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A Machine Learning‐Based Global Atmospheric Forecast Model
A Machine Learning‐Based Global Atmospheric Forecast Model
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A Machine Learning‐Based Global Atmospheric Forecast Model

Arcomano, Troy ; Szunyogh, Istvan ; Pathak, Jaideep ; Wikner, Alexander ; Hunt, Brian R. ; Ott, Edward

Geophysical research letters, 2020-05, Vol.47 (9), p.n/a [Peer Reviewed Journal]

Washington: John Wiley & Sons, Inc

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On-sky measurements of atmospheric dispersion – II. Atmospheric models characterization
On-sky measurements of atmospheric dispersion – II. Atmospheric models characterization
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On-sky measurements of atmospheric dispersion – II. Atmospheric models characterization

Wehbe, B ; Cabral, A ; Sbordone, L ; Ávila, G

Monthly notices of the Royal Astronomical Society, 2021-05, Vol.503 (3), p.3818-3827 [Peer Reviewed Journal]

Oxford University Press

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3
ERA‐20CM: a twentieth‐century atmospheric model ensemble
ERA‐20CM: a twentieth‐century atmospheric model ensemble
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ERA‐20CM: a twentieth‐century atmospheric model ensemble

Hersbach, Hans ; Peubey, Carole ; Simmons, Adrian ; Berrisford, Paul ; Poli, Paul ; Dee, Dick

Quarterly journal of the Royal Meteorological Society, 2015-07, Vol.141 (691), p.2350-2375 [Peer Reviewed Journal]

Chichester, UK: John Wiley & Sons, Ltd

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4
Atmospheric NLTE-models for the spectroscopic analysis of blue stars with winds : II. Line-blanketed models
Atmospheric NLTE-models for the spectroscopic analysis of blue stars with winds : II. Line-blanketed models
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Atmospheric NLTE-models for the spectroscopic analysis of blue stars with winds : II. Line-blanketed models

PULS, J ; URBANEJA, M. A ; VENERO, R ; REPOLUST, T ; SPRINGMANN, U ; JOKUTHY, A ; MOKIEM, M. R

Astronomy and astrophysics (Berlin), 2005-05, Vol.435 (2), p.669-698 [Peer Reviewed Journal]

Les Ulis: EDP Sciences

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5
Toward Transient Subgrid-Scale Gravity Wave Representation in Atmospheric Models. Part I: Propagation Model Including Nondissipative Wave–Mean-Flow Interactions
Toward Transient Subgrid-Scale Gravity Wave Representation in Atmospheric Models. Part I: Propagation Model Including Nondissipative Wave–Mean-Flow Interactions
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Toward Transient Subgrid-Scale Gravity Wave Representation in Atmospheric Models. Part I: Propagation Model Including Nondissipative Wave–Mean-Flow Interactions

Bölöni, Gergely ; Kim, Young-Ha ; Borchert, Sebastian ; Achatz, Ulrich

Journal of the atmospheric sciences, 2021-04, Vol.78 (4), p.1317-1338 [Peer Reviewed Journal]

Boston: American Meteorological Society

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6
Atmospheric NLTE models for the spectroscopic analysis of blue stars with winds: IV. Porosity in physical and velocity space
Atmospheric NLTE models for the spectroscopic analysis of blue stars with winds: IV. Porosity in physical and velocity space
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Atmospheric NLTE models for the spectroscopic analysis of blue stars with winds: IV. Porosity in physical and velocity space

Sundqvist, J. O. ; Puls, J.

Astronomy and astrophysics (Berlin), 2018-11, Vol.619, p.A59 [Peer Reviewed Journal]

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7
An atmospheric radiation model for Cerro Paranal: I. The optical spectral range
An atmospheric radiation model for Cerro Paranal: I. The optical spectral range
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An atmospheric radiation model for Cerro Paranal: I. The optical spectral range

Noll, S. ; Kausch, W. ; Barden, M. ; Jones, A. M. ; Szyszka, C. ; Kimeswenger, S. ; Vinther, J.

Astronomy and astrophysics (Berlin), 2012-07, Vol.543, p.A92 [Peer Reviewed Journal]

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8
Implicit–explicit (IMEX) Runge–Kutta methods for non-hydrostatic atmospheric models
Implicit–explicit (IMEX) Runge–Kutta methods for non-hydrostatic atmospheric models
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Implicit–explicit (IMEX) Runge–Kutta methods for non-hydrostatic atmospheric models

Gardner, David J ; Guerra, Jorge E ; Hamon, François P ; Reynolds, Daniel R ; Ullrich, Paul A ; Woodward, Carol S

Geoscientific Model Development, 2018-04, Vol.11 (4), p.1497-1515 [Peer Reviewed Journal]

Katlenburg-Lindau: Copernicus GmbH

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9
Center-to-limb observations of the Sun with ALMA: Implications for solar atmospheric models
Center-to-limb observations of the Sun with ALMA: Implications for solar atmospheric models
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Center-to-limb observations of the Sun with ALMA: Implications for solar atmospheric models

Alissandrakis, C. E. ; Patsourakos, S. ; Nindos, A. ; Bastian, T. S.

Astronomy and astrophysics (Berlin), 2017-09, Vol.605, p.A78 [Peer Reviewed Journal]

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10
Temperature and precipitation extremes in century‐long gridded observations, reanalyses, and atmospheric model simulations
Temperature and precipitation extremes in century‐long gridded observations, reanalyses, and atmospheric model simulations
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Temperature and precipitation extremes in century‐long gridded observations, reanalyses, and atmospheric model simulations

Donat, Markus G. ; Alexander, Lisa V. ; Herold, Nicholas ; Dittus, Andrea J.

Journal of geophysical research. Atmospheres, 2016-10, Vol.121 (19), p.11,174-11,189 [Peer Reviewed Journal]

Washington: Blackwell Publishing Ltd

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