Article
Environmental Sciences
Andrew T. White, Arastoo Pour-Biazar, Kevin Doty, Richard T. McNider
Summary: This study tested the assimilation technique of incorporating satellite-derived cloud fields into a meteorological model and made improvements to the technique. The results showed that the refined technique significantly improved model performance, reducing errors in predicted solar irradiance and improving model cloud performance and surface statistics.
ATMOSPHERIC ENVIRONMENT
(2022)
Article
Geosciences, Multidisciplinary
Yueming Cheng, Tie Dai, Junji Cao, Lin Chen, Daisuke Goto, Mayumi Yoshida, Teruyuki Nakajima, Guangyu Shi
Summary: This study presents the first simultaneous assimilation of aerosol optical thicknesses (AOTs) over East Asia from two next-generation geostationary satellites. A new data-control method is proposed to assimilate high quality aerosol products. The results show that the joint assimilation significantly improves aerosol analysis and forecast skill and reduces model biases, particularly in South China.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Environmental Sciences
Seunghee Lee, Ganghan Kim, Myong-In Lee, Yonghan Choi, Chang-Keun Song, Hyeon-Kook Kim
Summary: This study examines the performance of a data assimilation and forecasting system that incorporates satellite and ground-based observations, and finds that data assimilation improves the accuracy of PM10 and PM2.5 forecasts in South Korea. However, the accuracy varies depending on the season and atmospheric circulation patterns. A simple statistical correction can help maintain the forecast skill at a useful level. Overall, data assimilation has a positive impact on pollution forecasting, but there are limitations that need to be addressed.
Article
Geosciences, Multidisciplinary
Seunghee Lee, Seohui Park, Myong-In Lee, Ganghan Kim, Jungho Im, Chang-Keun Song
Summary: This study used a machine learning algorithm to estimate ground-level particulate matter (PM) and applied it to a weather forecasting model. Initializing the model with the new analysis data significantly reduced analysis error and improved forecast skill. The synergistic use of data assimilation and machine learning can maximize the effectiveness of satellite-based air quality forecasts at the ground.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Environmental Sciences
Nadia Colombi, Kazuyuki Miyazaki, Kevin W. Bowman, Jessica L. Neu, Daniel J. Jacob
Summary: This study proposes a new method to infer spatial variability in surface ozone by combining satellite measurements and chemical reanalyses. Results show that the inferred surface ozone in China and the United States has high spatial correlation with independent surface measurements, with regional biases of less than 4 ppb. The spatial pattern of summertime surface ozone in the broader Asia region can largely be explained by a combination of the Asian monsoon circulation and NOx emissions.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Huimin Li, Yang Yang, Jianbing Jin, Hailong Wang, Ke Li, Pinya Wang, Hong Liao
Summary: This study quantifies the impacts of future climate change on ozone (O3) pollution in Asia and predicts near-surface O3 concentrations from 2020 to 2100. The results show that under high-forcing scenarios, O3 concentrations will increase by 5%-20% in South China, Southeast Asia, and South India, and by less than 10% in North China and the Gangetic Plains. Furthermore, the study finds that summertime O3 pollution in eastern China will expand from North China to South China and extend into the cold season in a warmer future.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2023)
Article
Food Science & Technology
Zhaozhong Feng, Yansen Xu, Kazuhiko Kobayashi, Lulu Dai, Tianyi Zhang, Evgenios Agathokleous, Vicent Calatayud, Elena Paoletti, Arideep Mukherjee, Madhoolika Agrawal, Rokjin J. Park, Yujin J. Oak, Xu Yue
Summary: East Asia is highly affected by surface ozone pollution, leading to significant yield losses in crops. China has the highest relative yield loss, followed by Japan and South Korea. The study emphasizes the urgent need for mitigation action and agronomic measures to combat rising ozone levels and protect crop production.
Article
Environmental Sciences
Satoru Chatani, Kyo Kitayama, Syuichi Itahashi, Hitoshi Irie, Hikari Shimadera
Summary: It has been found that precursor emission controls in Japan have not effectively suppressed ambient ozone concentrations. A long-term ozone precursor emission inventory was developed in this study, which revealed that controls on vehicle, point source, and fugitive VOC emissions effectively reduced precursor emissions.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Imane Sekmoudi, Kenza Khomsi, Soufiane Faieq, Laila Idrissi
Summary: Morocco has implemented an air quality network to assess pollutants, but data scarcity led to exploring alternative sources. This study compared PM10 concentrations from Moroccan stations with global and regional CAMSRA data, revealing seasonal dependence and biases in extreme values. Global CAMSRA data showed promise for various applications despite some biases.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Nasimeh Shahrokhishahraki, Peter Julian Rayner, Jeremy David Silver, Steven Thomas, Robyn Schofield
Summary: This study used global datasets to prepare high-resolution emission inventories for Tehran and simulated the concentrations of air pollutants using the CMAQ modeling system. The model showed strong capabilities in estimating concentrations of NO2, CO, and O-3, with good spatial and temporal distribution representation.
ATMOSPHERIC ENVIRONMENT
(2022)
Article
Environmental Sciences
Shidong Fan, Ying Li
Summary: The relationships between oceanic emissions and air chemistry are complex and not fully understood. The impact of marine halogen emissions on the hydroxyl (OH) radical is crucial for regional air chemistry. This study aims to quantify the influence of marine-emitted halogens on OH and analyzes the pathways through which these halogens affect OH. Results show a complex response of OH production rate to marine halogen emissions, with both increases and decreases observed in different regions.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2022)
Article
Engineering, Environmental
Tianyi Xu, Chengxin Zhang, Jingkai Xue, Qihou Hu, Chengzhi Xing, Cheng Liu
Summary: This study presents an improved estimation of NOx emissions using the Geostationary Environmental Monitoring Spectrometer (GEMS) and characterizes the hourly NOx emissions over cities in East Asia. The study highlights the significant diurnal variations in NOx emissions and the role of geostationary satellite observations in informing emission control policies.
ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS
(2023)
Article
Multidisciplinary Sciences
Ke Li, Daniel J. Jacob, Hong Liao, Yulu Qiu, Lu Shen, Shixian Zhai, Kelvin H. Bates, Melissa P. Sulprizio, Shaojie Song, Xiao Lu, Qiang Zhang, Bo Zheng, Yuli Zhang, Jinqiang Zhang, Hyun Chul Lee, Su Keun Kuk
Summary: Surface ozone is a severe air pollution problem in the North China Plain, with highest concentrations in summer driven by fast photochemical production of hydrogen oxide radicals. However, a switch to fast ozone production during winter haze episodes was seen following the COVID-19 lockdown in January 2020, due to a decrease in NOx emissions. Efforts to target NOx emissions have led to an increasing association of high ozone with winter haze events, while VOC emissions have remained constant. Decreasing VOC emissions would prevent the further spread of severe ozone pollution events in the winter-spring season.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Computer Science, Interdisciplinary Applications
Lasse Johansson, Ari Karppinen, Mona Kurppa, Anu Kousa, Jarkko Niemi, Jaakko Kukkonen
Summary: This article presents an operational urban air quality modelling system called ENFUSER, which is evaluated against measured data. ENFUSER combines various dispersion modelling approaches, utilizes data assimilation, and extracts information continuously from online, global open-access sources. The model covers a global range as the geographic datasets used are globally available. Urban dispersion is addressed using a combination of Gaussian puff and Gaussian plume modelling, while long-range transport of pollutants is accounted for with a separate regional model. The data assimilation method adjusts emission factors and regional background values on an hourly basis and supports the use of AQ sensors.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Meteorology & Atmospheric Sciences
Takashi Sekiya, Kazuyuki Miyazaki, Koji Ogochi, Kengo Sudo, Masayuki Takigawa, Henk Eskes, K. Folkert Boersma
Summary: This study conducted a global 0.56 degrees-resolution chemical data assimilation using satellite observations, reducing model errors and improving agreement with assimilated observations. The assimilation resulted in a reduction of surface model errors over major polluted regions, as well as smaller estimated emissions for NOx and ship emissions at the higher resolution.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2021)
Article
Multidisciplinary Sciences
Kazuyuki Miyazaki, Kevin Bowman
Summary: Quantifying the coevolution of greenhouse gases and air quality pollutants can provide insight into underlying anthropogenic processes enabling predictions of their emission trajectories.
NATURE COMMUNICATIONS
(2023)
Article
Environmental Sciences
John T. Sullivan, Ryan M. Stauffer, Anne M. Thompson, Maria A. Tzortziou, Christopher P. Loughner, Carolyn E. Jordan, Joseph A. Santanello
Summary: Coastal areas are densely populated and economically important regions. Protecting the health of humans and ecosystems in these areas and understanding the impacts of environmental stressors like air pollution is crucial.
Article
Meteorology & Atmospheric Sciences
Kaoru Sato, Yoshihiro Tomikawa, Masashi Kohma, Ryosuke Yasui, Dai Koshin, Haruka Okui, Shingo Watanabe, Kazuyuki Miyazaki, Masaki Tsutsumi, Damian Murphy, Chris Meek, Yufang Tian, Manfred Ern, Gerd Baumgarten, Jorge L. Chau, Xinzhao Chu, Richard Collins, Patrick J. Espy, Hiroyuki Hashiguchi, Andrew J. Kavanagh, Ralph Latteck, Franz-Josef Luebken, Marco Milla, Satonori Nozawa, Yasunobu Ogawa, Kazuo Shiokawa, M. Joan Alexander, Takuji Nakamura, William E. Ward
Summary: The ongoing international joint research project, ICSOM, focuses on the interhemispheric coupling phenomenon between winter polar stratosphere warming and summer hemisphere upper mesosphere warming. Through global radar observations, gravitational waves and sudden warming events have been simultaneously observed in multiple boreal winters. The project also includes the development of a new data assimilation system and simulations using a state-of-the-art general circulation model. Initial results suggest that both gravitational waves and large-scale waves play important roles in the interhemispheric coupling mechanism.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Astronomy & Astrophysics
Anne M. Thompson, Debra E. Kollonige, Ryan M. Stauffer, Alexander E. Kotsakis, Nader Abuhassan, Lok N. Lamsal, Robert J. Swap, Donald R. Blake, Amy Townsend-Small, Holli D. Wecht
Summary: The Satellite Coastal and Oceanic Atmospheric Pollution Experiment (SCOAPE) cruise in the Gulf of Mexico was conducted to determine the feasibility of using satellite data to measure air quality in ONG operations. The findings showed that satellite NO2 data can be used to monitor ONG activity, but there are limitations in coastal regions.
EARTH AND SPACE SCIENCE
(2023)
Article
Meteorology & Atmospheric Sciences
Nikolay V. Balashov, Lesley E. Ott, Brad Weir, Sourish Basu, Kenneth J. Davis, Natasha L. Miles, Anne M. Thompson, Ryan M. Stauffer
Summary: This study examines the effects of the 2019 floods in the Midwestern and Southern US on the ability of land ecosystems to absorb CO2. The results show that floods have complex effects on the carbon cycle in different regions, highlighting the need for further research to understand how land ecosystems will respond to climate change.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Multidisciplinary Sciences
Takashi Sekiya, Kazuyuki Miyazaki, Henk Eskes, Kevin Bowman, Kengo Sudo, Yugo Kanaya, Masayuki Takigawa
Summary: Global lockdown measures due to COVID-19 led to significant reductions in air pollutant emissions, including NOx and SO2. This study quantifies the impacts of the lockdown on these emissions and secondary aerosol formation, finding that anthropogenic emissions were reduced by 19 to 25% for NOx and 14 to 20% for SO2 in April 2020. These reductions led to decreases in sulfate and nitrate aerosols over polluted areas, accounting for a substantial portion of observed aerosol optical depth declines and global aerosol radiative forcing. The findings highlight the critical role of secondary aerosol pollutants in understanding the climate impacts of future mitigation measures.
Article
Environmental Sciences
Sachiko Okamoto, Juan Cuesta, Matthias Beekmann, Gaelle Dufour, Maxim Eremenko, Kazuyuki Miyazaki, Cathy Boonne, Hiroshi Tanimoto, Hajime Akimoto
Summary: This study examines the impact of different ozone precursor sources on the daily evolution of ozone pollution outbreaks across Europe in July 2017. The results show that precursor sources from the Mediterranean region, the Balkan Peninsula, Central Europe, and North America all contribute to the ozone outbreaks.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2023)
Article
Geosciences, Multidisciplinary
Jagat S. H. Bisht, Prabir K. Patra, Masayuki Takigawa, Takashi Sekiya, Yugo Kanaya, Naoko Saitoh, Kazuyuki Miyazaki
Summary: Methane (CH4) is the second major greenhouse gas and its increase in the atmosphere raises concerns about sustainability and climate change. A data assimilation system using a local ensemble transform Kalman filter (LETKF) is developed to estimate surface emissions of CH4. The performance of the system is tested and optimized using simulated observations and three covariance inflation methods. The results show that the RTPS covariance inflation method performs better and produces estimates that are consistent with the true values.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2023)
Article
Geosciences, Multidisciplinary
Brendan Byrne, David F. Baker, Sourish Basu, Michael Bertolacci, Kevin W. Bowman, Dustin Carroll, Abhishek Chatterjee, Frederic Chevallier, Philippe Ciais, Noel Cressie, David Crisp, Sean Crowell, Feng Deng, Zhu Deng, Nicholas M. Deutscher, Manvendra K. Dubey, Sha Feng, Omaira E. Garcia, David W. T. Griffith, Benedikt Herkommer, Lei Hu, Andrew R. Jacobson, Rajesh Janardanan, Sujong Jeong, Matthew S. Johnson, Dylan B. A. Jones, Rigel Kivi, Junjie Liu, Zhiqiang Liu, Shamil Maksyutov, John B. Miller, Scot M. Miller, Isamu Morino, Justus Notholt, Tomohiro Oda, Christopher W. O'Dell, Young-Suk Oh, Hirofumi Ohyama, Prabir K. Patra, Helene Peiro, Christof Petri, Sajeev Philip, David F. Pollard, Benjamin Poulter, Marine Remaud, Andrew Schuh, Mahesh K. Sha, Kei Shiomi, Kimberly Strong, Colm Sweeney, Yao Te, Hanqin Tian, Voltaire A. Velazco, Mihalis Vrekoussis, Thorsten Warneke, John R. Worden, Debra Wunch, Yuanzhi Yao, Jeongmin Yun, Andrew Zammit-Mangion, Ning Zeng
Summary: Accurate accounting of CO2 emissions and removals is crucial for emission reduction targets, and this study provides a pilot dataset of net carbon exchange and terrestrial carbon stock changes for different countries to inform carbon budgets. The estimates are based on top-down modeling outputs using OCO-2 data, combined with bottom-up estimates of fossil fuel emissions and lateral carbon fluxes. Increases in terrestrial carbon stocks are observed, particularly in the northern extra tropics, while the tropics show variable stock losses. The study discusses the current state and future developments of top-down monitoring and verification systems for tracking emissions and removals.
EARTH SYSTEM SCIENCE DATA
(2023)
Article
Environmental Sciences
Madison J. Shogrin, Vivienne H. Payne, Susan S. Kulawik, Kazuyuki Miyazaki, Emily V. Fischer
Summary: Satellite measurements were used to evaluate the spatiotemporal variability of peroxy acyl nitrates (PANs) over and around Mexico City. Results showed that the highest concentrations of PANs occurred in the spring, coinciding with peak photochemistry and air stagnation. The outflow pattern of PANs from urban Mexico City was predominantly towards the northeast and the mountains to the south.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2023)
Article
Meteorology & Atmospheric Sciences
Christian A. A. DiMaria, Dylan B. A. Jones, Helen Worden, A. Anthony Bloom, Kevin Bowman, Trissevgeni Stavrakou, Kazuyuki Miyazaki, John Worden, Alex Guenther, Chinmoy Sarkar, Roger Seco, Jeong-Hoo Park, Julio Tota, Eliane Gomes Alves, Valerio Ferracci
Summary: Isoprene is emitted by terrestrial vegetation and has a significant impact on air quality and climate. The Model of Emissions of Gases and Aerosols from Nature (MEGAN) is used to model the variability of isoprene emission rates, which depend on plant species and environmental conditions. Recent experiments have identified uncertainties in MEGAN's temperature response parameterization and standard emission rates, highlighting the need for optimization using observational constraints. Ground-based measurements of isoprene across different ecosystems are crucial for accurately representing isoprene emission temperature sensitivity in global biogeochemical models.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Geosciences, Multidisciplinary
Phuc Thi Minh Ha, Yugo Kanaya, Fumikazu Taketani, Maria Dolores Andres Hernandez, Benjamin Schreiner, Klaus Pfeilsticker, Kengo Sudo
Summary: This study investigates the role of HONO in global atmospheric photochemistry and evaluates its simulations using various observations. It shows that the inclusion of HONO chemistry reduces the model bias and improves the simulations of several atmospheric components. The study also finds that reactions on aerosol and cloud surfaces play significant roles in HONO production.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2023)
Article
Geosciences, Multidisciplinary
John Douros, Henk Eskes, Jos van Geffen, K. Folkert Boersma, Steven Compernolle, Gaia Pinardi, Anne-Marlene Blechschmidt, Vincent-Henri Peuch, Augustin Colette, Pepijn Veefkind
Summary: This article introduces the application of Sentinel-5P TROPOspheric Monitoring Instrument (TROPOMI) and Copernicus Atmosphere Monitoring Service (CAMS) in atmospheric quality forecasting. By comparing the observations from TROPOMI with the forecasts from CAMS, it is found that they agree well in summer but show significant discrepancies in winter. The article also discusses the use of profile information from the CAMS configuration of the ECMWF global model and the replacement of global configuration with regional configuration to improve the TROPOMI data product.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2023)
Article
Environmental Sciences
Viral Shah, Daniel J. Jacob, Ruijun Dang, Lok N. Lamsal, Sarah A. Strode, Stephen D. Steenrod, K. Folkert Boersma, Sebastian D. Eastham, Thibaud M. Fritz, Chelsea Thompson, Jeff Peischl, Ilann Bourgeois, Ilana B. Pollack, Benjamin A. Nault, Ronald C. Cohen, Pedro Campuzano-Jost, Jose L. Jimenez, Simone T. Andersen, Lucy J. Carpenter, Tomas Sherwen, Mat J. Evans
Summary: Satellite-based retrievals of tropospheric NO2 columns are widely used to infer NOx emissions. These retrievals rely on model information for the vertical distribution of NO2. Free tropospheric background above 2 km is important for these retrievals and has a significant impact on tropospheric OH and ozone concentrations.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2023)