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Lingxiao Lu

affiliation not provided to SSRN

SCHOLARLY PAPERS

3

DOWNLOADS

126

TOTAL CITATIONS

0

Scholarly Papers (3)

1.

Observational Uncertainty Causes Over Half of Top-Down Nox Emissions Over Northern China to Be Either Biased or Unreliable

Number of pages: 42 Posted: 12 Oct 2024
affiliation not provided to SSRN, China University of Mining and Technology (CUMT) - School of Environment Science and Spatial Informatics, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 66 (907,769)

Abstract:

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NOx, Emissions, Observational Uncertainty, Model-free Inversion

2.

Observation-constrained black carbon radiative forcing from multi-sensor and multi-spectral remote sensing reveals divergent forcing pathways over Asian urban agglomerates

Number of pages: 49 Posted: 19 Apr 2026
affiliation not provided to SSRN, China University of Mining and Technology (CUMT) - School of Environment Science and Spatial Informatics, University of Colorado Boulder, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Dhaka University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Lille and affiliation not provided to SSRN
Downloads 35 (1,277,121)

Abstract:

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Black carbon, direct radiative forcing, AERONET, TROPOMI, MODIS-MAIAC

3.

Satellite-based inversion with NOx-derived priors uncovers underestimated SO2 emissions over coal-based regions of China

Number of pages: 47 Posted: 05 Mar 2026
affiliation not provided to SSRN, affiliation not provided to SSRN, China University of Mining and Technology (CUMT) - School of Environment Science and Spatial Informatics, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 25 (1,411,822)

Abstract:

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Tropomi, SO2, NOx, emissions, lifetime, sensitivity test, iterative training