fields, Kendall, lubridate, plotrix, timeDate, stringr,
jsonlite, ggplot2, ggspatial, stats, raster, here, sf, dplyr,
magrittr, httr, tidyhydat, whitebox, datasets

A collection of user-submitted functions to aid in the analysis of hydrological data, particularly for users in Canada. The functions focus on the use of Canadian data sets, and are suited to Canadian hydrology, such as the important cold region hydrological processes and will work with Canadian hydrological models. The functions are grouped into several themes, currently including Statistical hydrology, Basic data manipulations, Visualization, and Spatial hydrology. Functions developed by the Floodnet project are also included. CSHShydRology has been developed with the assistance of the Canadian Society for Hydrological Sciences (CSHS) which is an affiliated society of the Canadian Water Resources Association (CWRA). As of version 1.2.6, functions now fail gracefully when attempting to download data from a url which is unavailable.
fields, Kendall, lubridate, plotrix, timeDate, stringr,
ggplot2, ggspatial, stats, raster, sf, dplyr, magrittr, httr,
tidyhydat, whitebox, datasets

fields, Kendall, lubridate, plotrix, timeDate, stringr,
ggplot2, ggspatial, stats, raster, sf, dplyr, magrittr, httr,
tidyhydat, whitebox, datasets, circular

Climate Services' Indicators Based on Sub-Seasonal to Decadal
Predictions
c(
person("Nuria", "Perez-Zanon", , "nuria.perez@bsc.es", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-8568-3071")),
person("Chou", "Chihchung", ,"chihchung.chou@bsc.es", role = "aut"),
person("Llorenç", "Lledó", , "llorenc.lledo@bsc.es", role = "aut"),
person("González-Reviriego", "Nube", , "nube.gonzalez@bsc.es", role = "ctb"),
person("Marcos", "Raül", , "raul.marcos@bsc.es", role = "ctb"),
person("Palma", "Lluis", , "lluis.palma@bsc.es", role = "ctb"),
person("BSC-CNS", role = "cph"))
Set of generalised tools for the flexible computation of climate related indicators defined by the user. Each method represents a specific mathematical approach which is combined with the possibility to select an arbitrary time period to define the indicator. This enables a wide range of possibilities to tailor the most suitable indicator for each particular climate service application (agriculture, food security, energy, water management…). This package is intended for sub-seasonal, seasonal and decadal climate predictions, but its methods are also applicable to other time-scales, provided the dimensional structure of the input is maintained. Additionally, the outputs of the functions in this package are compatible with 'CSTools'. This package was developed in the context of H2020 MED-GOLD (776467) and S2S4E (776787) projects. Lledó et al. (2019) <doi:10.1016/j.renene.2019.04.135>.
multiApply (>= 2.1.1), s2dv, stats, ClimProjDiags
testthat, CSTools, knitr, markdown, rmarkdown
Nuria Perez-Zanon [aut, cre] (<https://orcid.org/0000-0001-8568-3071>),
Chou Chihchung [aut],
Llorenç Lledó [aut],
González-Reviriego Nube [ctb],
Marcos Raül [ctb],
Palma Lluis [ctb],
BSC-CNS [cph]