Supplementary Materials: Accuracy assessment of WRF model in the context of air quality modeling in complex terrain

aDepartment of Environmental Management and Protection; Faculty of Geo-data Science, Geodesy and Environmental Engineering; AGH University of Science and Technology; Mickiewicza 30 Av, 30-059 Krakow contact: rzeszut@agh.edu.pl.

1. Resolution

1.1. Wind rose

1.2. Statistical measures

1.3. MCM - surface

1.4. MCM - vertical profile

2. Location of the station

2.1. Wind rose

2.2. Graphical comparison of predicted with observed data

2.2.1. Wind speed

MC-LVIA

LV-WCA

LV-SIA

TR-RTIA

2.2.2. Wind Direction

MC-LVIA

LV-WCA

LV-SIA

TR-RTIA

2.2.3. Temperature

MC-LVIA

LV-WCA

LV-SIA

TR-RTIA

2.3. Model performace statistics

3. Vertical Profile

Data only for a resolution of 1 km

3.1. Wind rose

3.1.1. MC

3.1.2. LV

3.1.3. TR

3.2. Graphical comparison of predicted with observed data

3.2.1. Wind speed

MC

LV

TR

3.2.2. Wind direction

MC

LV

TR

3.2.3. Temperature

MC

LV

TR

4. Complementary analyses

In this chapter, there are several figures that are analogous to the figures in the manuscript. The results presented are for a limited sample of data for the MC and LV experiments. Data selection was performed based on data collected from the TR experiment. The selection concerned the month, day and hour. As a result, comparable data sets were obtained. Please note that the data from the experiments are from different years.

(Fig. 3 in article) Graphical representation of the MCM values with confidence intervals at the 95% confidence level of the WRF model in the comparison of WRF accuracy evaluation for different grid resolutions (WRF1 – WRF4), MED experiments and meteorological parameters (wind speed, wind direction, temperature) for synoptic stations (ISD)

(Fig. 4. in article) Graphical representation of the MCM values with confidence intervals at the 95% confidence level of the WRF model in the comparison of WRF accuracy evaluation for different grid resolutions (WRF1 – WRF4), MED experiments and meteorological parameters (wind speed, wind direction, temperature) for on-site meteorological stations (ONS).

(Fig. 5. in article) Graficzne przedstawienie wartości miar statystycznych (MB, MGE, RMSE) oceny modelu WRF ze względu parametr meteorologicznych, eksperyment, oraz lokalizację punktu pomiarowego wewnątrz domeny obliczeniowej.

5. Animation

Graphical representation of the vertical temperature profiles for the TR experiment.