8 research outputs found
Phase and Amplitude Changes in Rainfall Annual Cycle Over Global Land Monsoon Regions Under Global Warming
Abstract Land monsoon rainfall has a distinct annual cycle. Under global warming, whether the phase and amplitude of this annual cycle would be changed is still unclear. Here, a global investigation is conducted using 34 CMIP6 and 34 CMIP5 models under a high emission scenario. Seasonal delays would occur in the Southern Hemisphere (SH) American (3.43 days), Northern Hemisphere (NH) African (5.98 days) and SH African (3.76 days) monsoon regions, while no robust signal is found in other monsoon regions. Except NH American monsoon, amplitude is enhanced in all the monsoon regions. Compared to amplitude, the phase changes dominate the future changes of precipitation in the SH American, NH African and SH African monsoon regions. In these phase‐dominated regions, atmospheric energetic framework is proved to be reliable at regional scale and the enhanced effective atmospheric heat capacity is found to be the dominant factor
Roles of External Forcing and Internal Variability in Global Marine Heatwaves Change During 1982–2021
Abstract As discrete prolonged extreme warm water events, marine heatwaves (MHWs) have become more frequent, stronger and longer‐lasting during the past several decades. The relative contributions of external forcing and internal variability to these changes and their underlying drivers remain unclear. Here, analyses of 90 simulations in CESM2 reveal that external forcing dominates the increasing frequency by causing the mean warming of sea surface temperature (SST), accounting for 82% of the observed trends. Both the mean warming and increased variance of SST contribute to the longer‐lasting MHWs during 1982–2021, with external forcing contributing 38% of the increase in the SST variance for global average. Internal variability, especially the Inter‐decadal Pacific Oscillation (IPO), is closely associated with regional MHW changes. The observed negative IPO trend during 1982–2021 is related to increasing, strengthening and longer‐lasting MHW over Kuroshio Extension, but decreasing and shorter‐lasting MHW over the Northeast Pacific Coast
Seasonal Delay of Tropical Rainfall Enhanced by the Interhemispheric Contrast of SST Warming
Abstract The seasonal delay of tropical rainfall is a robust feature under global warming. This study finds that the seasonal delay of tropical rainfall is much more pronounced under spatially patterned sea surface temperature (SST) warming compared to uniform SST warming. Through the lens of the atmospheric energetic framework, we show that the enhanced seasonal delay is primarily driven by the interhemispheric contrast in SST warming between the Northern and Southern Hemispheres, which intensifies the inter‐seasonal difference in cross‐equatorial atmospheric energy transport between transition seasons. The SST warming features are found to be crucial, characterized by both its seasonal cycle and annual mean. The former is closely related to the seasonal delay of SST, especially in the northern high latitude, while the latter is further demonstrated by an atmospheric model forced with the annual‐mean spatially patterned SST warming
Ship emissions around China under gradually promoted control policies from 2016 to 2019
Abstract. Ship emissions and coastal air pollution around China are expected to be
alleviated with the gradual implementation of ship domestic emission control area
(DECA) policies. However, a comprehensive post-assessment on the policy's
effectiveness is still lacking. This study developed a series of high-spatiotemporal ship emission inventories around China from 2016 to 2019 based
on an updated Ship Emission Inventory Model (SEIM v2.0) and analyzed the
interannual changes in emissions under the influence of both ship activity
increases and gradually promoted policies. In this model, NOx,
SO2, PM and HC emissions from ships in China's inland rivers and the
200 Nm (nautical miles) coastal zone were estimated every day with a spatial resolution
of 0.05∘×0.05∘ based on a combination of automatic
identification system (AIS) data and the Ship Technical Specifications
Database (STSD). The route restoration technology and classification of
ocean-going vessels (OGVs), coastal vessels (CVs) and river vessels (RVs) has
greatly improved our model in the spatial distribution of ship emissions. From
2016 to 2019, SO2 and PM emissions from ships decreased by
29.6 % and 26.4 %, respectively, while ship NOx
emissions increased by 13.0 %. Although the DECA 1.0 policy was implemented in 2017, it was not until 2019 when DECA 2.0 came into
effect that a significant emission reduction was achieved, e.g., a
year-on-year decrease of 33.3 %, regarding
SO2. Considering the potential emissions brought by the continuous
growth of maritime trade, however, an even larger SO2 emission
reduction effect of 39.8 % was achieved in these 4 years
compared with the scenario without switching to cleaner fuel. Containers and
bulk carriers are still the dominant contributors to ship emissions, and
newly built, large ships and ships using clean fuel oil account for an
increasingly large proportion of emission structures. A total of 4 years of consecutive
daily ship emissions were presented for major ports, which reflects the
influence of the step-by-step DECA policy on emissions in a timely manner and
may provide useful references for port observation experiments and local
policy making. In addition, the spatial distribution shows that a number of
ships detoured outside the scope of DECA 2.0 in 2019, perhaps to save costs on
more expensive low-sulfur oil, which would increase emissions in farther
maritime areas. The multiyear ship emission inventory provides high-quality
datasets for air-quality and dispersion modeling, as well as verifications
for in situ observation experiments, which may also guide further ship
emission control directions in China.
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Annual changes of ship emissions around China under gradually promoted control policies from 2016 to 2019
Abstract. Ship emissions and coastal air pollutions around China are expected to be alleviated with the gradually implemented of domestic ship emission control (DECA) policy. However, there is so far a lack of a comprehensive post assessment on the ship emission response after the policy implementation. This study developed a series of high spatiotemporal ship emission inventories of China’s inland rivers and the 200 Nm zone from 2016 to 2019 based on an updated Ship Emission Inventory Model (SEIM v2.0) and analysed the interannual changes of emissions under the influence of both ship activity increase and gradually promoted policy. The route restoration technology in SEIM v2.0 has greatly improved the spatial distribution of ship emissions and the river vessels (RVs) are better distinguished by using the spatial frequency distribution method. From 2016 to 2019, SO2 and PM emissions from ships decreased by 29.6 % and 26.4 %, respectively, while ship NOX emissions increased by 13.0 %. Although the DECA 1.0 policy has been implemented since 2017, it was not until 2019 with the DECA 2.0 that significant emission reduction was achieved, e.g., 33.3 % regarding SO2. Considering the potential emissions brought by continuous growth of maritime trade, however, an even larger emission reduction effect of 39.8 % was achieved in 2019 compared with the scenario without switching cleaner fuel. Although ocean-going vessels (OGVs) contributed to approximately 2/3 of ship emissions in Chinese waters, 2/3 of them came from ships registered in other countries. Containers and bulk carriers are still the dominate contributors to ship emissions, and newly-built, large ships and ships using clean fuel oil are taking an increasingly large proportion in emission structure. The four-year consecutive daily ship emissions were presented for major ports, which timely reflects the response of step-by-step DECA policy on emissions and may provide useful references for port observation experiments and local policy making. In addition, the spatial distribution shows that a number of ships detoured outside the scope of DECA 2.0 in 2019 to save the cost on more expensive low sulphur oil, increasing emissions in farther maritime areas. The multi-year ship emission inventory provide high-quality datasets for air quality and dispersion modellings, as well as verifications for in-situ observation experiments, which may also guide further ship emission control direction in China.
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Supplementary material to &quot;Annual changes of ship emissions around China under gradually promoted control policies from 2016 to 2019&quot;
Evaluation of the VOC pollution pattern and emission characteristics during the Beijing resurgence of COVID-19 in summer 2020 based on the measurement of PTR-ToF-MS
Abstract
A second wave of coronavirus disease 2019 (COVID-19) infections emerged in Beijing in summer 2020, which provided an opportunity to explore the response of air pollution to reduced human activity. Proton-transfer reaction time-of-flight mass spectrometry (PTR-ToF-MS) coupled with positive matrix factorization (PMF) source apportionment were applied to evaluate the pollution pattern and capture the detailed dynamic emission characteristics of volatile organic compounds (VOCs) during the representative period, with the occurrence of O3 pollution episodes and the Beijing resurgence of COVID-19. The level of anthropogenic VOC was lower than during the same period in previous years due to the pandemic and emission reduction measures. More than two thirds of the days during the observation period were identified as high-O3 days and VOCs exhibited higher mixing ratios and faster consumption rates in the daytime on high-O3 days. The identified VOC emission sources and the corresponding contributions during the whole observation period included: vehicle + fuel (12.41 ± 9.43%), industrial process (9.40 ± 8.65%), solvent usage (19.58 ± 13.46%), biogenic (6.03 ± 5.40%), background + long-lived (5.62 ± 11.37%), and two groups of oxygenated VOC (OVOC) factors (primary emission and secondary formation, 26.14 ± 15.20% and 20.84 ± 14.0%, respectively). Refined dynamic source apportionment results show that the ‘stay at home’ tendency led to decreased emission (−34.47 ± 1.90%) and a weakened morning peak of vehicle + fuel during the Beijing resurgence. However, a growing emission of primary OVOCs (+51.10 ± 8.28%) with similar diurnal variation was observed in the new outbreak and afterwards, which might be related to the enhanced usage of products intended to clean and disinfect. The present study illustrated that more stringent VOC reduction measures towards pandemic products should be carried out to achieve the balanced emission abatement of NO
x
and VOC when adhering to regular epidemic prevention and control measures.</jats:p
