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Published March 27, 2025 | Version v1.0.0

Models and samples for ML emulators of Met Office UK CPM

  • 1. ROR icon University of Bristol
  • 2. ROR icon Met Office
  • 3. ROR icon Nvidia (United Kingdom)

Description

Contains model weights and samples for emulators  of the Met Office's UK CPM

  • a diffusion-model-based emulator (CPMGEM, workdirs/score-sde/subvpsde/ukcp_local_pr_12em_cncsnpp_continuous/bham-4x_12em_pSTV) and a variant using less data (workdirs/score-sde/subvpsde/ukcp_local_pr_1em_cncsnpp_continuous/bham-4x_1em_pSTV_lowdata)
  • a deterministic U-Net emulator (workdirs/score-sde/deterministic/ukcp_local_pr_12em_plain_unet/bham_pSTV-ema-gradcl-256-batch)

Also included are samples of bilinear interpolation of coarsned rainfall, used for comparison (workdirs/id-linpr).

For each model, samples can be found in samples/<CHECKPOINT_ID>/<DATASET>/<XFM_ID>/<SPLIT>/<ENSEMBLE_MEMBER>. e.g. in workdirs/score-sde/subvpsde/ukcp_local_pr_12em_cncsnpp_continuous/bham-4x_12em_pSTV there are folders like samples/epoch_20/bham64_gcm-4x_12em_psl-sphum4th-temp4th-vort4th_pr-historic/bham64_gcm-4x_12em_psl-sphum4th-temp4th-vort4th_pr-pixelmmsstan/test/13

For each model, checkpoints directory holds snapshots of model weights from training.

Samples and models were created using code from https://github.com/henryaddison/mlde (in particular, .

Files

Files (34.9 GB)

Name Size
md5:70b1909016ba6037b2ab4356b5fbcfe1
34.9 GB Download

Additional details

Funding

UK Research and Innovation
UKRI Centre for Doctoral Training in Interactive Artificial Intelligence EP/S022937/1