Most-cited articles · 2023

The 50 most-cited articles in Journal of Geophysical Research Atmospheres, 2023

Ranked by OpenAlex citation count on 29 October 2026, out of 746 eligible articles Journal of Geophysical Research Atmospheres published in 2023. Ranks are frozen; this page will not change. Number one, with 78 citations: Increased Sensitivity of Global Vegetation Productivity to Drought Over the Recent Three Decades.

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2026-10-29

The most-cited articles in this set cluster around three themes: drought impacts on vegetation, atmospheric rivers, and climate modeling. The top paper, by Xiaonan Wei, Wei He, Yanlian Zhou and colleagues, is "Increased Sensitivity of Global Vegetation Productivity to Drought Over the Recent Three Decades," with 78 citations. Atmospheric rivers feature prominently, including a deep-learning ensemble detection method with 77 citations and a global application of the atmospheric river scale with 76 citations. Other highly cited work covers La Niña events, the RegCM5 regional climate model, urban fog, extreme precipitation in Japan, and the Hunga Tonga-Hunga Ha'apai eruption.

For readers, the list offers a snapshot of which 2023 Journal of Geophysical Research Atmospheres papers attracted the most attention, based on OpenAlex citation counts among 746 eligible articles. It can serve as a starting point for exploring research directions that resonated widely that year.

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  1. 1
    top 0.2%

    Increased Sensitivity of Global Vegetation Productivity to Drought Over the Recent Three Decades

    Xiaonan Wei, Wei He, Yanlian Zhou, Nuo Cheng, Jingfeng Xiao and 4 more

    78 citationsOpen accessdoi:10.1029/2022jd037504OpenAlex

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    Abstract Intensified droughts have been weakening global vegetation productivity, yet how the sensitivity of vegetation productivity to drought changes over time is not well known. Here, using the simulated long‐term gross primary production (GPP) with an improved two‐leaf light use efficiency model and the Standardized Precipitation Evapotranspiration Index (SPEI), we studied the sensitivity of global vegetation productivity to drought, quantified by the corresponding time scale of SPEI with strongest drought impact on GPP, and analyzed the changes in the sensitivity over two time periods (1993–2005 and 2006–2018). Compared to the first period, droughts were more widespread and severer around the world in the second period, as evidenced by increased drought range (increased by 4.43%) and intensity (SPEI03 decreased by 103%). Globally, the area with significant correlation between GPP and SPEI increased by 25.53%, the impact intensity increased by 14.75%, and the drought sensitivity of GPP enhanced by 13.76%; the changing directions were pretty similar across various vegetation…

  2. 2
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    A Deep‐Learning Ensemble Method to Detect Atmospheric Rivers and Its Application to Projected Changes in Precipitation Regime

    Yuan Tian, Yang Zhao, Seok‐Woo Son, Jing‐Jia Luo, Seok‐Geun Oh and 1 more

    77 citationsOpen access (CC-BY)doi:10.1029/2022jd037041OpenAlex

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    Abstract This study aims to detect atmospheric rivers (ARs) around the world by developing a deep‐learning ensemble method using AR catalogs of the ClimateNet data set. The ensemble method, based on 20 semantic segmentation algorithms, notably reduces the bias of the testing data set, with its intersection over union score being 1.7%–10.1% higher than that of individual algorithms. This method is then applied to the Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets to quantify AR frequency and its related precipitation in the historical period (1985–2014) and future period (2070–2099) under the Shared Socioeconomic Pathways 5–8.5 warming scenario. The six key regions, which are distributed in different continents of the globe and greatly influenced by ARs, are particularly highlighted. The results show that CMIP6 multi‐model mean with the deep‐learning ensemble method reasonably reproduces the observed AR frequency. In most key regions, both heavy precipitation (90–99 percentile) and extremely heavy precipitation (>99 percentile) are projected to increase in a warming…

  3. 3
    top 0.5%

    Global Application of the Atmospheric River Scale

    Bin Guan, Duane Edward Waliser, Fred Martin Ralph

    76 citationsOpen access (CC-BY-NC-ND)doi:10.1029/2022jd037180OpenAlex

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    Abstract Atmospheric rivers (ARs) are narrow, elongated, transient corridors of enhanced water vapor transport that play important roles in the global water cycle. Increasing scientific and societal interests in ARs prompted the introduction of an AR scale (ranks 1–5, from weak to strong) initially focused on western North America. Aided by a global AR detection algorithm, the current study explores the insights the AR scale can help provide from a global perspective. It is found that AR event count is inversely related to AR rank and peaks in midlatitude oceans. Out of all precipitation occurrences, ARs account for an increasing fraction as the precipitation intensity considered increases. Over the oceans, this fraction is composed of comparable contributions from the five AR ranks, but the contribution of AR 5 is much smaller over land. Higher‐ranked ARs tend to initiate at lower latitudes, terminate at higher latitudes, but follow a less sloped track due to longer zonal displacement. Sensitivity analysis indicates that if ARs are defined using a sole IVT threshold of 250 kg m −1…

  4. 4
    top 0.6%

    Triple‐Dip La Niñas in 1998–2001 and 2020–2023: Impact of Mean State Changes

    Xiaofan Li, Zeng‐Zhen Hu, Michael James McPhaden, Congwen Zhu, Yunyun Liu

    69 citationsOpen accessdoi:10.1029/2023jd038843OpenAlex

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    Abstract This study compares the evolution of atmospheric and oceanic anomalies as well as predictions for the two most recent triple‐dip La Niña events in 1998–2001 and 2020–2023. Subsurface cooling in the equatorial Pacific was stronger and more persistent during 1998–2001. In contrast, surface easterly winds were stronger during 2020–2023 as was the east‐west sea surface temperature (SST) contrast along the equator. We argue that in the absence of appreciable equatorial Pacific heat discharge, persistent and strong surface trade winds and a strengthened mean zonal SST contrast across the tropical Pacific contributed to the development of the 2020–2023 triple‐dip La Niña. In terms of the subsurface layer heat budget, the growth and maintenance of unusually cold SSTs during the triple‐dip La Niña in 1998–2001 were mainly the result of ocean vertical entrainment and diffusion, as well as meridional advection, associated with enhanced equatorial upwelling; while for the triple‐dip La Niña in 2020–2023, zonal advection was the largest contributor. The two events were mostly well…

  5. 5
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    The Fifth Generation Regional Climate Modeling System, RegCM5: Description and Illustrative Examples at Parameterized Convection and Convection‐Permitting Resolutions

    Filippo Giorgi, Erika Coppola, Graziano Giuliani, James Ciarlo, Emanuela Pichelli and 6 more

    69 citationsOpen accessdoi:10.1029/2022jd038199OpenAlex

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    Abstract We introduce the latest version of the RegCM regional climate modeling system, RegCM5. Compared to the previous model version (RegCM4) the main new development is the inclusion of the non‐hydrostatic dynamical core from the weather prediction model MOLOCH, which is more accurate and much more computationally stable and efficient than the previous one. In particular, the new dynamical core is best designed for use at convection‐permitting resolutions of a few km. Several physics schemes and coupled model components have also been upgraded compared to the previous version of the model. A set of test simulations for present day climate conditions at parameterized convection and convection permitting resolutions over different European domains is presented for illustrative purposes. Overall, for these simulations RegCM5 exhibits a better performance than RegCM4 for the majority of statistics analyzed, especially at convection‐permitting resolutions. However, this performance depends on the physics schemes used, and further optimization work is under way to fully test the model…

  6. 6
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    Diverse Dispersion Effects and Parameterization of Relative Dispersion in Urban Fog in Eastern China

    Yuan Wang, Chunsong Lu, Shengjie Niu, Jingjing Lv, Xingcan Jia and 4 more

    64 citationsOpen accessdoi:10.1029/2022jd037514OpenAlex

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    Abstract Understanding cloud droplet relative dispersion is critical for mitigating the confounding effect of aerosol‐cloud interactions in the simulation of the global climatic patterns. Diverse dispersion effects, meaning that the correlation between relative dispersion ( ε ) and fog droplet number concentration ( N f ) changes from positive to negative as N f increases at a fixed liquid water content ( LWC ) condition, were found in the urban fog observed during the winters of 2017 and 2018 in Nanjing, China. The dominant microphysical processes driving the diverse dispersion effects were found to be activation, condensation, deactivation, evaporation, and sedimentation. The critical first bin (diameter range of 2–4 μm) strength and volume‐mean diameter ( D v ) for classifying the diverse dispersion effects are 0.3–0.4 and 10–12 μm, respectively. The mean dispersion offset ( DO ) was −27.6% for weakening the Twomey effect and 27.5% for enhancing it. Assuming the Gamma distribution for the fog droplet number size distribution, the mean dispersion effect was significantly…

  7. 7
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    Identifying Robust Changes of Extreme Precipitation in Japan From Large Ensemble 5‐km‐Grid Regional Experiments for 4K Warming Scenario

    Hiroaki Kawase, Masaya Nosaka, S. I. Watanabe, Kenji Yamamoto, Tomoya Shimura and 16 more

    61 citationsOpen accessdoi:10.1029/2023jd038513OpenAlex

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    Abstract To evaluate the impacts of global warming on local‐scale extreme precipitation in Japan, 720‐year ensemble dynamical downscaling is conducted by a regional climate model with a 5 km grid spacing. Our dynamical downscaling is based on the large ensemble data set called the database for Policy Decision making for Future climate change (d4PDF). Comparing the historical and 4K warming climates, the annual maximum daily and hourly precipitation are enhanced over Japan due to global warming. The increasing rate of annual maximum daily precipitation is larger over the coast of the Pacific Ocean in eastern and western Japan and the northern parts of Japan. The periods in which the extreme daily precipitation increases in each region depend on the movement of the Baiu front and the number of typhoons from June through September. The 50‐year return value of the maximum 24‐hr land precipitation within 500 km of the typhoon center is 960 mm/24hr in the 5 km experiment. This value is larger by 1.87 times than that of the 20 km experiment. The rate of future increase in the 50‐year…

  8. 8
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    Comprehensive Analysis of the NOAA National Water Model: A Call for Heterogeneous Formulations and Diagnostic Model Selection

    J. Michael Johnson, Shiqi Fang, A. Sankarasubramanian, Arash Modaresi Rad, Luciana Kindl da Cunha and 4 more

    50 citationsOpen access (CC-BY)doi:10.1029/2023jd038534OpenAlex

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    Abstract With an increasing number of continental‐scale hydrologic models, the ability to evaluate performance is key to understanding uncertainty and making improvements to the model(s). We hypothesize that any model, running a single set of physics, cannot be “properly” calibrated for the range of hydroclimatic diversity as seen in the contenintal United States. Here, we evaluate the NOAA National Water Model (NWM) version 2.0 historical streamflow record in over 4,200 natural and controlled basins using the Nash‐Sutcliffe Efficiency metric decomposed into relative performance, and conditional, and unconditional bias. Each of these is evaluated in the contexts of meteorologic, landscape, and anthropogenic characteristics to better understand where the model does poorly, what potentially causes the poor performance, and what similarities systemically poor performing areas share. The primary objective is to pinpoint traits in places with good/bad performance and low/high bias. NWM relative performance is higher when there is high precipitation, snow coverage (depth and fraction),…

  9. 9
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    Stratospheric Climate Anomalies and Ozone Loss Caused by the Hunga Tonga‐Hunga Ha'apai Volcanic Eruption

    Xinyue Wang, William J. Randel, Yunqian Zhu, Simone Tilmes, Jon Starr and 10 more

    50 citationsOpen accessdoi:10.1029/2023jd039480OpenAlex

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    Abstract The Hunga Tonga‐Hunga Ha'apai (HTHH) volcanic eruption in January 2022 injected unprecedented amounts of water vapor (H 2 O) and a moderate amount of the aerosol precursor sulfur dioxide (SO 2 ) into the Southern Hemisphere (SH) tropical stratosphere. The H 2 O and aerosol perturbations have persisted during 2022 and early 2023 and dispersed throughout the atmosphere. Observations show large‐scale SH stratospheric cooling, equatorward shift of the Antarctic polar vortex and slowing of the Brewer‐Dobson circulation. Satellite observations show substantial ozone reductions over SH winter midlatitudes that coincide with the largest circulation anomalies. Chemistry‐climate model simulations forced by realistic HTHH inputs of H 2 O and SO 2 qualitatively reproduce the observed evolution of the H 2 O and aerosol plumes over the first year, and the model exhibits stratospheric cooling, circulation changes and ozone effects similar to observed behavior. The agreement demonstrates that the observed stratospheric changes are caused by the HTHH volcanic influences.

  10. 10
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    Morphology and Fractal Dimension of Size‐Resolved Soot Particles Emitted From Combustion Sources

    Yuner Pang, Minghao Chen, Yuanyuan Wang, Xiyao Chen, Xiaomi Teng and 3 more

    48 citationsOpen accessdoi:10.1029/2022jd037711OpenAlex

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    Abstract Databases of the morphological parameters of fresh size‐resolved soot particles and their systematic comparisons among various combustion sources are important to trace the soot aging process and evaluate their optical properties. Here, the mixing state, effective density ( ρ eff ), monomer number and diameter ( N and d p ), and fractal dimension ( D f ) of size‐resolved soot particles from vehicle emissions (VE), biomass burning (BB), coal combustion (CC), tunnel air (TA) and urban air (UA) were characterized based on electron microscopy observations and analysis. We determined that freshly‐emitted soot particles from combustion sources contain not only bare‐like soot but also some coated‐soot particles. ρ eff (157–689 kg/m 3 ) decreased while N (46–1,500) and d p (24–42 nm) increased with the increased diameter of soot particles. The D f of BB and CC were independent of the diameter changes and fluctuated between 1.65 and 1.80, while the D f of VE and TA (1.62–1.71) increased and UA D f (1.87–1.80) decreased with increasing diameter. Based on D f obtained in this study,…

  11. 11
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    Strong Warming Over the Antarctic Peninsula During Combined Atmospheric River and Foehn Events: Contribution of Shortwave Radiation and Turbulence

    Xun Zou, Penny Marie Rowe, Irina Gorodetskaya, David H. Bromwich, Matthew A. Lazzara and 7 more

    47 citationsOpen access (CC-BY-NC)doi:10.1029/2022jd038138OpenAlex

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    Abstract The Antarctica Peninsula (AP) has experienced more frequent and intense surface melting recently, jeopardizing the stability of ice shelves and ultimately leading to ice loss. Among the key phenomena that can initiate surface melting are atmospheric rivers (ARs) and leeside foehn; the combined impact of ARs and foehn led to moderate surface warming over the AP in December 2018 and record‐breaking surface melting in February 2022. Focusing on the more intense 2022 case, this study uses high‐resolution Polar WRF simulations with advanced model configurations, Reference Elevation Model of Antarctica topography, and observed surface albedo to better understand the relationship between ARs and foehn and their impacts on surface warming. With an intense AR (AR3) intrusion during the 2022 event, weak low‐level blocking and heavy orographic precipitation on the upwind side resulted in latent heat release, which led to a more deep‐foehn like case. On the leeside, sensible heat flux associated with the foehn magnitude was the major driver during the night and the secondary…

  12. 12
    top 1.7%

    Using Space‐Based CO 2 and NO 2 Observations to Estimate Urban CO 2 Emissions

    Emily G. Yang, Eric Adam Kort, Lesley E. Ott, Tomohiro Oda, John C. Lin

    44 citationsOpen access (CC-BY-NC)doi:10.1029/2022jd037736OpenAlex

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    Abstract As the majority of fossil fuel carbon dioxide (CO 2 ) emissions originate from cities, the use of novel techniques to leverage available satellite observations of CO 2 and proxy species to constrain urban CO 2 is of great importance. In this study, we seek to empirically determine relationships between satellite observations of CO 2 and the proxy species nitrogen dioxide (NO 2 ), applying these relationships to NO 2 fields to generate NO 2 ‐derived CO 2 fields (NDCFs) from which CO 2 emissions can be estimated. We first establish this method using simulations of CO 2 and NO 2 for the cities of Buenos Aires, Melbourne, and Mexico City, finding that the method is viable throughout the year. For the same three cities, we next calculate empirical relationships (slopes) between co‐located observations of NO 2 from the Tropospheric Monitoring Instrument and Snapshot Area Mode observations of CO 2 from Orbiting Carbon Observatory‐3. Applying varying combinations of slopes to generate NDCFs, we evaluate methodological uncertainties for each slope application method and use a simple…

  13. 13
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    Characteristics, Origins, and Atmospheric Processes of Amines in Fine Aerosol Particles in Winter in China

    Tang Liu, Yu Xu, Qibin Sun, Hong‐Wei Xiao, Ren‐Guo Zhu and 5 more

    42 citationsOpen accessdoi:10.1029/2023jd038974OpenAlex

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    Abstract Amines affect particle formation, aerosol acidity, nitrogen cycle, and climate change. However, little is known about the temporal and spatial differences in the composition, source, and formation process of amines in fine particulate matter (PM2.5) in different regions of China. Seven amines (amine salts) were investigated in PM2.5 collected in the Yangtze River Delta (YRD, Shanghai and Nanjing), Pearl River Delta (PRD, Guangzhou), northern China (Xi'an and Haerbin), and background (Puding) areas in winter 2017–2018. Methylamine was the dominant amine species at the YRD, northern China, and background sites, while diethylamine dominated at the PRD site; moreover, the mass concentration and fraction of diethylamine were the lowest at the background site. These results could be attributed to changes in sources and atmospheric processes. Further, coal combustion and biomass burning were found to be important contributors of amines in northern cities in winter. The contribution of biomass and coal combustion to amines was weakened in other urban sites. In contrast, the amine…

  14. 14
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    Groundwater Depletion Rate Over China During 1965–2016: The Long‐Term Trend and Inter‐annual Variation

    Zhongwei Huang, Xing Yuan, Siao Sun, Guoyong Leng, Qiuhong Tang

    42 citationsOpen accessdoi:10.1029/2022jd038109OpenAlex

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    Abstract Many countries have experienced the increase of groundwater depletion rate (GWDR), posing great challenges to the environment and society. Given the slow variation of groundwater, long‐term estimation of GWDR at high‐resolution is critical for sustainable managements of regional water resources and risks of hydrological extremes in a changing climate. However, limited in‐situ and satellite observations and uncertainties from hydrological model simulations prohibit reliable estimation of the long‐term trend and inter‐annual variation of GWDR. Using survey‐based water withdrawal and water availability datasets, this study provided a spatially distributed estimation of annual GWDR over China at the 0.25° × 0.25° grid scale for the period 1965–2016 using a flux‐based approach. The estimated GWDR has higher spatial resolution and longer temporal coverage than previous products. With the newly compiled data, we found that groundwater over China was depleted at an average rate of 20.4 km3 year−1 during 1965–2016, especially in the arid and semi‐arid areas of northern China. The…

  15. 15
    top 2.1%

    Unprecedented July Rainfall in North China in 2021: Combined Effect of Atlantic Warming and Arctic Sea‐Ice Loss

    Xuefeng Liu, Zhiwei Zhu, Rui Min Lu, Zishu Miao, Wei Li and 1 more

    39 citationsdoi:10.1029/2022jd038068OpenAlex

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    Abstract Record‐breaking July‐mean precipitation hit North China in 2021, resulting in huge economic losses and human casualties. The prevailing easterlies over the southern flank of a remarkable anomalous anticyclone centered over the Kuril Islands transported sufficient water vapor into North China, resulting in persistent downpours on the windward side of the North China Plain. The anomalous anticyclone was a portion of the Eurasian Rossby wave trains. The record‐high Atlantic sea surface temperature anomalies induced the Rossby wave trains, which ended with an anomalous anticyclone over the Kuril Islands; meanwhile, the record‐low sea‐ice concentration over the Laptev–East Siberian Seas reinforced the anomalous anticyclone. Therefore, the combined effect of Atlantic and Arctic thermal forcings caused the record‐breaking July‐mean rainfall in North China in 2021. Using these two boundary layer forcings as independent predictors to run a multiple regression model produced encouraging hindcasting skills.

  16. 16
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    Strong Evidence of Heterogeneous Processing on Stratospheric Sulfate Aerosol in the Extrapolar Southern Hemisphere Following the 2022 Hunga Tonga‐Hunga Ha'apai Eruption

    Michelle L. Santee, Alyn Lambert, L. Froidevaux, G. L. Manney, Michael Jonathan Schwartz and 5 more

    39 citationsOpen access (CC-BY-NC)doi:10.1029/2023jd039169OpenAlex

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    Abstract The January 2022 eruption of Hunga Tonga‐Hunga Ha'apai (HT‐HH) caused the largest enhancement in stratospheric aerosol loading in decades and produced an unprecedented enhancement in stratospheric water vapor, leading to strong stratospheric cooling that in turn induced changes in the large‐scale circulation. Here we use satellite measurements of gas‐phase constituents together with aerosol extinction to investigate the extent to which the thick aerosol, excess moisture, and strong cooling enabled heterogeneous chemical processing. In the southern tropics, unambiguous signatures of substantial chlorine and nitrogen repartitioning appear over a broad vertical domain almost immediately after the eruption, with depletion of N 2 O 5 , NO x , and HCl accompanied by enhancement of HNO 3 , ClO, and ClONO 2 . After initially rising steeply, HNO 3 and ClO plateau, maintaining fairly constant abundances for several months. These patterns are consistent with the saturation of N 2 O 5 hydrolysis, suggesting that this reaction is the primary mechanism for the observed composition…

  17. 17
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    Ubiquity of Anthropogenic Terpenoids in Cities Worldwide: Emission Ratios, Emission Quantification and Implications for Urban Atmospheric Chemistry

    Agnès Borbon, Pamela Dominutti, Anastasia Panopoulou, Valérie Gros, Stéphane Sauvage and 13 more

    39 citationsOpen accessdoi:10.1029/2022jd037566OpenAlex

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    Abstract Terpenoids (isoprene and monoterpenes) are highly reactive Volatile Organic Compounds (VOCs) known for decades for their biogenic origin. Here, we discuss the nature and magnitude of their anthropogenic emissions. We compiled and re‐analyzed 14 data sets of in situ VOC observations collected over the last decade in contrasting urban areas from mid‐latitudes to subtropical regions. We show the systematic presence of anthropogenic terpenoids in urban ambient air with clear covariations with anthropogenic compounds ( R 2 > 0.50) even during mid‐latitude winters. Despite the emerging importance of monoterpene emissions from consumer products in North American cities, there is some evidence of monoterpene emissions from tailpipe exhaust in cities of the developing world. The traffic‐related fraction of monoterpenes is estimated and can account for up to 40% of their ambient levels. The anthropogenic emission ratios (ER) of some terpenoids (isoprene, α ‐pinene and limonene) are estimated and spatially compared. The anthropogenic emissions of terpenoids are indirectly estimated…

  18. 18
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    Reconciling Observations of Solar Irradiance Variability With Cloud Size Distributions

    Wouter Mol, Bart J. H. van Stratum, Wouter Knap, Chiel C. van Heerwaarden

    39 citationsOpen access (CC-BY)doi:10.1029/2022jd037894OpenAlex

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    Abstract Clouds cast shadows on the surface and locally enhance solar irradiance by absorbing and scattering sunlight, resulting in fast and large solar irradiance fluctuations on the surface. Typical spatiotemporal scales and driving mechanisms of this intra‐day irradiance variability are not well known, hence even 1 day ahead forecasts of variability are inaccurate. Here, we use long‐term, high‐frequency solar irradiance observations combined with satellite imagery, numerical simulations, and conceptual modeling to show how irradiance variability is linked to the cloud size distribution. Cloud shadow sizes are distributed according to a power law over multiple orders of magnitude, deviating only from the cloud size distribution due to cloud edge transparency at scales below ≈750 m. Locally cloud‐enhanced irradiance occurs as frequently as shadows, and is similarly driven mostly by boundary layer clouds, but distributed over a smaller range of scales. We reconcile studies of solar irradiance variability with those on clouds, which brings fundamental understanding to what drives…

  19. 19
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    The Representation of Sea Salt Aerosols and Their Role in Polar Climate Within CMIP6

    Rémy Lapere, Jennie L. Thomas, Louis Marelle, Annica M. L. Ekman, Markus Michael Frey and 9 more

    38 citationsOpen access (CC-BY)doi:10.1029/2022jd038235OpenAlex

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    Abstract Natural aerosols and their interactions with clouds remain an important uncertainty within climate models, especially at the poles. Here, we study the behavior of sea salt aerosols (SSaer) in the Arctic and Antarctic within 12 climate models from CMIP6. We investigate the driving factors that control SSaer abundances and show large differences based on the choice of the source function, and the representation of aerosol processes in the atmosphere. Close to the poles, the CMIP6 models do not match observed seasonal cycles of surface concentrations, likely due to the absence of wintertime SSaer sources such as blowing snow. Further away from the poles, simulated concentrations have the correct seasonality, but have a positive mean bias of up to one order of magnitude. SSaer optical depth is derived from the MODIS data and compared to modeled values, revealing good agreement, except for winter months. Better agreement for aerosol optical depth than surface concentration may indicate a need for improving the vertical distribution, the size distribution and/or hygroscopicity of…

  20. 20
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    North Atlantic Tropical Cyclone Size and Storm Surge Reconstructions From 1950‐Present

    Avantika Gori, Ning Lin, Benjamin A. Schenkel, Daniel R. Chavas

    37 citationsOpen access (CC-BY-NC)doi:10.1029/2022jd037312OpenAlex

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    Abstract Tropical cyclones (TCs) are one of the greatest threats to coastal communities along the US Atlantic and Gulf coasts due to their extreme wind, rainfall and storm surge. Analyzing historical TC climatology and modeling TC hazards can provide valuable insight to planners and decision makers. However, detailed TC size information is typically only available from 1988 onward, preventing accurate wind, rainfall, and storm surge modeling for TCs occurring earlier in the historical record. To overcome temporally limited TC size data, we develop a database of size estimates that are based on reanalysis data and a physics‐based model. Specifically, we utilize ERA5 reanalysis data to estimate the TC outer size, and a physics‐based TC wind model to estimate the radius of maximum wind. We evaluate our TC size estimates using two high‐resolution wind data sets as well as Best Track information for a wide variety of TCs. Using the estimated size information plus the TC track and intensity, we reconstruct historical storm tides from 1950 to 2020 using a basin‐scale hydrodynamic model and…

  21. 21
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    Comparing Urban Anthropogenic NMVOC Measurements With Representation in Emission Inventories—A Global Perspective

    Erika von Schneidemesser, Brian McDonald, Hugo Denier van der Gon, Monica Crippa, Diego Guizzardi and 8 more

    36 citationsOpen access (OTHER-OA)doi:10.1029/2022jd037906OpenAlex

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    Abstract Emission inventories are a critical basis for air quality and climate modeling, as well as policy decisions. Non‐methane volatile organic compounds (NMVOCs) are key precursor compounds in ozone and secondary organic aerosol formation. Accurately representing NMVOCs in emission inventories is crucial for understanding atmospheric chemistry, the impact of policy measures, and climate projections. Improving NMVOC representation in emission inventories is fraught with challenges, ranging from the lack of (long‐term) NMVOC measurements, limited efforts in updating emission factors, to the diversity of NMVOC species reactivity. Here we take an initial step to evaluate the representation of urban NMVOC speciation in an emission inventory (EDGARv4.3.2 and EDGARv6.1) at the global level. To compare the urban measurements of NMVOCs to the emission inventory estimates, ratios of individual NMVOCs to acetylene are used. Owing to limitations in measurement data and grouping of NMVOCs in emission inventories, the comparison includes only a limited number of alkanes, alkenes, and…

  22. 22
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    Significant Northward Jump of the Western Pacific Subtropical High: The Interannual Variability and Mechanisms

    YaNing Wang, Haibo Hu, Xuejuan Ren, Xiu‐Qun Yang, Kefeng Mao

    36 citationsOpen accessdoi:10.1029/2022jd037742OpenAlex

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    Abstract The intensity and position of the western Pacific subtropical high (WPSH) have crucial effects on climate and disaster events in East Asia during summer. The WPSH significant northward jump (SNJ) events are the main manifestation of the seasonal evolution of WPSH, which are important for the precipitation over East Asia. Using the daily reanalysis data sets from year 1979 to 2020, this study further defines the early and late SNJ events of WPSH on the interannual timescale, which are connected separately with the tropical, midlatitude subseasonal signals and the local air–sea interaction. However, the mechanisms of the WPSH‐SNJ events are different in the anomalous early and late years. In the early SNJ years, the subseasonal signals from the midlevel East Asia–Pacific teleconnection pattern or the low‐level boreal summer intraseasonal oscillation cause the positive 500 hPa geopotential height anomalies, which contributes to the significant WPSH northward jump in the first pentad of July. However, the above factors are unable to cause the WPSH‐SNJ in the late years. Until…

  23. 23
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    The Precipitation Characteristics of Mesoscale Convective Systems Over Europe

    Nicolas A. Da Silva, Jan O. Haerter

    35 citationsOpen access (CC-BY)doi:10.1029/2023jd039045OpenAlex

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    Abstract Mesoscale convective systems (MCSs) are common over Europe and can produce severe weather, including extreme precipitation that leads to flash floods. The few studies analyzing the climatological characteristics of MCSs over Europe are either focusing on only few years of data or on limited subareas. Using the recent Integrated MultisatellitE Retrievals for Global Precipitation Measurement (IMERG) satellite precipitation climatology, we identify and track MCSs for 16 years over Europe. The tracking algorithm relies on the overlap of precipitation features between consecutive time steps and, unlike previous studies, uses lightning data to distinguish convective from stratiform rain patches, which can reduce potential identification errors. We analyze this new European MCS climatology to characterize MCS precipitation properties and conclude the following results: MCSs overall occur most frequently over the Mediterranean and Atlantic during fall and winter, whereas during summer, they concentrate over the continent. Typically, more than a third of seasonal precipitation can…

  24. 24
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    Causes and Predictions of 2022 Extremely Hot Summer in East Asia

    Xiaofan Li, Zeng‐Zhen Hu, Yunyun Liu, Liang Ping, Bhaskar Jha

    34 citationsOpen accessdoi:10.1029/2022jd038442OpenAlex

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    Abstract In the background of long‐term global warming, the northern hemisphere experienced an extremely hot summer in 2022 with the hottest on record for Europe and China, and the second‐hottest for North America and Asia. The hot summer concurred with a triple‐dip La Niña in the tropical Pacific. Given the extremity of the hot summer in East Asia in 2022, in this work, we examine the associated atmospheric circulation and assess the real‐time predictions from the North American Multimodel Ensemble (NMME). Also, we identify the contributions of long‐term warming trends, sea surface temperature (SST) forcing, and an atmospheric feedback to the hot summer. The hot summer in East Asia in 2022 is due to the extremely strong and westward expanded western Pacific subtropical high. That leads to cloud cover reduction and increases in net downward shortwave radiation at the surface, and further strengthens the positive surface air temperature (SAT) anomalies. In contrast, the seasonal‐interannual variation of SST has a minor impact. Thus, the hot summer is mainly associated with the…

  25. 25
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    Effects of Typhoon In‐Fa (2021) and the Western Pacific Subtropical High on an Extreme Heavy Rainfall Event in Central China

    Chenhong Rao, Guanghua Chen, Lingkun Ran

    33 citationsOpen access (CC-BY-NC)doi:10.1029/2022jd037924OpenAlex

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    Abstract An extreme heavy rainfall event in Henan Province (HnHRE) of central China in July 2021, which is jointly affected by the western Pacific subtropical high (WPSH) and Typhoon In‐Fa (2021), is comprehensively studied through five experiments conducted using the Weather Research and Forecasting Model (WRF). The patterns of the WPSH, In‐Fa, and precipitation are well reproduced in the control experiment. The magnitude of potential vorticity (PV) anomaly associated with the WPSH (In‐Fa) is increased and decreased by 50% in the initial condition based on the piecewise PV inversion method, namely, SH150 and SH050 (TC150 and TC050), respectively. The analysis shows that the 54‐hr rainfall accumulations in TC150 and TC050 are reduced by 39.5% and 31.8%, respectively, more than 28.8% in SH150 and 20.1% in SH050, indicating that Typhoon In‐Fa plays a more critical role in the rainfall amplification than the WPSH. This result also confirms that the HnHRE occurs within the quite favorable configuration of WPSH and In‐Fa circulations. The WPSH and In‐Fa majorly control the meridional and…

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    Formation Mechanisms and Source Apportionments of Nitrate Aerosols in a Megacity of Eastern China Based On Multiple Isotope Observations

    Mei‐Yi Fan, Wenqi Zhang, Yanlin Zhang, Jianghanyang Li, Huan Fang and 5 more

    33 citationsdoi:10.1029/2022jd038129OpenAlex

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    Abstract Inorganic nitrate (NO 3 − ) is a crucial component of fine particulate matter (PM 2.5 ) in haze events in China. Understanding the formation mechanisms of nitrate and the sources of NO x was critical to control the air pollution. In this study, measurements of multiple isotope compositions of nitrate (δ 18 O‐NO 3 − , δ 17 O‐NO 3 − , and δ 15 N‐NO 3 − ) in PM 2.5 were conducted in Hangzhou from 9 October 2015 to 24 August 2016. Our results showed that oxygen anomaly of nitrate (Δ 17 O‐NO 3 − : 20.0‰–37.9‰) and nitrogen isotope of nitrate (δ 15 N‐NO 3 − : −2.9‰ to 18.1‰) values were higher in winter and lower in summer. Based on Δ 17 O‐NO 3 − observation and a Bayesian model, NO 3 radical chemistry was found to dominate the nitrate formation in winter, while photochemical reaction (NO 2 + OH) was the main pathway in summer. After considering the nitrogen isotopic fractionation in the NO x (g) ‐NO 3 − (p) conversion, the average contributions of coal combustion, vehicle exhausts, biomass burning, and soil emission were 50% ± 9%, 19% ± 12%, 26% ± 15%, and 5% ± 4%, respectively,…

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    Widespread Frequent Methane Emissions From the Oil and Gas Industry in the Permian Basin

    Pepijn J. Veefkind, Raquel Serrano‐Calvo, J. A. de Gouw, Barbara Klara Dix, Oliver Schneising and 5 more

    33 citationsOpen access (CC-BY)doi:10.1029/2022jd037479OpenAlex

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    Abstract Emissions of methane (CH4) in the Permian basin (USA) have been derived for 2019 and 2020 from satellite observations of the Tropospheric Monitoring Instrument (TROPOMI) using the divergence method, in combination with a data driven method to estimate the background column densities. The resulting CH4 emission data, which have been verified using model data with known emissions, have a spatial resolution of approximately 10 km. The CH4 emissions show moderate spatial correlation with the locations of oil and gas production and drilling activities in the Permian basin, as well as with emissions of nitrogen oxides (NOx). Analysis of the emission maps and time series indicates that a significant fraction of methane emissions in the Permian basin is from frequent widespread emissions sources, rather than from a few infrequent very large unplanned releases, which is important considering possible CH4 emission mitigation strategies. In addition to providing spatially resolved emissions, the divergence method also provides the total emissions of the Permian basin and its main…

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    Secondary Gravity Waves From the Stratospheric Polar Vortex Over ALOMAR Observatory on 12–14 January 2016: Observations and Modeling

    Sharon L. Vadas, Erich Becker, Katrina Bossert, Gerd Baumgarten, Lars Hoffmann and 1 more

    32 citationsdoi:10.1029/2022jd036985OpenAlex

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    Abstract We analyze the gravity waves (GWs) observed by a Rayleigh lidar at the Arctic Lidar Observatory for Middle Atmosphere Research (ALOMAR) (16.08°E, 69.38°N) in Norway at z ∼ 20–85 km on 12–14 January 2016. These GWs propagate upward and downward away from zknee = 57 and 64 km at a horizontally‐displaced location with periods τr ∼ 5–10 hr and vertical wavelengths λz ∼ 9–20 km. Because the hodographs are distorted, we introduce an alternative method to determine the GW parameters. We find that these GWs are medium to large‐scale, and propagate north/northwestward with intrinsic horizontal phase speeds of ∼35–65 m/s. Since the GW parameters are similar above and below zknee, these are secondary GWs created by local body forces (LBFs) south/southeast of ALOMAR. We use the nudged HIAMCM (HIgh Altitude Mechanistic general Circulation Model) to model these events. Remarkably, the model reproduces similar GW structures over ALOMAR, with zknee = 58 and 66 km. The event #1 GWs are created by a LBF at ∼35°E, ∼60°N, and z ∼ 58 km. This LBF is created by the breaking and dissipation of…

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    Compounding Heatwave‐Extreme Rainfall Events Driven by Fronts, High Moisture, and Atmospheric Instability

    Christoph Alexander Sauter, Jennifer L. Catto, Hayley Jane Fowler, Seth Westra, Christopher J. White

    31 citationsOpen access (CC-BY)doi:10.1029/2023jd038761OpenAlex

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    Abstract Heatwaves have been shown to increase the likelihood and intensity of extreme rainfall occurring immediately afterward, potentially leading to increased flood risk. However, the exact mechanisms connecting heatwaves to extreme rainfall remain poorly understood. In this study, we use weather type data sets for Australia and Europe to identify weather patterns, including fronts, cyclones, and thunderstorm conditions, associated with heatwave terminations and following extreme rainfall events. We further analyze, using reanalysis data, how atmospheric instability and moisture availability change before and after the heatwave termination depending on whether the heatwave is followed by extreme rainfall, as well as the location of the heatwave. We find that most heatwaves terminate during thunderstorm and/or frontal conditions. Additionally, atmospheric instability and moisture availability increase several days before the heatwave termination; but only if heatwaves are followed by extreme rainfall. We also find that atmospheric instability and moisture after a heatwave are…

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    Study of Urban Thermal Environment and Local Circulations of Guangdong‐Hong Kong‐Macao Greater Bay Area Using WRF and Local Climate Zones

    Rui Xin, Xian‐Xiang Li, Yurong Shi, Lei Li, Yuejuan Zhang and 2 more

    31 citationsOpen accessdoi:10.1029/2022jd038210OpenAlex

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    Abstract The Guangdong‐Hong Kong‐Macao Greater Bay Area (GBA), a cluster of world‐class cities, is undergoing rapid urbanization. However, the heterogeneity of the urban thermal environment resulting from the diversity of urban forms is not yet fully understood. This paper assesses the heterogeneity of the urban heat island (UHI) effect in the GBA using the coupled Weather Research and Forecasting (WRF) model/multi‐layer urban canopy and building energy model (BEP/BEM), with high‐resolution local climate zone (LCZ) map as urban land use/land cover data. The average UHI intensity is found to peak at 1.8 ± 0.4°C in the evening, when the average UHI intensity of LCZ 2 can reach a maximum of 2.4 ± 0.58°C. Properly setting air‐conditioning temperatures can effectively prevent the enhancement of the UHI phenomenon at night by the anthropogenic heat (AH) released from air‐conditioning. The UHI‐induced local circulations and enhanced surface roughness inhibit the penetration of sea breezes inland, and surface wind speed decreases in all LCZs, with a maximum change of more than 0.8 m s −1 .…

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    Impacts of Synoptic Patterns and Meteorological Factors on Distribution Trends of Ozone in Southeast China During 2015–2020

    Xiaoting Ji, Youwei Hong, Yiling Lin, Ke Xu, Gaojie Chen and 10 more

    31 citationsOpen accessdoi:10.1029/2022jd037961OpenAlex

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    Abstract Surface ozone (O3) pollution under global climate change has become one of the top environmental issues. In this study, we focused on the coastal region in Southeast China with relatively low O3 precursor's emissions and complicated synoptic conditions, where the O3 trends and meteorological contributions remain unclear. An increasing trend of O3 concentrations in the cities (0.3–4.6 μg m−3 yr−1) from 2015 to 2020 was observed. Twenty‐three synoptic patterns were clustered based on weather typing method, in which cyclone‐related types and southwesterly type were generally associated with low O3 concentrations, and high O3 levels occurred with anticyclone‐related types. Considering both frequency and intensity of synoptic patterns, reconstructed O3 series captured 46.0%–58.3% of the observed variability. Using Kolmogorov‐Zurbenko filter, an increasing trend of long‐term O3 was found. By implementing the multiple linear regression model between O3 concentrations and meteorological factors, the meteorological contributions to O3 variabilities (44.7%–66.1%) were quantified. The…

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    Marine Cold‐Air Outbreak Snowfall in the North Atlantic: A CloudSat Perspective

    Marian E. Mateling, Claire Pettersen, Mark S. Kulie, Tristan L’Ecuyer

    31 citationsOpen access (CC-BY-NC-ND)doi:10.1029/2022jd038053OpenAlex

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    Abstract This study analyzes the influence of marine cold‐air outbreaks (MCAO) on snowfall and cloud properties in the North Atlantic Ocean using CloudSat observations. Comparing reanalysis‐determined MCAO conditions (low‐level instability) against “non‐CAO” conditions, we find that MCAO conditions are associated with predominantly light snowfall rates (<2 mm day −1 liquid water equivalent) whereas non‐CAO conditions are more frequently associated with higher snowfall rates. Near cold‐air sources, such as sea ice or cold continents, MCAO‐forced snowfall rates tend to be more frequent and more intense. Additionally, 76% of snowing clouds identified during MCAO conditions are shallow (mean cloud top height <3 km) stratocumulus, whereas 44% (43%) of clouds in non‐CAO conditions are deeper nimbostratus (stratocumulus). With greater boundary layer instability (stronger MCAO conditions), CloudSat observes higher cloud‐top heights, reflecting a deepening boundary layer and the presence of two distinct cloud modes during MCAO conditions.

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    Soil Moisture and Atmospheric Aridity Impact Spatio‐Temporal Changes in Evapotranspiration at a Global Scale

    Wenmin Zhang, Julian Koch, Fangli Wei, Zhenzhong Zeng, Zhongxiang Fang and 1 more

    31 citationsOpen access (CC-BY-NC)doi:10.1029/2022jd038046OpenAlex

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    Abstract Evapotranspiration (ET) constitutes the water exchange from land to the atmosphere, which in turn modulates precipitation and soil moisture (SM). Multiple lines of evidence document complex feedbacks between changes in ET and temperature, atmospheric CO 2 and vegetation greening. However, the existing analyses on global changes in ET do not account for the direct effects of SM supply and atmospheric water demand, expressed by vapor pressure deficit (VPD), while considering multiple environmental variables. Here we evaluated the performance of ET products using 140 flux towers included in the FLUXNET database. All ET products show reasonable performance, with an overall correlation higher than 0.7 and better performance at a higher latitude. From analysis of the ensemble mean of annual ET, we show insignificant ( P = 0.06) trends in global ET during 1982–2020 and a significantly ( P < 0.01) increasing trend during 2002–2020. Changes in GLEAM ET generally exert a positive response to changes in SM and a negative response to changes in VPD. Yet, these effects are not globally…

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    Future Simulated Changes in Central U.S. Mesoscale Convective System Rainfall Caused by Changes in Convective and Stratiform Structure

    Erin Dougherty, Andreas Franz Prein, E. D. Gutmann, Andrew J. Newman

    31 citationsOpen accessdoi:10.1029/2022jd037537OpenAlex

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    Abstract Mesoscale convective systems (MCSs) are responsible for a majority of warm season flash flood events in the central U.S. Given their high impact, it is critical to understand how MCSs will change in a future climate. This study identifies eight flood‐producing MCS cases of different archetypes and runs ensembles of 192 high‐resolution historical and future simulations in order to analyze the range in future MCS rainfall and structural changes. Future area‐average rainfall increases by 98% on average, with an 89%–111% range among ensemble members, while maximum rainfall increases by 31%, with a 24%–43% range. MCSs components are classified into deep convective cores (DCCs), wide convective cores (WCCs), and broad stratiform regions (BSRs) to understand how changes in these structures contribute to future rainfall changes. In a warmer climate, the number of DCCs increase on average by +30 (+5,545%), the average WCC area increases by 75%, and the average BSR area increases by 40%. The future rainfall increases are mainly due to increases in convective rainfall with large…

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    PDO and AMO Modulation of the ENSO–Asian Summer Monsoon Teleconnection During the Last Millennium

    Na Wang, Sylvia Genevieve Dee, Jun Hu, Nathan Steiger, Kaustubh Thirumalai

    30 citationsdoi:10.1029/2023jd039638OpenAlex

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    Abstract Observations show that the teleconnection between the El Niño‐Southern Oscillation (ENSO) and the Asian summer monsoon (ASM) is non‐stationary. However, the underlying mechanisms are poorly understood due to inadequate availability of reliable, long‐term observations. This study uses two state‐of‐the‐art data assimilation‐based reconstructions of last millennium climate to examine changes in the ENSO–ASM teleconnection; we investigate how modes of (multi‐)decadal climate variability (namely, the Pacific Decadal Oscillation, PDO, and the Atlantic Multidecadal Oscillation, AMO) modulate the ENSO–ASM relationship. Our analyses reveal that the PDO exerts a more pronounced impact on ASM variability than the AMO. By comparing different linear regression models, we find that including the PDO in addition to ENSO cycles can improve prediction of the ASM, especially for the Indian summer monsoon. In particular, dry (wet) anomalies caused by El Niño (La Niña) over India become enhanced during the positive (negative) PDO phases due to a compounding effect. However, composite…

  36. 36
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    Mesospheric Temperature and Circulation Response to the Hunga Tonga‐Hunga‐Ha'apai Volcanic Eruption

    Wandi Yu, Rolando R. García, Jia Yue, Anne K. Smith, Xinyue Wang and 6 more

    30 citationsOpen access (CC-BY-NC-ND)doi:10.1029/2023jd039636OpenAlex

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    Abstract The Hunga Tonga Hunga‐Ha'apai (HTHH) volcanic eruption on 15 January 2022 injected water vapor and SO 2 into the stratosphere. Several months after the eruption, significantly stronger westerlies, and a weaker Brewer‐Dobson circulation developed in the stratosphere of the Southern Hemisphere and were accompanied by unprecedented temperature anomalies in the stratosphere and mesosphere. In August 2022, the Sounding of the Atmosphere using Broadband Emission Radiometry (SABER) satellite instrument observed record‐breaking temperature anomalies in the stratosphere and mesosphere that alternate signs with altitude. Ensemble simulations carried out with the Whole Atmosphere Community Climate Model (WACCM6) indicate that the strengthening of the stratospheric westerlies explains the mesospheric temperature changes. The stronger westerlies cause stronger westward gravity wave drag in the mesosphere. Although the enhanced gravity wave drag is partly balanced by a weakening of planetary wave forcing, the net result is an acceleration of the mesospheric mean meridional circulation.…

  37. 37
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    Future Projections of the El Niño—Southern Oscillation and Tropical Pacific Mean State in CMIP6

    Nathan E. Erickson, Christina M. Patricola

    30 citationsOpen access (CC-BY-NC-ND)doi:10.1029/2022jd037563OpenAlex

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    Abstract The El Niño—Southern Oscillation (ENSO) is an important mode of tropical Pacific atmosphere‐ocean variability that drives teleconnections with weather and climate globally. However, prior studies using state‐of‐the‐art climate models lack consensus regarding future ENSO projections and are often impacted by tropical Pacific sea‐surface temperature (SST) biases. We used 173 simulations from 29 climate models participating in the Coupled Model Intercomparison Project, version 6 (CMIP6) to analyze model biases and future ENSO projections. We analyzed two ENSO indices, namely the ENSO Longitude Index (ELI), which measures zonal shifts in tropical Pacific deep convection and accounts for changes in background SST, and the Niño 3.4 index, which measures SST anomalies in the central‐eastern equatorial Pacific. We found that the warm eastern tropical‐subtropical Pacific SST bias typical of previous generations of climate models persists into many of the CMIP6 models. Future projections of ENSO shift toward more El Niño‐like conditions based on ELI in 48% of simulations and 55% of…

  38. 38
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    Projection of Future Fire Emissions Over the Contiguous US Using Explainable Artificial Intelligence and CMIP6 Models

    Sing‐Chun Wang, Lai-Yung Ruby Leung, Yun Qian

    30 citationsOpen access (CC-BY)doi:10.1029/2023jd039154OpenAlex

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    Abstract Increasing temperature and water cycle changes due to warming climate may increase the frequency and intensity of wildfires. Fire emission projections are useful for informing strategies for adaptation and mitigation of fire impacts on societies and ecosystems. Here, we construct a neural network (NN) model explained by the Shapley Additive explanation to predict fire PM 2.5 emissions change and understand their drivers over the contiguous US (CONUS) in the mid‐21st century under a high greenhouse gas emissions scenario (SSP5‐8.5). Using future meteorology and leaf area index (LAI) simulated by eight global climate models from the Coupled Model Intercomparison Project Phase 6, future population density, and present‐day land use and land cover (LULC) as input to the NN model, the total fire PM 2.5 emissions over CONUS are projected to increase by 4%–75% (model spread). Among different regions, fire emissions in the western US are projected to increase more significantly in June‐July‐August than in other seasons and regions, with the median ratios of future to present‐day…

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    Deep Learning for Downscaling Tropical Cyclone Rainfall to Hazard‐Relevant Spatial Scales

    Emily Vosper, Peter A. G. Watson, Lucy Harris, Andrew T. T. McRae, Raúl Santos‐Rodríguez and 2 more

    30 citationsOpen access (CC-BY)doi:10.1029/2022jd038163OpenAlex

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    Abstract Flooding, driven in part by intense rainfall, is the leading cause of mortality and damages from the most intense tropical cyclones (TCs). With rainfall from TCs set to increase under anthropogenic climate change, it is critical to accurately estimate extreme rainfall to better support short‐term and long‐term resilience efforts. While high‐resolution climate models capture TC statistics better than low‐resolution models, they are computationally expensive. This leads to a trade‐off between capturing TC features accurately, and generating large enough simulation data sets to sufficiently sample high‐impact, low‐probability events. Downscaling can assist by predicting high‐resolution features from relatively cheap, low‐resolution models. Here, we develop and evaluate a set of three deep learning models for downscaling TC rainfall to hazard‐relevant spatial scales. We use rainfall from the Multi‐Source Weighted‐Ensemble Precipitation observational product at a coarsened resolution of ∼100 km, and apply our downscaling model to reproduce the original resolution of ∼10 km. We…

  40. 40
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    How a Stable Greenhouse Effect on Earth Is Maintained Under Global Warming

    Jing Feng, David J. Paynter, Raymond Menzel

    30 citationsOpen access (CC-BY-NC-ND)doi:10.1029/2022jd038124OpenAlex

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    Abstract In a warming climate, greenhouse gases modulate thermal cooling to space from the surface and atmosphere, which is a fundamental feedback process that affects climate sensitivity. Recent studies have found that when relative humidity (RH) is constant with global warming, Earth's clear‐sky longwave feedback would be dominated by surface cooling to space. Using a millennium‐length coupled general circulation model and accurate line‐by‐line radiative transfer calculations, here we show that the atmospheric cooling to space accounts for 12%–50% of the feedback parameter from poles to tropics. A simple yet comprehensive model is proposed here for explaining the atmospheric feedback process. It is found that when RH is held constant, the atmospheric feedback stabilizes the climate because (a) water vapor spectral lines are weakened by the collision‐broadening effect between water vapor and radiatively inert background gases, and (b) thermal emissions from other greenhouse gases increases due to enhanced Planck emission which is proportional to the surface warming. Each mechanism…

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    Wintertime Synoptic Patterns of Midlatitude Boundary Layer Clouds Over the Western North Atlantic: Climatology and Insights From In Situ ACTIVATE Observations

    David Painemal, Seethala Chellappan, William L. Smith, Douglas A. Spangenberg, J. Minnie Park and 18 more

    30 citationsOpen accessdoi:10.1029/2022jd037725OpenAlex

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    Abstract The winter synoptic evolution of the western North Atlantic and its influence on the atmospheric boundary layer is described by means of a regime classification based on Self‐Organizing Maps applied to 12 years of data (2009–2020). The regimes are classified into categories according to daily 600‐hPa geopotential height: dominant ridge, trough to ridge eastward transition (trough‐ridge), dominant trough, and ridge to trough eastward transition (ridge–trough). A fifth synoptic regime resembles the winter climatological mean. Coherent changes in sea‐level pressure and large‐scale winds are in concert with the synoptic regimes: (a) the ridge regime is associated with a well‐developed anticyclone; (b) the trough‐ridge gives rise to a low‐pressure center over the ocean, ascents, and northerly winds over the coastal zone; (c) trough is associated with the eastward displacement of a cyclone, coastal subsidence, and northerly winds, all representative characteristics of cold‐air outbreaks; and (d) the ridge–trough regime features the development of an anticyclone and weak coastal…

  42. 42
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    Seasonality of the QBO Impact on Equatorial Clouds

    Aodhan John Sweeney, Qiang Fu, Hamid A. Pahlavan, Peter Haynes

    30 citationsOpen access (CC-BY)doi:10.1029/2022jd037737OpenAlex

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    Abstract The Quasi‐Biennial Oscillation (QBO) dominates the interannual variability in the tropical lower stratosphere and is characterized by the descent of alternating easterly and westerly zonal winds. The QBO impact on tropical clouds and convection has received great attention in recent years due to its implications for weather and climate. In this study, a 15‐year record of high vertical resolution cloud observations from CALIPSO and a 50 hPa zonal wind QBO index from ERA5 are used to document the QBO impact on equatorial (10°S–10°N) clouds. Observations from radio occultations, the CERES instrument, and the ERA5 reanalysis are also used to document the QBO impact on temperature, cloud radiative effect (CRE), and zonal wind, respectively. It is shown that the QBO impact on zonal mean equatorial cloud fraction has a strong seasonality. The strongest cloud fraction response to the QBO occurs in boreal spring and early summer, which extends from above the mean tropopause to ∼12.5 km and results in a significant longwave CRE anomaly of 1 W/m 2 . The seasonality of the QBO impact…

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    Convective Impact on the Global Lower Stratospheric Water Vapor Budget

    Rei Ueyama, M. R. Schoeberl, E. J. Jensen, Leonhard Pfister, Mijeong Park and 1 more

    30 citationsOpen access (CC-BY-NC-ND)doi:10.1029/2022jd037135OpenAlex

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    Abstract Water vapor in the stratosphere is primarily controlled by temperatures in the tropical upper troposphere and lower stratosphere. However, the direct impact of deep convection on the global lower stratospheric water vapor budget is still an actively debated issue. Two complementary modeling approaches are used to investigate the convective impact in boreal winter and summer. Convective influence is diagnosed by tracing trajectories through convective cloud top altitude fields derived from global rainfall and brightness temperature data. Backward trajectory model simulations coupled with a detailed treatment of cloud microphysical processes indicate that convection moistens the global lower stratosphere by approximately 0.3 ppmv in boreal winter and summer 2010. The diurnal peak in convection is responsible for about half of the total convective moistening during winter and nearly all of the convective moistening during summer. Deep convective clouds overshooting the tropopause have relatively minor effect on global lower stratospheric water vapor. A forward trajectory model…

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    Secondary Formation of Submicron and Supermicron Organic and Inorganic Aerosols in a Highly Polluted Urban Area

    Yan Cheng Zheng, Ruqian Miao, Qi Zhang, Yaowei Li, Xi Cheng and 8 more

    30 citationsOpen accessdoi:10.1029/2022jd037865OpenAlex

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    Abstract Different adverse health effects of submicron (PM1) and fine particles (PM2.5) may be attributed to their chemical differences, requiring a better understanding of size‐resolved composition. Herein, extensive online measurements were conducted across seasons in Beijing by two aerosol mass spectrometers, one of which alternately sampled PM1 and PM2.5. Source apportionment of organic aerosol (OA) indicated that traffic‐ and cooking‐related OA together accounted for ∼20%−30% of the OA mass in PM2.5, showing insignificant seasonal variations. Coal‐combustion and biomass‐burning‐related OA had minor contributions. The two secondary OA (SOA) factors together accounted for 59%−73% of the OA mass in PM2.5. The mass distributions of particulate components in PM1 and PM2.5 varied greatly across seasons. Secondary formation played a key role in particle size growth during cold seasons. During severe hazes with high aerosol liquid water content (ALWC), the supermicron mass fraction (MF1−2.5) of secondary components reached ∼40%−50% while those for primary OA remained at ∼20%.…

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    The Impact of Climatic Conditions, Human Activities, and Catchment Characteristics on the Propagation From Meteorological to Agricultural and Hydrological Droughts in China

    Xing Cheng, Yuyue Xu, Jianli Chen, Qing Liu

    29 citationsOpen accessdoi:10.1029/2023jd039735OpenAlex

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    Abstract Droughts are one of the most frequent and destructive natural disasters worldwide. In the past decades, drought events in China are frequent and caused severe socio‐economic losses. To better predict and manage droughts, the spatiotemporal characteristics of the three types of droughts and propagation time (PT) from meteorological to agricultural and hydrological droughts in China during 1982–2014 were analyzed based on drought indices, while the causes of drought propagation were discussed. The results showed that meteorological droughts exhibited an insignificant trend. Agricultural droughts mainly aggravated in the northeastern and central regions. And the hydrological droughts were long‐lasting and exacerbated in most areas. The propagation speed from meteorological to agricultural and hydrological droughts was extremely rapid (1–2 months) in southeast China, and the relationships among droughts were close (correlation coefficient/ R > 0.6). The propagation from meteorological to hydrological droughts was slower (6–8 months) in central China. In northwest China, the…

  46. 46
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    Structural Collapse and Coating Composition Changes of Soot Particles During Long‐Range Transport

    Jian Zhang, Weijun Li, Yuanyuan Wang, Xiaomi Teng, Yinxiao Zhang and 5 more

    29 citationsOpen accessdoi:10.1029/2023jd038871OpenAlex

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    Abstract Soot particles play an important role in warming the atmosphere, but their optical absorption is highly uncertain due to their variable morphology and mixing states. Compared to short‐range transport, soot particles during long‐range transport normally undergo complicated aging processes. Here, we investigated the changes in microphysical properties and mixing states of soot particles during their long‐range transport in Eastern China. The dominant mixing state of soot particles transformed from partly coated at 60% by number to embedded status at 67% when they were transported to a downwind region 1,000 km away under cold fronts. The fractal dimension (Df) increased from 1.79 ± 0.05 for partly coated soot and 1.86 ± 0.07 for embedded soot to 1.83 ± 0.06 and 1.93 ± 0.05 following their transportation, respectively. Our study shows that aging processes of soot particles with chain‐like morphology caused their structural collapse. Moreover, we found that coating materials of aged soot particles changed from secondary inorganic‐dominated to organic‐dominated species during…

  47. 47
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    ENSO‐Related Precipitation Variability in Central Chile: The Role of Large Scale Moisture Transport

    Diego Alvaro Campos, Roberto Rondanelli

    29 citationsOpen accessdoi:10.1029/2023jd038671OpenAlex

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    Abstract Interannual variability of precipitation in Central Chile has long been associated with changes in the dry atmospheric dynamics of the Southern Pacific. This is due to the interaction between the extratropical storm track and the polar anticyclonic circulations established by the Pacific South American (PSA) teleconnection mode, which results from changes in tropical convection. Here, we show that an enhanced subtropical moisture transport during the warm ENSO phase leads to an increase in the frequency of atmospheric rivers, larger values of precipitable water, and heightened zonal integrated water vapor transport. This occurs in a region of the Southern Pacific situated between the tropical high and the subtropical low of the PSA mode. These increases in zonal water vapor transport result in greater precipitation and moister, long‐lived atmospheric rivers making landfall in Central Chile.

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    Improved Constraints on the Recent Terrestrial Carbon Sink Over China by Assimilating OCO‐2 XCO2 Retrievals

    Wei He, Fei Jiang, Weimin Ju, Frédéric Chevallier, D. F. Baker and 9 more

    29 citationsOpen accessdoi:10.1029/2022jd037773OpenAlex

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    Abstract The magnitude and distribution of China's terrestrial carbon sink remain uncertain due to insufficient observational constraints; satellite column‐average dry‐air mole fraction carbon dioxide (XCO2) retrievals may fill some of this gap. Here, we estimate China's carbon sink using atmospheric inversions of the Orbiting Carbon Observatory 2 (OCO‐2) XCO2 retrievals within different platforms, including the Global Carbon Assimilation System (GCAS) v2, the Copernicus Atmosphere Monitoring Service, and the OCO‐2 Model Inter‐comparison Project (MIP). We find that they consistently place the largest net biome production (NBP) in the south on an annual basis compared to the northeast and other main agricultural areas during peak growing season, coinciding well with the distribution of forests and crops, respectively. Moreover, the mean seasonal cycle amplitude of NBP in OCO‐2 inversions is obviously larger than that of biosphere model simulations and slightly greater than surface CO2 inversions. More importantly, the mean seasonal cycle of the OCO‐2 inversions is well constrained in…

  49. 49
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    Shifts of Formation Regimes and Increases of Atmospheric Oxidation Led to Ozone Increase in North China Plain and Yangtze River Delta From 2016 to 2019

    Shengqiang Zhu, Jinlong Ma, Siyu Wang, Shida Sun, Peng Wang and 1 more

    29 citationsOpen accessdoi:10.1029/2022jd038373OpenAlex

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    Abstract China is confronting severe ozone (O3) pollution although particulate matter reduced significantly, causing damages to public health and ecological systems. Here we utilized the comprehensive methods of ground‐level observations, satellite data, and source‐oriented chemical transport model to interpret O3 variations throughout China from 2016 to 2019. A remarkably worsened trend of O3 levels has been found both by observation and simulation in these years. Our results showed that the remarkable O3 elevation was found in the North China Plain (NCP) and Yangtze River Delta (YRD) (maximum daily 8 hr average O3 ∼60 ppb) with an annual increasing rate of 10%. In addition, O3 formation regimes also changed in the NCP, where 4.9% grids shifted from VOC‐limited to transition regimes and 9.6% grids shifted from transition to NOx‐limited regimes. The elevation of MDA8 O3 was mainly attributed to the enhanced atmospheric oxidation capacity (AOC) in above regions. Particularly, the increasing rates of OH and HO2 radicals (major oxidants) in NCP and YRD reached ∼15% and ∼5%,…

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    Responses of the AC/DC Global Electric Circuit to Volcanic Electrical Activity in the Hunga Tonga‐Hunga Ha'apai Eruption on 15 January 2022

    József Bór, Tamás Bozóki, Gabriella Sátori, Earle Williams, Sonja A. Behnke and 9 more

    29 citationsOpen access (CC-BY-NC-ND)doi:10.1029/2022jd038238OpenAlex

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    Abstract Responses of the AC and DC global electric circuits (GECs) to the large eruption of the Hunga Tonga‐Hunga Ha'apai (HT‐HH) volcano on 15 January 2022 are discussed. The AC‐related investigation is based on Schumann resonance (SR) measurements from six stations on four continents. The DC‐related investigation utilizes atmospheric electric field (potential gradient, PG) measurements from six recording stations in Europe and the USA. According to data from the GLD360 and WWLLN lightning detection networks, the peak lightning stroke rate, 83/s, was dominated by negative polarity lightning, but the distributions of positive and negative lightning discharges in latitude and longitude around the volcano differed. A global intensification of SR is apparent in connection with the enhanced lightning activity caused by the eruption. SR data‐based results confirm that the lightning activity in the eruption dominated the naturally occurring global activity for a period of about 1 hr. The highly localized increase in lightning activity over HT‐HH was a unique point source of SR…

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The cohort is every article, review and book chapter OpenAlex attributes to Journal of Geophysical Research Atmospheres with publication year 2023, excluding retracted works and paratext such as editorials and errata. The top 50 by citation count are listed; the percentile is the rank divided by the cohort size. 50 of the 50 entries have an abstract in OpenAlex. Counts were read on 29 October 2026 and will not be updated on this page, so a quoted rank stays verifiable. Full rules on the methodology page.

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