DC1: Emulation of Global Ocean Reanalyses

DC1 is an open benchmark for emulating global ocean reanalyses at the surface level. Participants submit 10-day global surface emulations (0.25 deg grid) and are evaluated against independent satellite and in situ observations.

Challenge period: 2024-01-01 to 2025-01-01.

Required variables:

  • zos (sea surface height)

  • thetao (sea surface temperature)

  • so (sea surface salinity)

  • uo (surface eastward current)

  • vo (surface northward current)

All evaluation in DC1 is surface-only.

Scientific context

Task definition, variables, evaluation schedule, baseline.

Task description
Data

Reference datasets and practical data notes.

Data
Metrics

RMSD-based metrics used by the evaluation pipeline.

Metrics
Submissions

Input layouts, validation, and run commands.

Submissions

Quick start

# 1) Install (example: conda + pip)
git clone https://github.com/ppr-ocean-ia/dc1-emulating-global-ocean.git
cd dc1-emulating-global-ocean
conda create --name dc1 python=3.11
conda activate dc1
conda install -c conda-forge esmf esmpy
python -m pip install -U pip
python -m pip install -e .
python -m pip install "dctools @ git+https://github.com/ocean-ai-data-challenges/dc-tools.git"

# 2) Validate
python -m dc1.submit validate /path/to/my_model --model-name my_model

# 3) Run full pipeline
python -m dc1.submit run /path/to/my_model --model-name my_model --data-directory ./dc1_output

For Docker and EDITO options, see Quickstart.

Getting started

DC1 Challenge

API Reference