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A guide to the Nedwam wave model
Nedwam is a numerical model for making North Sea wave forecasts. The Nedwam software is a KNMI pr...
G Burgers | Year: 1990
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CLEAN beamforming for the enhanced detection of multiple infrasonic sources
The detection and characterization of signals of interest in the presence of (in)coherent ambient...
OFC den Ouden, JD Assink, PSM Smets, G Averbuch, S Shani Kadmiel, LG Evers | Status: published | Journal: Geophys. J. Int. | Volume: 221 | Year: 2020 | First page: 305 | Last page: 317 | doi: 10.1093/gji/ggaa010
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Comparing Area Probability Forecasts of (Extreme) Local Precipitation Using Parametric and Machine Learning Statistical Postprocessing Methods
Probabilistic forecasts, which communicate forecast uncertainties, enable users to make better we...
KRP Whan, MJ Schmeits | Status: published | Journal: Mon. Wea. Rev. | Volume: 146 | Year: 2018 | First page: 3651 | Last page: 3673 | doi: 10.1175/MWR-D-17-0290.1
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Meteorological Source Variability in Atmospheric Gravity Wave Parameters Derived From a Tropical Infrasound Station
Gravity waves are an important part of the momentum budget of the atmosphere. Despite this, param...
GJ Marlton, AJ Charlton-Perez, RG Harrison, Blanc, LG Evers, A Le-Pichon, PSM Smets | Status: published | Journal: J. Geophys. Res. | Volume: 124 | Year: 2019 | First page: 4352 | Last page: 4364 | doi: https://doi.org/10.1029/2018JD029372
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The Cloud_cci simulator v1.0 for the Cloud_cci climate data record and its application to a global and a regional climate model
The Cloud Climate Change Initiative (Cloud_cci) satellite simulator has been developed to enable ...
S Eliasson, KG Karlsson, E van Meijgaard, JF Meirink, M Stengel, U Willen | Status: published | Journal: Geoscientific Model Development | Volume: 12 | Year: 2019 | First page: 829 | Last page: 847 | doi: 10.5194/gmd-12-829-2019
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