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Questions - era5

Principal Component analysis with netcdf data

I would like to run PCA for different variables from ERA5. I have 4 different variables, 30 years of hourly data and longitude, latitude. How should I transform the data to run PCA?
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les2004

r

dataframe

pca

netcdf

era5

Votes: 0

Answers: 0

pack/compress netcdf data ("add offset" and "scale factor") with CDO, NCO or similar

I have heavy netCDF files with floating 64-bits precision. I would like to pack using specific values for the add_offset and scale_factor parameters (so then I could transform to short I16 precision)....
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Diego Hernandez

netcdf

cdo-climate

nco

era5

Votes: 0

Answers: 2

Latest Answer

NCO will automatically pack with optimal values for scale_factor and add_offset with, e.g., ncpdq -P in.nc out.nc and you can add lossless compression as well with ncpdq -P -L 1 -7 in.nc out.nc Docu...
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Charlie Zender

How to remove a "redundant" dimension with CDO (climate data operators)?

The ERA5 climate dataset is, in general, defined as a [lat, lon, time] matrix. Except for recent data, where it adds the exp_ver variable that indicate if the data is provisory (recent data, up to 3 m...
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Diego Hernandez

netcdf

cdo-climate

nco

era5

Votes: 0

Answers: 1

Latest Answer

Can you use ncwa to average over and remove the dimension in step two and then use merge time? cdo splitlevel # as you were suggesting ncwa -a exp_ver v1.nc v1rd.nc ncwa -a exp_ver v5.nc v5rd.nc cd...
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ClimateUnboxed

I am trying to download ERA5 reanalysis data(global)from python code but it shows data is too large

I want to download ERA5 reanalysis hourly data for global (from 1950 to 2022). I am trying to download by using python code from cdsapi. I am just trying to download only for 5 years (in each year onl...
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haritha

python

era5

Votes: 0

Answers: 1

Latest Answer

You need to break up the retrieval into smaller chunks, for example by looping over the months, and having one file per month. To see how to do this, I have a youtube video on my channel precisely on...
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ClimateUnboxed

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