METEOR 1.5 a spatial emulator for fast and relevant responses to impact questions

Here we present an extended version of the forcing-driven and overshoot-aware spatial impacts emulator METEOR, which now includes functionality to emulate monthly outputs which include seasonality and natural variability, with the option to produce large distribution ensembles for a point, regional average or spatial domain.  The philosophy of METEOR entails fast training on few and widely available datasets, sufficiently fast to be run on-the-fly and removing the need to archive large datasets and allowing interactive coupling with integrated assessment frameworks to simulate impacts directly.  METEOR1.5 introduces a state dependent seasonal model and an autoregressive spatial, state-dependent noise model which can produce distributions of realisations conforming to the climatic trends and distributional properties of the emulated model    Integrated impact modules allow the direct emulation of human and ecological stressors which are computed from easily retrained emulated climates to answer regional questions.