Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Addressing observational gaps in aerosol parameters using machine learning: Implications to aerosol radiative forcing
Addressing observational gaps in aerosol parameters using machine learning: Implications to aerosol radiative forcing
Addressing observational gaps in aerosol parameters using machine learning: Implications to aerosol radiative forcing
Atmospheric Environment
Parmar, Mittal (Autor:in) / Vaishya, Aditya (Autor:in) / Ojha, Narendra (Autor:in) / Pandya, Mehul R. (Autor:in) / Girach, Imran A. (Autor:in)
Atmospheric Environment ; 333 ; 120661
01.09.2024
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Aerosol optical characteristics and radiative forcing in urban Beijing
Elsevier | 2019
|Aerosol types and radiative forcing estimates over East Asia
Elsevier | 2016
|Estimation of Aerosol Direct Radiative Forcing in Southern India
Springer Verlag | 2024
|