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Development of the KNMI Operational Data Center
KNMI provides weather, climate and seismological datasets to a varied group of customers. The num...
WJ Som de Cerff, F van der Wel, J van de Vegte, IA van der Neut, M van der Hoeven | Conference: 11th EC-GI&GIS Workshop, ESDI Setting the Framework | Organisation: Institute for Environment and Sustainability (IES) | Place: Alghero, Sardinia | First page: 38 | Last page: 41
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The influence of wall permeability on turbulent channel flow
Direct Numerical Simulations (DNS) have been performed of turbulent flow in a plane channel with ...
WP Breugem, BJ Boersma, RE Uittenbogaard | Status: published | Journal: J. Fluid Mech. | Volume: 562 | Year: 2006 | First page: 35 | Last page: 72 | doi: 10.1017/S0022112006000887
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An empirical model for probabilistic decadal prediction: global attribution and regional hindcasts
Empirical models, designed to predict surface variables over seasons to decades ahead, provide us...
EB Suckling, GJ van Oldenborgh, JM Eden, E Hawkins | Status: published | Journal: Clim. Dyn. | Year: 2016 | doi: 10.1007/s00382-016-3255-8
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The dual-field-of-view polarization lidar technique: a new concept in monitoring aerosol effects in liquid-water clouds – case studies
Abstract. In a companion article (Jimenez et al., 2020), we introduced a new lidar method to deri...
C Jimenez, A Ansmann, R Engelmann, D Donovan, A Malinka, P Seifert, R Wiesen, M Radenz, Z Yin, J Buhl, J Schmidt, B Barja, U Wandinger | Status: published | Journal: Atm. Chem. Phys. | Volume: 20 | Year: 2020 | First page: 15265 | Last page: 15284 | doi: https://doi.org/10.5194/acp-20-15265-2020
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Can we explain the observed methane variability after the Mount Pinatubo eruption?
The CH4 growth rate in the atmosphere showed large variations after the Pinatubo eruption in June...
N Bândă, M Krol, M van Weele, T van Noije, P Le Sager, T Röckmann | Status: published | Journal: Atmos. Chem. Phys. | Volume: 16 | Year: 2016 | First page: 195 | Last page: 214 | doi: 10.5194/acp-16-195-2016
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