![Monster-Orkan Sabine wird lebensgefährlich: 160 km/h-Orkanböen, Sturmflut und Verkehrsinfarkt | The Weather Channel Monster-Orkan Sabine wird lebensgefährlich: 160 km/h-Orkanböen, Sturmflut und Verkehrsinfarkt | The Weather Channel](https://s.w-x.co/util/image/v/1580984389148_wetter_orkan_Sabine.jpg?v=at&w=1280&h=720)
Monster-Orkan Sabine wird lebensgefährlich: 160 km/h-Orkanböen, Sturmflut und Verkehrsinfarkt | The Weather Channel
![Assessing Satellite‐Derived Radiative Forcing From Snow Impurities Through Inverse Hydrologic Modeling - Matt - 2018 - Geophysical Research Letters - Wiley Online Library Assessing Satellite‐Derived Radiative Forcing From Snow Impurities Through Inverse Hydrologic Modeling - Matt - 2018 - Geophysical Research Letters - Wiley Online Library](https://agupubs.onlinelibrary.wiley.com/cms/asset/fcf7df51-df16-4239-89ee-8c333f7dfdb1/grl57178-fig-0001-m.jpg)
Assessing Satellite‐Derived Radiative Forcing From Snow Impurities Through Inverse Hydrologic Modeling - Matt - 2018 - Geophysical Research Letters - Wiley Online Library
![Object and Direction Classification based on Range-Doppler Map of 79 GHz MIMO Radar Using a Convolutional Neural Network | Semantic Scholar Object and Direction Classification based on Range-Doppler Map of 79 GHz MIMO Radar Using a Convolutional Neural Network | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/cfbda673c86490d7321304eb24100ce592506bb6/2-Figure4-1.png)
Object and Direction Classification based on Range-Doppler Map of 79 GHz MIMO Radar Using a Convolutional Neural Network | Semantic Scholar
![Object and Direction Classification based on Range-Doppler Map of 79 GHz MIMO Radar Using a Convolutional Neural Network | Semantic Scholar Object and Direction Classification based on Range-Doppler Map of 79 GHz MIMO Radar Using a Convolutional Neural Network | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/cfbda673c86490d7321304eb24100ce592506bb6/1-Figure1-1.png)
Object and Direction Classification based on Range-Doppler Map of 79 GHz MIMO Radar Using a Convolutional Neural Network | Semantic Scholar
![ESD - Relations - Continental heat storage: contributions from the ground, inland waters, and permafrost thawing ESD - Relations - Continental heat storage: contributions from the ground, inland waters, and permafrost thawing](https://esd.copernicus.org/articles/14/609/2023/esd-14-609-2023-avatar-web.png)