Reader for Арктика-М (Arktika-M) МСУ-ГС (MSU-GS) data

[gerritholl]

Feature Request

Is your feature request related to a problem? Please describe.

I would like to read data from the МСУ-ГС (MSU-GS) imager on the Арктика-М № 1 (Arktika-M № 1) satellite (and subsequent satellites in the Арктика-М series).

Describe the solution you'd like

I would like a reader for МСУ-ГС data included with Satpy.

Describe any changes to existing user workflow

None foreseen.

Additional context

On 2022-01-28, EUMETSAT published sample data for Арктика-М № 1 on their FTP site at ftp://ftp.eumetsat.int/pub/EUM/out/RSO/Arctica-MN1/. The Арктика satellites were launched by Роскосмос (Roskosmos) and are operated by Росгидромет (Rosgidromet). They fly in a Molniya orbit with a perigee over the Arctic region. When the constellation is complete, this will allow for a 24 hour near real time monitoring of the Arctic, similar to how the ring of geostationary satellites provides this functionality for lower latitudes. The main instrument is the МСУ-ГС imager, which is apparently similar to the ones on the Электро-Л (Elektro-L) satellites, for which Satpy already has a reader. Some more information about МСУ-ГС is available from WMO.

[TAlonglong]

Great. No documentation as far as I can see.

This is HDF5 and I guess the other reader mentioned in the issue is HRIT. So I guess we need to start over.

But the format looks like straight forward HDF5.

As far as I can see data comes with lat/lon values. Can not see any projection information.

[TAlonglong]

Just I quick look at the data:

import h5py
from matplotlib import pyplot as plt
import numpy as np
hf = h5py.File('ArcticaM1_202201171330.h5', 'r')
km1=dt.get("/Data/resolution_1km")
plt.imshow(np.dstack([(km1['Radiance_03'][:]*km1['Radiance_03'].attrs['scale']*255/10).astype(int), (km1['Radiance_02'][:]*km1['Radiance_02'].attrs['scale']*255/10).astype(int), (km1['Radiance_01'][:]*km1['Radiance_01'].attrs['scale']*255/10).astype(int)]))
plt.show()

[TAlonglong]

You can assign this to me of not someone else want/can spare the time to look at this.