Analysis of observations-historical period
observations.RdAutomatically process the observational period and compute user-defined indicators
Usage
observations(
data,
uppert = NULL,
lowert = NULL,
season,
consecutive = F,
frequency = F,
trends = F,
duration = "max"
)Arguments
- data
output of load_data
- uppert
numeric of length=1, upper threshold
- lowert
numeric of length=1, lower threshold
- season
list, containing seasons to select. For example, list(1:6, 7:12)
- consecutive
logical, to use in conjunction with lowert or uppert
- frequency
logical value. This parameter is relevant only when 'consecutive' is set to TRUE and 'duration' is not set to "max". For instance, if you want to determine the count of heatwaves, defined as the number of days with Tmax (maximum temperature) exceeding 35°C for a minimum of 3 consecutive days, set 'uppert' to 35, 'consecutive' to TRUE, 'duration' to 3, and 'frequency' to TRUE.
- trends
logical value. Whether linear regression should be applied to assess yearly increase
- duration
A parameter that can be set to either "max" or a specific number. It is relevant only when 'consecutive' is set to TRUE. For instance, to calculate the count of consecutive days with Tmax (maximum temperature) above 35°C, lasting for more than 3 days, you can set 'uppert' to 35, 'consecutive' to TRUE, and 'duration' to 3.