A database of 10 min average measurements of solar radiation and meteorological variables in Ostrava, Czech Republic

Abstract

Abstract.A database containing 10 min means of solar irradiance measured on a horizontal plane in several ultraviolet and visible bands from July 2014 to December 2016 at three stations in the area of the city of Ostrava (Czech Republic) is presented. The database contains time series of 10 min average irradiances or photosynthetic photon flux densities measured in the following spectral bands: 280-315 nm (UVB); 315-380 nm (UVA); and 400-700 nm (photosynthetically active radiation, PAR); 510-700 nm; 600-700 nm; 610-680 nm; 690-780 nm; 400-1100 nm. A series of meteorological variables including relative air humidity and air temperature at surface is also provided at the same 10 min time step at all three stations, and precipitation is provided for two stations. Air pressure, wind speed, wind direction, and concentrations of air pollutants PM 10 , SO 2 , NO x , NO, NO 2 were measured at the 1 h time step at the fourth station owned by the Public Health Institute of Ostrava. The details of the experimental sites and instruments used for the measurements are given. Special attention is given to the data quality, and the original approach to the data quality which was established is described in detail. About 130 000 records for each of the three stations are available in the database. This database offers a unique ensemble of variables having a high temporal resolution and it is a reliable source for radiation in relation to environment and vegetation in highly polluted areas of industrial cities in the of northern mid-latitudes. The database has been placed on the PANGAEA repository (https://doi.org/10.1594/PANGAEA.879722) and contains individual data files for each station.

Impact of season, cloud cover, and air pollution on different spectral regions of ultraviolet and visible incident solar radiation at the surface

“…Details regarding the data collection methods were published in previous articles (Opálková et al, 2018;Opálková et al, 2019), so only elementary information is provided in this section.…”

“…This article relates to already published articles (Opálková et al, 2018;Opálková et al, 2019) which describe in detail the methods of radiation measurements, principles of data quality checking, and an evaluation of the effect of air pollutants on selected ratios. A database used for all the analyses has also been published (Opálková et al, 2017).…”

Assessment of five different methods for the estimation of surface photosynthetically active radiation from satellite imagery at three sites – application to the monitoring of indoor soft fruit crops in southern UK

“…The previous version of HelioClim-3 (version 4) uses a fixed climatology of the atmospheric turbidity as input to the ESRA clear-sky model (Rigollier et al, 2000;Remund et al, 2003). This limitation has been overcome in version 5 built on (i) the approximation of Oumbe et al (2014) wherein the global or direct SSI under all-sky conditions is the product of the cloud-free SSI and a factor that is a function of the solar zenithal angle, cloud properties and ground reflective properties, (ii) the recent CAMS Mc-Clear clear-sky model, and (iii) the recent results on aerosol properties, and total column water vapour and ozone content produced by the CAMS that are input to McClear. At the origins of McClear, these high quality atmospheric variables were injected into radiative transfer models (RTM) to reach the best accuracy of the components of the radiation in cloud-free conditions.…”

“…Consequently, the strategy adopted in the development of McClear was to reduce the number of runs by using pre-computed abaci (also known as look-up tables) while conserving a satisfactory level of accuracy. The more recent Heliosat-4 method (Qu et al, 2017) which generates the CAMS-Rad dataset is entirely based on the approximation of Oumbe et al (2014). The cloud-free SSI is given by the McClear model with CAMS atmospheric constituents as inputs (Lefèvre et al, 2013;Gschwind et al, 2019).…”

Inferential based statistical indicators for the assessment of solar resource data

“…Three variables were considered appropriate for the analysis of this study. These variables, global horizontal irradiance (W/m 2 ), diffuse irradiance (W/m 2 ) and temperature ( C o ), have been identified in several studies (Iqbal, 2012;Sung et al, 2015;An et al, 2017;Opálková et al, 2018) as important measures in solar radiation assessments, hence the decision to select them. Modelled data was collated using Meteonorm, a software package that uses trade-restricted algorithms to simulate solar resource data subject to specific settings (Remund et al, 2014).…”