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Keywords: deep learning, Fortran, cloud microphysics, aerosols, high-performance computing, neural network, surrogate model Acknowledgements: This material was based upon work supported by the U.S.
Abstract: This study explores the complex interaction among atmospheric parameters, encompassing instability, airflow patterns, and aerosol environments, impacting cloud microphysics and, consequently ...
Climate scientists have struggled to explain Arctic warming, but a new study focuses on clouds that trap heat, acting like a ...
Cloud-microphysics modelling group at the Institute of Geophysics, Faculty of Physics, University of Warsaw, Poland ...
When searching for life in the Universe (aka. astrobiology), scientists use strategies that go by various names. For example, ...
Pune: The IITM, Pune, has expanded its advanced rainfall monitoring capabilities with the installation of a sophisticated ...
The second printing contains a critical discussion of Dirac derivation of canonical quantization, which is instead deduced from general geometric structures. This book arises out of the need for ...
Bromide ion is a ubiquitous species in natural aqueous systems. Its concentration is quite low in rainwater, ranging from 0 to 110 μg L –1, but reaches considerable values in groundwater, between 0.01 ...
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