Given a time series of daily temperatures, the package provides tools to detect extreme thermal events, including marine heat waves, and to calculate the exceedances above or below specified threshold values. It outputs the properties of all detected events and exceedances.
|Author||Albertus J. Smit [aut, cre] (R implementation.), Eric C. J. Oliver [aut] (The brain behind the Python implementation.), Robert W. Schlegel [ctb] (Graphical and data summaries.)|
|Date of publication||2017-02-16 07:34:58|
|Maintainer||Albertus J. Smit <firstname.lastname@example.org>|
|License||MIT + file LICENSE|
block_average: Calculate Yearly Means for Event Metrics.
detect: Detect Marine Heat Waves and Marine Cold Spells.
event_line: Create a Line Plot of Marine Heat Waves or Cold Spells.
exceedance: Detect consecutive days in exceedance of a given threshold.
geom_flame: Create 'Flame' Ploygons
geom_lolli: Visualise a Timeline of Several Event Metrics as 'Lollipops'.
lolli_plot: Create a Timeline of Selected Event Metrics.
make_whole: Constructs a Continuous, Uninterrupted Time Series of...
sst_Med: Optimally Interpolated 0.25 degree SST for the Mediterranean...
sst_NW_Atl: Optimally Interpolated 0.25 degree SST for the NW Atlantic...
sst_WA: Optimally Interpolated 0.25 degree SST for the Western...
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