Work

Dust Aerosol Detection, Monitoring and Forecasting

Year: 2024

Type: article

Abstract: The training course on 'Dust Aerosol Detection, Monitoring and Forecasting' is a Pythonbased training that provides a hands-on introduction to satellite-, ground-and model-based data used for dust monitoring and forecasting.The course is organised in three main chapters: (i) observations (satellite-and ground-based), (ii) forecast models and a (iii) practical case study.It features twelve different datasets derived from satellites, groundbased measurement networks and forecast models.The course material is developed in the form of well-described and modular Jupyter notebooks.In total, the course consists of 17 notebooks; 12 data workflows and five practical exercise notebooks.

Source: Journal of Open Source Education

DOI: 10.21105/jose.00200

Authors: Julia Wagemann, Sabrina H. Szeto, Simone Mantovani, Federico Fierli

Institution: European Organisation for the Exploitation of Meteorological Satellites

Language: English

Topic: Atmospheric aerosols and clouds

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: diamond

Funders: Barcelona Supercomputing Center, European Organization for the Exploitation of Meteorological Satellites, Agencia Estatal de Meteorología