Tudela_DW

Daily weather data (2000-2010) from Tudela, Spain, recorded at the Tudela-Montes de Cierzo
automatic weather station by Gobierno de Navarra.

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

Tudela_DW function

A data frame with 4018 observations on the following 11 variables.<dl>
 <dt><code>Year</code></dt>
<dd>a numeric vector, the observation year</dd> <dt><code>Month</code></dt>
<dd>a numeric vector, the observation month</dd> <dt><code>Day</code></dt>
<dd>a numeric vector, the observation day</dd> <dt><code>Tmax</code></dt>
<dd>a numeric vector, daily maximum temperature in Celsius</dd> <dt><code>Tmin</code></dt>
<dd>a numeric vector, daily minimum temperature in Celsius</dd> <dt><code>RHmax</code></dt>
<dd>a numeric vector, daily maximum relative humidity in %</dd> <dt><code>RHmin</code></dt>
<dd>a numeric vector, daily minimum relative humidity in %</dd> <dt><code>Prec</code></dt>
<dd>a numeric vector, daily rainfall in mm</dd> <dt><code>u2med</code></dt>
<dd>a numeric vector, daily mean wind speed in m s-1</dd> <dt><code>u2max</code></dt>
<dd>a numeric vector, daily maximum wind speed in m s-1</dd> <dt><code>Rad</code></dt>
<dd>a numeric vector, daily solar radiation in MJ m-2 day-1</dd> 
</dl>

Format

Daily weather data from Tudela, Spain — Tudela_DW

A data frame with 4018 observations on the following 11 variables.<dl>
 <dt><code>Year</code></dt>
<dd>a numeric vector, the observation year</dd>

 <dt><code>Month</code></dt>
<dd>a numeric vector, the observation month</dd>

 <dt><code>Day</code></dt>
<dd>a numeric vector, the observation day</dd>

 <dt><code>Tmax</code></dt>
<dd>a numeric vector, daily maximum temperature in Celsius</dd>

 <dt><code>Tmin</code></dt>
<dd>a numeric vector, daily minimum temperature in Celsius</dd>

 <dt><code>RHmax</code></dt>
<dd>a numeric vector, daily maximum relative humidity in %</dd>

 <dt><code>RHmin</code></dt>
<dd>a numeric vector, daily minimum relative humidity in %</dd>

 <dt><code>Prec</code></dt>
<dd>a numeric vector, daily rainfall in mm</dd>

 <dt><code>u2med</code></dt>
<dd>a numeric vector, daily mean wind speed in m s-1</dd>

 <dt><code>u2max</code></dt>
<dd>a numeric vector, daily maximum wind speed in m s-1</dd>

 <dt><code>Rad</code></dt>
<dd>a numeric vector, daily solar radiation in MJ m-2 day-1</dd>

 
</dl>

Tudela_DW: Daily weather data from Tudela, Spain

Description

Arguments

Format