BD_Insitu: Precipitation Station Measurement Dataset

In RFplus: Machine Learning for Merging Satellite and Ground Precipitation Data

Precipitation Station Measurement Dataset

Description

This dataset contains daily measurements from several precipitation stations. The first column represents the measurement date, and the following columns correspond to the measurements from each station on that date. The station columns are labeled with unique identifiers for each station, and the number of stations may vary depending on the dataset configuration.

Usage

data("BD_Insitu")

Format

A 'data.table' object with station measurements. The dataset includes the following columns:

Date

The measurement date in Year-Month-Day format (type Date or IDate). When the data includes Year-Month-Day Hour:Minute:Second, make sure the data is of type POSIXct.

Station_ID_1, Station_ID_2, ...

Measurements from the stations (numeric values). Each column after Date represents the measurements of a precipitation station for the corresponding date. The columns are labeled with unique identifiers (e.g., Station_ID_1, Station_ID_2, etc.) for each station, and the number of stations (columns) may vary.

Details

The data represents daily measurements taken from several precipitation stations. The first column contains the measurement dates, and the following columns represent the measurements of each station on those dates. The number of stations may vary depending on the dataset, and each station is uniquely identified by its column name (e.g., Station_ID_1, Station_ID_2, etc.).

Source

The data was generated for use in the bias correction model for satellite products, RFplus.

Examples

data(BD_Insitu)
## You can use str(BD_Insitu) to get a description of the structure
## or view some of the first rows using head(BD_Insitu)

RFplus documentation built on April 3, 2025, 5:44 p.m.