Aggregate timeseries data to solstices and equinoxes 1.0

accumSeasonTS- aggregate timeseries to solstices and equinoxesUsing G. Cardillo function to compute solstices and equinoxes, this function will aggregate time series data (e.g. Precipitation) to seasonally summarized results. To accomplish this three core functions are used: eqnsol, unique, and accumarray. The rest of the function is manipulating data to pass around in between the functions.This function will output cumulative seasonal totals of data. It'sapplication is limited default parameterization of ACCUMARRAY matlab function (i.e. sum totals). It's certainly possible to modify this function to allow the user to apply different statistics in theACCUMARRAY function, but not done here.Additionally, this function uses another function (EQNSOL) to calculate the summer/winter solstices and spring/fall equinoxes per year, then sum up the data within each season.Function does not discriminate on partial seasons. Partial seasons that are either because of beginning or ending dates, or because of missing data are not censored. Partial seasons will be output along with all complete seasons. It's up to the user to either pre-process the data or post process the results.Expected inputs is a timeseries of data in two columns: a decimal date, and the values to be accumulated.datain = n x 2 datain(:,1) = decimal date/time datain(:,2) = values to sum by seasonfn = supplied string specifying a valid summary statistic function.Example: @sum, @max, @min, etc.dataout = n x 2 dataout(:,1) = decimal date/time of the start of the season dataout(:,2) = values summed for the seasonAcknowledgements:Cardillo G. (2007) Equinoxes and Solstices: compute the date and time of equinoxes and solstices.http://www.mathworks.com/matlabcentral/fileexchange/17977 Written by: Jeff Burkey King County- DNRP email: jeff.burkey@kingcounty.gov May 30, 2009Syntax: [dataout] = accumSeasonTS(datain,fn)

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Accumulated,  Columns,  Complete,  Datain,  Decimal,  Expected,  Inputs,  Preprocess,  Process
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