c(person("Emanuele","Eccel", role=c("aut","cre"), email="emanuele.eccel@fmach.it"),
person("Emanuele","Cordano", role=c("aut")),
person("Giambattista","Toller", role=c("aut")),
person(family="Fondazione Edmund Mach", role=c("cph")))
Emanuele Eccel [aut, cre],
Emanuele Cordano [aut],
Giambattista Toller [aut],
Fondazione Edmund Mach [cph]

Climate Downscaling Library for Daily Climate Model Output
c(person("Alex Cannon", role = "aut", email = "acannon@uvic.ca"),
person("James Hiebert", role = c("aut", "cre"), email = "hiebert@uvic.ca"),
person("Arelia Werner", role = "aut", email = "wernera@uvic.ca"),
person("Steven Sobie", role = "aut", email = "ssobie@uvic.ca"))
PCICt, udunits2, ncdf4, fields, foreach, seas, abind, stats
A suite of routines for downscaling coarse scale global
climate model (GCM) output to a fine spatial resolution. Includes
Bias-Corrected Spatial Downscaling (BCDS), Constructed Analogues
(CA), Climate Imprint (CI), and Bias Correction/Constructed
Analogues with Quantile mapping reordering (BCCAQ). Developed by
the the Pacific Climate Impacts Consortium (PCIC), Victoria,
British Columbia, Canada.
Alex Cannon [aut],
James Hiebert [aut, cre],
Arelia Werner [aut],
Steven Sobie [aut]

c(person("Nic Annau", role = "aut", email = "nannau@uvic.ca"),
person("Alex Cannon", role = "aut", email = "acannon@uvic.ca"),
person("James Hiebert", role = "aut", email = "hiebert@uvic.ca"),
person("Cairo Sanders", role = "ctb", email = "cairosanders@uvic.ca"),
person("Arelia Schoeneberg", role = "aut", email = "wernera@uvic.ca"),
person("Stephen Sobie", role = "aut", email = "ssobie@uvic.ca"),
person("Lee Zeman", role = c("aut","cre"), email = "lzeman@uvic.ca"))
Nic Annau [aut],
Alex Cannon [aut],
James Hiebert [aut],
Cairo Sanders [ctb],
Arelia Schoeneberg [aut],
Stephen Sobie [aut],
Lee Zeman [aut, cre]

Fergus Reig-Gracia [aut, cre], Sergio M. Vicente-Serrano [aut], Fernando Dominguez-Castro [aut], Joaquin Bedia-Jiménez [ctb]
R (>= 2.10), SPEI, chron, weathermetrics
Computes 138 standard climate indices at monthly, seasonal and annual resolution. These indices were selected, based on their direct and significant impacts on target sectors, after a thorough review of the literature in the field of extreme weather events and natural hazards. Overall, the selected indices characterize different aspects of the frequency, intensity and duration of extreme events, and are derived from a broad set of climatic variables, including surface air temperature, precipitation, relative humidity, wind speed, cloudiness, solar radiation, and snow cover. The 138 indices have been classified as follow: Temperature based indices (42), Precipitation based indices (22), Bioclimatic indices (21), Wind-based indices (5), Aridity/ continentality indices (10), Snow-based indices (13), Cloud/radiation based indices (6), Drought indices (8), Fire indices (5), Tourism indices (5).
'ClimInd.R' 'ClimIndNews.R' 'custom_functions.R' 'data.R'
'ffdi.R' 'fwi1D.R' 'penman_fao_dia.R' 'nesterovIndex.R'
'macArthurFFDI.R' 'kbdindex.R' 'indecis_indices_functions.R'
'indecis_indices.R' 'indecis.R'