Closed raf-antwerpen closed 1 year ago
I am helping @raf-antwerpen with this recipe. The only thing I am not sure about is the authentication. It isn't in a public archive. It's on an ftp server which requires a login.
Update: we have the MAR netcdfs in a google bucket to get around the authentication issue mentioned above. See here for more details.
import gcsfs
import xarray as xr
import hvplot.xarray
gcs = gcsfs.GCSFileSystem()
url = 'gs://ldeo-glaciology/MAR/6.5km/MARv3.12-6_5km-daily-ERA5-2000.nc'
of = gcs.open(url, mode='rb')
ds = xr.open_dataset(of,chunks=-1)
options = dict(x='x', y='y', clim=(0.2, 1), width=500, height=700, cmap='greys_r')
ds.AL2.hvplot(**options). # this is the albdeo field
.
Dataset Name
MAR
Dataset URL
ftp.climato.be/fettweis/tmp/marco/
Description
This dataset contains daily Modèle Atmosphérique Régional (MAR) output over Greenland between 1950 and 2021 on 6.5km resolution. The output contains numerous meteorological and glaciological variables over the entire ice sheet that can benefit researchers that are working to understand processes governing ice melting on Greenland and everything that is associated with it.
License
MIT License
Data Format
NetCDF
Data Format (other)
No response
Access protocol
FTP
Source File Organization
72 NetCDF files, one for each year between 1950 and 2021. Each file contains output of all variables, formatted on the latlon grid of Greenland. Static variables such as latitude, longitude, surface height, soil type, etc. have only two dimensions representing latitude and longitude. Most variables have a third dimension representing time in days. Some other variables have a fourth dimension representing vertical layers.
Example URLs
Authorization
Username / Password
Transformation / Processing
The files should be concatenated along the time dimension, from 1 January 1950 to 31 December 2021. No cleaning necessary.
Target Format
Zarr
Comments
@jkingslake