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First 680 results for ” Errera”

1. Benefit of ozone observations from Sentinel-5P and future Sentinel-4 missions on tropospheric composition

   We present an observing simulated system experiment (OSSE) dedicated to evaluate the potential ad...

   Quesada-Ruiz, S., Attié, J.-L., Lahoz, W. A., Abida, R., Ricaud, P., El Amraoui, L., Zbinden, R., Piacentini, A., Joly, M., Eskes, H., Segers, A., Curier, L., de Haan, J., Kujanpää, J., Oude Nijhuis, A. C. P., Tamminen, J., Timmermans, R., and Veefkind, P. | Journal: Atmos. Meas. Tech. | Volume: 13 | Year: 2020 | First page: 131 | Last page: 152 | doi: https://doi.org/10.5194/amt-13-131-2020

   Publication

2. Performance assessment of geophysical instrumentation through the automated analysis of power spectral density estimates

   This study describes an automated data quality verification procedure supported by a database of ...

   Mathijs Koymans, Jordi Domingo-Ballesta, Elmer Ruigrok, Reinoud Sleeman, Luca Trani, Läslo Evers | Journal: Earth and Space Science | Volume: 8 | Year: 2021 | doi: https://doi.org/10.1029/2021EA001675

   Publication

3. A generalized simulation capability for rotating- beam scatterometers

   Rotating-beam wind scatterometers exist in two types: rotating fan-beam and rotating pencil-beam...

   Zhen Li, Ad Stoffelen, Anton Verhoef | Journal: Atmos. Meas. Tech. | Volume: 12 | Year: 2019 | First page: 3573 | Last page: 3594 | doi: https://doi.org/10.5194/amt-12-3573-2019

   Publication

4. Statistical Postprocessing for Weather Forecasts: Review, Challenges, and Avenues in a Big Data World

   Statistical postprocessing techniques are nowadays key components of the forecasting suites in ma...

   Vannitsem, S., Bremnes, J. B., Demaeyer, J., Evans, G. R., Flowerdew, J., Hemri, S., Lerch, S., Roberts, N., Theis, S., Atencia, A., Ben Bouallègue, Z., Bhend, J., Dabernig, M., De Cruz, L., Hieta, L., Mestre, O., Moret, L., Plenković, I. O., Schmeits, M., Taillardat, M., Van den Bergh, J., Van Schaeybroeck, B., Whan, K., and Ylhaisi, J. | Journal: Bulletin of the American Meteorological Society | Volume: 102 | Year: 2021 | First page: E681 | Last page: E699 | doi: 10.1175/BAMS-D-19-0308.1

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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

   Publication