Meteorology

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Frédéric Fabry - One of the best experts on this subject based on the ideXlab platform.

  • radar Meteorology principles and practice
    2015
    Co-Authors: Frédéric Fabry
    Abstract:

    Preface List of symbols List of acronyms 1. Meteorology and radar 2. Fundamentals of weather radar measurements 3. Radar reflectivity and products 4. Reflectivity patterns 5. Doppler velocity information 6. The added value of dual-polarization 7. Convective storm surveillance 8. Monitoring widespread systems 9. Radar estimation of precipitation 10. Nowcasting 11. Additional radar measurements and retrievals 12. Cloud and spaceborne radars 13. What does radar really measure? Appendix A. Mathematics and statistics of radar Meteorology References Index.

  • Radar Meteorology: Principles and Practice - Radar Meteorology : principles and practice
    2015
    Co-Authors: Frédéric Fabry
    Abstract:

    Preface List of symbols List of acronyms 1. Meteorology and radar 2. Fundamentals of weather radar measurements 3. Radar reflectivity and products 4. Reflectivity patterns 5. Doppler velocity information 6. The added value of dual-polarization 7. Convective storm surveillance 8. Monitoring widespread systems 9. Radar estimation of precipitation 10. Nowcasting 11. Additional radar measurements and retrievals 12. Cloud and spaceborne radars 13. What does radar really measure? Appendix A. Mathematics and statistics of radar Meteorology References Index.

Helmut P. Frank - One of the best experts on this subject based on the ideXlab platform.

  • Wind power Meteorology. Part I: climate and turbulence
    Wind Energy, 1998
    Co-Authors: Erik L Petersen, Lars Landberg, Jùrgen Hùjstrup, Niels Gylling Mortensen, Jørgen Højstrup, Helmut P. Frank
    Abstract:

    Wind power Meteorology has evolved as an applied science firmly founded on boundary layer Meteorology but with strong links to climatology and geography. It concerns itself with three main areas: siting of wind turbines, regional wind resource assessment and short-term prediction of the wind resource. The history, status and perspectives of wind power Meteorology are presented, with emphasis on physical considerations and on its practical application. Following a global view of the wind resource, the elements of boundary layer Meteorology which are most important for wind energy are reviewed: wind profiles and shear, turbulence and gust, and extreme winds. 1998 John Wiley & Sons, Ltd.

V. N. Krupchatnikov - One of the best experts on this subject based on the ideXlab platform.

Oriol Jorba - One of the best experts on this subject based on the ideXlab platform.

  • Online coupled regional Meteorology chemistry models in Europe: current status and prospects
    Atmospheric Chemistry and Physics, 2014
    Co-Authors: Dominik Brunner, Jeb FLEMMING, Georg Grell, S. T. Rao, Efisio Solazzo, Alberto Maurizi, Elisabetta Vignati, George Tsegas, Ranjeet S Sokhi, Oriol Jorba
    Abstract:

    Abstract. Online coupled mesoscale Meteorology atmospheric chemistry models have undergone a rapid evolution in recent years. Although mainly developed by the air quality modelling community, these models are also of interest for numerical weather prediction and regional climate modelling as they can consider not only the effects of Meteorology on air quality, but also the potentially important effects of atmospheric composition on weather. Two ways of online coupling can be distinguished: online integrated and online access coupling. Online integrated models simulate Meteorology and chemistry over the same grid in one model using one main time step for integration. Online access models use independent Meteorology and chemistry modules that might even have different grids, but exchange Meteorology and chemistry data on a regular and frequent basis. This article offers a comprehensive review of the current research status of online coupled Meteorology and atmospheric chemistry modelling within Europe. Eighteen regional online coupled models developed or being used in Europe are described and compared. Topics discussed include a survey of processes relevant to the interactions between atmospheric physics, dynamics and composition; a brief overview of existing online mesoscale models and European model developments; an analysis on how feedback processes are treated in these models; numerical issues associated with coupled models; and several case studies and model performance evaluation methods. Finally, this article highlights selected scientific issues and emerging challenges that require proper consideration to improve the reliability and usability of these models for the three scientific communities: air quality, numerical Meteorology modelling (including weather prediction) and climate modelling. This review will be of particular interest to model developers and users in all three fields as it presents a synthesis of scientific progress and provides recommendations for future research directions and priorities in the development, application and evaluation of online coupled models.

C. S. Ramage - One of the best experts on this subject based on the ideXlab platform.

  • Forecasting in Meteorology
    Bulletin of the American Meteorological Society, 1993
    Co-Authors: C. S. Ramage
    Abstract:

    Abstract Public weather forecasting heralded the beginning of modern Meteorology less than 150 years ago. Since then, Meteorology has been largely a forecasting discipline. Thus, forecasting could have easily been used to test and develop hypotheses, consequently enhancing the potential of the scientific method to increase knowledge of Meteorology. The outcome has proved to be rather different. In the day-to-day operations of meteorological services, the constant stream of predictions (some of which are wrong) should quickly demolish or modify doubtful hypotheses. In fact, feedback between prediction and hypothesis is rare. In research, forecasting is value neutral—a wrong forecast may contribute as much to understanding as a right forecast. Routine public weather forecasting is an end in itself and is not value noutral—a right forecast is much more valuable than a wrong forecast. Despite the flood of data from satellites and radar, forecasts barely improved. This suggested shortcomings in our understandi...