SLOCS Speeding up radiative transfer solvers with machine learning Machine learning provides great opportunities for accelerating the representation of physical processes in weather and climate models. Radiative transfer solvers, which deal with the transport of solar and thermal radiation, are often the most costly parametrization in models. Speeding them up is one of the main ambitions of SLOCS. In
Coding The beauty of containers in C++11 Containers for storing data are one of many great features of the C++ Standard Library. Despite their advantages, to initialize them, and to loop over them was not always easy. Fortunately, the C++11 standard has made life easier, as I will explain below with examples. Disclaimer: this information has
