CliMA/OceanParameterizations.jl

Machine learning (and uncertainty quantification?) of climate model parameterizations using differentiable (and probabilistic?) programming.

JuliaMIT

Issues

Change RegularCartesianGrid to RegularRectilinearGrid
#47 opened 3 years ago by xkykai
1
Useful modeling tools: Field abstraction, staggered grid functionality
#38 opened 4 years ago by glwagner
6
@info exception with Flux.jl training neural nets
#23 opened 4 years ago by adelinehillier
2
Change `master` branch name to `main`
#30 opened 4 years ago by ali-ramadhan
1
Use DataDeps.jl to depend on LESbrary.jl data
#25 opened 4 years ago by ali-ramadhan
1
Decide on what's part of OceanParameterizations.jl and what should be in a script
#26 opened 4 years ago by ali-ramadhan
1
Very long package precompile times
#24 opened 4 years ago by ali-ramadhan
0
Should this be OceanParameterizations or ClimateParameterizations?
#14 opened 4 years ago by glwagner
3
Doing all training/work with buoyancy instead of temperature?
#15 opened 4 years ago by ali-ramadhan
4
Change repository name to ClimateParameterizations.jl?
#10 opened 4 years ago by ali-ramadhan
2
Add feature to train on predicting next n time steps
#1 opened 4 years ago by ali-ramadhan
1
Gaussian process packages
#2 opened 4 years ago by ali-ramadhan
0