Releases: ecmwf-lab/climetlab-s2s-ai-challenge
Releases · ecmwf-lab/climetlab-s2s-ai-challenge
0.9.0
0.8.2
Adapted to climetlab version 0.10.*
releasing version 0.8.1
adapt to climetlab version 0.9.3
0.8.0
Adapt to climetlab version >=0.8.6
0.7.6
- observations are now regridded with
xesmf
method='conservative'
: https://renkulab.io/gitlab/aaron.spring/s2s-ai-challenge/-/issues/32 PLEASE DOWNLOAD OBSERVATIONS AGAIN. THE FORMER DATA WILL NOT BE USED IN THE S2S-AI-CHALLENGE. - observations with a dimension are now additionally available via
grid='720x360'
: https://renkulab.io/gitlab/aaron.spring/s2s-ai-challenge/-/issues/32 - fixed all
NaN
longitude=0 in observations: https://renkulab.io/gitlab/aaron.spring/s2s-ai-challenge/-/issues/35 - fixed all
NaN
maps after leap day: https://renkulab.io/gitlab/aaron.spring/s2s-ai-challenge/-/issues/31
0.7.1
0.7.0 didnt go to pypi, try new
0.7.0
- create
tp
andt2m
hindcast-like-observations
/forecast-like-observations
locally frompr
andt2m
observations
withclimetlab_s2s_ai_challenge.extra.forecast_like_observations
- data uploaded to EWC changed:
tp
variable fromtraining-output-reference
andtest-output-reference
now calculated withclimetlab_s2s_ai_challenge.extra.forecast_like_observations
. lead_time is now shifted one day. If you downloaded these datasets before, please clear/delete your cache folder and download new, see climetlab settings for how to manage cache and get threaded downloads. - restructuring of the README
0.6.7
Fixed values of lead_time in the benchmark datasets.
0.6.6
0.6.6
0.6.5
0.6.5