hourly_temps

This function generates hourly temperatures from daily maximum and
minimum values, using the method proposed by Linvill (1990), which also
requires sunset and sunrise calculation for each day in the series.
Sunset and sunrise hours for a location are internally estimated using 
the function solar_times from the latitude and the day of the year (DOY)
using the equations by Spencer (1971) and Almorox et al. (2005).

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/default/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)).

Carlos Miranda

fruclimadapt

Evaluation Tools for Assessing Climate Adaptation of Fruit Tree
Species

hourly_temps function

<dl><dt>climdata</dt>
<dd>a data frame containing the columns Year, Month, Day,
Tmax and Tmin. Data must not contain any gap.</dd>
<dt>latitude</dt>
<dd>the latitude of the site, in decimal degrees.</dd></dl>

Arguments

Carlos Miranda, <a href="/link/carlos.miranda%40unavarra.es?package=fruclimadapt&version=0.4.5" data-mini-rdoc="fruclimadapt::carlos.miranda@unavarra.es">carlos.miranda@unavarra.es</a>

Author

Estimation of hourly temperatures from daily data — hourly_temps

<dl>

<dt>climdata</dt>
<dd>a data frame containing the columns Year, Month, Day,
Tmax and Tmin. Data must not contain any gap.</dd>


<dt>latitude</dt>
<dd>the latitude of the site, in decimal degrees.</dd>

</dl>

Carlos Miranda, <a href='mailto:carlos.miranda@unavarra.es'>carlos.miranda@unavarra.es</a>

hourly_temps: Estimation of hourly temperatures from daily data

Description

Usage

Value

Arguments

Author

References

Examples