Y Ding, C Mu, T Wu, G Hu, D Zou, D Wang, W Li… - Earth-Science …, 2021 - Elsevier
The cryosphere is an important component of the global climate system. Cryospheric components are sensitive to climate warming, and changes in the cryosphere can lead to …
Abadi, M., and Coauthors, 2016: Tensorflow: A system for large-scale machine learning. Proc. 12th USENIX Symp. on Operating Systems Design and Implementation (OSDI'16) …
Benchmark datasets and benchmark problems have been a key aspect for the success of modern machine learning applications in many scientific domains. Consequently, an active …
Given the growing use of Artificial intelligence (AI) and machine learning (ML) methods across all aspects of environmental sciences, it is imperative that we initiate a discussion …
Long-term trends in the historical frequency of environments supportive of atmospheric convection are unclear, and only partially follow the expectations of a warming climate. This …
As lightning-detection records lengthen and the efficiency of severe weather reporting increases, more accurate climatologies of convective hazards can be constructed. In this …
The processes leading to the development of hail and the distribution of these events worldwide are reviewed. Microphysical and physical characteristics of hail development are …
Abstract By 31 December 2018, 39 537 quality-controlled reports of large hail had been submitted to the European Severe Weather Database (ESWD) by volunteers and ESSL. This …
AF Prein, GJ Holland - Weather and Climate Extremes, 2018 - Elsevier
A single hailstorm can cause losses in the billion-dollar range if it occurs over a densely populated area. Property losses from hailstorms are rising with time mainly due to a …