ValparaisoPPts

<p>Daily time series for the year 1983 on 34 rain gauges of the Valparaiso region (Chile), with more than 90% of days with information (without missing values)</p>

datasets

S3 implementation of the Random Forest MErging Procedure (RF-MEP), which combines two or more satellite-based datasets (e.g., precipitation products, topography) with ground observations to produce a new dataset with improved spatio-temporal distribution of the target field. In particular, this package was developed to merge different Satellite-based Rainfall Estimates (SREs) with measurements from rain gauges, in order to obtain a new precipitation dataset where the time series in the rain gauges are used to correct different types of errors present in the SREs. However, this package might be used to merge other hydrological/environmental satellite fields with point observations. For details, see Baez-Villanueva et al. (2020) <doi:10.1016/j.rse.2019.111606>. Bugs / comments / questions / collaboration of any kind are very welcomed.

Mauricio ZambranoBigiarini

RFmerge

Merging of Satellite Datasets with Ground Observations using
Random Forests

Mauricio Zambrano-Bigiarini 

Oscar M. Baez-Villanueva 

Juan Giraldo-Osorio 

ValparaisoPPts function

<p>A zoo object with 34 columns (one for each rain gauge) and 365 rows (one for each day in 1983). <code>colnames(ValparaisoPPts)</code> must coincide with the <var>ID</var> column in <var>ValparaisoPPgis</var>.</p>

Format

Daily Precipitation Time Series for Valparaiso Region (Chile) — ValparaisoPPts

Daily Precipitation Time Series for Valparaiso Region (Chile)

ValparaisoPPts: Daily Precipitation Time Series for Valparaiso Region (Chile)

Description

Usage

Arguments

Format

Details