Can deep learning beat numerical weather prediction? [PDF]
Philos Trans A Math Phys Eng Sci, 2021 The recent hype about artificial intelligence has sparked renewed interest in applying the successful deep learning (DL) methods for image recognition, speech recognition, robotics, strategic games and other application areas to the field of meteorology.
Schultz MG +7 more
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Energy and Numerical Weather Prediction [PDF]
Tellus A: Dynamic Meteorology and Oceanography, 1960 Since the study of energy transformations and the numerical integration of simplifiied equations are sometimes used as alternative approaches to the same physical problem, it is often desirable that the simplified equations conserve total energy under reversible adiabatic processes.
Edward N. Lorenz
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The birth of numerical weather prediction [PDF]
Tellus A: Dynamic Meteorology and Oceanography, 1991 The paper describes the major events leading gradually to operational, numerical, short-range predictions for the large-scale atmospheric flow. The theoretical foundation starting with Rossby's studies of the linearized, barotropic equation and ending a decade and a half later with the general formulation of the quasi-geostrophic, baroclinic model by ...
A. Wiin‐Nielsen
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Numerical Weather Prediction [PDF]
Annual Review of Fluid Mechanics, 1995 This review highlights a number of current areas of emphasis in research and operational numerical weather prediction. Detailed accounts of each area of activity are not presented; some key references are provided within each section for interested readers who may wish to explore further. The review outlines the types of weather prediction models where
Eugenia Kalnay
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Assessing probabilistic modelling for wind speed from numerical weather prediction model and observation in the Arctic. [PDF]
Sci Rep, 2021 Chen H +4 more
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Numerical Weather Prediction in New Zealand [PDF]
Monthly Weather Review, 1977 Abstract The main problem in weather forecasting over New Zealand and the Southern Oceans is the lack of sufficient data for good analyses, especially at upper levels. Numerical weather prediction also suffers from this problem, but it can to some degree be alleviated by producing several prognoses from reasonable alternative analyses to alert the ...
Kevin E. Trenberth, Alex A. Neale
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Mean radiant temperature from global-scale numerical weather prediction models. [PDF]
Int J Biometeorol, 2020 Di Napoli C, Hogan RJ, Pappenberger F.
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On the impact of humidity observations in numerical weather prediction [PDF]
Tellus A, 2005 The impact of humidity observations on forecast skill is explored by producing a series of global forecasts using initial data derived from the ERA-40 reanalyses system, in which all humidity data have been removed during the data assimilation. The new forecasts have been compared with the original ERA-40 analyses and forecasts made from them.
Lennart Bengtsson, Kevin I. Hodges
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Simulating the Urban Heat Island Augmented with a Heat Wave Episode Using ICTP RegCM4.7 in a Mega-Urban Structure of Karachi, Pakistan [PDF]
Journal of Soft Computing in Civil Engineering, 2021 The metropolis of Karachi, with a density of around 4000 persons/km2 at present, is going through unprecedented urbanization and population growth, which can augment Urban Heat Island (UHI) triggered heat wave impacts on life and living.
Burhan Ahmad +4 more
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Spin-up characteristics with three types of initial fields and the restart effects on forecast accuracy in the GRAPES global forecast system [PDF]
Geoscientific Model Development, 2021 The spin-up refers to the dynamic and thermal adjustments made at the initial stage of numerical integration in order to reach a statistical equilibrium state.
Z. Ma +17 more
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