Search results

First 1203 results for ” Monika Szeląg”

1. Central Sudan surface wind data and climate characteristics

   Since the last decade the modelling of the tropical boundary layer is an outstanding problem, due...

   E.H. Abu Bakr | Year: 1988 | Pages: 54

   Publication

2. Simulating dust emissions and secondary organic aerosol formation over northern Africa during the mid-Holocene Green Sahara period

   Paleo-proxy data indicate that a “Green Sahara” thrived in northern Africa during the early- to m...

   P Zhou, Z Lu, J-P Keskinen, Q Zhang, J Lento, J Bian, T van Noije, P Le Sager, V-M Kerminen, M Kulmala, M Boy, R Makkonen | Journal: Clim. Past | Volume: 19 | Year: 2023 | First page: 2445 | Last page: 2462 | doi: 10.5194/cp-19-2445-2023

   Publication

3. High sensitivity of Aeolus UV surface returns to surface reflectivity

   Global ultraviolet (UV) surface reflectivity climatologies are all composed from daylight passive...

   L. D. Labzovskii, G. J. van Zadelhoff, L. G. Tilstra, J. de Kloe, D. P. Donovan & A. Stoffelen | Journal: Nature scientific reports | Volume: 13 | Year: 2023 | First page: 17552 | doi: 10.1038/s41598-023-44525-5

   Publication

4. Correcting Subseasonal Forecast Errors with an Explainable ANN to Understand Misrepresented Sources of Predictability of European Summer Temperatures

   Subseasonal forecasts are challenging for numerical weather prediction (NWP) and machine learning...

   Chiem van Straaten, Kirien Whan, Dim Coumou, Bart van den Hurk, and Maurice Schmeits | Journal: Artif. Intell. Earth Syst. | Volume: 2 | Year: 2023 | doi: https://doi.org/10.1175/AIES-D-22-0047.1

   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