Error loading CMIP5 data

Hi,

I am trying to load the following data:

import cdstoolbox as ct

@ct.application(title='Download data')
@ct.output.download()
def download_application():
data = ct.catalogue.retrieve(
'sis-ecv-cmip5-bias-corrected',
{
'model': 'noresm1_m',
'variable': 'precipitation_flux',
'experiment': 'rcp_8_5',
'period': '20060101-20551231',
}
)
return data

I am getting the error:

numpy.core._exceptions._ArrayMemoryError: Unable to allocate 17.6 GiB for an array with shape (18262, 360, 720) and data type >f4
'}

Is there something I can do about this?

Kind regards,

Sophie