hourly_windspeed

This function estimates the hourly wind speed from a
dataset with mean daily wind speeds. Hourly wind speeds
from daily values are computed using the formulas proposed
by Guo et al (2016), using mean daily values (u2med, required)
and maximum ones (u2max, optional). If only mean wind values
are available, the function uses a modified version of the 
Guo formula, so that the maximum values are obtained in 
daytime hours.

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_windspeed function

<dl><dt>climdata</dt>
<dd>a dataframe with daily wind speed data.
Required columns are Year, Month, Day and u2med. u2max
is an optional data column.</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 the hourly wind speed from daily mean data — hourly_windspeed

<dl>

<dt>climdata</dt>
<dd>a dataframe with daily wind speed data.
Required columns are Year, Month, Day and u2med. u2max
is an optional data column.</dd>

</dl>

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

hourly_windspeed: Estimation of the hourly wind speed from daily mean data

Description

Usage

Value

Arguments

Author

References

Examples