Arctic Tropospheric Ozone Trends DOI Open Access
Kathy S. Law, J. Hjorth, Jakob Pernov

et al.

Authorea (Authorea), Journal Year: 2023, Volume and Issue: unknown

Published: Feb. 20, 2023

Trends in tropospheric ozone, an important air pollutant and short-lived climate forcer (SLCF), are estimated using available surface ozonesonde profile data for 1993-2019. Using a coherent methodology, observed trends compared to modeled (1995-2015) from the Arctic Monitoring Assessment Programme SLCF 2021 assessment. Statistically significant increases ozone at coastal sites, notably during winter, concurrent decreasing carbon monoxide, generally captured by multi-model median (MMM) trends. Wintertime also free troposphere most but tend be overestimated MMMs. Springtime northern Alaska not simulated while negative springtime Scandinavia always reproduced. Possible reasons changes model behavior discussed, including precursor emissions, changing sinks, variability large-scale meteorology.

Language: Английский

Impact of Fossil Fuel Combustion Emissions and Wildfires on Air Quality of Urban Environment in a Western Siberian Industrial City DOI

D. A. Khoziainova,

Olga Popovicheva, M. A. Chichaeva

et al.

Izvestiya Atmospheric and Oceanic Physics, Journal Year: 2024, Volume and Issue: 60(5), P. 544 - 556

Published: Oct. 1, 2024

Language: Английский

Citations

0

How Skilful Are Cloud Cover Products in Representing Observed Cloudiness in Québec? DOI Creative Commons
Rashed Mahmood, James King, Biljana Music

et al.

ATMOSPHERE-OCEAN, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 12

Published: Nov. 14, 2024

In this study, we performed, for the first time, a detailed analysis of cloudiness in Québec using station based observations and evaluated trustworthiness various satellite reanalysis cloud cover products. We found only 12 stations with observational time series long enough providing robust due to issues related observing methods recording information during 1990s. Our results showed that can be fairly cloudy throughout year annual mean fraction ranging between 0.5 0.7 autumn being cloudiest season at most locations. also significantly increasing trend winter over 1982–2012 (∼2–6% per decade depending on location). Among products product (i.e. AVHRR) performed best representing observed including wintertime trend. Two ERA5 NARR) well indicated by high correlations, relatively lower biases smaller root square errors. However, did not capture seasonal trends. All larger except JRA-25 product. During warmer months, however, largest followed MERRA-2 had correlation means highest errors all seasons. Furthermore, two skill scores, ERA5, AVHRR NARR better than MERRA-2. Based these conclude useful resources (as proxies) along understanding term changes region potentially evaluating regional climate model simulations.

Language: Английский

Citations

0

Present-Day and Future Pm2.5 and O3-Related Global and Regional Premature Mortality in the Evav6.0 Health Impact Assessment Model DOI
Ulaş İm, Susanne E. Bauer, Lise M. Frohn

et al.

SSRN Electronic Journal, Journal Year: 2022, Volume and Issue: unknown

Published: Jan. 1, 2022

Highlights • Present and future global PM 2.5 O 3 -related premature mortality is estimated. The present day estimated to be 5.4 million. Bias correction increases 7.7 Emission reductions alone decreases by up 57% in 2050. Aging population a factor of 2.

Language: Английский

Citations

1

A comparison of carbon monoxide retrievals between the MOPITT satellite and Canadian high-Arctic ground-based NDACC and TCCON FTIR measurements DOI Creative Commons
Ali Jalali, K. A. Walker, Kimberly Strong

et al.

Atmospheric measurement techniques, Journal Year: 2022, Volume and Issue: 15(22), P. 6837 - 6863

Published: Nov. 24, 2022

Abstract. Measurements of Pollution In The Troposphere (MOPITT) is an instrument on NASA's Terra satellite that has measured tropospheric carbon monoxide (CO) from early 2000 to the present day. Validation data instruments like MOPITT often conducted using ground-based measurements ensure continued accuracy space-based instrument's and its scientific results. Previous validation studies generally found a larger bias in poleward 60∘ N. this study, we use 2006 2019 Bruker IFS 125HR Fourier Transform Infrared spectrometer (FTIR) located at Polar Environment Atmospheric Research Laboratory (PEARL) Eureka, Nunavut, Canada, validate version 8 (V8) retrievals. These comparisons utilize mid- near-infrared FTIR made as part Network for Detection Composition Change (NDACC) Total Carbon Column Observing (TCCON), respectively. All retrievals within radius 110 km (1∘) PEARL Ridge 24 h time interval are used study. retrieval products include those (NIR) channel, thermal infrared (TIR) joint product (TIR–NIR) channels. Each channel's detector 4 pixels. We calculated pixel-to-pixel biases each pixel, which were vary based season surface type (land or water). systematic pixel 1 over land than other pixels, can reach up 20 ppb. small-region approximation method find filtering criteria. then apply filters dataset minimize number outliers dataset. sensitivity examined Canadian high Arctic. follow methodologies recommended by NDACC TCCON comparison between total column averaging kernels weight take into account different vertical sensitivities measurements. modified Taylor diagram results water with Our show overall consistency When compared FTIR, NIR have positive 3 %–10 % depending pixel. values negative TIR product, −5 0 %. TIR–NIR differences −4 7 drift (in units yr−1) relative varies product. NIR, drifts vs. smaller NDACC; however, scenario reversed products. Overall, study aims provide detailed

Language: Английский

Citations

1

Arctic Tropospheric Ozone Trends DOI Open Access
Kathy S. Law, J. Hjorth, Jakob Pernov

et al.

Authorea (Authorea), Journal Year: 2023, Volume and Issue: unknown

Published: Feb. 20, 2023

Trends in tropospheric ozone, an important air pollutant and short-lived climate forcer (SLCF), are estimated using available surface ozonesonde profile data for 1993-2019. Using a coherent methodology, observed trends compared to modeled (1995-2015) from the Arctic Monitoring Assessment Programme SLCF 2021 assessment. Statistically significant increases ozone at coastal sites, notably during winter, concurrent decreasing carbon monoxide, generally captured by multi-model median (MMM) trends. Wintertime also free troposphere most but tend be overestimated MMMs. Springtime northern Alaska not simulated while negative springtime Scandinavia always reproduced. Possible reasons changes model behavior discussed, including precursor emissions, changing sinks, variability large-scale meteorology.

Language: Английский

Citations

0