MPI: Modelling Performance Indicators

In jobonaf/dartle: Air Quality Model Benchmarking

Description

MPI_bias: MPI for bias

Usage

MPI_bias(obs, mod, pollutant, beta = 2, ...)

MPI_corr_time(obs, mod, pollutant, beta = 2, ...)

MPI_sdev_time(obs, mod, pollutant, beta = 2, ...)

MPI_corr_space(obs, mod, pollutant, beta = 2, ...)

MPI_sdev_space(obs, mod, pollutant, beta = 2, ...)

MPI_perc(obs, mod, pollutant, beta = 2, ...)

Arguments

obs	numeric vector of observed values (yearly averages in MPI_*_space)
mod	numeric vector of modelled values (yearly averages in MPI_*_space)
pollutant	one of "NO2", "O3", "PM10", "PM2.5"
beta	parameter β (default is 2)
...	arguments to be passed to RMS_U_obs in MPI_bias and MPI_*_time, to U_obs_95_year in MPI_*_space, to U_obs_95 in MPI_perc

Value

MPI_bias: Modelling Performance Indicator for the bias, as in eq.26, tab.4, p.27 in Janssen et al., 2017

MPI_corr_time: temporal Modelling Performance Indicator for the correlation, as in eq.27, tab.4, p.27 in Janssen et al., 2017

MPI_sdev_time: temporal Modelling Performance Indicator for the standard deviation, as in eq.28, tab.4, p.27 in Janssen et al., 2017

MPI_corr_space: spatial Modelling Performance Indicator for the correlation, as in eq.29, tab.5, p.27 in Janssen et al., 2017

MPI_sdev_space: spatial Modelling Performance Indicator for the standard deviation, as in eq.30, tab.5, p.27 in Janssen et al., 2017

MPI_perc: Modelling Performance Indicator for high percentile values, as in eq.35, p.35 in Janssen et al., 2017

References

Janssen et al., 2017. "Guidance Document on Modelling Quality Objectives and Benchmarking. Version 2.1"

jobonaf/dartle documentation built on May 29, 2019, 4:52 p.m.