SEVIRI_ML: A machine learning based module to derive: (1) A cloud mask, (2) the cloud phase, (3) the cloud top pressure, (4) the cloud top temperature, (4) a multilayer flag and (5) a cloud base height from SEVIRI measurements using its full spectral capabilities. Also to be used as external module with ORAC (https://github.com/ORAC-CC/orac).
A collection of sample C++ solutions for practice AIO questions on ORAC.
This is a set of solutions to competitive programming problems from ORAC, Codeforces, AtCoder, and CSES (the latter two to a lesser extent). All code has been written in C++.
Two Procedures for disabling and enabling indexes and Constraints for performance wise.
Mapsa workshop-1, 2020-08-28
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