ScholarLens Back to search
2022•ATMOSPHERE-OCEANOpen access

Recherche en Prévision Numérique Contributions to Numerical Weather Prediction

Hal Ritchie, Stéphane Bélair, Natacha B. Bernier, Mark Buehner, Martin Charron, Vincent Fortin, Louis Garand, P. L. Houtekamer, Syed Zahid Husain, Stéphane Laroche, Jean‐François Lemieux, Hai Lin, Ron McTaggart‐Cowan, Jason A. Milbrandt, Herschel L. Mitchell, P. Pellerin, Janusz A. Pudykiewicz, Leo Šeparović, G. C. Moore Smith, Monique Tanguay, Paul Vaillancourt

Open full text 4 citations

Abstract

This is a review article invited by Atmosphere-Ocean to document the contributions of Recherche en Prévision Numérique (RPN) to Numerical Weather Prediction (NWP). It is structured as a historical review and documents RPN’s contributions to numerical methods, numerical modelling, data assimilation, and ensemble systems, with a look ahead to potential future systems. Through this review, we highlight the evolution of RPN’s contributions. We begin with early NWP efforts and continue through to environmental predictions with a broad range of applications. This synthesis is intended to be a helpful reference, consolidating developments and generating broader interest for future work on NWP in Canada.

Open-access reader

About this research paper

What this paper is about

This is a review article invited by Atmosphere-Ocean to document the contributions of Recherche en Prévision Numérique (RPN) to Numerical Weather Prediction (NWP). It is structured as a historical review and documents RPN’s contributions to numerical methods, numerical modelling, data assimilation, and ensemble systems, with a look ahead to potential future systems. Through this review, we highlight the evolution of RPN’s contributions. We begin with early NWP efforts and continue through to environmental predictions with a broad range of applications. This synthesis is intended to be a helpful reference, consolidating developments and generating broader interest for future work on NWP in Canada.

Why it matters

OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

This is a review article invited by Atmosphere-Ocean to document the contributions of Recherche en Prévision Numérique (RPN) to Numerical Weather Prediction (NWP). It is structured as a historical review and documents RPN’s contributions to numerical methods, numerical modelling, data assimilation, and ensemble systems, with a look ahead to potential future systems. Through this review, we highlight the evolution of RPN’s contributions. We begin with early NWP efforts and continue through to environmental predictions with a broad range of applications. This synthesis is intended to be a helpful reference, consolidating developments and generating broader interest for future work on NWP in Canada.

Key concepts: Numerical weather prediction, Data assimilation, Weather prediction, Meteorology, Computer science, North American Mesoscale Model, Numerical models, Range (aeronautics)

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Recherche en Prévision Numérique Contributions to Numerical Weather Prediction — Research Paper | ScholarLens