rainTS4

Rainfall amounts aggregated using <code>TSaggreg()</code>. Campinas state of Sao Paulo, Brazil.

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

rainTS4 function

<div class="section" id="raints-">
<h3><code>rainTS4</code></h3>
A matrix with 4 columns and 576 rows:<dl>
<dt>Year</dt>
<dd>Year</dd><dt>Month</dt>
<dd>Month</dd><dt>quasiWeek</dt>
<dd>Four quasi-weekly periods in each month</dd><dt>rain.at.TS4</dt>
<dd>Rainfall amounts aggregated at TS equal to four</dd>...</dl></div>

Format

Rainfall Aggregated at the 4-quasi week time scale — rainTS4

<div class='section' id='raints-'>
<h3><code>rainTS4</code></h3>


A matrix with 4 columns and 576 rows:<dl>
<dt>Year</dt>
<dd>Year</dd>

<dt>Month</dt>
<dd>Month</dd>

<dt>quasiWeek</dt>
<dd>Four quasi-weekly periods in each month</dd>

<dt>rain.at.TS4</dt>
<dd>Rainfall amounts aggregated at TS equal to four</dd>

...

</dl>

</div>

rainTS4: Rainfall Aggregated at the 4-quasi week time scale

Description

Usage

Arguments

Format

`rainTS4`