Datasets supporting, ‘Understanding recent tropospheric ozone trends in the context of large internal variability: A new perspective from chemistry-climate model ensembles’
These datasets are the basis for the findings reported in, ‘Understanding recent tropospheric ozone trends in the context of large internal variability: A new perspective from chemistry-climate model ensembles’. The abstract of the manuscript reads as follows: ‘Observational records of meteorolo...
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Dataset |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/1721.1/145676 |
| _version_ | 1826200546824945664 |
|---|---|
| author | Fiore, Arlene M. Hancock, Sarah E. Lamarque, Jean-François Correa, Gustavo P. Chang, Kai-Lan Ru, Muye Cooper, Owen Gaudel, Audrey Polvani, Lorenzo M. Sauvage, Bastien Ziemke, Jerry R. |
| author_facet | Fiore, Arlene M. Hancock, Sarah E. Lamarque, Jean-François Correa, Gustavo P. Chang, Kai-Lan Ru, Muye Cooper, Owen Gaudel, Audrey Polvani, Lorenzo M. Sauvage, Bastien Ziemke, Jerry R. |
| author_sort | Fiore, Arlene M. |
| collection | MIT |
| description | These datasets are the basis for the findings reported in, ‘Understanding recent tropospheric ozone trends in the context of large internal variability: A new perspective from chemistry-climate model ensembles’. The abstract of the manuscript reads as follows:
‘Observational records of meteorological and chemical variables are imprinted by an unknown combination of anthropogenic activity, natural forcings, and internal variability. With a 15-member initial-condition ensemble generated from the CESM2-WACCM6 chemistry-climate model for 1950-2014, we extract signals of anthropogenic (‘forced’) change from the noise of internally arising climate variability on observed tropospheric ozone trends. Positive trends in free tropospheric ozone measured at long-term surface observatories, by commercial aircraft, and retrieved from satellite instruments generally fall within the ensemble range. CESM2-WACCM6 tropospheric ozone trends are also bracketed by those in a larger ensemble constructed from five additional chemistry-climate models. Comparison of the multi-model ensemble with observed tropospheric column ozone trends in the northern tropics implies an underestimate in regional precursor emission growth over recent decades. Positive tropospheric ozone trends clearly emerge from 1950 to 2014, exceeding 0.2 DU yr-1 at 20-40N in all CESM2-WACCM6 ensemble members. Tropospheric ozone observations are often only available for recent decades, and we show that even a two-decade record length is insufficient to eliminate the role of internal variability, which can produce regional tropospheric ozone trends oppositely signed from ensemble mean (forced) changes. By identifying regions and seasons with strong anthropogenic change signals relative to internal variability, initial-condition ensembles can guide future observing systems seeking to detect anthropogenic change. For example, analysis of the CESM2-WACCM6 ensemble reveals year-round upper tropospheric ozone increases from 1995-2014, largest at 30S-40N during boreal summer. Lower tropospheric ozone increases most strongly in the winter hemisphere, and internal variability leads to trends of opposite sign (ensemble overlaps zero) north of 40N during boreal summer. This decoupling of ozone trends in the upper and lower troposphere suggests a growing prominence for tropospheric ozone as a greenhouse gas despite regional efforts to abate warm season ground-level ozone.’ |
| first_indexed | 2024-09-23T11:38:04Z |
| format | Dataset |
| id | mit-1721.1/145676 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T11:38:04Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | mit-1721.1/1456762022-10-04T18:43:47Z Datasets supporting, ‘Understanding recent tropospheric ozone trends in the context of large internal variability: A new perspective from chemistry-climate model ensembles’ Fiore, Arlene M. Hancock, Sarah E. Lamarque, Jean-François Correa, Gustavo P. Chang, Kai-Lan Ru, Muye Cooper, Owen Gaudel, Audrey Polvani, Lorenzo M. Sauvage, Bastien Ziemke, Jerry R. ozone internal variability climate change climate modeling tropospheric chemistry These datasets are the basis for the findings reported in, ‘Understanding recent tropospheric ozone trends in the context of large internal variability: A new perspective from chemistry-climate model ensembles’. The abstract of the manuscript reads as follows: ‘Observational records of meteorological and chemical variables are imprinted by an unknown combination of anthropogenic activity, natural forcings, and internal variability. With a 15-member initial-condition ensemble generated from the CESM2-WACCM6 chemistry-climate model for 1950-2014, we extract signals of anthropogenic (‘forced’) change from the noise of internally arising climate variability on observed tropospheric ozone trends. Positive trends in free tropospheric ozone measured at long-term surface observatories, by commercial aircraft, and retrieved from satellite instruments generally fall within the ensemble range. CESM2-WACCM6 tropospheric ozone trends are also bracketed by those in a larger ensemble constructed from five additional chemistry-climate models. Comparison of the multi-model ensemble with observed tropospheric column ozone trends in the northern tropics implies an underestimate in regional precursor emission growth over recent decades. Positive tropospheric ozone trends clearly emerge from 1950 to 2014, exceeding 0.2 DU yr-1 at 20-40N in all CESM2-WACCM6 ensemble members. Tropospheric ozone observations are often only available for recent decades, and we show that even a two-decade record length is insufficient to eliminate the role of internal variability, which can produce regional tropospheric ozone trends oppositely signed from ensemble mean (forced) changes. By identifying regions and seasons with strong anthropogenic change signals relative to internal variability, initial-condition ensembles can guide future observing systems seeking to detect anthropogenic change. For example, analysis of the CESM2-WACCM6 ensemble reveals year-round upper tropospheric ozone increases from 1995-2014, largest at 30S-40N during boreal summer. Lower tropospheric ozone increases most strongly in the winter hemisphere, and internal variability leads to trends of opposite sign (ensemble overlaps zero) north of 40N during boreal summer. This decoupling of ozone trends in the upper and lower troposphere suggests a growing prominence for tropospheric ozone as a greenhouse gas despite regional efforts to abate warm season ground-level ozone.’ 2022-10-04T18:43:45Z 2022-10-04T18:43:45Z 2022-10 Dataset https://hdl.handle.net/1721.1/145676 Attribution 3.0 United States http://creativecommons.org/licenses/by/3.0/us/ application/zip |
| spellingShingle | ozone internal variability climate change climate modeling tropospheric chemistry Fiore, Arlene M. Hancock, Sarah E. Lamarque, Jean-François Correa, Gustavo P. Chang, Kai-Lan Ru, Muye Cooper, Owen Gaudel, Audrey Polvani, Lorenzo M. Sauvage, Bastien Ziemke, Jerry R. Datasets supporting, ‘Understanding recent tropospheric ozone trends in the context of large internal variability: A new perspective from chemistry-climate model ensembles’ |
| title | Datasets supporting, ‘Understanding recent tropospheric ozone trends in the context of large internal variability: A new perspective from chemistry-climate model ensembles’ |
| title_full | Datasets supporting, ‘Understanding recent tropospheric ozone trends in the context of large internal variability: A new perspective from chemistry-climate model ensembles’ |
| title_fullStr | Datasets supporting, ‘Understanding recent tropospheric ozone trends in the context of large internal variability: A new perspective from chemistry-climate model ensembles’ |
| title_full_unstemmed | Datasets supporting, ‘Understanding recent tropospheric ozone trends in the context of large internal variability: A new perspective from chemistry-climate model ensembles’ |
| title_short | Datasets supporting, ‘Understanding recent tropospheric ozone trends in the context of large internal variability: A new perspective from chemistry-climate model ensembles’ |
| title_sort | datasets supporting understanding recent tropospheric ozone trends in the context of large internal variability a new perspective from chemistry climate model ensembles |
| topic | ozone internal variability climate change climate modeling tropospheric chemistry |
| url | https://hdl.handle.net/1721.1/145676 |
| work_keys_str_mv | AT fiorearlenem datasetssupportingunderstandingrecenttroposphericozonetrendsinthecontextoflargeinternalvariabilityanewperspectivefromchemistryclimatemodelensembles AT hancocksarahe datasetssupportingunderstandingrecenttroposphericozonetrendsinthecontextoflargeinternalvariabilityanewperspectivefromchemistryclimatemodelensembles AT lamarquejeanfrancois datasetssupportingunderstandingrecenttroposphericozonetrendsinthecontextoflargeinternalvariabilityanewperspectivefromchemistryclimatemodelensembles AT correagustavop datasetssupportingunderstandingrecenttroposphericozonetrendsinthecontextoflargeinternalvariabilityanewperspectivefromchemistryclimatemodelensembles AT changkailan datasetssupportingunderstandingrecenttroposphericozonetrendsinthecontextoflargeinternalvariabilityanewperspectivefromchemistryclimatemodelensembles AT rumuye datasetssupportingunderstandingrecenttroposphericozonetrendsinthecontextoflargeinternalvariabilityanewperspectivefromchemistryclimatemodelensembles AT cooperowen datasetssupportingunderstandingrecenttroposphericozonetrendsinthecontextoflargeinternalvariabilityanewperspectivefromchemistryclimatemodelensembles AT gaudelaudrey datasetssupportingunderstandingrecenttroposphericozonetrendsinthecontextoflargeinternalvariabilityanewperspectivefromchemistryclimatemodelensembles AT polvanilorenzom datasetssupportingunderstandingrecenttroposphericozonetrendsinthecontextoflargeinternalvariabilityanewperspectivefromchemistryclimatemodelensembles AT sauvagebastien datasetssupportingunderstandingrecenttroposphericozonetrendsinthecontextoflargeinternalvariabilityanewperspectivefromchemistryclimatemodelensembles AT ziemkejerryr datasetssupportingunderstandingrecenttroposphericozonetrendsinthecontextoflargeinternalvariabilityanewperspectivefromchemistryclimatemodelensembles |