PrateekD7
commented
3 years ago @EddyCMWF I'm interested in this challenge. I've good knowledge in satellite atmospheric remote sensing, retrieval theory/simulations and capable of running atmospheric radiative transfer models (both fast and line-by-line radiative transfer models - such as RTTOV, LBLRTM etc.). I've also have experience in Python, MATLAB coding in terms of my computational skills. Can you please provide more information and way forward on this challenge ? Thanks in advance.
EsperanzaCuartero
EddyCMWF
Challenge 15- The CDS-RTTOV-box
Goal
Development of a CDS toolbox application to visualize model atmospheres as they would be seen by satellites from space.
Mentors and skills
Challenge description
Satellite observations are critical in modern weather forecasting systems and there is an urgent/ongoing need to train more scientists in their exploitation. Highly sophisticated space-borne sensors make incredibly accurate radiation measurements of emissions from the atmosphere, but the relationship between these measurements and the atmospheric quantities we want to understand (e.g. temperature, humidity and chemical composition) is complex.
Radiative transfer models (computer codes, e.g. RTTOV) exist which make this link and are embedded at the centre of our operational data assimilation and modelling systems.
This project would build a prototype web interface that would allow students, trainers and researchers to run these codes and visualise the outputs via a web interface. For example, seeing how a change in carbon dioxide in the atmosphere would influence the satellite measurements gives an insight into how best to use these measurements. Pollution events can be similarly visualised from a "satellite view" perspective.
The GUI would be built with the CDS toolbox which already has access to the ERA5 model output as well as a number of satellite products and other model simulations. The resulting "application" could then be published on the CDS website and advertised to the Earth Observation community, potentially inspiring further developments and applications.