Gridded global surface ozone metrics for atmospheric chemistry model evaluation
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 t...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2016-02-01
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| Series: | Earth System Science Data |
| Online Access: | http://www.earth-syst-sci-data.net/8/41/2016/essd-8-41-2016.pdf |
| _version_ | 1818899776552304640 |
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| author | 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 |
| author_facet | 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 |
| author_sort | E. D. Sofen |
| collection | DOAJ |
| description | 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:<a href="http://dx.doi.org/10.5285/08fbe63d-fa6d-4a7a-b952-5932e3ab0452" target="_blank">10.5285/08fbe63d-fa6d-4a7a-b952-5932e3ab0452</a>). 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. |
| first_indexed | 2024-12-19T19:53:20Z |
| format | Article |
| id | doaj.art-ae395639f31344aa8e6a191506740294 |
| institution | Directory Open Access Journal |
| issn | 1866-3508 1866-3516 |
| language | English |
| last_indexed | 2024-12-19T19:53:20Z |
| publishDate | 2016-02-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Earth System Science Data |
| spelling | doaj.art-ae395639f31344aa8e6a1915067402942022-12-21T20:07:54ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162016-02-0181415910.5194/essd-8-41-2016Gridded global surface ozone metrics for atmospheric chemistry model evaluationE. D. Sofen0D. Bowdalo1M. J. Evans2F. Apadula3P. Bonasoni4M. Cupeiro5R. Ellul6I. E. Galbally7R. Girgzdiene8S. Luppo9M. Mimouni10A. C. Nahas11M. Saliba12K. Tørseth13Wolfson Atmospheric Chemistry Laboratories, Department of Chemistry, University of York, Heslington, York, YO10 5DD, UKWolfson Atmospheric Chemistry Laboratories, Department of Chemistry, University of York, Heslington, York, YO10 5DD, UKWolfson Atmospheric Chemistry Laboratories, Department of Chemistry, University of York, Heslington, York, YO10 5DD, UKRicerca sul Sistema Energetico – RSE, via R. Rubattino 54, 20134, Milan, ItalyInstitute of Atmospheric Sciences and Climate, Italian National Research Council (ISAC-CNR), Bologna, ItalyServicio Meteorológico Nacional, Ushuaia GAW Station, Tierra del Fuego, ArgentinaDepartment of Geosciences, University of Malta, Msida MSD 2080, MaltaCSIRO Oceans and Atmosphere Flagship, Aspendale Vic. 3195, AustraliaState Research Institute Center for Physical Sciences and Technology, Savanorių ave. 231, 02300 Vilnius, LithuaniaUniversidad Nacional de Tierra del Fuego, ICPA, Tierra del Fuego, ArgentinaAlgerian Meteorology Service, P.O. Box 31, Tamanrasset, AlgeriaGlobal Atmosphere Watch (GAW) Station Bukit Kototabang, The Indonesian Agency for Meteorological, Climatological, and Geophysics (BMKG), Jl. Raya Bukittinggi – Medan Km. 17 Palupuh, Agam, West Sumatera, IndonesiaDepartment of Geosciences, University of Malta, Msida MSD 2080, MaltaNILU – Norwegian Institute for Air Research, P.O. Box 100, 2027 Kjeller, NorwayThe 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:<a href="http://dx.doi.org/10.5285/08fbe63d-fa6d-4a7a-b952-5932e3ab0452" target="_blank">10.5285/08fbe63d-fa6d-4a7a-b952-5932e3ab0452</a>). 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.http://www.earth-syst-sci-data.net/8/41/2016/essd-8-41-2016.pdf |
| spellingShingle | 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 Gridded global surface ozone metrics for atmospheric chemistry model evaluation Earth System Science Data |
| title | Gridded global surface ozone metrics for atmospheric chemistry model evaluation |
| title_full | Gridded global surface ozone metrics for atmospheric chemistry model evaluation |
| title_fullStr | Gridded global surface ozone metrics for atmospheric chemistry model evaluation |
| title_full_unstemmed | Gridded global surface ozone metrics for atmospheric chemistry model evaluation |
| title_short | Gridded global surface ozone metrics for atmospheric chemistry model evaluation |
| title_sort | gridded global surface ozone metrics for atmospheric chemistry model evaluation |
| url | http://www.earth-syst-sci-data.net/8/41/2016/essd-8-41-2016.pdf |
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