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

In fruclimadapt: Evaluation Tools for Assessing Climate Adaptation of Fruit Tree Species

Estimation of the hourly wind speed from daily mean data

Description

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.

Usage

hourly_windspeed(climdata)

Arguments

climdata

a dataframe with daily wind speed data. Required columns are Year, Month, Day and u2med. u2max is an optional data column.

Value

dataframe with the columns Date, Year, Month, Day, DOY, Hour and u2 (hourly wind speed, m s-1).

Author(s)

Carlos Miranda, [e-mail]

References

Guo Z, Chang C, Wang R, 2016. A novel method to downscale daily wind statistics to hourly wind data for wind erosion modelling. In: Bian F., Xie Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2015. Communications in Computer and Information Science, vol 569. Springer, Berlin, Heidelberg

Examples

# Generate hourly wind speed for the example dataset
library(magrittr)
library(dplyr)
library(lubridate)
Tudela_Hu2 <- hourly_windspeed(Tudela_DW)

fruclimadapt documentation built on Feb. 16, 2023, 10:14 p.m.