The IFS model: A parallel production weather code

Barros, S. B. M.; Dent, D.; Isaksen, Lars; Robinson, Guy; Mozdzynski, George; Wollenweber, Fritz G.

doi:10.1016/0167-8191(96)80002-0

Cited by 50 publications

(36 citation statements)

References 7 publications

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“…Spectral models, although amenable to very efficient implementations on parallel and vector computers (eg. [3]), present the potential drawback of the higher computational complexity associated with Legendre transforms.…”

Section: Model Performancementioning

confidence: 99%

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A global finite-difference semi-Lagrangian model for the adiabatic primitive equations

Barros

Garcia

2007

Journal of Computational Physics

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Section: Model Performancementioning

confidence: 99%

“…1 For the discretization of the thermodynamic equation we need an expression for _ r. We integrate the continuity equation (3) in order to get:…”

Section: Time Discretizationmentioning

confidence: 99%

A global finite-difference semi-Lagrangian model for the adiabatic primitive equations

Barros

Garcia

2007

Journal of Computational Physics

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“…The product resolution is 0.125 Â 0.125 degrees in latitude-longitude grid. A comprehensive overview of the ECMWF IFS model is accumulated in Gregory et al [8], Barros et al [3], and referred therein.…”

Section: Ecmwf Analysis Datamentioning

confidence: 99%

Reduced major axis approach for correcting GPM/GMI radiometric biases to coincide with radiative transfer simulation

Islam

Srivastava

Petropoulos

et al. 2016

Journal of Quantitative Spectroscopy and Radiative Transfer

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Correcting radiometric biases is crucial prior to the use of satellite observations in a physically based retrieval or data assimilation system. This study proposes an algorithm ? RARMA (Radiometric Adjustment using Reduced Major Axis) for correcting the radiometric biases so that the observed radiances coincide with the simulation of a radiative transfer model. The RARMA algorithm is a static bias correction algorithm, which is developed using the reduced major axis (RMA) regression approach. NOAA?s Community Radiative Transfer Model (CRTM) has been used as the basis of radiative transfer simulation for adjusting the observed radiometric biases. The algorithm is experimented and applied to the recently launched Global Precipitation Measurement (GPM) mission?s GPM Microwave Imager (GMI). Experimental results demonstrate that radiometric biases are apparent in the GMI instrument. The RARMA algorithm has been able to correct such radiometric biases and a significant reduction of observation residuals is revealed while assessing the performance of the algorithm. The experiment is currently tested on clear scenes and over the ocean surface, where, surface emissivity is relatively easier to model, with the help of a microwave emissivity model (FASTEM-5). Document embargo 04/09/2016.authorsversionPeer reviewe

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“…3 The generalised pressure ϕ depends on the Exner pressure π ≡ (p/p 0 ) R d /cp , where R d is the gas constant for dry air. Throughout the paper primes denote perturbations with respect to the ambient state; e.g., π = π − π a , θ = θ − θ a , and so forth.…”

Section: Governing Equationsmentioning

confidence: 99%

“…Recognising the predictive skills of the existing NWP legacy codes, we seek to mitigate their shortcomings by supplying a complementary nonhydrostatic module with capabilities of cloud-resolving models. The first step towards this paradigm is the development of a global finite-volume nonhydrostatic module capable of working on the reduced Gaussian grid of the Integrated Forecast System (IFS) of the ECMWF [3,40,44].…”

Section: Introductionmentioning

confidence: 99%