Huvudinnehåll

Martin Raspaud

Updated

Published

PhD and Research leader.

Porträtt på Martin Raspaud.

Martin Raspaud

Fields of work

Software engineer for Satellite reception and applications

Special competence

Initiator and active core developer of the Pytroll project

Pytroll – international code collaboration for satellite applications External link.

Latest publications

The State of Earth Observing System Today

Justin Shenolikar, Paolo M. Ruti, Daniel Lee, Sreerekha Thonipparambil, Roope Tervo, Federico Fierli, Estelle Obligis, Alessandra Cacciari, Martin Raspaud, Veronique Bouchet, Xavier Abellan, Tony Mcnally, Kotaro Bessho, Sid Boukabara, Luca Brocca, Silvia Puca, Nadia Pinardi, Joerg Schulz, Joachim Saalmueller, Bojan Bojkov

In: Bulletin of The American Meteorological Society - (BAMS), Vol. 106, No. 2

2025

DOI: 10.1175/BAMS-D-23-0261.1

Climate and Forecast Conventions version 1.12

Lars Bärring, Martin Raspaud

2024

This document describes the CF conventions for climate and forecast metadata designed to promotethe processing and sharing of files created with the netCDF Application Programmer Interface[NetCDF]. The conventions define metadata that provide a definitive description of what the data ineach variable represents, and of the spatial and temporal properties of the data. This enables usersof data from different sources to decide which quantities are comparable, and facilitates buildingapplications with powerful extraction, regridding, and display capabilities.The CF conventions generalize and extend the COARDS conventions [COARDS]. The extensionsinclude metadata that provides a precise definition of each variable via specification of a standardname, describes the vertical locations corresponding to dimensionless vertical coordinate values,and provides the spatial coordinates of non-rectilinear gridded data. Since climate and forecastdata are often not simply representative of points in space/time, other extensions provide for thedescription of coordinate intervals, multidimensional cells and climatological time coordinates, andindicate how a data value is representative of an interval or cell. This standard also relaxes theCOARDS constraints on dimension order and specifies methods for reducing the size of datasets.

NetCDF Climate and Forecast (CF) Metadata Conventions

Lars Bärring, Martin Raspaud

2023

This document describes the CF conventions for climate and forecast metadata designed to promotethe processing and sharing of files created with the netCDF Application Programmer Interface[NetCDF]. The conventions define metadata that provide a definitive description of what the data ineach variable represents, and of the spatial and temporal properties of the data. This enables usersof data from different sources to decide which quantities are comparable, and facilitates buildingapplications with powerful extraction, regridding, and display capabilities.The CF conventions generalize and extend the COARDS conventions [COARDS]. The extensionsinclude metadata that provides a precise definition of each variable via specification of a standardname, describes the vertical locations corresponding to dimensionless vertical coordinate values,and provides the spatial coordinates of non-rectilinear gridded data. Since climate and forecastdata are often not simply representative of points in space/time, other extensions provide for thedescription of coordinate intervals, multidimensional cells and climatological time coordinates, andindicate how a data value is representative of an interval or cell. This standard also relaxes theCOARDS constraints on dimension order and specifies methods for reducing the size of datasets.