Abstract. The concentration of ozone at the Earth's surface is measured at many locations across the globe for the purposes of air quality monitoring and atmospheric chemistry research. We have brought together all publicly available surface ozone observations from online databases from the modern era to build a consistent data set for the evaluation of chemical transport and chemistry-climate (Earth System) models for projects such as the Chemistry-Climate Model Initiative and Aer-Chem-MIP. From a total data set of approximately 6600 sites and 500 million hourly observations from 1971-2015, approximately 2200 sites and 200 million hourly observations pass screening as high-quality sites in regionally representative locations that are appropriate for use in global model evaluation. There is generally good data volume since the start of air quality monitoring networks in 1990 through 2013. Ozone observations are biased heavily toward North America and Europe with sparse coverage over the rest of the globe. This data set is made available for the purposes of model evaluation as a set of gridded metrics intended to describe the distribution of ozone concentrations on monthly and annual timescales. Metrics include the moments of the distribution, percentiles, maximum daily 8-hour average (MDA8), sum of means over 35 ppb (daily maximum 8-h; SOMO35), accumulated ozone exposure above a threshold of 40 ppbv (AOT40), and metrics related to air quality regulatory thresholds. Gridded data sets are stored as netCDF-4 files and are available to download from the British Atmospheric Data Centre (doi:10.5285/08fbe63d-fa6d-4a7a-b952-5932e3ab0452). We provide recommendations to the ozone measurement community regarding improving metadata reporting to simplify ongoing and future efforts in working with ozone data from disparate networks in a consistent manner.
The analysis of data of the ground-level ozone concentration and accumulated ozone exposure over a threshold of 40 ppb (AOT40) in the rural areas of Lithuania is presented. Trends in the annual ozone mean, 95th and 25th percentiles were determined as statistically not significant at Preila and Rugsteliskes sites during the 1994-2004 period. Trends in the ozone concentration and its percentiles in the air masses arriving to Preila station in "polluted" and "unpolluted" sectors have been examined. Statistically significant changes in the ozone annual mean and 25th percentile were found in air masses in both "polluted" and "unpolluted" sectors in the 1988-2002 period. The trend analysis in the ozone monthly mean and percentiles for each month of the year revealed the main changes in the ozone level in both sectors during January-May. Insignificant downward trends in monthly 95th percentile in "unpolluted" sector and upward trends in "polluted" sector were found during summer months. Values of AOT40 for the protection of forests as well as crops and semi-natural vegetation were determined during the 1994-2004 period. The estimated AOT40 values for the protection of forests were lower than the critical level at Lithuanian rural sites but AOT40 values for the protection of crops and semi-natural vegetation were found to be higher than the critical level at both sites.
[1] Data obtained during many years of continuous ozone monitoring at 12 selected EUROTRAC-TOR (Eureka environmental project: European experiment on Transport and transformation of environmentally relevant trace Constituents in the troposphere over Europe, subproject Tropospheric Ozone Research) network stations were analyzed by applying Fourier transformation (FT). FT averaged over the years, autocorrelation functions and FT of such functions were calculated for each site. As expected, strong frequency signals are found for the 1 year and 1 day periods. The relative intensity of the 1 day peak can be correlated with the intensity of local photochemical pollution as represented by a photochemical pollution index. A collective FT spectrum for seven European stations was calculated. This comparison confirms the existence of a common variation in ozone volume fractions with quasi-periods ranging between 7 and 44 days. These frequencies are most probably connected with quasi-cyclic synoptic scale meteorological influences. A comparison of meteorological data from the station Zugspitze showed similar periodicities.
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