gridded global surface ozone metrics for atmospheric chemistry model evaluation
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ID: 253497
2016
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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.
| Reference Key |
sofen2016earthgridded
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|---|---|
| Authors | ;E. D. Sofen;D. Bowdalo;M. J. Evans;F. Apadula;P. Bonasoni;M. Cupeiro;R. Ellul;I. E. Galbally;R. Girgzdiene;S. Luppo;M. Mimouni;A. C. Nahas;M. Saliba;K. Tørseth |
| Journal | usak university journal of engineering sciences |
| Year | 2016 |
| DOI |
10.5194/essd-8-41-2016
|
| URL | |
| Keywords |
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