Homogenized precipitation data series for Sierra Nevada
Using the ClimaNevada database, an integrated and homogenized precipitation data series has been generated [1]. For this purpose, a filtering, filling and homogenization of the data has been carried out, using the Climatol package [2].
The interpolation model RegRAIN version 0.1.0 [3] has been used to generate climatologies of precipitation in each month and season of the year with a resolution of 400 m. This model is based on the Regnie regionalized rainfall model [4], and consists of a combination of a multiple linear regression model incorporating elevation, slope and terrain exposure as variables and an interpolation algorithm according to inverse distance weighting [5]. For this purpose, data from 203 stations with homogenized precipitation records covering different time periods were used.
The applications of this dataset are diverse, being fundamental for climate variability and climate change studies. Thus, for example, these datasets are the starting point for the creation of other gridded databases, using interpolation models that allow obtaining climate surfaces with which to perform a detailed examination of precipitation in a region or to validate model outputs.
Dataset
- Title: Spatial distribution of annual and seasonal precipitation (mm) in Sierra Nevada and surroundings with the accumulated means resulting
from RegRAIN interpolation
- Format: raster.
- doi: https://doi.org/10.6084/m9.figshare.14208392.v2
- Citation: Peinó, Eric (2021). Spatial distribution of annual and seasonal precipitation (mm) in Sierra Nevada and surroundings with the
accumulated means resulting from RegRAIN interpolation.. figshare. Dataset. https://doi.org/10.6084/m9.figshare.14208392.v2.
References
[1] Peinó Calero, E. 2020. Análisis de la variabilidad espacio-temporal de las precipitaciones en Sierra Nevada y su entorno. Trabajo Fin de Master. University of Granada, Departamento de Física Aplicada[2] Guijarro, J.A., 2019. Climatol: Climate Tools (Series Homogenization and Derived Products). Version 3.1.2 https://CRAN.R-project.org/package=climatol.
[3] Alzate Velásquez, D.F., Araujo Carrillo, G.A., Rojas barbosa, E.O., Gomez Latorre, D.A., Martínez Maldonado, F.E. 2017. Interpolacion Regnie para lluvia y temperatura en las regiones andina, caribe y pacífica de Colombia. Colombia forestal 21: 102.
[4] Rauthe, M., Steiner, H., Riediger, U., Mazurkiewicz, A., Gratzki, A. 2013. A Central European precipitation climatology – Part I: Generation and validation of a high-resolution gridded daily data set (HYRAS). Meteorol. Z.22.
[5] Buishand, T.A. 2008. On spatial extremes: with application to a rainfall problem. The Annals of Applied Statistics 2: 624-642.