Institution:
CSDownscale supports the transformation of coarse-resolution climate predictions into higher-resolution, locally relevant climate information. Through its rich pool of statistical downscaling methods within an open and reusable workflow, it helps users derive local and actionable climate information. This makes the tool relevant for climate services that require local-scale information from (sub)seasonal to decadal prediction systems, enabling sectors such as water management, agriculture and energy to work with place-specific climate probabilities rather than coarse-grid information. In this way, CSDownscale is aligned with key HPC trends related to Seasonal-to-Decadal Climate-Impact Services and Open-Science and FAIR workflow ecosystems.
