List of RCLIM Functions

a) To explore weather and climate extremes in gridded datasets

A three-dimensional p x q x n array is referred to as a field, with first two space dimensions p and q, respectively, (e.g. longitude and latitude) and third time dimension n.

A matrix p x q is referred to as a map, with first and second dimensions p and q, respectively, (e.g. longitude and latitude).

	Name	Short description
1.	acs	Compute average cluster size for a given three-dimensional p x q x n array of excesses. First two dimensions p and q are space dimensions (e.g. longitude and latitude). Third dimension n is time.
2.	anomalyfield	Calculate anomalies by subtracting mean annual cycle or long-term mean of a three-dimensional p x q x n array of monthly mean values.
3.	applyfield	Compute basic statistics (e.g. mean, variance, min, max, skewness, quantile) for a given p x q x n three-dimensional array.
4.	applyfieldnew	Same as above, but also allows specification of fraction of non-missing values for the computation of the statistics. Grid points with larger fraction of missing values than specified are excluded.
5.	bluered	Generate a colour scale for plotting.
6.	boundexcesses	Compute upper bound of excesses for a given 2 x p x q array of Generalized Pareto distribution parameters. First index of the first dimension of the array represents the scale parameter. Second index of the first dimension of the array represents the shape parameter.
7.	corfield	Compute correlation between each point of a p x q x n three-dimensional array, and a vector of length n.
8.	covfield	Compute covariance between each point of a p x q x n three-dimensional array, and a vector of length n.
9.	detrend	Remove time trend from a time series.
10.	detrendfield	Remove time trend at each grid point of a p x q x n three-dimensional array.
11.	eof	Compute EOFs and PCs of a p x q x n three-dimensional array.
12.	extract	Extract a subset of data from either a p x q two-dimensional map (matrix) or a p x q x n three-dimensional array (field).
13.	extractmap	Extract a matrix (map) on a specific date from a p x q x n three-dimensional array.
14.	extractwindow	Extract field of monthly data for a given time period from a p x q x n three-dimensional array.
15.	first	Load R libraries needed to run RCLIM functions.
16.	flipmap	Flip a p x q two-dimensional map (matrix) or a p x q x n three-dimensional array up side down. Flip either latitude or longitude or both dimensions of a map or a three-dimensional array.
17.	identifyfield	Identify points by clicking on an image plot of the first time slice of a given p x q x n three-dimensional array, or an image plot of a p x q two-dimensional matrix. Also apply a user specified function to each selected points of the three-dimensional array.
18.	moviefield	Produce a movie of a given p x q x n three-dimensional array.
19.	mygpd.fit	Same as gpd.fit function from ismev package but with standard error calculation disactivated.
20.	netcdfinfo	Extract data structure, names of variables and dimension information form netcdf file.
21.	netcdfread	Extract longitude vector, latitude vector, time vector and data array from a netcdf file.
22.	netcdfwrite	Write two-dimensional map or three-dimensional array of data, longitude vector, latitude vector and time vector into a netcdf file.
23.	plotmap	Map two p x q dimensional data matrix in either cylindrical equidistant latitude and longitude projection or stereographic projection.
24.	plotpc	Plot EOFs and Principal Components (PCs, time series) that are output of the eof.r function.
25.	projmap	Generate a pixel plot of a matrix on a specified map projection.
26.	reshapefield	Reshape a n x pq matrix in a three-dimensional n x p x q array or reshape three-dimensional n x p x q array into a n x pq matrix.
27.	returnperiod	Compute return period for a given p x q matrix of excesses and a given 2 x p x q array of Generalized Pareto distribution parameters.
28.	tvt	Compute time-varying threshold for a given monthly time series.
29.	xdependence	Compute extreme dependence measures between a given p x q x n three-dimensional array and a given time series of length n.
30.	xdependence1	Same as above, but also allows specification of fraction of non-missing values for the computation of the statistics. Grid points with larger fraction of missing values than specified are excluded.
31.	xexcess	Compute mean excess and variance of excess for a given n x p x q three-dimensional.
32.	xgev	Compute location, shape and scale parameters of a Generalized Extreme Value Distribution for block annual maxima or minima of a given p x q x n three-dimensional array.
33.	xindex	Compute the intervals estimator for the extremal index, an index for time clusters, for a given time series and threshold.
34.	xindexfield	Compute the intervals estimator for the extremal index at each grid point of a p x q x n three-dimensional array.
35.	xpareto	Compute shape and scale parameters of a Generalized Pareto Distribution for a given p x q x n three-dimensional array.
36.	xparetotvt	Fit Generalized Pareto distribution with time-varying threshold at each grid point for a given p x q x n three-dimensional array of montly data.
37.	xparetotvtcov	Fit Generalized Pareto distribution with time-varying threshold at each grid point for a given p x q x n three-dimensional array of montly data. Allows linear modelling of the paramters.
38.	zoom	Zoom in on either a p x q two-dimensional map (matrix) or a p x q x n three-dimensional array (field), by selecting two corners that define a rectangular region of the space and a subset of time slices.

b) To combine and calibrate forecasts

	Name	Short description
39.	fa	Bayesian calibration and combination of forecasts. Download these files (xfa.txt,yfa.txt, xfasst.txt and yfasst.txt) to execute the examples provided in the internal description of this function.
40.	faprior	Estimate prior distribution.
41.	falikelihood	Model likelihood distribution.
42.	faprediction	Estimate posterior distribution.

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