Stochastic downscaling of gridded precipitation to spatially coherent subgrid precipitation fields using a transformed Gaussian model International Journal of Climatology

Climate impact models often require unbia sed point-scale observations, but cli- mate models typically provide biased simulations at the grid scale. While stan-dard bias adjustment methods have shown to generally perform well at adjusting climate model biases, they cannot overc ome the gap between grid-box and point scale. To overcome this limitation, comb ined bias adjustment and stochastic downscaling methods have been develope d. These methods, however, are single- site methods and cannot represent spatial dependence. Here we propose a multi-