Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

A software to extract time series from historical magnetograms

Domaine:

climate

Type de record:

papersoftware
Créateur:
CoïGarLesHeu
Éditeur:
InsUAR
Éditeur:
CCSD
Hôte:avatar
International audience or nearly a century, magnetogram have been recorded on paper sheets. Numerical valueswere collected into tables, usually with a sampling of one hour. Today, most of these tableshave been digitised and disseminated through national or international data services.A large collection of photographic paper magnetograms, covering globally an entire centuryis preserved in the archives of Chambon-la-forêt magnetic observatory, France. It containsmagnetograms from the Mascart and La Cour magnetometer, and from several otherobservatories in France, Africa and Polynesia.In order to access additional information on the magnetic variations recorded on themagnetograms, we developed a recovering software: RECOV. It is based on MATLAB and canbe run either as a MATLAB App, or as a standalone desktop application, with MATLABRuntime. It provides an interface for manual selection of magnetic traces that are convertedinto magnetic variations and calibrated time series, if definitive hourly time series areavailable. The user can recover magnetograms of different quality, even cases when themagnetic traces cross the temporal axis, or wrap-around traces appear during the strongeststorms. We aim obtaining recovered time-series with sampling every minute, with a reliabilitydepending on the size and resolution of magnetic traces. We present this software and someexamples of the obtained time series.

Visit

hal.science

Tags

[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]

Licenses

https://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/OpenAccess

Similaires

The PRIMAP-hist national historical emissions time series (1750-2023) v2.6.1Cholera surveillance time series in Africa from 2010 to 2023Forecasting Regional Inequality from Time Series Models to Artificial Intelligence-Based FrameworksA series of PPR experimental infections to estimate exposure time to the virusInsurance Penetration and Manufacturing Sector Growth: A Time Series Evidence from NigeriaA Compilation of Water Surface Elevation Time Series from Global Lake Gauges

The PRIMAP-hist national historical emissions time series (1750-2023) v2.6.1

Recommended citation

Gütschow, J.; Bus

Cholera surveillance time series in Africa from 2010 to 2023

Background: Cholera remains a significant public health challenge in Africa, where outbreaks routine

Forecasting Regional Inequality from Time Series Models to Artificial Intelligence-Based Frameworks

This research investigates the performance of the traditional econometric models against the advance

A series of PPR experimental infections to estimate exposure time to the virus

A series of PPR experimental infections were conducted to estimate the exposure time, i‧e. the minim

Insurance Penetration and Manufacturing Sector Growth: A Time Series Evidence from Nigeria

This study examined insurance penetration and manufacturing sector growth in Nigeria. Time series da

A Compilation of Water Surface Elevation Time Series from Global Lake Gauges

Contacts: Mélanie Trudel (melanie.trudel@usherbrooke.ca), Jida Wan