10.5281/zenodo.4045400
https://zenodo.org/records/4045400
oai:zenodo.org:4045400
Maxime Ballarotta
Maxime Ballarotta
Collecte Localisation Satellites (CLS)
Emmanuel Cosme
Emmanuel Cosme
0000-0001-7349-6973
Institut des Géosciences de l'Environnement
Aurélie Albert
Aurélie Albert
0000-0001-7783-5629
Ocean Next
ocean-data-challenges/2020a_SSH_mapping_NATL60: Material for SSH mapping data challenge
Zenodo
2020
data challenge
ocean
altimetry
Julien Le Sommer
Julien Le Sommer
0000-0002-6882-2938
CNRS, IGE
Florian Le Guillou
Florian Le Guillou
IGE
Adekunle Ajayi
Adekunle Ajayi
Sammy Metref
Sammy Metref
IGE
Redouane Lguensat
Redouane Lguensat
0000-0003-0226-9057
Clément Ubelmann
Clément Ubelmann
Ocean Next
Yannice Faugere
Yannice Faugere
Collecte Localisation Satellites (CLS)
2020-09-23
https://github.com/ocean-data-challenges/2020a_SSH_mapping_NATL60/tree/v1
10.5281/zenodo.4045399
v1
Creative Commons Attribution 4.0 International
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