Also, can I use ERA5 for the relative humidity and the ERA5-land for all other parameters? R: I don´t see any problem with this assumption.
5-Finally, what is the shortest way to get hourly data for certain days (20 days) for a specific location (E, N) as a CSV file. R: You can select the days you want: https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-land?tab=form
- To answer your first question, I would suggest that you could use both products. However, regarding your confusion about the missed variables in both products, you might overcome this by choosing the actual evapotranspiration method that suits each product.
- Reference to your second question, I do not see any problems, as you could use variables from different sources prior to estimating the actual evapotranspiration. At the end, it is your assumption, but you have to validate your assumption in case that you have observed data. Since ERA products are considered as reanalysis data (NOT observed or measured data).
- Regarding the third question, you could use API via creating an account and writing an API script. Using API is well documented by Copernicus website.
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