Search results

First 859 results for ”S North”

1. Probing Gravity Waves in the Middle Atmosphere Using Infrasound From Explosions

   This study uses low-frequency, inaudible acoustic waves (infrasound) to probe wind and temperatur...

   E Vorobeva, JD Assink, PJ Espy, T Renkwitz, I Chunchuzov, SP Näsholm | Journal: Journal of Geophysical Research | Year: 2023 | doi: https://doi.org/10.1029/2023JD038725

   Publication

2. Surface solar radiation forecasts by advecting cloud physical properties derived from Meteosat Second Generation observations

   A surface solar radiation forecast algorithm is developed using cloud physical properties from th...

   Wang, P., van Westrhenen, R., Meirink, J. F., van der Veen, S., and Knap, W | Journal: Solar Energy | Volume: 177 | Year: 2019 | doi: https://doi.org/10.1016/j.solener.2018.10.073

   Publication

3. Surface solar radiation forecasts by advecting cloud physical properties derived from Meteosat Second Generation observations

   A surface solar radiation forecast algorithm is developed using cloud physical properties from th...

   Wang, P., R.M. van Westrhenen, J.F. Meirink, S.H. van der Veen and W.H. Knap | Journal: Solar Energy | Year: 2018 | doi: https://doi.org/10.1016/j.solener.2018.10.073

   Publication

4. Estimating trends and the current climate mean in a changing climate

   Describing the climate evolution using trend lines and estimating the current climate mean (CCM) ...

   Scherrer, S. C., de Valk, C., Begert, M., Gubler, S., Kotlarski, S., & Croci-Maspoli, M. | Journal: Climate Services | Volume: 33 | Year: 2024 | doi: https://doi.org/10.1016/j.cliser.2023.100428

   Publication

5. 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