Deep, unbiased answers to the questions practitioners actually ask.
Statistical downscaling uses observed relationships between large-scale climate patterns and local conditions. It's computationally cheap but assumes historical relationships hold under future climate.
Dynamical downscaling nests a high-resolution regional climate model within a global model. Physics-based, it captures novel climate states with no historical precedent. But extremely computationally expensive.
Most commercial providers use statistical downscaling for cost reasons. Jupiter Intelligence is one of the few running dynamical downscaling operationally.