Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Caroline Mogollón-Sotelo"'
Autor:
Nathalia Celis, Caroline Mogollón-Sotelo, Camilo Ferro, Martha Merchán, Alejandro Casallas, Fredy Alejandro Guevara-Luna, Marco Andrés Guevara-Luna
Publikováno v:
Modeling Earth Systems and Environment. 8:2951-2964
In places with complex topography, the reproduction of atmospheric dynamics is challenging and resource demanding. Recently, machine learning has been successfully implemented to forecast pollution and weather variables. LSTM (long short-term memory)
Autor:
Sergio Vidal, Nathalia Celis, Caroline Mogollón-Sotelo, Camilo Ferro, Alejandro Casallas, Luis Carlos Belalcazar
Publikováno v:
Air Quality, Atmosphere & Health. 14:399-409
Physical models are essential to describe the behavior of pollutants especially in high latitudes, and they have been regarded as immensely precise. In the tropics, however, these models have lower accuracy due to the absence of a simple theoretical