-
Formation mechanisms of persistent extreme precipitation events over the eastern periphery of the Tibetan Plateau: Synoptic conditions, moisture transport and the effect of steep terrain Atmos. Res. (IF 5.5) Pub Date : 2024-03-12 Zhao Ruiyu, Chen Bin, Zhang Wei, Yang Shuai, Xu XiangDe
The eastern periphery of the Tibetan Plateau (EPTP) is prone to frequent and severe Persistent Extreme precipitation (PEP) events in summer. Given the complexity of weather systems and the intricate nature of terrain over this region, the generation and development mechanisms of the PEP in the EPTP remain to be determined. In this study, the formation and persistence mechanisms are further explored
-
Climate factors influencing springtime dust activities over Northern East Asia in 2021 and 2023 Atmos. Res. (IF 5.5) Pub Date : 2024-03-11 Lin Liu, Zhili Wang, Huizheng Che, Deying Wang, Ke Gui, Bo Liu, Kangjie Ma, Xiaoye Zhang
In the springs of 2021 and 2023, northern East Asia experienced intense dust activities resulting in significant environmental and ecological impacts. This study explores the climate factors responsible for these strong dust activities in both springs. Results show that the anomalous surface warming during the late winter and early spring and the anomalous dry surface soil moisture in the spring are
-
Variations in optical properties of water- and methanol-soluble organic carbon in PM2.5 in Tianjin and Handan over the Wintertime of 2018–2020 Atmos. Res. (IF 5.5) Pub Date : 2024-03-11 Haibiao Chen, Ruizhi Zhou, Li Fang, Honglei Sun, Qiaoyun Yang, Hongya Niu, Junwen Liu, Yingze Tian, Min Cui, Caiqing Yan
The impact of the Three-year Action Plan for winning the “blue sky defense battle” on the pollution levels and chemical characteristics of fine particulate matter has been intensively studied over the past few years. However, the effect of air pollution control on light absorption of brown carbon remains unclear. In this study, the light absorption and fluorescence properties of water- and methanol-soluble
-
The response of global terrestrial water storage to drought based on multiple climate scenarios Atmos. Res. (IF 5.5) Pub Date : 2024-03-11 Wei Wei, Jiping Wang, Xufeng Wang, Peng Yan, Binbin Xie, Junju Zhou, Ting Liu, Dang Lu
Drought is a hydrological hazard phenomenon that spreads across the world and will become more intense and frequent with climate change in the future. How to scientifically and effectively monitor and evaluate drought events has become a significant issue. At present, various types of drought monitoring indices have been proposed. However, the criteria for drought that occurs in each month is different
-
Effect of land cover pattern on rainfall during a landfalling typhoon: A simulation of Typhoon Hato Atmos. Res. (IF 5.5) Pub Date : 2024-03-09 Jiahao Wu, Liang Gao, Qingyan Meng, Hong Wang
The impact of urbanization on weather events has received increasing attention. Taking Typhoon Hato as an example, the impact of anthropogenic land cover change on typhoon landfall and sequential rainfall is quantified in this study. A numerical model is first built based on the Weather Research and Forecast model. Then, the model is validated, the performance of parameters for the different meteorological
-
Sensitivity analysis of the WRF simulated planetary boundary layer height to synoptic conditions over eastern China Atmos. Res. (IF 5.5) Pub Date : 2024-03-08 Yarong Li, Jianjun He, Jiming Li, Hongli Ren, Hong Wang, Wangjun Luo, Sunling Gong, Huizheng Che, Xiaoye Zhang
Accurately representing the planetary boundary layer height (PBLH) and its thermal/dynamic structures within is essential for simulating meteorological and environmental conditions in numerical models. However, how accurately model reproduces PBL processes under diverse synoptic conditions remains under-explored. Using the Weather Research Forecasting model that configured with the widely-used YSU
-
Temporal variations of stable isotopic compositions in atmospheric water vapor on the Southeastern Tibetan Plateau and their controlling factors Atmos. Res. (IF 5.5) Pub Date : 2024-03-08 Manli Chen, Jing Gao, Lun Luo, Aibin Zhao, Xiaowei Niu, Wusheng Yu, Yigang Liu, Gebanruo Chen
Stable isotopic compositions in atmospheric water vapor (δO, δD and d-excess) are effective tracers that provide new insights into the local and regional hydrological cycle on the Tibetan Plateau. One-year continuous measurements of the isotopic compositions in near-surface atmospheric water vapor on the Southeastern Tibetan Plateau are reported. Our results demonstrated the relative impacts of moisture
-
What primarily regulates the evolution of convection in Hainan Island? Atmos. Res. (IF 5.5) Pub Date : 2024-03-07 Zhao-ming Liang, Li-jun Li
The evolution characteristics of convection in Hainan Island and their key regulators are still not fully recognized. Using years of high-resolution radar and reanalysis data, this study investigated the statistical characteristics of the evolution of convection in Hainan Island and discussed the key regulators leading to these characteristics. Results show that environmental winds significantly promote
-
The influence of Urmia Lake desiccation on an extreme snowfall event: A case study using the WRF-Lake model Atmos. Res. (IF 5.5) Pub Date : 2024-03-06 M. Rahimian, S.M. Siadatmousavi, M. Saeedi
Urmia Lake in the northwest Iran has undergone significant desiccation in recent decades, shrinking to a much smaller size than its original. This study implements the WRF-Lake coupled modeling system to examine the impacts of the observed physical changes over the Lake during a heavy snowfall event occurred February 1–2, 2017. Modifications are introduced to represent the shrunken, salt-encrusted
-
Evaluation of CAS-ESM2 in simulating the spring dust activities in the Middle East Atmos. Res. (IF 5.5) Pub Date : 2024-03-06 Alireza Kamal, Zhaohui Lin, Chenglai Wu
The assessment of Earth System Models (ESMs) in simulating long-term dust activities is a prerequisite for the applications of ESMs to the projection of future dust change. Middle East is the second largest dust source region in the world after North Africa, and our knowledge of the ESMs' ability in simulating regional dust cycle in this region is still limited. Here we examine the ability of the Chinese
-
Modeling the transport of PM10, PM2.5, and O3 from South Asia to the Tibetan Plateau Atmos. Res. (IF 5.5) Pub Date : 2024-03-06 Yuling Hu, Haipeng Yu, Shichang Kang, Junhua Yang, Xintong Chen, Xiufeng Yin, Pengfei Chen
South Asian air pollutants exert substantial effect on the climate and environment change over the Tibetan Plateau (TP). This paper investigates the trans-boundary transport of PM, PM, and O from South Asia to the TP via WRF-Chem sensitive analysis. It is found that PM, PM, and O over South Asia are mainly sourced from anthropogenic sources. South Asian emissions contribute up to 54% of PM (PM) in
-
To improve the prediction skills of typhoon intensity by identifying target observation using particle filter assimilation method Atmos. Res. (IF 5.5) Pub Date : 2024-03-05 Jingjing Zhang, Wansuo Duan, Shujuan Hu, Deqian Li, Xiaohao Qin, Meiyi Hou, Boyu Chen
The typhoon intensity forecasts are much more affected by nonlinear processes than track forecasts. Recent developments in models and nonlinear data assimilation methods have opened the way for the target observation strategy of improving intensity forecasts. Based on the offline outputs of ensemble forecasts, the nonlinear particle filter (PF) assimilation method which is not limited to Gaussian distribution
-
The direct and indirect radiative effects of sea salt aerosols over the western Pacific using an online-coupled regional chemistry-climate model with a developed sea salt emission scheme Atmos. Res. (IF 5.5) Pub Date : 2024-03-05 Jiawei Li, Zhiwei Han, Anzhi Zhang, Zhaoyang Meng
The direct and indirect radiative effects of sea salt aerosols (SSA) over the western Pacific Ocean of East Asia for the year 2014 are investigated by using an online-coupled regional chemistry-climate model (RIEMS-Chem) with a developed sea salt emission scheme (G03SSTRH) by considering the effects of sea surface temperature (SST) and relative humidity (RH) on sea salt generation. Model comparison
-
Why does tropical cyclone intensify faster under weaker parameterized horizontal diffusion in three-dimensional numerical simulations? Atmos. Res. (IF 5.5) Pub Date : 2024-03-05 Xinru Xie, Donglei Shi, Guanghua Chen
The mechanisms by which the parameterized horizontal diffusion impacts the tropical cyclone (TC) intensification are investigated via a series of numerical simulations of Supertyphoon Lekima (2019) with different horizontal mixing lengths (). Consistent with previous studies, the TC intensifies faster and attains a higher peak intensity as decreases, which is attributed to a more compact wind structure
-
Influence of Arctic stratospheric ozone in March on precipitation in eastern China during the boreal spring Atmos. Res. (IF 5.5) Pub Date : 2024-03-05 Huiming Zhang, Dingzhu Hu, Tingting Han
The influence of Arctic stratospheric ozone (ASO) in March on precipitation in eastern China during the boreal spring has been investigated by using observations, reanalysis datasets, and historical simulations from CMIP6. Results show a robust in-phase relationship between March ASO and precipitation in eastern China in April and May on interannual timescale during 1980–2020, with the strongest positive
-
Causes of the severe drought in Southwest China during the summer of 2022 Atmos. Res. (IF 5.5) Pub Date : 2024-03-05 Yun Zhu, Yang Li, Xin Zhou, Wuhu Feng, Guolu Gao, Minggang Li, Guowei Zheng
In summer 2022, Southwest China (SWC) suffered its worst drought since 1980, with a rainfall deficit and an extremely high temperature anomaly. This had a severely harmful effect on agricultural production, water resources, and hydroelectric supply over SWC. Both a less-than-normal water vapor supply and warmer-than-normal temperature contribute to the precipitation decrease associated with drought
-
Assimilation of the deep learning-corrected global forecast system fields into the regional model for improving medium-range persistent precipitation forecasts Atmos. Res. (IF 5.5) Pub Date : 2024-03-04 Shuchang Guo, Yi Yang, Peng Liu
The error of regional models gradually increases during long-term integration, and it can be reduced with the constraint of large-scale circulation by assimilating global forecast system (GFS) fields to improve the forecast performance. However, with increasing forecast time, the GFS forecast error also significantly increases and varies widely. Directly assimilating GFS fields into the regional model
-
Light absorption properties and source contributions of black and brown carbon in Guangxi, southern China Atmos. Res. (IF 5.5) Pub Date : 2024-03-03 Benben Xu, Meng Fan, Xiaoyan Lu, Zhaoyang Zhang, Mingge Li, Jinhua Tao, Liangfu Chen, Shipeng Song
Black carbon (BC) and brown carbon aerosols (BrC) are primary light-absorbing carbonaceous aerosols that significantly influence the global and regional radiation balance, as well as air quality. Guangxi Zhuang Autonomous Region, as a primarily agricultural province of China and neighbouring Southeast Asia, is subjected to both local emissions and pollution transport from Southeast Asian biomass burning
-
Less concentrated precipitation and more extreme events over the three river headwaters region of the Tibetan Plateau in a warming climate Atmos. Res. (IF 5.5) Pub Date : 2024-03-02 Juan Du, Xiaojing Yu, Li Zhou, Xiaodong Li, Tianqi Ao
Widely known as the “China Water Tower”, changes in precipitation concentration and insufficient rainfall days over the Three River Headwaters region (TRH) may threaten food and water security in TRH and downstream areas. However, current research on rainfall occurrences in TRH lacks a comprehensive understanding of the spatiotemporal variations in precipitation concentration, the seasonal distribution
-
Global characteristics of cloud macro-physical properties from active satellite remote sensing Atmos. Res. (IF 5.5) Pub Date : 2024-03-02 Yulei Chi, Chuanfeng Zhao, Yikun Yang, Xin Zhao, Jie Yang
Based on the products of joint CloudSat and CALIPSO observations from 2006 to 2017, this study investigates the global cloud macro-physical characteristics, including the spatial differences in cloud height, cloud thickness, cloud type, and cloud phase, along with the spatial-temporal variations and the land-sea discrepancy of the cloud vertical structure variables according to the study areas. The
-
Evaluation and comparison of 11 sets of gridded precipitation products over the Qinghai-Tibet Plateau Atmos. Res. (IF 5.5) Pub Date : 2024-03-02 Pinzeng Rao, Fang Wang, Xing Yuan, Yang Liu, Yang Jiao
The Qinghai Tibet Plateau (QTP) poses challenges in developing high-quality gridded precipitation data with high spatial and temporal resolution due to its complex terrain, harsh weather conditions, and sparse gauge observations. Previous research showed that gridded precipitation products from remote sensing satellites, reanalysis, and merged data are useful over the QTP. However, the precipitation
-
Studies on regional ozone formation sensitivities and transport with higher spatiotemporal resolutions in a stereoscopic dimension: GEMS and vertical observations Atmos. Res. (IF 5.5) Pub Date : 2024-03-02 Haochen Peng, Chengzhi Xing, Yikai Li, Chengxin Zhang, Jinan Lin, Jingkai Xue, Xiaohan Wang, Yuhang Song, Xinhan Niu, Cheng Liu
Currently, ozone pollution is one of the key environmental concerns, and to provide more effective strategies for ozone control, this paper proposes the use of the Geostationary Environmental Monitoring Spectrometer (GEMS) in conjunction with MAX-DOAS for observations and ozone sensitivity analysis. Compared to traditional polar-orbiting satellites, GEMS, launched by South Korea in 2019, offers superior
-
Energy budget characteristics of the subseasonal Scandinavian pattern Atmos. Res. (IF 5.5) Pub Date : 2024-03-01 Shaoying Xing, Ning Shi, Botao Zhou
Based on daily Japanese 55-year reanalysis data, this study analysed the daily energy budget characteristics of 94 Scandinavian (SCA) events in the positive phase during 62 winters from 1958 to 2020. Low-frequency circulation anomalies characterize the SCA events. The maintenance of low-frequency anomalies mainly comes from the extraction of both available potential energy (APE) and kinetic energy
-
Comprehensive multisensor analysis of ground-reported squalls in the complex terrain of the Indian subcontinent Atmos. Res. (IF 5.5) Pub Date : 2024-02-29 Rajdip Saha, Partha Roy
Owing to the immense socio-economic impact of squalls over northeast India every year during the pre-monsoon season, a comprehensive investigation of their characteristics using multisensor observations have been conducted. The long-term (2010‐2021) ground-reported squall data obtained from various ground stations in this region revealed that Agartala experiences frequent and more intense squall in
-
Using machine learning to analyze the changes in extreme precipitation in southern China Atmos. Res. (IF 5.5) Pub Date : 2024-02-29 Bojun Wang, Wei Wei, Zejiang Yin, Lianlian Xu
Convolutional neural network (CNN) is applied to identify the extreme precipitation events (EPEs) in southern China and the physical contributions are quantified for the changes in extreme precipitation in recent decades. The CNN correctly identifies about 96% of the observed EPEs based on the given large-scale atmospheric circulation. The discrimination made by the neural network is revealed by using
-
Performance of FY-4B GIIRS temperature products under cloudy skies and their enhancement of surface precipitation type forecasting Atmos. Res. (IF 5.5) Pub Date : 2024-02-28 Yang Gao, Xin Wang, Dongyan Mao
Accurately identifying precipitation types and their timings during the cold season is vital for decision-makers to minimize adverse effects on transportation, the economy, and public safety. However, a persistent challenge remains in forecasting precipitation types due to the incorrect thermal structure in numerical weather models. Building upon our previous work, this study first evaluates the performance
-
Relationship between the Pacific Meridional Mode and El Niño–Southern Oscillation on different timescales Atmos. Res. (IF 5.5) Pub Date : 2024-02-28 Li Tao, Yue Xiao, Jiuwei Zhao
Previous studies have shown that the Pacific Meridional Mode (PMM) has a crucial impact on the central Pacific El Niño–Southern Oscillation (ENSO). In this study, we redefined the PMM index used previously by focusing on the sea surface temperature in the subtropical northeastern Pacific (NEP), and found that the correlations between the PMM and ENSO are distinct on different timescales. We refer to
-
Detection and characterization of hailstorms over France using DPR data onboard the GPM Core Observatory Atmos. Res. (IF 5.5) Pub Date : 2024-02-27 Laura Rivero-Ordaz, Andrés Merino, Andrés Navarro, Francisco J. Tapiador, José L. Sánchez, Eduardo García-Ortega
Hailstorms cause heavy losses, especially when their hailstones reach a large size. One of the European regions most affected by these severe atmospheric events is southern France, where a valuable and extensive hailpad network has been operational for more than three decades. These direct observations are extremely useful because they allow for the definitive verification of hailfall at the ground
-
Exploring covariabilities of the high-summer subtropical upper-level pressure systems in the Northern Hemisphere Atmos. Res. (IF 5.5) Pub Date : 2024-02-27 Ziyun Huang, Chundi Hu, Kaiqiang Deng, Zeming Wu, Chengyang Zhang, Tao Lian, Guoli Zhang, Lifei Lin, Song Yang
The Northern Hemisphere subtropical upper-tropospheric pressure systems, i.e., South Asian high (SAH), mid-Pacific Trough (MPT), and mid-Atlantic Trough (MAT), play key roles in regulating the Eurasian–Pacific–North American climate, but their covariabilities and drivers remain unclear. Here, we reveal two seesaw-like teleconnections between MPT and western SAH (WSAH) and between MPT and MAT during
-
Developing intelligent Earth System Models: An AI framework for replacing sub-modules based on incremental learning and its application Atmos. Res. (IF 5.5) Pub Date : 2024-02-23 Bin Mu, Zi-Jun Zhao, Shi-Jin Yuan, Bo Qin, Guo-Kun Dai, Guan-Bo Zhou
In recent years, developing intelligent Earth System Models (ESMs), which integrate artificial intelligence (AI) models to replace ESMs' sub-modules, has shown promising results in enhancing both the accuracy and efficiency of traditional ESMs. A crucial determinant in this process is the quality of training data, which determines what knowledge AI can learn. Delving into specifics, while training
-
Drought trend and variability based wavelet transform in Euphrates-Tigris Basin, Türkiye Atmos. Res. (IF 5.5) Pub Date : 2024-02-23 İslam Yaşa, Turgay Partal
This paper presents an analysis of trends in drought variables at 29 stations across the Euphrates-Tigris Basin over the period 1965–2022. Drought variables were calculated using the Standardized Precipitation Index (SPI) for 1-, 3-, 6- and 12-month scales. The drought values have been decomposed for these time scales through application of Discrete Wavelet Transform (DWT). The components are defined
-
-
Quantitative analysis of sulfate formation from crop burning in Northeast China: Unveiling the primary processes and transboundary transport to South Korea Atmos. Res. (IF 5.5) Pub Date : 2024-02-21 Dongjin Kim, Yunsoo Choi, Wonbae Jeon, Jeonghyeok Mun, Jaehyeong Park, Cheol-Hee Kim, Jung-Woo Yoo
The substantial amount of pollutants produced by crop burning leads to particulate matter (PM) formation through chemical reactions in the atmosphere. In this study, we quantitatively examined the characteristics of PM component concentration changes and the production mechanism of sulfate (SO) due to crop burning in China, during a period of high PM concentration in South Korea. Crop burning emissions
-
Comparing the mechanisms of two types of summer extreme precipitation in Beijing-Tianjin-Hebei region, China: Insights from circulation patterns and moisture transports Atmos. Res. (IF 5.5) Pub Date : 2024-02-21 Jing Cong, Huijun Liu, Guicai Ning, Hong Chen, Xueyan Bi, Bo Liu, Yuanjian Yang, Haiyun Xia
Beijing-Tianjin-Hebei (BTH) is undergoing huge risks from severe precipitation extremes, but their climate features and underlying mechanisms are not fully understood and warrant in-depth investigations. Here, the summer extreme precipitation events in BTH are objectively divided into two types according to the spatial distribution i.e., Northeast precipitation () and Southwest precipitation () and
-
Sub-daily scale variations and trends in southwest monsoon rainfall over the West coasts of India and Myanmar Atmos. Res. (IF 5.5) Pub Date : 2024-02-17 P. Ancy, Hamza Varikoden, C.A. Babu
The West Coast of India (WCI) and the West Coast of Myanmar (WCM) receive a good amount of monsoon rainfall due to the orographic lifting and moisture transport from the neighbouring sea. Here, diurnal variation in rainfall amount, frequency, intensity, and contribution during the summer monsoon period was studied using TRMM 3 hourly precipitation data. The analysis was carried out over lowland, midland
-
Effects of smoke on marine low clouds and radiation during 2020 western United States wildfires Atmos. Res. (IF 5.5) Pub Date : 2024-02-17 Lingyao Dong, Minghuai Wang, Daniel Rosenfeld, Yannian Zhu, Yuan Wang, Xinyi Dong, Zhoukun Liu, Hao Wang, Yi Zeng, Yang Cao, Xin Lu, Jihu Liu, Wenxiang Shen
Biomass burning aerosols (BBAs) influence the climate directly by scattering and absorbing sunlight and indirectly by changing the cloud properties through serving as cloud condensation nuclei (CCN) or ice-nucleating particles (INPs). Here we used the WRF-Chem model to simulate the transport of BBAs and their interactions with clouds and radiation during the western United States wildfires in September
-
Exploring the role of aerosol-ozone interactions on O3 surge and PM2.5 decline during the clean air action period in Eastern China 2014–2020 Atmos. Res. (IF 5.5) Pub Date : 2024-02-17 Yasong Li, Tijian Wang, Qin'’geng Wang, Mengmeng Li, Yawei Qu, Hao Wu, Min Xie
The China implemented the Clean Air Action Plan (CAAP) in September 2013 to address the pressing air pollution problem. This initiative yielded a noteworthy reduction in PM while simultaneously witnessing the O elevation. Here, we used a revised WRF-Chem model to study the drivers (anthropogenic emissions (EMI), meteorological changes (MET)) of decreasing PM and increasing O in eastern China across
-
Increase in western North Pacific tropical cyclone intensification rates and their northwestward shifts Atmos. Res. (IF 5.5) Pub Date : 2024-02-12 Jiancheng Huang, Zhanhong Ma, Haikun Zhao, Jianfang Fei, Lihao Chen
The tropical cyclone intensification rates (TCIRs) over the western North Pacific (WNP) are investigated on the basis of 6-hourly atmospheric and oceanic reanalyses and TC best track data from 1982 to 2020. Results indicate that 24-h-TCIRs over the WNP have increased remarkably by ~17.2% in the past four decades. A remarkable difference before and after the changepoint 2004 is detected in 24-h TCIRs
-
Three-dimensional structure and transport flux of springtime smoke aerosols over the Indochina Peninsula Atmos. Res. (IF 5.5) Pub Date : 2024-02-12 Yurun Liu, Ke Gui, Quanliang Chen, Liangliang Feng, Hongke Cai, Xutao Zhang, Wenrui Yao, Hengheng Zhao, Nanxuan Shang, Lei Li, Yu Zheng, Huizheng Che
Springtime smoke aerosols attributable to biomass burning on the Indochina Peninsula (ICP) are a major source of absorbing aerosols globally, and play a nonnegligible perturbing role in climate change. Using smoke extinction profiles provided by the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument, and aerosol and meteorological reanalyses for the period 2007–2021, this study investigated
-
Seeding invigoration effect of ice-containing clouds on lower convective clouds during MeiYu season in 2020 Atmos. Res. (IF 5.5) Pub Date : 2024-02-08 Dejun Li, Chuanfeng Zhao, Jiefan Yang, Cao Liu, Tianyi Wang, Yingying Chen, Ming Li, Zhengteng Yuan, Hai Wang, Jia Fu, Yikun Yang, Yadi Li
Cloud seeding is a process that adjusts cloud physical properties and processes, including both natural and human measures. This study aims to assess the effects of natural ice seeding from upper ice-containing clouds on low convective clouds through in-situ aircraft observations during an Integrative Monsoon Frontal Rainfall Experiment (IMFRE-II) in the summer of 2020. We mainly focus on two distinct
-
Vertical transport of ultrafine particles and turbulence evolution impact on new particle formation at the surface & Canton Tower Atmos. Res. (IF 5.5) Pub Date : 2024-02-08 Hao Wu, Zhanqing Li, Shangfei Hai, Yang Gao, Jingkun Jiang, Bin Zhao, Maureen Cribb, Dongmei Zhang, Dongyang Pu, Mengqi Liu, Chunling Wang, Jing Lan, Yuying Wang
New particle formation (NPF) is a key process occurring in the planetary boundary layer (PBL). Newly formed particles are an important source of aerosols and cloud condensation nuclei (CCN) that influence clouds and climate. However, the distribution of these new particles at different altitudes has rarely been studied. In-situ measurements of ultrafine particles (UFP) observed at the ground level
-
Atmospheric heat source over the Tibetan Plateau: A comparative analysis between the Westerlies and Monsoon Regions Atmos. Res. (IF 5.5) Pub Date : 2024-02-08 Lihong Wei, Qinglong You, Zhiyan Zuo, Ruonan Zhang, Shichang Kang
The atmospheric heat source (AHS) over the Tibetan Plateau (TP) and its patterns has received widespread attention. However, there is currently a lack of comparative research study on the spatio-temporal variations of the AHS between the monsoon TP (M-TP) and westerlies TP (W-TP). In this study, we conducted a comparative analysis of the spatio-temporal variations in the AHS over the M-TP and the W-TP
-
Effects of significant emission changes on PM2.5 chemical composition and optical properties from 2019 to 2021 in a typical industrial city of eastern China Atmos. Res. (IF 5.5) Pub Date : 2024-02-07 Xiangpeng Huang, Changping Li, Chao Pan, Yue'e Li, Wei Zheng, Guangwu Lin, Haiwei Li, Yunjiang Zhang, Junfeng Wang, Yali Lei, Jianhuai Ye, Xinlei Ge, Hongliang Zhang
Restrictions on emission controls were implemented in China to cope with the outbreak of the Coronavirus Disease 2019 (COVID-19), providing a chance to study the impacts of anthropogenic emissions on air quality. Subsequently, three-year measurements of PM chemical composition and light absorption were conducted in a typical megacity (Suzhou) of the Yangtze River Delta in China from 2019 to 2021. The
-
Comparing ERA5 convective environments associated with hailstorms in Poland between 1948–1955 and 2015–2022 Atmos. Res. (IF 5.5) Pub Date : 2024-02-06 Wojciech Pilorz, Igor Laskowski, Artur Surowiecki, Mateusz Taszarek, Ewa Łupikasza
This study compares the convective parameters between two 8-year periods of hail reporting in Poland: 1948–1955 (period A) and 2015–2022 (period B). The data on hail incidents for period A was derived from hail annuals of the Institute of Meteorology and Water Management, while for period B from the European Severe Weather Database. Period A contains more hail reports (18375) compared to the recent
-
Convection-permitting regional climate simulation on soil moisture-heatwaves relationship over eastern China Atmos. Res. (IF 5.5) Pub Date : 2024-02-05 Yi Xu, Pinya Wang, Yutong Lu, Mengnan Ma, Guangtao Dong, Jianping Tang
Through soil moisture-temperature feedback, soil moisture significantly impacts heatwaves, which have detrimental effects on ecosystems, society, and human health. This study analyzed the spatiotemporal features of heatwave indices, including heatwave magnitude (HWM) and frequency (HWF) over eastern China during 1998–2010, and their relationships with antecedent soil moisture based on both observations
-
The influence of the black carbon warming effect on near-surface ozone in China in summer Atmos. Res. (IF 5.5) Pub Date : 2024-02-05 Huimin Chen, Bingliang Zhuang, Jane Liu, Danyang Ma, Shu Li, Tijian Wang, Min Xie, Mengmeng Li
Black carbon aerosol (BC) has significant impacts on regional climate changes due to its absorption of solar radiation, which might lead to substantial variations in surface ozone (O) pollution. Therefore, the potential role of the BC warming effect on O responses during summertime in China is investigated and quantified based on online-coupled regional climate-chemistry model (RegCM-Chem) simulations
-
Photochemical pollution during summertime in a coastal city of Southeast China: Ozone formation and influencing factors Atmos. Res. (IF 5.5) Pub Date : 2024-01-29 Gaojie Chen, Xiaoting Ji, Jinsheng Chen, Lingling Xu, Baoye Hu, Ziyi Lin, Xiaolong Fan, Mengren Li, Youwei Hong, Jinfang Chen
Surface ozone (O3) has a significant impact on the air quality, and its concentrations have been increasing despite a distinct decrease in fine particulate matter (PM2.5) since 2013 in China. However, the formation mechanisms of photochemical O3 pollution in coastal regions are not fully understood. Therefore, an intensive field observation was conducted from July 8th to August 4th 2022 in Xiamen of
-
Dominant circulation pattern and moving path of the Mongolian Cyclone for the severe sand and dust storm in China Atmos. Res. (IF 5.5) Pub Date : 2024-01-29 Jing Gao, Ting Ding, Hui Gao
Severe sand and dust storm (SDS) is one of the major meteorological disasters in northern China. During 2000–2023, a total of 37 severe SDS events were monitored by the China Meteorological Administration and 34 of them occurred in the boreal spring (March to May). In this study, the 34 cases are analyzed to reveal their spatio-temporal features. The results indicate that there are two high-frequency
-
Deep-BCSI: A deep learning-based framework for bias correction and spatial imputation of PM2.5 concentrations in South Korea Atmos. Res. (IF 5.5) Pub Date : 2024-02-03 Deveshwar Singh, Yunsoo Choi, Jincheol Park, Ahmed K. Salman, Alqamah Sayeed, Chul Han Song
In this study, we introduce a deep learning-based framework, Deep-BCSI, which leverages Convolutional Neural Networks (CNN) for bias correction and Partial Convolutional Neural Networks (PConv) for spatial imputation. It is designed to enhance the accuracy of PM concentration forecasts over South Korea, at both station and grid levels, up to three days in advance. The framework utilizes 72-h simulations
-
Impact of a severe dust storm on aerosol properties and their radiative forcing over the Indian subcontinent during winter Atmos. Res. (IF 5.5) Pub Date : 2024-02-03 Jeni N. Victor, Swapnil S. Potdar, Devendraa Siingh, T. Gokul, A.K. Kamra, R.P. Singh, V. Gopalakrishnan, G. Pandithurai
The impact of a severe dust storm that originated over the Arabian Peninsula (AP) and travelled to the Indian subcontinent during 20–26 January 2022 is examined. According to the event's synoptic analysis, the Gulf of Oman, adjacent areas of Oman and Iran had strong mid-lower tropospheric westerlies because of the configuration of north-south cyclonic and anticyclonic circulation patterns generated
-
-
Precipitable water vapor estimation from Himawari-8/AHI observations using a stacking machine learning model Atmos. Res. (IF 5.5) Pub Date : 2024-02-02 Zheng Du, Yibin Yao, Bao Zhang, Qingzhi Zhao
The Advanced Himawari Imager (AHI) onboard the new-generation geostationary satellite Himawari-8 is designed to capture visible light and infrared images of the Asia-Pacific region in 16 bands, providing a potential mean for monitoring precipitable water vapor (PWV). However, no algorithm is specially developed for the Himawari-8/AHI to estimate PWV from its multichannel observations, resulting in
-
Future trends in the vertical structure of Arctic warming and moistening in different emission scenarios Atmos. Res. (IF 5.5) Pub Date : 2024-01-29 Hanbin Nie, Yongkun Xie, Min Zhao, Zifan Su
Arctic warming is a pressing global concern, and understanding its future vertical structure is crucial for Arctic-mid-latitude connections. In this study, we employed the Coupled Model Intercomparison Project Phase 6 (CMIP6) multi-model simulations to investigate the vertical structure of Arctic warming concerning its current evolving (1980–2030) and future change (2050–2100). In addition to the dry
-
Performance of DSCOVR/EPIC diurnal aerosol products over China: Ground validation and intercomparison Atmos. Res. (IF 5.5) Pub Date : 2024-01-28 Lu Gui, Minghui Tao, Lina Xu, Yi Wang, Jun Wang, Lunche Wang, Liangfu Chen
The Earth Polychromatic Imaging Camera (EPIC) provides an unprecedented diurnal global observation of aerosol variations since 2015. In this study, we present a comprehensive insight into the performance and application of EPIC aerosol products over China from near-UV (EPICAERUV) and Multi-Angle Implementation of Atmospheric Correction (EPIC MAIAC) algorithms. Despite a consistency with AERONET observation
-
Lightning activity and microphysical structure characteristics during the convective cell mergers in an extreme mesoscale convective system Atmos. Res. (IF 5.5) Pub Date : 2024-01-26 Jing Sun, Yanjiao Xiao, Yunying Li, Muyun Du, Zhikang Fu, Liang Leng, Ran Cai, Haopeng Wu
This study examines the evolution of storm and lightning activity in an extreme mesoscale convective system (MCS) over the Hubei Province region using 3D lightning location instrument, S-band Doppler weather radar, dual-polarization radar, and other meteorological data. Peak lightning activity occurred mainly during the bow echo (BE) and bow-and-arrow echo (BAA) stages, and the number of total lightning
-
On the response of daily precipitation extremes to local mean temperature in the Yangtze River basin Atmos. Res. (IF 5.5) Pub Date : 2024-01-23 Yan Jiang, Xinguang He, Jiajia Li, Xinping Zhang
This study explores the response of daily extreme precipitation (PEX) to local mean temperatures (T) of the previous 0-day (T0), 1-day (T1), and 1 to 9-days (T1–9) in the Yangtze River basin (YRB) using the non-stationarity test, binning method and copula theory. Results show that the annual scaling rate of PEX with T during 1961–2020 exhibits positive, negative and positive changing trends from southwest
-
Simulations of a tornadic supercell event in the south of Spain: Sensitivity to initial and boundary conditions and microphysics parameterizations Atmos. Res. (IF 5.5) Pub Date : 2024-01-24 Francisco Javier Bello-Millán, Julián Palacios, Paloma Gutierrez-Castillo, Luis Parras
A tornadic supercell near the village of Campillos (Malaga province) occurred on 26 August 2019 with several associated damages. In this study, we analyze the sensitivity of the Weather Research and Forecasting (WRF) model to initial and boundary conditions and microphysics parameterizations when reproducing this particular event. A total of 20 cases were simulated with four initial and boundary conditions
-
A review of machine learning for modeling air quality: Overlooked but important issues Atmos. Res. (IF 5.5) Pub Date : 2024-01-21 Die Tang, Yu Zhan, Fumo Yang
Machine learning models based on satellite remote sensing have gained widespread use in estimating ground-level air pollutant concentrations, which overcome the limitations of the discontinuous spatial distribution of ground monitoring stations. However, due to the interdisciplinary nature of environmental modeling, atmospheric researchers may overlook some important issues when using machine learning
-
Statistical post-processing of multiple meteorological elements using the multimodel integration embedded method Atmos. Res. (IF 5.5) Pub Date : 2024-01-23 Xingxing Ma, Hongnian Liu, Qiushi Dong, Qizhi Chen, Ninghao Cai
Statistical post-processing of systematic errors is required for numerical weather predictions to obtain accurate and credible forecasts. Traditionally, this is accomplished separately with different individual models and for one specific element of focus. Here, a promising new method is proposed for the post-processing of meteorological elements output by the European Centre for Medium-Range Weather
-
Estimations of potential evapotranspiration from CMIP6 multi-model ensemble over Africa Atmos. Res. (IF 5.5) Pub Date : 2024-01-16 Ibrahim Yahaya, Zhenjie Li, Jian Zhou, Shan Jiang, Buda Su, Jinlong Huang, Runhong Xu, Peni Hausia Havea, Tong Jiang
Potential evapotranspiration (PET) plays a pivotal role in resource management and drought assessment. However, future PET estimates remain underexplored in the African region. This study employs twenty General Circulation Models (GCMs) to estimate past (1979–2014) and future PET changes across near-term (2021–2040), mid-term (2061–2080), and long-term (2081–2100) periods, considering four Shared Socioeconomic