get_mask

A gridpoint is masked for a given season (either 'MAM', 'JJAS' or 'OND'), if, on average, less than 10% of the annual total of rainfall
occur during the season. This function loads CHIRPS data, and derives this mask as a data table of lon, lat coordinates, only containing
the coordinates that shouldn't be masked. You can apply the mask to an existing data table using dt = combine(dt,mask).

Provides tools for processing and evaluating seasonal weather forecasts,
with an emphasis on tercile forecasts. We follow the World Meteorological Organization's
"Guidance on Verification of Operational Seasonal Climate Forecasts",
S.J.Mason (2018, ISBN: 978-92-63-11220-0, URL: <https://library.wmo.int/idurl/4/56227>).
The development was supported by the European Union’s Horizon 2020 research and innovation
programme under grant agreement no. 869730 (CONFER).
A comprehensive online tutorial is available at <http://files.nr.no/samba/CONFER/SeaVal/>.

Claudio Heinrich-Mertsching

SeaVal

Validation of Seasonal Weather Forecasts

Celine Cunen

Michael Scheuerer

get_mask function

<dl><dt>season</dt>
<dd>For which season do you want to calculate the mask? Needs to be either 'MAM', 'JJAS' or 'OND'.</dd>
<dt>clim_years</dt>
<dd>Numeric vector of years. Which years should be used to establish the mask?</dd>
<dt>version, resolution, us</dt>
<dd>Passed to <code>load_chirps</code>. Which CHIRPS version do you want to use and on what resolution?</dd></dl>

Arguments

Function to create a mask of dry regions from CHIRPS — get_mask

<dl>

<dt>season</dt>
<dd>For which season do you want to calculate the mask? Needs to be either 'MAM', 'JJAS' or 'OND'.</dd>


<dt>clim_years</dt>
<dd>Numeric vector of years. Which years should be used to establish the mask?</dd>


<dt>version, resolution, us</dt>
<dd>Passed to <code>load_chirps</code>. Which CHIRPS version do you want to use and on what resolution?</dd>

</dl>

get_mask: Function to create a mask of dry regions from CHIRPS

Description

Usage

Arguments

Examples