Disentangling physical and dynamical drivers of the 2016/17 record-breaking warm winter in China
Bibliographic Data
| ID | 15552201 |
|---|---|
| Authors | Tuantuan Zhang (0000-0002-1635-0625, Sun Yat-sen University), Yi Deng (0000-0002-1765-5244, Georgia Institute of Technology), Junwen Chen (0000-0003-4870-750X, corresponding author), Song Yang (0000-0002-6712-3991, Sun Yat-sen University), Peng Gao (0000-0002-5354-3944, Liupanshui Normal University), Henian Zhang (Georgia Institute of Technology) |
| Year | 2022 |
| Volume | 17 |
| Issue | 7 |
| Pages | 074024-074024 |
| Publication date | 2022-06-17 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Research Letters (JOURNAL) |
| Journal identifiers | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Publisher | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/ac79c1 |
| OpenAlex | W4283069765 |
| Language | EN |
| Citations received | 4 |
| References cited | 72 |
Understanding the physical and dynamical origin of regional climate extremes remains a major challenge in our effort to anticipate the occurrences and mitigate the adverse impacts of these extremes. China was hit by a record-breaking hot winter in 2016/17 with remarkable surface warming over the northern and southeastern regions. Here we made a quantitative attribution of this 2016/17 winter’s surface temperature anomalies utilizing an updated version of the coupled atmosphere-surface climate feedback response analysis method (CFRAM), that recently incorporates the effect of aerosols and more species of trace gases (CFRAM-A). The CFRAM-A analysis reveals that the overall warming pattern may be largely attributed to the effects of anomalous water vapor, atmospheric dynamics, and aerosols, followed by anomalies of surface albedo, clouds, solar irradiance, ozone, and carbon dioxide. The effect of methane turns out to be negligible. Anomalies in surface dynamics provides an overall cooling effect, compensating the warming associated with other processes to some extent. Among the three major positive contributors, effects of water vapor and atmospheric dynamics prevail over both northern and southeastern China while the impact of anthropogenic aerosols appears much more pronounced over southeastern China, likely due to the implementation of highly effective emission reduction policies in China since 2013. The CFRAM-A thus provides an efficient, model-free approach for quantitatively understanding sources of regional temperature extremes and for assessing the impacts of environmental policies regulating anthropogenic emissions of aerosols and atmospheric trace gases
Albedo (alchemy · Atmosphere (unit · Atmospheric sciences · Climate change · Climate model · Climatology · Geography · Greenhouse gas · Meteorology · Trace gas · Water vapor · Atmospheric chemistry and aerosols · Climate variability and models · Environmental Science · Meteorological Phenomena and Simulations · Geology · Oceanography
Extreme warm spells may facilitate the new temperature record in 2023
Quantitative attribution of 2016 extreme arctic warmth
Radiation as the dominant cause of high-temperature extremes on the eastern Tibetan Plateau
Hotspots of summer heatwaves in East Asia and their associated radiative and dynamical forcing
Radiative forcing by long‐lived greenhouse gases
Trends in China's anthropogenic emissions since 2010 as the consequence of clean air actions
Robust Responses of the Hydrological Cycle to Global Warming
Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization
Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China
Drivers of improved PM 2.5 air quality in China from 2013 to 2017
The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (Merra-2)
Climate effects of China’s efforts to improve its air quality
Increase of surface solar irradiance across East China related to changes in aerosol properties during the past decade
Climate effects of stringent air pollution controls mitigate future maize losses in China
Evolution of the East Asian winter land temperature trends during 1961–2018
Aerosol climate effects and air quality impacts from 1980 to 2030
Use of models in detection and attribution of climate change
Detection and attribution of climate change
| Unique citing works | 4 |
|---|---|
| Citations per year | 1,33 |
| Citation span | 2023 - 2025 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 4 |