Comments (6)
Wicked. As step 1, can you make a PR which adds the model mean data for whatever scenarios are in there to the repo (model data is useless as its unlabelled)?
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What do the numbers in Table AI.1 in http://www.climatechange2013.org/images/report/WG1AR5_AnnexI_FINAL.pdf refer to?
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Doesn't
only one ensemble member from each model is selected, even if multiple realizations exist with different initial conditions and different realizations of natural variability. Hence each model is given equal weight.
mean, that this should be the number of the realisation?
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Closed by #29
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Related Issues (20)
- Automatic file namer HOT 1
- General cleanup HOT 2
- Cannot read ACCESS CMIP5 file HOT 2
- Land fraction should check bounds before running
- Logging refresh HOT 1
- v2.0
- Automatically write conda recipe HOT 1
- Fancy database checking HOT 1
- Guess land bounds if no sftlf HOT 1
- Netcdf format
- Parallel get_scm_timeseries_cubes HOT 2
- Optimise wrangling HOT 2
- Masking 2.0
- Move test nc files to lfs HOT 5
- thetao crunching HOT 1
- Keep effective areas in crunched metadata
- Units in wrangling
- Weights normalisation HOT 1
- convert_scmdf_to_tuningstruc: reverse dimensions of data HOT 1
- Migrate to GitLab HOT 1
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