meteoland package provides functions to estimate daily weather variables (temperature, realtive humidity, precipitation...) over landscapes, by means of interpolation and statistical corrections.
Here you will learn how to use the meteoland R package to interpolate weather from meteorological stations data, and to downscale/correct predictions resulting from regional climate models
In addition, an interactive shiny app is provided to illustrate the package capabilities, using the Catalan region as an example.
Simple guide to start using the package
Detailed description of package functions and mathematical calculations of each procedure
A short guide to learn to use the shiny app included in this web page
These are the cross-validation results for the process of interpolating daily meteorological data. Validation was done by making predictions for the location of each metereological station after excluding its data from the model. Cross-validation was conducted for each year in the 1976-2016 period separately.
This web-based service has been develop by the Vegetation Modeling Group at Forest Sciences Centre of Catalonia (CTFC), in collaboration with the Center for Ecological Research and Forestry Applications (CREAF):
Idea and conceptual design: Miquel de Cáceres (CTFC/CREAF), Víctor Granda (CTFC) & Antoine Cabon (CTFC/CREAF).
Package development: Miquel De Cáceres (CTFC/CREAF), Antoine Cabon (CTFC/CREAF), Nicolas Martin StPaul (INRA) & Víctor Granda (CTFC).
User interface: Víctor Granda (CTFC).
Contact: Miquel De Cáceres (email@example.com)
Information elaborated using daily weather data obtained from the Agencia Estatal de Meteorologia (AEMET).
Climate scenarios (2006-2100) downloaded from Earth System Grid Federation (ESGF).
Projects: INFORMED (PCIN-2014-050), FORESTCAST (CGL2014-59742-C2-2-R, Ministerio de Economía y Competitividad), DRESS (CGL2017-89149-C2-2-R, Ministerio de Economía y Competitividad).
Fellowships: RYC-2012-11109 to M. De Cáceres (Ministerio de Economía y Ciencia).
The data offered in this website is the result of modelling exercises and the accuracy of results may be impaired by several factors, like inaccuracies of input data, inappropriate model design or parameterization. Users should be aware of all these limitations when using the data offered here. We decline all responsibility for how the data in this website is used by third parties.