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Clean and Process Model Data

Source: R/model_clean.R
model_clean.Rd

This function processes the model data by separating soil moisture storage from the dataset, calculating changes in storage, and combining this information back with the original data.

Usage

model_clean(x)

Arguments

x

A data frame acquired from the `CABCMParquetRead()` or `TerraClimParquetRead()` function. This data frame should include columns for `divide_id`, `var`, `date`, `value`, and `source`.

Value

A data frame containing the combined and cleaned data. The dataset includes:

  • Data points where `var` is not "str", including columns `divide_id`, `var`, `date`, `value`, and `source`.

  • Calculated changes in soil moisture storage where `var` is "str", which is computed as the day-to-day difference in `value`.

  • The combined data with appropriate renaming and omission of missing values.

Details

The `model_clean` function performs the following steps:

  • Filters out data points where `var` is not "str" and retains only those columns needed.

  • For data points where `var` is "str", calculates the day-to-day change in soil moisture storage.

  • Renames the calculated changes and combines this cleaned data with the original dataset.