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First 150 results for ” S Irons”

1. Impact of model resolution and ensemble size on the performance of an ensemble prediction system
   R Buizza, T Petroliagis, T Palmer, J Barkmeijer, M Hamrud, A Hollingsworth, A Simmons, N Wedi | Status: published | Journal: Quart. J. Royal Meteorol. Soc. | Year: 1998 | First page: 1935 | Last page: 1960

   Publication

2. Estimating tropospheric and stratospheric winds using infrasound from explosions

   The receiver-to-source backazimuth of atmospheric infrasound signals is biased when cross-winds a...

   EM Blixt, SP Näsholm, S Gibbons, LG Evers, AJ Charlton-Perez, YJ Orsolini, T Kvaerna | Status: published | Journal: J.A.S.A. | Volume: 146 | Year: 2019 | First page: 973 | Last page: 982 | doi: 10.1121/1.5120183

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3. A study on the ambient noise field at a hydroacoustic array near Robinson Crusoe Island

   Continuous long-term sound sources are recorded at hydroacoustic station H03S, a threeelement hyd...

   KAM Sambell, PSM Smets, DG Simons, M Snellen, LG Evers | Status: published | Journal: Geophys. J. Int. | Volume: 218 | Year: 2019 | First page: 88 | Last page: 99 | doi: https://doi.org/10.1093/gji/ggz124

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4. Fast simulators for satellite cloud optical centroid pressure retrievals; evaluation of OMI cloud retrievals

   The cloud Optical Centroid Pressure (OCP) is a satellite-derived parameter that is commonly used ...

   AP Joiner, AP Vasilkov, P Gupta, PK Bhartia, JP Veefkind, M Sneep, JF de Haan, I Polonsky, R Spurr | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 5 | Year: 2012 | First page: 529 | Last page: 545 | doi: 10.5194/amt-5-529-2012

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5. Deep Learning for Solar Irradiance Nowcasting: A Comparison of a Recurrent Neural Network and Two Traditional Methods

   This paper aims to improve short-term forecasting of clouds to accelerate the usability of solar ...

   Dennis Knol, Fons de Leeuw, Jan Fokke Meirink, Valeria V. Krzhizhanovskaya | Year: 2021

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