Publications

2026

1. EGUsphere

   

   Process-level contributions to uncertainty in aerosol effective radiative forcing: a perturbed parameter ensemble with the aerosol–climate model ICON–HAM

   H. Jia, D. Neubauer, Y. Bhatti, and 18 more authors

   2026

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2. Submitted

   Overestimation of the Twomey effect in orographic clouds over the Southern Tibetan Plateau due to neglected dynamical constraints

   Y. Wang, F. Fang, J. Li, and 4 more authors

   2026
3. In revision

   Constraining aerosol–cloud interactions via the droplet–aerosol trends discrepancy

   H. Wang, Y. Peng, Hailing Jia, and 8 more authors

   2026
4. In revision

   Absorbing aerosols exacerbating the heterogeneity of precipitation profiles

   Y. Sun, C. Zhao, Hailing Jia, and 1 more author

   2026
5. ACP

   

   Susceptibility of marine warm clouds to aerosols in different monsoon periods over the South China Sea

   Y. Liu, Hailing Jia, and Y. Han

   Atmospheric Chemistry and Physics, 2026

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6. Nat. Commun.

   

   Strategizing emission cuts in China to mitigate short-term warming from clean air policies

   Y. Zhu, Hailing Jia, H. Li, and 4 more authors

   Nature Communications, 2026

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7. Environ. Res. Lett

   

   Aerosol and non-aerosol drivers of regional trends in top-of-atmosphere albedo over 2002–2020

   N. Clément, Nicolas Bellouin, Olivier Boucher, and 3 more authors

   Environmental Research Letters, 2026

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8. Sci. Adv.

   

   Optimal choice of proxy for cloud condensation nuclei reduces uncertainty in aerosol-cloud-climate forcing

   Hailing Jia^*, Johannes Quaas, Willem Kroese, and 5 more authors

   Science Advances, 2026

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   Aerosol-cloud interactions (ACI) remain the largest uncertainty in anthropogenic climate forcings. Observation-based estimates of instantaneous radiative forcing from ACI (RFaci; the Twomey effect) rely on the choice of aerosol quantities as proxies for cloud condensation nuclei (CCN) concentrations, which differ in their ability to represent cloud-base CCN and data accuracy. Using diverse observations and aerosol-climate models, we evaluate the utility of different proxies with two independent approaches. Both approaches reveal that surface CCN exhibits the smallest bias in predicting RFaci (+5%), followed by aerosol index, surface sulfate and column CCN with similar biases of +25%, while aerosol optical depth and column sulfate show the largest biases (−60% and +92%). Constraining RFaci with the optimal proxy reduces uncertainty from 66 to 43%, yielding a less negative RFaci (−1.0 W m−2) than the unconstrained case (−1.2 W m−2). Our findings highlight the crucial role of proxy constraint in reconciling and improving RFaci estimates. Using optimal proxies for cloud condensation nuclei reduces the uncertainty in aerosol-cloud forcing estimates by one-third.

9. ACP

   

   Uncertainty in aerosol effective radiative forcing from anthropogenic and natural aerosol parameters in ECHAM6.3-HAM2.3

   Yusuf A. Bhatti, Duncan Watson-Parris, Leighton A. Regayre, and 12 more authors

   Atmospheric Chemistry and Physics, 2026

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10. JQSRT

    

    Estimation of Cloud Condensation Nuclei (CCN) using a neural network retrieval algorithm—A synthetic study for SPEXone on the NASA PACE mission

    Neranga K. Hannadige, Guangliang Fu, Bastiaan Diedenhoven, and 3 more authors

    Journal of Quantitative Spectroscopy and Radiative Transfer, 2026

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2025

1. Tellus B

   

   Hemispheric contrast in aerosol-cloud interactions: an attempt for detection and attribution

   Alice Henkes, Hailing Jia, Jan Kretzschmar, and 2 more authors

   Tellus B: Chemical and Physical Meteorology, 2025

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2024

1. CEE

   

   Recent reductions in aerosol emissions have increased Earth’s energy imbalance

   Øivind Hodnebrog, Gunnar Myhre, Caroline Jouan, and 9 more authors

   Communications Earth & Environment, 2024

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2. GRL

   

   Revisiting aerosol–cloud interactions from weekly cycles

   Hailing Jia, Otto Hasekamp, and Johannes Quaas

   Geophysical Research Letters, 2024

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3. Atmos. Res.

   Sensitivity of cloud microphysics to aerosol is highly associated with cloud water content: Implications for indirect radiative forcing

   Y. Wang, Hailing Jia, P. Zhang, and 6 more authors

   Atmospheric Research, 2024

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4. AGU Adv.

   

   Adjustments to climate perturbations—mechanisms, implications, observational constraints

   Johannes Quaas, Timothy Andrews, Nicolas Bellouin, and 21 more authors

   AGU Advances, 2024

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5. npj CAS

   

   In-situ observations reveal weak hygroscopicity in the Southern Tibetan Plateau: implications for aerosol activation and indirect effects

   Y. Wang, J. Li, F. Fang, and 10 more authors

   npj Climate and Atmospheric Science, 2024

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6. ACP

   

   Exploring aerosol–cloud interactions in liquid-phase clouds over eastern China and its adjacent ocean using the WRF-Chem–SBM model

   J. Zhao, X. Ma, Johannes Quaas, and 1 more author

   Atmospheric Chemistry and Physics, 2024

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2023

1. Nat. Clim. Change

   

   Non-linearity of the cloud response postpones climate penalty of mitigating air pollution in polluted regions

   Hailing Jia and Johannes Quaas

   Nature Climate Change, 2023

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2. Rev. Geophys.

   

   Frontiers in satellite-based estimates of cloud-mediated aerosol forcing

   Daniel Rosenfeld, Alexander Kokhanovsky, Tomer Goren, and 7 more authors

   Reviews of Geophysics, 2023

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3. J. Clim.

   

   The timescales of climate responses to carbon dioxide and aerosols

   C. W. Stjern, P. M. Forster, Hailing Jia, and 10 more authors

   Journal of Climate, 2023

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2022

1. ACP

   

   Addressing the difficulties in quantifying droplet number response to aerosol from satellite observations

   Hailing Jia, Johannes Quaas, Edward Gryspeerdt, and 2 more authors

   Atmospheric Chemistry and Physics, 2022

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2. ACP

   

   Robust evidence for reversal of the trend in aerosol effective climate forcing

   Johannes Quaas, Hailing Jia, Chris Smith, and 17 more authors

   Atmospheric Chemistry and Physics, 2022

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3. GRL

   

   Projecting stratocumulus transitions on the albedo–cloud fraction relationship reveals linearity of albedo to droplet concentrations

   Tomer Goren, Graham Feingold, Edward Gryspeerdt, and 4 more authors

   Geophysical Research Letters, 2022

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2021

1. Nat. Commun.

   

   Significant underestimation of radiative forcing by aerosol–cloud interactions derived from satellite-based methods

   Hailing Jia, Xue Ma, Fangqun Yu, and 1 more author

   Nature Communications, 2021

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2020

1. Evaluation of dust extinction and vertical profiles simulated by WRF-Chem with CALIPSO and AERONET over North Africa

   A. A. S. Chaibou, X. Ma, K. R. Kumar, and 3 more authors

   Journal of Atmospheric and Solar-Terrestrial Physics, 2020
2. Comparisons and evaluation of aerosol burden and optical depth in CMIP5 simulations over East Asia

   R. Li, X. Ma, F. Xiong, and 3 more authors

   Journal of Atmospheric and Solar-Terrestrial Physics, 2020

2019

1. Distinct impacts of increased aerosols on cloud droplet number concentration of stratus/stratocumulus and cumulus

   Hailing Jia, X. Ma, F. Yu, and 2 more authors

   Geophysical Research Letters, 2019
2. Is positive correlation between cloud droplet effective radius and aerosol optical depth over land due to retrieval artifacts or real physical processes?

   Hailing Jia, X. Ma, Johannes Quaas, and 2 more authors

   Atmospheric Chemistry and Physics, 2019
3. Exploring aerosol–cloud interaction using VOCALS-REx aircraft measurements

   Hailing Jia, X. Ma, and Y. Liu

   Atmospheric Chemistry and Physics, 2019
4. Spatial and seasonal characteristics of particulate matter and gaseous pollution in China: Implications for control policy

   X. Ma, Hailing Jia, T. Sha, and 2 more authors

   Environmental Pollution, 2019
5. Exploring the influence of two inventories on simulated air pollutants during winter over the Yangtze River Delta

   T. Sha, X. Ma, Hailing Jia, and 3 more authors

   Atmospheric Environment, 2019
6. Aerosol chemical component: Simulations with WRF-Chem and comparison with observations in Nanjing

   T. Sha, X. Ma, Hailing Jia, and 4 more authors

   Atmospheric Environment, 2019
7. Aerosol radiative effects on tropospheric photochemistry with GEOS-Chem simulations

   R. Tian, X. Ma, Hailing Jia, and 3 more authors

   Atmospheric Environment, 2019

2018

1. Spatial and temporal distributions of warm cloud properties in eastern China and its adjacent ocean and their relationships with meteorological conditions

   Hailing Jia, X. Ma, and F. Xiong

   Climatic and Environmental Research, 2018
2. Opposite aerosol index-cloud droplet effective radius correlations over major industrial regions and their adjacent oceans

   X. Ma, Hailing Jia, F. Yu, and 1 more author

   Geophysical Research Letters, 2018
3. Investigating impact of emission inventories on PM2.5 simulations over North China Plain by WRF-Chem

   X. Ma, T. Sha, J. Wang, and 2 more authors

   Atmospheric Environment, 2018

2017

1. Aerosol optical properties and direct radiative forcing at Taihu

   R. Lü, X. Yu, Hailing Jia, and 1 more author

   Applied Optics, 2017

2016

1. Particulate matter and gaseous pollutions in three megacities over China: Situation and implication

   X. Ma and Hailing Jia

   Atmospheric Environment, 2016
2. Can MODIS AOD be employed to derive PM2.5 in Beijing-Tianjin-Hebei over China?

   X. Ma, J. Wang, F. Yu, and 2 more authors

   Atmospheric Research, 2016