Bug fixed: an error computing anomalies in
tidy_nc was resolved.
Self-Organized Maps method is now available by means of the
som_clas function. Beta version.
lamb_clas function was improved. Two new arguments were added.
U(logical) allows the user decide if undefined class is wanted or not.
thr (numeric vector), allows to select the threshold you want for total shear vorticity and total flow, to tune the frequency of the “U” type.
New functions to perform the objective approach of the Lamb classification (Jenkinson and Collison):
A new output based on maximum positive correlation is now available when the user perform a
T-mode classification using the
From now, objects saved using the
download_ncep() are in
RDS format instead of
Three external NetCDF files (
z500_ei.nc) from the ERA-interim dataset were upload for testing package purposes.
read_nc() function was removed. From now on, the function
ReadNetCDF() from the R package
metR will be used instead. This function makes it extremely easy to read NetCDF files.
download_ncep() was updated and now it provides an output very similar to the
tidy_cuttime_nc was replaced by a new function called
tidy_nc(). This last function allows to subset the time period and the geographical extent. Now it is easier to create a synoptic classification with more than one atmospheric variable.
pca_decision() was updated and the scree test is returned as a
synoptclas() function had several updates. The major change lies in the possibility to use two kind of matrix modes. Up to now, the user only could use the “S-mode” to perform de PCA-synoptic classification. This matrix mode is usually used to classify long and continuous period. Henceforth, user will can execute de PCA in T-mode, in order to analyse the synoptic patterns of extreme events: floods episodes, megadroughts, episodes of high pollution, etc. Another change provided in this update, is the output result, which is provided as a tibble, and it is easily to compute statistics in the
raster_clas was removed. Henceforth,
synoptclas already provides a plottable result.
raster_ct2env was replaced by
ct2env(). This new function allows to calculae that the metric the user wants using the
fun parametre. In addition, the user can select the output of the object between
The pipe operator
%>% was included in order to create chains of actions using the synoptReg functions and other auxiliar functions from other packages.
New datasets were included:
z500, mean sea level pressure and 500 hPa geopotential height, respectively. both datasets were retrived from the NCEP/NCAR reanalysis I using the
download_ncep() function. In addition, we updated the precipitation dataset structure, called
download_ncep()was developed in order two download reanalysis data form NCEP/NCAR.
classjenis underdeveolopement but can be run.
raster_clasfunction in the same way as in the