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Trends and trend reversal detection in 2 decades of tropospheric NO2 satellite observations
In this work, a ∼21-year global dataset from four different satellite sensors with a mid-morning ...
AK Georgoulias, RJ van der A, P Stammes, KF Boersma, HJ Eskes | Status: published | Journal: Atm. Chem. Phys. | Volume: 19 | Year: 2019 | First page: 6269 | Last page: 6294 | doi: https://doi.org/10.5194/acp-19-6269-2019
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Rainfall-induced attenuation correction for two operational dual-polarization C-band radars in the Netherlands
The Royal Netherlands Meteorological Institute (KNMI) operates two operational dual-polarization ...
A Overeem, H de Vries, H Al Sakka, R Uijlenhoet, H Leijnse | Status: published | Journal: J. Atm. Oceanic Technol. | Volume: 38 | Year: 2021 | First page: 1125 | Last page: 1142 | doi: 10.1175/JTECH-D-20-0113.1
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Evaluationofthreemainstreamnumericalweatherprediction modelswithobservationsfrommeteorological mastIJmuidenattheNorthSea
Numerical weather prediction models play an important role in the field of wind energy, for examp...
PC Kalverla, GJ Steeneveld, RJ Ronda, AAM Holtslag | Status: published | Journal: Wind Energy | Year: 2018 | doi: https://doi.org/10.1002/we.2267
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Ground-motion networks in the Groningen field: usability and consistency of surface recordings
Several strong-motion networks have been installed in the Groningen gas field in the Netherlands ...
M Ntinalexis, JJ Bommer, E Ruigrok, B Edwards, R Pinho, B Dost, AA Correia, J Uilenreef, PJ Stafford, J Van Elk | Status: published | Journal: J. Seism. | Volume: 23 | Year: 2019 | First page: 1233 | Last page: 1253 | doi: 10.1007/s10950-019-09870-x
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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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