This repository contains codes and sample notebooks for downloading and processing the SSH mapping data challenge. The goal is to investigate how to best reconstruct sequences of Sea Surface Height (SSH) maps from partial satellite altimetry observations. This data challenge follows an Observation System Simulation Experiment framework: "Real" full SSH are from a numerical simulation with a realistic, high-resolution ocean circulation model: the reference simulation. Satellite observations are simulated by sampling the reference simulation based on realistic orbits of past, existing or future altimetry satellites. A baseline reconstruction method is provided (see below) and the practical goal of the challenge is to beat this baseline according to scores also described below and in Jupyter notebooks. The structure of this data challenge was to a large extent inspired by WeatherBench.

This challenge is part of the BOOST-SWOT project funded by ANR (project number ANR-17- CE01-0009-01) and a contribution to the MIDAS project funded by CNES for the NASA/CNES SWOT Science Team

{"references": ["Florian Le Guillou et al., 2020, Mapping altimetry in the forthcoming SWOT era by back-and-forth nudging a one layer quasi-geostrophic model, in rev. for Jtech,"]}