Introduction: Reliable meteorological data are a basic requirement for hydrological and ecological studies at the landscape scale. Given the large spatial variation of topographic features in complex reliefs, meteorological records from a single weather station are often not representative of entire landscapes. Moreover, studies addressing the impacts of climate change on forests and landscapes require downscaling coarse-scale predictions of climate models to the landscape scale.
About meteoland: With the aim to assist research of climate impacts on forests, the R package ‘meteoland’ provides utilities to estimate daily weather variables at any position in complex terrains:
- Spatial interpolation of daily weather records from meteorological stations.
- Statistical downscaling of coarse-scale meteorological data to the landscape scale.
Authors: Miquel De Cáceres, Nicolas Martin, Antoine Cabon
Availability: Download meteoland from CRAN.
Package dependencies: Rcpp, sp, spdep, qmap