CLIMATOL

(Climate all, climate tools, ...)

Algunas herramientas para Climatología Some Tools for Climatology

CLIMATOL es un paquete para R que contiene funciones para la homogeneización de series climatológicas, más sendas funciones para dibujar rosas de los vientos y diagramas de Walter y Lieth. CLIMATOL is a contributed R package holding functions for climatological series homogenization, plus a couple of functions to plot wind-roses and Walter&Lieth diagrams.

Se distribuye bajo la licencia GPL (versión 2 o superior). It is distributed under the GPL license (version 2 or newer).

Versión en español (1.0.2): climatol_1.0.2.tar.gz (132 KB). English version (2.1, New!): climatol_2.1.tar.gz (294 KB).

Próxima versión de Climatol Climatol version 2.x

La largo tiempo anunciada versión 2 de Climatol se ha retrasado más de lo inicialmente previsto, debido a las diversas pruebas de varios algoritmos de detección de saltos en la media de la nueva función para la homogeneización automática de series. La versión que se está traduciendo al español será directamente la nueva 2.1, que mejora y corrige algunos fallos de la 2.0. The 2.x version series released in 2011 implements a function for a completely automatic homogenization of a climatological dataset, including missing data filling and detection/correction of outliers and shifts in the means of the series. Trends are diagnosed but not corrected. (Many functions of the old package have been removed or re-written, so do not expect backwards compatibility).
This 2.1 version corrects a bug in the post-processing function dahstat that computed the trends for the whole study period irrespective of that specified by the user. More importantly, the 2.0 version did not corrected the inhomogeneous series with enough precission, and that made the trends of the homogenized series to be much reduced.
Before actually trying the software, potential users may want to look at the climatol guide, to see if it can meet their requirements. Most examples can be run with the data files included in this archive, which should be uncompressed in your R working directory.

Algunas herramientas para Climatología	Some Tools for Climatology
CLIMATOL es un paquete para R que contiene funciones para la homogeneización de series climatológicas, más sendas funciones para dibujar rosas de los vientos y diagramas de Walter y Lieth.	CLIMATOL is a contributed R package holding functions for climatological series homogenization, plus a couple of functions to plot wind-roses and Walter&Lieth diagrams.
Se distribuye bajo la licencia GPL (versión 2 o superior).	It is distributed under the GPL license (version 2 or newer).
Versión en español (1.0.2): climatol_1.0.2.tar.gz (132 KB).	English version (2.1, New!): climatol_2.1.tar.gz (294 KB).
Próxima versión de Climatol	Climatol version 2.x
La largo tiempo anunciada versión 2 de Climatol se ha retrasado más de lo inicialmente previsto, debido a las diversas pruebas de varios algoritmos de detección de saltos en la media de la nueva función para la homogeneización automática de series. La versión que se está traduciendo al español será directamente la nueva 2.1, que mejora y corrige algunos fallos de la 2.0.	The 2.x version series released in 2011 implements a function for a completely automatic homogenization of a climatological dataset, including missing data filling and detection/correction of outliers and shifts in the means of the series. Trends are diagnosed but not corrected. (Many functions of the old package have been removed or re-written, so do not expect backwards compatibility). This 2.1 version corrects a bug in the post-processing function dahstat that computed the trends for the whole study period irrespective of that specified by the user. More importantly, the 2.0 version did not corrected the inhomogeneous series with enough precission, and that made the trends of the homogenized series to be much reduced. Before actually trying the software, potential users may want to look at the climatol guide, to see if it can meet their requirements. Most examples can be run with the data files included in this archive, which should be uncompressed in your R working directory.