ARTS is a radiative transfer model. Here is what ChatGPT has to say about it:
The Atmospheric Radiative Transfer Simulator (ARTS) has been extensively used in scientific literature to simulate and study radiative transfer processes in the atmosphere.
- Remote Sensing: ARTS has been employed in various studies focusing on remote sensing of the Earth's atmosphere and surface. It has been used to simulate measurements from satellite-based instruments such as passive microwave, infrared, and submillimeter sensors.
- Climate Studies: Researchers have utilized ARTS to investigate the role of different atmospheric constituents, such as water vapor, clouds, and aerosols, in the Earth's radiative balance. It has been instrumental in studying the radiative effects of greenhouse gases and their impact on climate change.
- Atmospheric Composition: ARTS has been used to simulate and analyze observations of atmospheric composition, including the distribution and behavior of trace gases and pollutants.
- Weather Forecasting: In weather forecasting, ARTS has been employed to simulate microwave and infrared measurements for data assimilation and improving the accuracy of numerical weather prediction models.
- Instrument Development: ARTS has been used in the design and optimization of new remote sensing instruments, helping to assess instrument performance and retrieval algorithms.
- Education and Training: Beyond research, ARTS has been used as an educational tool to teach students about radiative transfer processes and their applications in atmospheric and environmental sciences.
(ChatGPT 3.5, 2024-04-30, prompt: Write a short overview on how the radiative transfer simulator ARTS has been used in the scientific literature)
The features of the current version are listed in the ARTS Documentation.
ARTS is a community effort. The core development is done by Universität Hamburg and Chalmers University.