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"We are very grateful to the NeSI team for helping us to automatically build our coupled model in a container, allowing us to be resilient and circumvent any platform changes/updates."
“This tool enables us to give more frequent and district-level predictions of rainfall, dryness, and drought. Providing advanced warning of future dry spells will be invaluable.”
"This work is the first phase of the SEAPODYM parallelization project, and given the very encouraging results and perspectives, I will be looking forward to continuing our collaboration."
