Created
April 15, 2019 06:58
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Poor man's correlation between two 3D arrays in R
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| library(ncdf4) | |
| # files are 229x161x8760 | |
| FILE_1 = nc_open('/emhires-data/data-warehouse/gridded/ERA5/era5-hourly-100m_v_component_of_wind-2018.europe.nc') | |
| FILE_2 = nc_open('/emhires-data/data-warehouse/gridded/ERA5/era5-hourly-10m_v_component_of_wind-2018.europe.nc') | |
| lat = ncvar_get(FILE_1, 'latitude') | |
| lon = ncvar_get(FILE_1, 'longitude') | |
| data_1 = ncvar_get(FILE_1, 'v100') # 2.5 GB in memory | |
| data_2 = ncvar_get(FILE_2, 'v10') | |
| nc_close(FILE_1) | |
| nc_close(FILE_2) | |
| cor_value = matrix(NA, ncol = length(lat), nrow = length(lon)) | |
| pb = txtProgressBar(max = length(lon), style = 3) | |
| for (i in seq(1, length(lon))) { | |
| setTxtProgressBar(pb, i) | |
| for (j in seq(1, length(lat))) { | |
| cor_value[i,j] = cor(data_1[i,j,], data_2[i,j,]) | |
| } | |
| } | |
| close(pb) |
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