meteoForecast 0.43: GFS, NAM, and RAP included


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Some months ago I published the meteoForecast package, with functions to download data from the Meteogalicia and OpenMeteo NWP-WRF services. Now there is a new version available at CRAN. This update includes a bunch of bug fixes, some additional features, and three new services: GFS, NAM, and RAP.


You will find detailed information and examples here.

Meteorological Data Sources


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I have started a wiki with a collection of meteorological data sources I have collated in the framework of the research project PVCROPS. It includes services that publish observations, forecasts and reanalysis. Most of them offer products free of charge.

If you find typos or errors, or if you want some source to be referenced, please contribute.

meteoForecast, a package to obtain NWP-WRF forecasts in R


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wrfDaysThe Weather Research and Forecasting (WRF) Model is a numerical weather prediction (NWP) system. NWP refers to the simulation and prediction of the atmosphere with a computer model, and WRF is a set of software for this.

meteoForecast is a new R package that implements functions to download data from the Meteogalicia and OpenMeteo NWP-WRF services using the NetCDF Subset Service.

Read this introduction for additional information and examples.

Libro y presentaciones de Energía Solar Fotovoltaica en GitHub


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He publicado los ficheros fuente de mi libro “Energía Solar Fotovoltaica” y de sus presentaciones asociadas. Todo el material está en este repositorio GitHub.

Si estás registrado en GitHub puedes usar algunas funcionalidades interesantes:

Sin necesidad de usuario de GitHub puedes simplemente descargar el repositorio completo como un fichero ZIP. Si sólo te interesa el PDF final lo tienes aquí.

Los ficheros LaTeX del libro funcionan correctamente y se pueden compilar sin problemas. Con las presentaciones aún tengo que hacer algunas correcciones. Además, tengo el objetivo de reescribirlas usando orgmode con beamer para poder exportar a a otros formatos.

rasterVis tutorials


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Agustin Lobo has recently published some good tutorials about rasterVis:


Regarding the second tutorial, there has been an interesting discussion in the R-sig-Geo mailing list about the projection of the ggmap output.


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