An R API to MET Norway's 'Frost' API <https://frost.met.no/index.html>
to retrieve data as data frames. The 'Frost' API, and the underlying data, is
made available by the Norwegian Meteorological Institute (MET Norway). The data
and products are distributed under the
Norwegian License for Open Data 2.0 (NLOD) <https://data.norge.no/nlod/en/2.0>
and Creative Commons 4.0 <https://creativecommons.org/licenses/by/4.0/>.

Functions for Calculating Fit-Robustness of CNA-Solutions
c(
person(given = "Veli-Pekka",
family = "Parkkinen",
role = c("aut", "cre","cph"),
email = "parkkinenv@gmail.com"),
person("Michael", "Baumgartner", role = c("aut", "cph"),
email = "michael.baumgartner@uib.no"),
person("Mathias", "Ambuehl", role = "ctb")
)
Functions for automatically performing
a reanalysis series
on a data set using CNA, and for calculating the fit-robustness
of the resulting models, as described in
Parkkinen and Baumgartner (2021) <doi:10.1177/0049124120986200>.
Veli-Pekka Parkkinen [aut, cre, cph],
Michael Baumgartner [aut, cph],
Mathias Ambuehl [ctb]

c(
person(given = "Veli-Pekka",
family = "Parkkinen",
role = c("aut", "cre", "cph"),
email = "parkkinenv@gmail.com"),
person("Michael", "Baumgartner", role = c("aut", "cph"),
email = "michael.baumgartner@uib.no"),
person("Mathias", "Ambuehl", role = "ctb")
)

Giangiacomo Bravo <giangiacomo.bravo@unito.it>, Lucia Tamburino
<lucia.tamburino@alice.it>.

Evaluation Tools for Assessing Climate Adaptation of Fruit Tree
Species
Climate is a critical component limiting growing range of plant species, which
also determines cultivar adaptation to a region. The evaluation of climate influence on
fruit production is critical for decision-making in the design stage of orchards and
vineyards and in the evaluation of the potential consequences of future climate. Bio-
climatic indices and plant phenology are commonly used to describe the suitability of
climate for growing quality fruit and to provide temporal and spatial information about
regarding ongoing and future changes. 'fruclimadapt' streamlines the assessment of
climate adaptation and the identification of potential risks for grapevines and fruit
trees. Procedures in the package allow to i) downscale daily meteorological variables
to hourly values (Forster et al (2016) <doi:10.5194/gmd-9-2315-2016>),
ii) estimate chilling and forcing heat accumulation (Miranda et al (2019)
<https://ec.europa.eu/eip/agriculture/sites/agri-eip/files/fg30_mp5_phenology_critical_temperatures.pdf>),
iii) estimate plant phenology (Schwartz (2012) <doi:10.1007/978-94-007-6925-0>), iv)
calculate bioclimatic indices to evaluate fruit tree and grapevine adaptation (e.g. Badr
et al (2017) <doi:10.3354/cr01532>), v) estimate the incidence of weather-related disorders
in fruits (e.g. Snyder and de Melo-Abreu (2005, ISBN:92-5-105328-6) and vi)
estimate plant water requirements (Allen et al (1998, ISBN:92-5-104219-5)).