Chen et al., 2022 - Google Patents
Large discrepancy between observed and modeled wintertime tropospheric NO2 variabilities due to COVID-19 controls in ChinaChen et al., 2022
View PDF- Document ID
- 14470553109054151166
- Author
- Chen J
- Jiang Z
- Li R
- Liao C
- Miyazaki K
- Jones D
- Publication year
- Publication venue
- Environmental Research Letters
External Links
Snippet
Recent studies demonstrated the difficulties to explain observed tropospheric nitrogen dioxide (NO 2) variabilities over the United States and Europe, but thorough analysis for the impacts on tropospheric NO 2 in China is still lacking. Here we provide a comparative …
- JCXJVPUVTGWSNB-UHFFFAOYSA-N nitrogen dioxide O=[N]=O 0 title abstract description 40
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Liu et al. | Recent reduction in NOx emissions over China: synthesis of satellite observations and emission inventories | |
Wyser et al. | Warmer climate projections in EC-Earth3-Veg: the role of changes in the greenhouse gas concentrations from CMIP5 to CMIP6 | |
Liousse et al. | Explosive growth in African combustion emissions from 2005 to 2030 | |
Zhao et al. | Decadal-scale trends in regional aerosol particle properties and their linkage to emission changes | |
Philip et al. | Anthropogenic fugitive, combustion and industrial dust is a significant, underrepresented fine particulate matter source in global atmospheric models | |
Wang et al. | Impact of aerosol–meteorology interactions on fine particle pollution during China’s severe haze episode in January 2013 | |
Hou et al. | Impacts of transboundary air pollution and local emissions on PM2. 5 pollution in the Pearl River Delta region of China and the public health, and the policy implications | |
Zhang et al. | Source attribution of particulate matter pollution over North China with the adjoint method | |
Harrington et al. | Changing population dynamics and uneven temperature emergence combine to exacerbate regional exposure to heat extremes under 1.5 C and 2 C of warming | |
Streets et al. | On the future of carbonaceous aerosol emissions | |
King et al. | Attribution of the record high Central England temperature of 2014 to anthropogenic influences | |
Yin et al. | Unprecedented decline in summertime surface ozone over eastern China in 2020 comparably attributable to anthropogenic emission reductions and meteorology | |
Lehmann et al. | Future changes in extratropical storm tracks and baroclinicity under climate change | |
Zhao et al. | Environmental effects of the recent emission changes in China: implications for particulate matter pollution and soil acidification | |
Itahashi et al. | Inverse estimation of NOx emissions over China and India 2005–2016: contrasting recent trends and future perspectives | |
Lei et al. | Country-scale trends in air pollution and fossil fuel CO2 emissions during 2001–2018: confronting the roles of national policies and economic growth | |
Quadros et al. | Regional sensitivities of air quality and human health impacts to aviation emissions | |
Saikawa et al. | Uncertainties in emissions estimates of greenhouse gases and air pollutants in India and their impacts on regional air quality | |
Budhavant et al. | Radiocarbon-based source apportionment of elemental carbon aerosols at two South Asian receptor observatories over a full annual cycle | |
Palmer et al. | Extending CMIP5 projections of global mean temperature change and sea level rise due to thermal expansion using a physically-based emulator | |
Potts et al. | Diagnosing air quality changes in the UK during the COVID-19 lockdown using TROPOMI and GEOS-Chem | |
Yin et al. | Meteorological conditions contributed to changes in dominant patterns of summer ozone pollution in Eastern China | |
Gilmore et al. | Temporal and spatial variability in the aviation NOx-related O3 impact | |
Chen et al. | Large discrepancy between observed and modeled wintertime tropospheric NO2 variabilities due to COVID-19 controls in China | |
Van Oijen et al. | A novel probabilistic risk analysis to determine the vulnerability of ecosystems to extreme climatic events |