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First 89 results for ” JL Neu”

1. From near-neutral to strongly stratified: adequately modelling the clear-sky nocturnal boundary layer at Cabauw

   In this study, the performance of an atmospheric single-column model (SCM) is studied systematica...

   Baas, Wiel, Linden, Bosveld | Status: published | Journal: Bound.-Layer Meteorol. | Year: 2017 | doi: 10.1007/s10546-017-0304-8

   Publication

2. A neural network radiative transfer model approach applied to the Tropospheric Monitoring Instrument aerosol height algorithm

   To retrieve aerosol properties from satellite measurements of the oxygen A-band in the near-infra...

   S Nanda, M de Graaf, JP Veefkind, M ter Linden, MC Sneep, JF de Haan, PF Levelt | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 12 | Year: 2019 | First page: 6619 | Last page: 6634 | doi: 10.5194/amt-12-6619-2019

   Publication

3. 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

4. Direct Retrieval of NO2 Vertical Columns from UV-Vis (390-495 nm) Spectral Radiances Using a Neural Network

   Satellite retrievals of columnar nitrogen dioxide (NO2) are essential for the characterization of...

   Li, C., Xu, X., Liu, X., Wang, J., Sun, K., van Geffen, J., Zhu, Q., Ma, J., Jin, J., Qin, K., He, Q., Xie, P., Ren, B. and Cohen, R. C. | Journal: JOURNAL OF REMOTE SENSING | Year: 2022 | doi: https://doi.org/10.34133/2022/9817134

   Publication

5. Neural Network AEROsol Retrieval for Geostationary Satellite (NNAeroG) Based on Temporal, Spatial and Spectral Measurements.

   Geostationary satellites observe the earth surface and atmosphere with a short repeat time, thus...

   Chen, X.; Zhao, L.; Zheng, F.; Li, J.; Li, L.; Ding, H.; Zhang, K.; Liu, S.; Li, D.; de Leeuw, G. | Journal: Remote Sensing | Volume: 14 | Year: 2022 | First page: 980 | doi: https://doi.org/10.3390/rs14040980

   Publication