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Updated documentation
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Eric Oliver committed Oct 26, 2015
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1 change: 1 addition & 0 deletions CHANGES.txt
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Expand Up @@ -8,3 +8,4 @@ v0.7, 4 June 2015 -- Added support for missing values in temperature time seri
v0.8, 16 July 2015 -- Added calculations of total MHW days and cumulative intensity
v0.9, 14 Sep 2015 -- Added calculation of MHW rank and return period
v0.10, 14 Sep 2015 -- Added calculation of normalized MHW intensity
v0.11, 26 Oct 2015 -- Updated documentation
8 changes: 4 additions & 4 deletions build/lib/marineHeatWaves.py
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Expand Up @@ -101,7 +101,7 @@ def detect(t, temp, climatologyPeriod=[1983,2012], pctile=90, windowHalfWidth=5,
Notes:
1. This function assumes that the input time series consist of continuous daily values
with no missing values. Time ranges which start and end part-way through the calendar
with few missing values. Time ranges which start and end part-way through the calendar
year are supported.
2. This function supports leap years. This is done by ignoring Feb 29s for the initial
Expand All @@ -112,9 +112,9 @@ def detect(t, temp, climatologyPeriod=[1983,2012], pctile=90, windowHalfWidth=5,
before the start day and ended a half-day after the end-day. (This is consistent with the
duration definition as implemented, which assumes duration = end day - start day + 1.)
4. For the purposes of MHW detection, any missing temp values not interpolated over will be
set equal to the seasonal climatology. This means they will trigger the end/start of any
adjacent temp values which satisfy the MHW criteria.
4. For the purposes of MHW detection, any missing temp values not interpolated over (through
optional maxPadLLength) will be set equal to the seasonal climatology. This means they will
trigger the end/start of any adjacent temp values which satisfy the MHW criteria.
Written by Eric Oliver, Institue for Marine and Antarctic Studies, University of Tasmania, Feb 2015
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3,551 changes: 3,551 additions & 0 deletions docs/.ipynb_checkpoints/example_synthetic-checkpoint.ipynb

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20 changes: 10 additions & 10 deletions docs/README.txt
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Contents
========

example_bigThreeMHWs.html HTML file of IPython notebook outlining use of
marineHeatWaves code to detect the "big three"
historical marine heatwaves. Original data files
(NOAA OI SST hi-res) not supplied.
marineHeatWaves_manual.html HTML file of IPython notebook outlining use of
marineHeatWaves code to detect the "big three"
historical marine heatwaves. Original data files
(NOAA OI SST hi-res) not supplied due to copyright.

example_synthetic.ipynb IPython notebook outlining use of marineHeatWaves
code to detect events from a synthetic time series.
This notebook can be run by the user as it relies
on internally-generated synthetic temperature data.
example_synthetic.ipynb IPython notebook outlining use of marineHeatWaves
code to detect events from a synthetic time series.
This notebook can be run by the user as it relies only
on internally-generated synthetic temperature data.

example_synthetic.html Static HTML version of example_synthetic.ipynb
example_synthetic.html Static HTML version of example_synthetic.ipynb

README.txt This file
README.txt This file

Contact
=======
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6,313 changes: 3,139 additions & 3,174 deletions docs/example_synthetic.html

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2 changes: 1 addition & 1 deletion setup.py
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from distutils.core import setup

setup(name='marineHeatWaves',
version='0.10',
version='0.11',
author = "Eric C. J. Oliver",
author_email = "eric.oliver@utas.edu.au",
description = ("A set of functions which implement the Marine Heatwave definition of Hobday et al. (2015)"),
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