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Publication database KNMI

The publication database contains the (co-)authored publications in scientific journals, KNMI reports and other publications

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Publications

  1. A pseudo global warming based system to study how climate change affects high impact rainfall events

    Assessing the influence of climate change on extreme (convective) rainfall is challenging. In par...

    Lenderink, G., H. de Vries, E. van Meijgaard, W. de Rooy, L. van Ulft, V. Thompson, X. Qiu, and H. J. Fowler | Weather and Climate Extremes | 2025 | 49
  2. Global seasonal urban, industrial, and background NO2 estimated from TROPOMI satellite observations

    The tropospheric NO2 vertical column density (VCD) values measured by the Tropospheric Monitoring...

    Fioletov, V., McLinden, C. A., Griffin, D., Zhao, X., and Eskes, H. | Atmos. Chem. Phys. | 2025 | 25
  3. Evolution of aerosol optical depth over China in 2010–2024: increasing importance of meteorological influences

    Time series of Collection 6.1 of the MODerate resolution Imaging Spectroradiometer Multi-Angle I...

    Fan, C., de Leeuw, G., Yan, X., Dong, J., Kang, H., Fang, C., Li, Z., and Zhang, Y | Atmos. Chem. Phys | 2025 | 25
  4. A Review of City-Scale Methane Flux Inversion Based on Top-Down Methods

    As urbanization intensifies, the quantification of methane (CH4) emissions at city scales faces ...

    Li, X.; Zhang, Y.; de Leeuw, G.; Yao, X.; He, Z.; Wu, H.; Yang, Z. | . Remote Sens. | 2025 | 17
  5. Global Methane Retrieval, Monitoring, and Quantification in Hotspot Regions Based on AHSI/ZY-1 Satellite

    Methane is the second largest greenhouse gas. The detection of methane superemitters and the quan...

    Lu, T., Z. Li, C. Fan, Z. He, X. Jiang, Y. Zhang, Y. Gao, Y. Xuan, G. de Leeuw | Atmosphere | 2025 | 16
  6. A Neural Network Method for Ozone Retrieval using Himawari-8/AHI Geo-satellite Observations

    Ozone is a crucial atmospheric trace gas that protects life on Earth from harmful ultraviolet rad...

    Chen, X., Y. Yang, W. Xue, J. Li, B. Yang, K. Li, L. Wang, L. Li, S. Liu, G. de Leeuw | IEEE Transactions on Geoscience and Remote Sensing, | 2025 | 63
  7. An improved meteorological variables-based aerosol optical depth estimation method by combining a physical mechanism model with a two-stage model

    A two-stage model integrating a spatiotemporal linear mixed effect (STLME) and a geographic weig...

    Li, F., Shi, X., Wang, S., Wang, Z., de Leeuw, G., Li, Z., Li, L., Wang, W., Zhang, Y., Zhang, L. | Chemosphere | 2024 | 363
  8. Retrieval of hourly aerosol single scattering albedo over land using geostationary satellite data

    The single scattering albedo (SSA) of aerosol particles is one of the key variables that determin...

    Jiang, X., Xue, Y., de Leeuw, G., Chunlin Jin, C., Zhang, S., Sun, Y., Wu, S. | npj Clim Atmos Sci | 2024 | 7
  9. Opposite effects of aerosols and meteorological parameters on warm clouds in two contrasting regions over eastern China

    The sensitivity (S) of cloud parameters to the influence of different aerosol and meteorological ...

    Liu, Y., Lin, T., Zhang, J., Wang, F., Huang, Y., Wu, X., Ye, H., Zhang, G., Cao, X., and de Leeuw, G. | Atmos. Chem. Phys., 24, 4651–4673, | 2024 | 24
  10. Remote Sensing of Air Pollutants in China to Study the Effects of Emission Reduction Policies on Air Quality

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    de Leeuw, G., R. van der A, J. Bai, M. den Hoed, J. Ding, J. Guo, Z. Li, Y. Zhang, C. Fan, K. Qin, S. Sinnathamby, S. Safieddine, C. Varotsos, Y. Xue, Y. Yin, Q. Zhang, X. Zhang, X. Zhang, X. Zhang | Journal of Atmospheric and Solar-Terrestrial Physics | 2024 | 106392
  11. Current potential of CH4 emission estimates using TROPOMI in the Middle East

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    Liu, M., van der A, R., van Weele, M., Bryan, L., Eskes, H., Veefkind, P., Liu, Y., Lin, X., de Laat, J., and Ding, J. | Atmos. Meas. Tech. | 2024 | 17
  12. Improving Visibility Forecasting during Haze-fog Processes in Shanghai and Eastern China: the Significance of Aerosol and Hydrometeor Extinction

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    Y. Xie, X. Wang, Y. Gao, B. Chen, R. van der A, J. Ding, W. Gu, M. Zhou, H. Wang | Atmospheric Environment | 2024 | 120756
  13. NO2 satellite retrievals biased by absorption in water

    Localized tropospheric nitrogen oxides (NOx = NO + NO2) are mostly formed from emission sources, ...

    Labzovskii, L.D., van Geffen, J., Liu, M., van der A, R., de Laat, J., Leune, B., Eskes, H., Lin, X., Ding, J., Richter, A. | Nature Geoscience | 2024 | 17
  14. Quantifying daily NOx and CO2 emissions from Wuhan using satellite observations from TROPOMI and OCO-2

    Quantification and control of NOx and CO2 emissions are essential across the world to limit adver...

    Zhang, Q., Boersma, K. F., Zhao, B., Eskes, H., Chen, C., Zheng, H., and Zhang, X. | Atmos Chem Phys | 2023 | 23
  15. Significant contribution of inland ships to the total NOx emissions along the Yangtze River

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    Zhang, X., van der A, R., Ding, J., Zhang, X., and Yin, Y. | Atmos. Chem. Phys. | 2023 | 23
  16. Application of Gaussian Mixture Models for aerosol type analysis in China

    The relative contributions of different aerosol types to the total aerosol content were determine...

    Song, T., J. Wang, X. Yu, and G. de Leeuw | Atmospheric Research | 2023 | 294
  17. Retrievals of Precipitable Water Vapor and Aerosol Optical Depth from direct sun measurements with EKO MS711 and MS712 Spectroradiometers

    Based on the strict radiative transfer algorithm, a new method is developed to derive the Precipi...

    Qiao, C., Liu, S., Huo, J., Mu, X., Wang, P., Jia, S., Fan, X., and Duan, M | The EGU interactive community platform | 2022
  18. Influence of convection on the upper-tropospheric O3 and NOx budget in southeastern China

    Thunderstorms can significantly influence the air composition via strong updraft and lightning ni...

    Zhang, X., Yin, Y., van der A, R., Eskes, H., van Geffen, J., Li, Y., Kuang, X., Lapierre, J. L., Chen, K., Zhen, Z., Hu, J., He, C., Chen, J., Shi, R., Zhang, J., Ye, X. and Chen, H. | Atmospheric Chemistry and Physics | 2022
  19. Direct Retrieval of NO2 Vertical Columns from UV-Vis (390-495 nm) Spectral Radiances Using a Neural Network

    Satellite retrievals of columnar nitrogen dioxide (NO2) are essential for the characterization of...

    Li, C., Xu, X., Liu, X., Wang, J., Sun, K., van Geffen, J., Zhu, Q., Ma, J., Jin, J., Qin, K., He, Q., Xie, P., Ren, B. and Cohen, R. C. | JOURNAL OF REMOTE SENSING | 2022
  20. FY-4A/AGRI Aerosol Optical Depth Retrieval Capability Test and Validation Based on NNAeroG

    The Advanced Geostationary Radiation Imager (AGRI) is one of the main imaging sensors on the Feng...

    Ding, H., L. Zhao, S. Liu, X. Chen, G. de Leeuw, F. Wang, F. Zheng, Y. Zhang, J. Liu, J. Li, L. She, Y. Si, X. Gu. | Remote Sensing | 2022 | 14
  21. Neural Network AEROsol Retrieval for Geostationary Satellite (NNAeroG) Based on Temporal, Spatial and Spectral Measurements.

    Geostationary satellites observe the earth surface and atmosphere with a short repeat time, thus...

    Chen, X.; Zhao, L.; Zheng, F.; Li, J.; Li, L.; Ding, H.; Zhang, K.; Liu, S.; Li, D.; de Leeuw, G. | Remote Sensing | 2022 | 14
  22. On the Potential of 3D Transdimensional Surface Wave Tomography for Geothermal Prospecting of the Reykjanes Peninsula.

    Seismic travel time tomography using surface waves is an effective tool for three-dimensional cru...

    A. Rahimi Dalkhani, X. Zhang, and C. Weemstra | Remote Sensing | 2021 | 13
  23. Intercomparison of MAX-DOAS vertical profile retrieval algorithms: studies on field data from the CINDI-2 campaign

    The second Cabauw Intercomparison of Nitrogen Dioxide measuring Instruments (CINDI-2) took place ...

    Tirpitz, J.-L., Frieß, U., Hendrick, F., Alberti, C., Allaart, M., Apituley, A., Bais, A., Beirle, S., Berkhout, S., Bognar, K., Bösch, T., Bruchkouski, I., Cede, A., Chan, K. L., den Hoed, M., Donner, S., Drosoglou, T., Fayt, C., Friedrich, M. M., Frumau, A., Gast, L., Gielen, C., Gomez-Martín, L., Hao, N., Hensen, A., Henzing, B., Hermans, C., Jin, J., Kreher, K., Kuhn, J., Lampel, J., Li, A., Liu, C., Liu, H., Ma, J., Merlaud, A., Peters, E., Pinardi, G., Piters, A., Platt, U., Puentedura, O., Richter, A., Schmitt, S., Spinei, E., Stein Zweers, D., Strong, K., Swart, D., Tack, F., Tiefengraber, M., van der Hoff, R., van Roozendael, M., Vlemmix, T., Vonk, J., Wagner, T., Wang, Y., Wang, Z., Wenig, M., Wiegner, M., Wittrock, F., Xie, P., Xing, C., Xu, J., Yela, M., Zhang, C., and Zhao, X. | Atmos. Meas. Tech. | 2021 | 14
  24. What is the surface mass balance of Antarctica? An intercomparison of regional climate model estimates

    We compare the performance of five different regional climate models (RCMs) (COSMO-CLM2, HIRHAM5,...

    Mottram, R., Hansen, N., Kittel, C., van Wessem, J. M., Agosta, C., Amory, C., Boberg, F., van de Berg, W. J., Fettweis, X., Gossart, A., van Lipzig, N. P. M., van Meijgaard, E., Orr, A., Phillips, T., Webster, S., Simonsen, S. B., and Souverijns, N | The Cryosphere | 2021 | 15
  25. Multi-dimensional satellite observations of aerosol properties and aerosol types over three major urban clusters in eastern China

    Using 14 years (2007–2020) of data from passive (MODIS/Aqua) and active (CALIOP/CALIPSO) satellit...

    Liu, Y., Lin, T., Hong, J., Wang, Y., Shi, L., Huang, Y., Wu, X., Zhou, H., Zhang, J., and de Leeuw, G. | Atmos. Chem. Phys. | 2021