Published July 8, 2022
| Version v1
Dataset
Open
Interpretable Deep Learning for Probabilistic MJO Prediction: CNN Forecasts
Authors/Creators
- 1. University of Oxford
- 2. Ecole Polytechnique
Description
This repository contains data produced for the paper "Interpretable Deep Learning for Probabilistic MJO Prediction" by A. Delaunay and H. M. Christensen (2021).
>> mu_ens_XX.pt
contains the mean forecasts from each ensemble member at a lead time of XX days
>> cov_alea_XX.pt
contains the aleatoric predictions of each ensemble member at a lead time of XX days
Files
Files
(2.4 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:f0629ee9e4691bf382a3afdbf99b2167
|
24.4 kB | Download |
|
md5:71a5dd242111efca4bf0578fe7688490
|
24.4 kB | Download |
|
md5:23a9b3304d5d6315ac8002aa853edf58
|
24.4 kB | Download |
|
md5:0d054290e6edd98c743d1e72c0e80ec3
|
24.4 kB | Download |
|
md5:24ed7e2dab2c5e3f92bb4099b2f22583
|
24.4 kB | Download |
|
md5:a36b4f0b5b9ae01becc76177e3f8fe66
|
24.4 kB | Download |
|
md5:a17f826a1721b0462e19440383f3c3f5
|
24.4 kB | Download |
|
md5:4ec6a5697b8cab7aea7465d9d48fe4d6
|
24.4 kB | Download |
|
md5:93f6aeaddfc42329997ee6da41bd1308
|
24.4 kB | Download |
|
md5:f0f107830f3375641a5e0afffd26a0be
|
237.9 kB | Download |
|
md5:7dba108b8ab7a393819dbd49b13241e7
|
237.9 kB | Download |
|
md5:0f673df9a98d255d6f5f8998b3914b07
|
237.9 kB | Download |
|
md5:51ac398fa26d26ad1f0795479c6c2c15
|
237.9 kB | Download |
|
md5:0456cb0de1c9cb027274a895dc1df022
|
237.9 kB | Download |
|
md5:533eb3c56a6dc0f10741b57d1ce01d5e
|
237.9 kB | Download |
|
md5:2c715d744b68f2ed1997a4737b42a9e1
|
237.9 kB | Download |
|
md5:79bced65a8115e371db4c7267ff55dd7
|
237.7 kB | Download |
|
md5:a6228b5fe361bd8c6290af5a149b7032
|
237.9 kB | Download |
Additional details
Funding
- UK Research and Innovation
- Reliable Climate Projections: The Final Frontier for Stochastic Parametrisation NE/P018238/1