Estimating daily weather and downscaling RCMs over landscapes

Estimating daily weather and downscaling RCMs over landscapes

Abstract

High-resolution meteorological data are necessary to understand and predict climate-driven impacts on the structure and function of terrestrial ecosystems. However, the spatial resolution of climate reanalysis data and climate model outputs is often too coarse for studies at local/landscape scales. Additionally, climate model projections usually contain important biases, requiring the application of statistical corrections. Here we present ‘meteoland’, an R package that integrates several tools to facilitate the estimation of daily weather over land- scapes, both under current and future conditions.

Publication
Environmental Modelling and Software