数值预测研究对数值天气预测的贡献

IF 1.6 4区地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES

Atmosphere-Ocean Pub Date : 2022-01-01 DOI:10.1080/07055900.2022.2038071

Hal Ritchie, Stéphane Bélair, Natacha B. Bernier, Mark Buehner, M. Charron, Vincent Fortin, L. Garand, Pieter Houtekamer, Syed Husain, Stéphane Laroche, Jean-François. Lemieux, H. Lin, Ron McTaggart-Cowan, Jason Milbrandt, H. Mitchell, P. Pellerin, Janusz Pudykiewicz, Leo Separovic, Gregory C. Smith, M. Tanguay, Paul A. Vaillancourt

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引用次数: 0

摘要

摘要：这是《大气与海洋》杂志邀请的一篇综述文章，旨在记录Recherche en Prévision Numérique（RPN）对数值天气预报（NWP）的贡献。它是一篇历史综述，记录了RPN对数值方法、数值建模、数据同化和系综系统的贡献，并展望了未来潜在的系统。通过这篇综述，我们强调了RPN贡献的演变。我们从早期的NWP工作开始，一直到具有广泛应用的环境预测。这篇综述旨在成为一个有益的参考，巩固事态发展，并为加拿大未来的NWP工作产生更广泛的兴趣。

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Recherche en Prévision Numérique Contributions to Numerical Weather Prediction

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.

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来源期刊

Atmosphere-Ocean 地学-海洋学

CiteScore

2.50

自引率

16.70%

发文量

审稿时长

>12 weeks

期刊介绍： Atmosphere-Ocean is the principal scientific journal of the Canadian Meteorological and Oceanographic Society (CMOS). It contains results of original research, survey articles, notes and comments on published papers in all fields of the atmospheric, oceanographic and hydrological sciences. Arctic, coastal and mid- to high-latitude regions are areas of particular interest. Applied or fundamental research contributions in English or French on the following topics are welcomed: climate and climatology; observation technology, remote sensing; forecasting, modelling, numerical methods; physics, dynamics, chemistry, biogeochemistry; boundary layers, pollution, aerosols; circulation, cloud physics, hydrology, air-sea interactions; waves, ice, energy exchange and related environmental topics.