CampinasRain

<p>Daily rainfall amounts recorded in millimetres in Campinas state of Sao Paulo, Brazil.</p>

datasets

Improves the interpretation of the Standardized Precipitation
Index under changing climate conditions. The package uses the
nonstationary approach proposed in Blain et al. (2022)
<doi:10.1002/joc.7550> to detect trends in rainfall quantities and to
quantify the effect of such trends on the probability of a drought event
occurring.

Gabriel Constantino Blain

SPIChanges

Improves the Interpretation of the Standardized Precipitation
Index Under Changing Climate Conditions

Graciela R. Sobierajski

Leticia L. Martins

Adam H. Sparks

CampinasRain function


<div class="section" id="campinasrain">
<h3><code>CampinasRain</code></h3><p></p><p>
</p><p>A dataframe with 2 columns and 16071 rows:</p><dl>
<dt>Date</dt>
<dd><p>Date</p></dd><p></p><p><dt>Rain</dt>
<dd><p>Daily rainfall amounts recorded in millimetre in Campinas state of Sao Paulo, Brazil</p></dd></p><p>...</p><p></p></dl><p></p><p></p></div>


Format

Daily Rainfall Amounts — CampinasRain


<div class='section' id='campinasrain'>
<h3><code>CampinasRain</code></h3>


<p>A dataframe with 2 columns and 16071 rows:</p><dl>
<dt>Date</dt>
<dd><p>Date</p></dd>

<dt>Rain</dt>
<dd><p>Daily rainfall amounts recorded in millimetre in Campinas state of Sao Paulo, Brazil</p></dd>

...

</dl>

</div>


CampinasRain: Daily Rainfall Amounts

Description

Usage

Arguments

Format

`CampinasRain`